47 results on '"van den Eertwegh, AJM"'
Search Results
2. Adjuvant treatment with anti-PD-1 in acral melanoma: a nationwide study.
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Bloem, Manja, van Not, Olivier, Aarts, Maureen, van den Berkmortel FWPJ, Franchette, Blank CU, Christian, Blokx WAM, Willeke, Boers-Sonderen, Marije, Bonenkamp HJ, Han, Willem de Groot JWB, Jan, Haanen JBAG, John, Hospers GAP, Geke, Kapiteijn E, Ellen, Piersma D, Djura, van Rijn RS, Rozemarijn, Boer, Marion Stevense-de, van der Veldt A, Astrid, Art A, Vreugdenhil, van den Eertwegh AJM, Fons, Suijkerbuijk KPM, Karijn, and Wouters MWJM, Michel
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MELANOMA - Published
- 2024
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3. And now for real: outcomes of castration-resistant prostate cancer patients in the Netherlands
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Westgeest, Hans, de Groot, Carin, Gerritsen, WR, van den Eertwegh, AJM (Fons), and Health Technology Assessment (HTA)
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SDG 3 - Good Health and Well-being - Abstract
The CAstration-resistant Prostate cancer RegIstry (CAPRI) has provided evidence on differences between trial and real world populations (Part 1). Based on strict selection criteria at baseline, outcomes in trial populations are more favorable compared to the real world. Trials have provided efficacy data on new life prolonging drugs (LPDs) but effectiveness in CAPRI was lower in patients with differential baseline characteristics. To ensure optimal outcomes, the importance of an adequate estimation of the trial eligibility and health status of metastatic castration-resistant prostate cancer (CRPC) patients in daily practice is important to ensure optimal treatment outcomes. In CAPRI, real world outcomes in CRPC were studied (Part 2). LPDs have led to increased treatment options in CRPC patients, which was related to increased overall survival in the period 2010-2018. Over time the course of disease still has a negative impact on health-related quality of life (HRQoL), with deterioration in all domains, especially with respect to role and physical functioning. These domains need specific attention during follow-up to maintain HRQoL as long as possible by timely start of adequate supportive care management. In the end of life phase, we observed a high intensity care in 41% of CRPC patients. This high intensity care is not easily justifiable due to high economic cost and little effect on life span or improvement of quality of life. Lessons from real world data may help to improve routine care (Part 3). We observed no differences in outcomes of patients treated with sequential abiraterone acetate plus prednisone and enzalutamide with or without interposed chemotherapy or radium- 223, with low response rates (around 20% PSA responses) of the second treatment. The additional effect of a second treatment with abiraterone or enzalutamide in daily practice is therefore questioned. Prospective trials have confirmed this observation. In the next chapter, we developed a prognostic model and identified a subgroup of patients in whom third-line LPD treatment has no meaningful benefit, although this has to be confirmed in prospective trials. In the last chapter, we presented a detailed guide for clinicians through the (sometimes complex) steps in developing a useful prediction model for CRPC patients.
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- 2022
4. Cost-effectiveness of treatment sequences for BRAF-mutant advanced melanoma in the Netherlands using a health economic model.
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Blommestein HM, de Groot S, Leeneman B, Uyl-de Groot CA, Haanen JBAG, Wouters MWJM, Aarts MJB, van den Berkmortel FWPJ, Blokx WAM, Boers-Sonderen MJ, van den Eertwegh AJM, de Groot JWB, Hospers GAP, Kapiteijn E, van Not OJ, van der Veldt AAM, Suijkerbuijk KPM, and Franken MG
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- Humans, Netherlands, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Antineoplastic Combined Chemotherapy Protocols economics, Sulfonamides economics, Sulfonamides therapeutic use, Carbamates economics, Carbamates therapeutic use, Nivolumab economics, Nivolumab therapeutic use, Drug Costs, Skin Neoplasms genetics, Skin Neoplasms drug therapy, Skin Neoplasms economics, Markov Chains, Male, Female, Benzimidazoles, Melanoma genetics, Melanoma drug therapy, Melanoma economics, Cost-Benefit Analysis, Proto-Oncogene Proteins B-raf genetics, Models, Economic, Mutation, Ipilimumab economics, Ipilimumab therapeutic use, Quality-Adjusted Life Years
- Abstract
Background: This study aims to evaluate the cost-effectiveness of treatment sequences for patients with advanced melanoma with a BRAF mutation in the Netherlands from a societal perspective., Methods: A semi-Markov model with a life-time horizon has been used to evaluate cost-effectiveness of 21 treatment sequences. Real-world data from the Dutch Melanoma Treatment Registry (DMTR) were used to estimate time to progression, next treatment and death. Utilities by health state as well as hospital costs, health care costs outside the hospital, patient and family costs and productivity costs were also derived from the DMTR. Drug costs were estimated based on the recommended dose and duration of treatment. Incremental cost-effectiveness ratios (ICERs) were presented as incremental costs per QALY gained., Results: Health benefits of treatment sequences consisting of targeted therapies and immunotherapies vary between 2.3 and 5.8 QALYs gained per patient when compared to chemotherapy. The increase in costs varies between €112,000 and €383,000. The efficiency frontier consists of nivolumab in the first line followed by ipilimumab in the second line (ICERs of €42,000/QALY and €44,000/QALY), nivolumab in the first line followed by encorafenib plus binimetinib in the second line (ICERs of €71,000/QALY and €68,000/QALY) and nivolumab plus ipilimumab in the first line followed by encorafenib plus binimetinib in the second line (ICERs of €74,000/QALY and €76,000/QALY). The first treatment given within a sequence as well as assumptions regarding treatment duration have a substantial impact on cost-effectiveness outcomes., Conclusion: The ICERs can be considered cost-effective at different cost-effectiveness thresholds., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Saskia de Groot, Hedwig M. Blommestein, Brenda Leeneman, Carin A. Uyl- de Groot and Margreet G. Franken received (unrestricted) research grants paid to the institute for Medical Technology Assessment from Erasmus University Medical Center .and the Dutch National Health Care Institute. The funding agreements ensured the authors’ independence in designing the study, interpreting the data, writing, and publishing the report. Hedwig M. Blommestein has received grants from The Netherlands Organization for Health Research and Development (ZonMw), Medical Delta, the Dutch Healthcare Institute (ZIN) and the CADTH (Canadian Agency for Drugs and Technologies in Health), and an advisory board fee from Pfizer, payments were made to the institute, outside the submitted work. Carin A. Uyl- de Groot has received grants or contracts from Boehringer Ingelheim, Astellas, Celgene, Sanofi, Janssen-Cilag, Bayer, Amgen, Genzyme, Merck, Gilead, Novartis, AstraZeneca, Roche, NIH, and ASCERTAIN, all payments were made to the institute, outside the submitted work. John B.A.G. Haanen reports research grants to the institution from Asher Bio, Amgen, BioNTech, Bristol Myers Squibb, Novartis, and Sastra Cell Therapy, consultation fees to the institution from Achilles Tx, AstraZeneca, BioNTech, Bristol Myers Squibb, CureVac, Eisai, GlaxoSmithKline, Imcyse, Immunocore, Instil Bio, Iovance Bio, Merck, Merck Sharp & Dohme, Neogene Tx, Novartis, Obsidian Tx, Roche, Sanofi, Sastra Cell Therapy, Third Rock Ventures, and T-Knife, and stock options from Neogene Tx and Sastra Cell Therapy. Maureen J.B. Aarts has advisory board/consultancy honoraria from Amgen, Bristol Myers Squibb, Novartis, MSD-Merck, Merck-Pfizer, Pierre Fabre, Sanofi, Astellas, Bayer. She received travel expenses from Astella, BMS, Janssen, Pfizer, and Sanofi and a research grant from Merck-Pfizer. Not related to current work and paid to institute. Alfons J.M. van den Eertwegh has advisory relationships with Amgen, Bristol Myers Squibb, Roche, Novartis, MSD, Pierre Fabre, Sanofi, Pfizer, Ipsen, Merck and has received research study grants not related to this paper from Sanofi, Bristol Myers Squibb, Idera and TEVA and has received travel expenses from MSD Oncology, Roche, Pfizer, Pierre Fabre, and Sanofi. Geke A.P. Hospers has consultancy/advisory relationships with Amgen, Bristol Myers Squibb, Roche, MSD, Pfizer, Novartis, Sanofi, Pierre Fabre and has received research grants not related to this paper from Bristol Myers Squibb and Seerave. All payments were paid to the institution. Astrid A.M. van der Veldt has consultancy relationships with Bristol Myers Squibb, MSD, Roche, Novartis, Pierre Fabre, Pfizer, Sanofi, Ipsen, Eisai all paid to the institute. Karijn P.M. Suijkerbuijk has consulting/advisory relationship with Abbvie, Pierre Fabre, and Sairopa. She received honoraria received from Novartis, Roche, Merck Sharp and Dome and research funding not related to this paper from Genmab, TigaTx, Bristol Myers Squibb, and Philips. All paid to institution. All remaining authors have declared no conflicts of interest., (Copyright © 2025. Published by Elsevier Ltd.)
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- 2025
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5. Development of a Decision Model to Estimate the Outcomes of Treatment Sequences in Advanced Melanoma.
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de Groot S, Blommestein HM, Leeneman B, Uyl-de Groot CA, Haanen JBAG, Wouters MWJM, Aarts MJB, van den Berkmortel FWPJ, Blokx WAM, Boers-Sonderen MJ, van den Eertwegh AJM, de Groot JWB, Hospers GAP, Kapiteijn E, van Not OJ, van der Veldt AAM, Suijkerbuijk KPM, and van Baal PHM
- Abstract
Background: A decision model for patients with advanced melanoma to estimate outcomes of a wide range of treatment sequences is lacking., Objectives: To develop a decision model for advanced melanoma to estimate outcomes of treatment sequences in clinical practice with the aim of supporting decision making. The article focuses on methodology and long-term health benefits., Methods: A semi-Markov model with a lifetime horizon was developed. Transitions describing disease progression, time to next treatment, and mortality were estimated from real-world data (RWD) as a function of time since starting treatment or disease progression and patient characteristics. Transitions were estimated separately for melanoma with and without a BRAF mutation and for patients with favorable and intermediate prognostic factors. All transitions can be adjusted using relative effectiveness of treatments derived from a network meta-analysis of randomized controlled trials (RCTs). The duration of treatment effect can be adjusted to obtain outcomes under different assumptions., Results: The model distinguishes 3 lines of systemic treatment for melanoma with a BRAF mutation and 2 lines of systemic treatment for melanoma without a BRAF mutation. Life expectancy ranged from 7.8 to 12.0 years in patients with favorable prognostic factors and from 5.1 to 8.7 years in patients with intermediate prognostic factors when treated with sequences consisting of targeted therapies and immunotherapies. Scenario analyses illustrate how estimates of life expectancy depend on the duration of treatment effect., Conclusion: The model is flexible because it can accommodate different treatments and treatment sequences, and the duration of treatment effects and the transitions influenced by treatment can be adjusted. We show how using RWD and data from RCTs can harness advantages of both data sources, guiding the development of future decision models., Highlights: The model is flexible because it can accommodate different treatments and treatment sequences, and the duration of treatment effects as well as the transitions that are influenced by treatment can be adjusted.The long-term health benefits of treatment sequences depend on the place of different therapies within a treatment sequence.Assumptions about the duration of relative treatment effects influence the estimates of long-term health benefits.We show how the use of real-world data and data from randomized controlled trials harness the advantages of both data sources, guiding the development of future decision models., Competing Interests: The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Saskia de Groot, Hedwig M. Blommestein, Brenda Leeneman, Carin A. Uyl-de Groot, Margreet G. Franken, and Pieter H. M. van Baal received an unrestricted research grant paid to iMTA from Erasmus University Medical Center. Hedwig M. Blommestein has received grants from The Netherlands Organization for Health Research and Development (ZonMw), Medical Delta, the Dutch Healthcare Institute (ZIN), and the Canadian Agency for Drugs and Technologies in Health (CADTH) and an advisory board fee from Pfizer; payments were made to the institute outside the submitted work. Carin A. Uyl-de Groot has received grants or contracts from Boehringer Ingelheim, Astellas, Celgene, Sanofi, Janssen-Cilag, Bayer, Amgen, Genzyme, Merck, Gilead, Novartis, AstraZeneca, Roche, NIH, and ASCERTAIN; all payments were made to the institute outside the submitted work. John B.A.G. Haanen reports research grants to the institution from Asher Bio, Amgen, BioNTech, Bristol Myers Squibb, Novartis, and Sastra Cell Therapy; consultation fees to the institution from Achilles Tx, AstraZeneca, BioNTech, Bristol Myers Squibb, CureVac, Eisai, GlaxoSmithKline, Imcyse, Immunocore, Instil Bio, Iovance Bio, Merck, Merck Sharp & Dohme, Neogene Tx, Novartis, Obsidian Tx, Roche, Sanofi, Sastra Cell Therapy, Third Rock Ventures, and T-Knife; and stock options from Neogene Tx and Sastra Cell Therapy. Maureen J. B. Aarts has received advisory board/consultancy honoraria from Amgen, Bristol Myers Squibb, Novartis, MSD-Merck, Merck-Pfizer, Pierre Fabre, Sanofi, Astellas, and Bayer. She received travel expenses from Astella, BMS, Janssen, Pfizer, and Sanofi and a research grant from Merck-Pfizer. These were not related to the current work and paid to the institute. Alfons J. M. van den Eertwegh has advisory relationships with Amgen, Bristol Myers Squibb, Roche, Novartis, MSD, Pierre Fabre, Sanofi, Pfizer, Ipsen, and Merck and has received research study grants not related to this article from Sanofi, Bristol Myers Squibb, Idera, and TEVA and has received travel expenses from MSD Oncology, Roche, Pfizer, Pierre Fabre, and Sanofi. Geke A. P. Hospers has consultancy/advisory relationships with Amgen, Bristol Myers Squibb, Roche, MSD, Pfizer, Novartis, Sanofi, and Pierre Fabre and has received research grants not related to this article from Bristol Myers Squibb and Seerave. All payments were paid to the institution. Astrid A. M. van der Veldt has consultancy relationships with Bristol Myers Squibb, MSD, Roche, Novartis, Pierre Fabre, Pfizer, Sanofi, Ipsen, and Eisai, all paid to the institute. Karijn P. M. Suijkerbuijk has consulting/advisory relationships with Abbvie, Pierre Fabre, and Sairopa. She received honoraria received from Novartis, Roche, Merck Sharp, and Dome and research funding not related to this article from Genmab, TigaTx, Bristol Myers Squibb, and Philips. All were paid to the institution. The remaining authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by an unrestricted grant from the Erasmus University Medical Centre. Data were used from the Dutch Melanoma Treatment Registry (DMTR). The Dutch Institute for Clinical Auditing foundation (DICA) received a start-up grant for the DMTR from The Netherlands Organization for Health Research and Development (ZonMW, grant No. 836002002). From its foundation, the DMTR has been sponsored by Bristol Myers Squibb, Novartis, Roche Nederland, Merck Sharp & Dohme, and Pierre Fabre via the DICA. The DMTR is structurally funded by Bristol-Myers Squibb, Merck Sharpe & Dohme, Novartis and Roche Nederland. Roche Nederland stopped and Pierre Fabre started funding of the DMTR in 2019.
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- 2025
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6. Corrigendum to "Adjuvant immunotherapy in older patients with stage III and resected stage IV melanoma: Toxicity and recurrence-free survival outcomes from the Dutch melanoma treatment registry" [Eur. J. Cancer 212, 2024, 115056].
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Özkan A, Kapiteijn E, van den Bos F, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Bloem M, Blokx WAM, Boers-Sonderen MJ, Bonenkamp JJ, van den Eertwegh AJM, de Groot JWB, Haanen JB, Holtslag CE, Hospers GAP, Piersma D, van Rijn RS, Stevense-den Boer AM, Suijkerbuijk KPM, van der Veldt AAM, Vreugdenhil G, Wouters MWJM, Portielje JEA, and de Glas NA
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- 2025
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7. Avelumab + axitinib versus sunitinib as first-line treatment for patients with advanced renal cell carcinoma: final analysis of the phase III JAVELIN Renal 101 trial.
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Choueiri TK, Penkov K, Uemura H, Campbell MT, Pal S, Kollmannsberger C, Lee JL, Venugopal B, van den Eertwegh AJM, Negrier S, Gurney H, Albiges L, Berger R, Haanen JBAG, Oyervides Juárez V, Rini BI, Larkin J, Nolè F, Schmidinger M, Atkins MB, Tomita Y, Ellers-Lenz B, Hoffman J, Sandner R, Wang J, di Pietro A, and Motzer RJ
- Abstract
Background: In the phase III JAVELIN Renal 101 trial (NCT02684006), first-line treatment with avelumab + axitinib resulted in significantly longer progression-free survival (PFS) and a higher objective response rate (ORR) versus sunitinib in patients with advanced renal cell carcinoma (aRCC). We report the final analysis, including the primary analysis of overall survival (OS)., Patients and Methods: Patients with untreated aRCC (any prognostic risk score) were enrolled. The primary endpoints were OS and PFS in the programmed death-ligand 1-positive (PD-L1+) population. ORR, duration of response, safety, and patient-reported outcomes (PROs) were also assessed., Results: The minimum follow-up was 68 months in all patients. The median OS with avelumab + axitinib versus sunitinib, respectively, was 43.2 months [95% confidence interval (CI) 36.5-51.7 months] versus 36.2 months (95% CI 29.8-44.2 months) in the PD-L1+ population [hazard ratio (HR) 0.86 (95% CI 0.701-1.057); P = 0.0755] and 44.8 months (95% CI 39.7-51.1 months) versus 38.9 months (95% CI 31.4-45.2 months) in the overall population [HR 0.88 (95% CI 0.749-1.039); P = 0.0669]. Investigator-assessed PFS remained prolonged with avelumab + axitinib versus sunitinib [5-year event-free rate in the overall population, 12.0% (95% CI 8.9% to 15.6%) versus 4.4% (95% CI 2.5% to 7.3%)]. ORR in the overall population was 59.7% (95% CI 55.0% to 64.3%) with avelumab + axitinib versus 32.0% (95% CI 27.7% to 36.5%) with sunitinib; duration of response was ≥5 years in 16.4% (95% CI 12.0% to 21.4%) versus 9.2% (95% CI 4.6% to 15.7%), respectively. Rates of grade ≥3 treatment-related adverse events were 66.8% versus 61.5%, respectively. PROs were similar between arms., Conclusions: JAVELIN Renal 101 provides the longest follow-up to date for immune checkpoint inhibitor + tyrosine kinase inhibitor combination treatment from a phase III trial in aRCC. OS analyses favored avelumab + axitinib versus sunitinib but did not reach statistical significance; subsequent treatment may have impacted results. Avelumab + axitinib provided long-term efficacy benefits versus sunitinib, including prolonged PFS, a nearly doubled ORR, and more durable responses, with a manageable long-term safety profile., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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8. Neoadjuvant Nivolumab and Ipilimumab in Resectable Stage III Melanoma.
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Blank CU, Lucas MW, Scolyer RA, van de Wiel BA, Menzies AM, Lopez-Yurda M, Hoeijmakers LL, Saw RPM, Lijnsvelt JM, Maher NG, Pulleman SM, Gonzalez M, Torres Acosta A, van Houdt WJ, Lo SN, Kuijpers AMJ, Spillane A, Klop WMC, Pennington TE, Zuur CL, Shannon KF, Seinstra BA, Rawson RV, Haanen JBAG, Ch'ng S, Naipal KAT, Stretch J, van Thienen JV, Rtshiladze MA, Wilgenhof S, Kapoor R, Meerveld-Eggink A, Grijpink-Ongering LG, van Akkooi ACJ, Reijers ILM, Gyorki DE, Grünhagen DJ, Speetjens FM, Vliek SB, Placzke J, Spain L, Stassen RC, Amini-Adle M, Lebbé C, Faries MB, Robert C, Ascierto PA, van Rijn R, van den Berkmortel FWPJ, Piersma D, van der Westhuizen A, Vreugdenhil G, Aarts MJB, Stevense-den Boer MAM, Atkinson V, Khattak M, Andrews MC, van den Eertwegh AJM, Boers-Sonderen MJ, Hospers GAP, Carlino MS, de Groot JB, Kapiteijn E, Suijkerbuijk KPM, Rutkowski P, Sandhu S, van der Veldt AAM, and Long GV
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- Adult, Aged, Female, Humans, Male, Middle Aged, Chemotherapy, Adjuvant methods, Chemotherapy, Adjuvant statistics & numerical data, Disease-Free Survival, Kaplan-Meier Estimate, Progression-Free Survival, Young Adult, Aged, 80 and over, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Antineoplastic Combined Chemotherapy Protocols adverse effects, Ipilimumab administration & dosage, Ipilimumab adverse effects, Ipilimumab therapeutic use, Melanoma mortality, Melanoma pathology, Melanoma therapy, Neoadjuvant Therapy methods, Neoadjuvant Therapy statistics & numerical data, Neoplasm Staging, Nivolumab therapeutic use, Nivolumab adverse effects, Nivolumab administration & dosage, Skin Neoplasms mortality, Skin Neoplasms pathology, Skin Neoplasms therapy
- Abstract
Background: In phase 1-2 trials in patients with resectable, macroscopic stage III melanoma, neoadjuvant immunotherapy was more efficacious than adjuvant immunotherapy., Methods: In this phase 3 trial, we randomly assigned patients with resectable, macroscopic stage III melanoma to two cycles of neoadjuvant ipilimumab plus nivolumab followed by surgery or surgery followed by 12 cycles of adjuvant nivolumab. Only patients in the neoadjuvant group with a partial response or nonresponse received adjuvant treatment. The primary end point was event-free survival., Results: A total of 423 patients underwent randomization. At a median follow-up of 9.9 months, the estimated 12-month event-free survival was 83.7% (99.9% confidence interval [CI], 73.8 to 94.8) in the neoadjuvant group and 57.2% (99.9% CI, 45.1 to 72.7) in the adjuvant group. The difference in restricted mean survival time was 8.00 months (99.9% CI, 4.94 to 11.05; P<0.001; hazard ratio for progression, recurrence, or death, 0.32; 99.9% CI, 0.15 to 0.66). In the neoadjuvant group, 59.0% of patients had a major pathological response, 8.0% had a partial response, 26.4% had a nonresponse (>50% residual viable tumor), and 2.4% had progression; in 4.2%, surgery had not yet been performed or was omitted. The estimated 12-month recurrence-free survival was 95.1% in patients in the neoadjuvant group who had a major pathological response, 76.1% among those with a partial response, and 57.0% among those with a nonresponse. Adverse events of grade 3 or higher that were related to systemic treatment occurred in 29.7% of patients in the neoadjuvant group and in 14.7% in the adjuvant group., Conclusions: Among patients with resectable, macroscopic stage III melanoma, neoadjuvant ipilimumab plus nivolumab followed by surgery and response-driven adjuvant therapy resulted in longer event-free survival than surgery followed by adjuvant nivolumab. (Funded by Bristol Myers Squibb and others; NADINA ClinicalTrials.gov number, NCT04949113.)., (Copyright © 2024 Massachusetts Medical Society.)
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- 2024
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9. Adjuvant immunotherapy in older patients with stage III and resected stage IV melanoma: Toxicity and recurrence-free survival outcomes from the Dutch melanoma treatment registry.
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Özkan A, Kapiteijn E, van den Bos F, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Bloem M, Blokx WAM, Boers-Sonderen MJ, Bonenkamp JJ, van den Eertwegh AJM, de Groot JWB, Haanen JB, Holtslag CE, Hospers GAP, Piersma D, van Rijn RS, Stevense-den Boer AM, Suijkerbuijk KPM, van der Veldt AAM, Vreugdenhil G, Wouters MWJM, Portielje JEA, and de Glas NA
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- Humans, Male, Female, Aged, Netherlands epidemiology, Aged, 80 and over, Chemotherapy, Adjuvant adverse effects, Immune Checkpoint Inhibitors therapeutic use, Immune Checkpoint Inhibitors adverse effects, Immunotherapy adverse effects, Immunotherapy methods, Neoplasm Recurrence, Local, Age Factors, Melanoma mortality, Melanoma pathology, Melanoma drug therapy, Registries, Skin Neoplasms mortality, Skin Neoplasms pathology, Skin Neoplasms drug therapy, Neoplasm Staging
- Abstract
Background: Adjuvant anti-PD-1 therapy improves relapse free survival in stage III melanoma, but also leads to immune-related adverse events (irAEs). Older patients are of particular interest due to comorbidities and frailty, which may impact their ability to tolerate irAEs and benefit from anti-PD-1 therapy. This study aimed to explore associations between clinical parameters and the occurrence of grade ≥ 3 irAEs and recurrence-free survival (RFS) in older patients with radically resected stage III/IV cutaneous melanoma treated with adjuvant anti-PD-1 therapy., Methods: Patients aged ≥ 65 with resected stage III/IV cutaneous melanoma treated with adjuvant anti-PD-1 therapy between 2018 and 2022 were selected using real-world data from the nationwide Dutch Melanoma Treatment Registry (DMTR). A univariate and multivariable logistic regression was used to compare determinants of grade ≥ 3 irAEs, and univariate and multivariable Cox-proportional hazard models were fitted to identify factors influencing RFS., Results: The study included 885 patients, with 280 aged 75 and older. The incidence of grade ≥ 3 irAEs was 15.5 % in the 65-74 age group and 13.9 % in the ≥ 75 age group. No significant correlation was found between age and grade ≥ 3 irAEs. However, an increasing number of comorbidities was associated with a higher risk of grade ≥ 3 irAEs (multivariable analyses: OR 1.83, 95 % C.I. 0.99-3.40). The 1-year RFS rate of 80.0 % of this study was comparable to those reported in previous registration trials and real-world data. Having ≥ 3 comorbidities was significantly associated with a decrease in RFS (HR: 1.68, 95 % C.I. 1.15-2.44)., Conclusion: Older patients had similar benefit of adjuvant immunotherapy compared to older subgroups in previous trials. However, patients with multiple comorbidities were at increased risk of grade ≥ 3 irAEs and had a lower RFS. This should be considered when deciding upon adjuvant treatment., Competing Interests: Declaration of Competing Interest All remaining authors have declared no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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10. Adjuvant treatment with anti-PD-1 in acral melanoma: A nationwide study.
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Bloem M, van Not OJ, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Blokx WAM, Boers-Sonderen MJ, Bonenkamp JJ, de Groot JB, Haanen JB, Hospers GAP, Kapiteijn EW, de Meza MM, Piersma D, van Rijn RS, Stevense-den Boer MAM, van der Veldt AAM, Vreugdenhil G, van den Eertwegh AJM, Suijkerbuijk KPM, and Wouters MWJM
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- Humans, Male, Female, Middle Aged, Aged, Chemotherapy, Adjuvant methods, Prospective Studies, Adult, Mutation, Netherlands epidemiology, Aged, 80 and over, Melanoma, Cutaneous Malignant, Registries, Programmed Cell Death 1 Receptor antagonists & inhibitors, Melanoma drug therapy, Melanoma genetics, Melanoma mortality, Melanoma pathology, Immune Checkpoint Inhibitors therapeutic use, Skin Neoplasms drug therapy, Skin Neoplasms pathology, Skin Neoplasms genetics, Skin Neoplasms mortality
- Abstract
Previous studies demonstrated limited efficacy of immune checkpoint inhibitors in unresectable acral melanoma (AM); it remains unclear how this translates to the adjuvant setting. This study investigates clinical outcomes of acral compared to cutaneous melanoma (CM) patients treated with adjuvant anti-PD-1 after complete resection. All stages III-IV AM and CM patients receiving adjuvant anti-PD-1 after complete resection between 2018 and 2022 were included from the prospective nationwide Dutch Melanoma Treatment Registry. We analyzed recurrence-free survival (RFS), distant metastasis-free survival (DMFS), and overall survival (OS). A multivariable Cox regression analysis of RFS was performed to adjust for potential confounders. We included 1958 (86 AM and 1872 CM) patients. At baseline, AM patients more frequently had KIT mutations, higher disease stages, and Eastern Cooperative Oncology Group Performance Status, and fewer BRAF and NRAS mutations. Median RFS was 14.8 months (95% confidence interval [CI]: 11.5-29.3) in AM and 37.4 months (95% CI: 34.6 to not reached) in CM (p = .002). After correcting for potential confounders, AM remained associated with a higher risk of recurrence (HR
adj 1.53; 95% CI: 1.07-2.17; p = .019). Two-year DMFS tended to be worse for AM than for CM: 64.5% versus 79.7% (p = .050). Two-year OS was significantly lower in AM (71.5% vs. 84.3%; p = .027). The results of this study suggest a poorer outcome of adjuvant-treated AM compared to CM. Studies assessing the added value of adjuvant treatment in AM are needed. Future research should investigate alternative treatment strategies to improve outcomes of high-risk AM., (© 2024 The Author(s). International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)- Published
- 2024
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11. The Innate Immune Landscape of dMMR/MSI Cancers Predicts the Outcome of Nivolumab Treatment: Results from the Drug Rediscovery Protocol.
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Zeverijn LJ, Geurts BS, Battaglia TW, van Berge Henegouwen JM, de Wit GF, Hoes LR, van der Wijngaart H, van der Noort V, Roepman P, de Leng WWJ, Jansen AML, Chalabi M, van Herpen CML, Devriese LA, Erdkamp FLG, Labots M, de Jonge MJA, Kerver ED, Bins AD, Leek LVM, Notohardjo JCL, van den Eertwegh AJM, Wessels LFA, Verheul HMW, Gelderblom H, van de Haar J, and Voest EE
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- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Antineoplastic Agents, Immunological therapeutic use, Biomarkers, Tumor genetics, DNA Mismatch Repair, Immune Checkpoint Inhibitors therapeutic use, Prognosis, Treatment Outcome, Prospective Studies, Immunity, Innate drug effects, Microsatellite Instability, Neoplasms drug therapy, Neoplasms immunology, Neoplasms genetics, Neoplasms mortality, Nivolumab therapeutic use, Nivolumab administration & dosage
- Abstract
Purpose: The treatment efficacy of nivolumab was evaluated in patients with advanced, treatment-refractory solid mismatch repair deficiency/microsatellite-instable (dMMR/MSI) tumors, and in-depth biomarker analyses were performed to inform precision immunotherapy approaches., Patients and Methods: Patients with dMMR/MSI tumors who exhausted standard-of-care treatment options were enrolled in the Drug Rediscovery Protocol, a pan-cancer clinical trial that treats patients with cancer based on their tumor molecular profile with off-label anticancer drugs (NCT02925234). Patients received nivolumab (four cycles of 240 mg every 2 weeks, thereafter 480 mg every 4 weeks). The primary endpoint was clinical benefit (CB: objective response or stable disease ≥16 weeks). Whole-genome sequencing and RNA sequencing were performed on pretreatment tumor biopsies., Results: A total of 130 evaluable patients were enrolled with 16 different cancer types. CB was observed in 62% [95% confidence interval (CI), 53-70], with an objective response in 45% (95% CI, 36-54). After a median follow-up of 14.5 months (95% CI, 13-19), the median progression-free survival was 18 months (95% CI, 9-not reached), and the median overall survival was not reached. Whereas CB was not, or only weakly, associated with markers of adaptive immune cell infiltration, CB was strongly associated with expression of a broad set of innate immune receptors/ligands. This clearly contrasted findings in melanoma, in which markers of adaptive immunity dominated the biomarker landscape., Conclusions: Nivolumab proved highly effective in advanced dMMR/MSI tumors. Expression of key innate immune receptors/ligands was the main predictor of a good treatment outcome, contrasting findings in melanoma and strengthening the rationale for tumor type-specific biomarkers for guiding immunotherapy., (©2024 American Association for Cancer Research.)
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- 2024
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12. Adjuvant pembrolizumab versus placebo in resected stage III melanoma (EORTC 1325-MG/KEYNOTE-054): long-term, health-related quality-of-life results from a double-blind, randomised, controlled, phase 3 trial.
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Bührer E, Kicinski M, Mandala M, Pe M, Long GV, Atkinson V, Blank CU, Haydon A, Dalle S, Khattak A, Carlino MS, Meshcheryakov A, Sandhu S, Puig S, Schadendorf D, Jamal R, Rutkowski P, van den Eertwegh AJM, Coens C, Grebennik D, Krepler C, Robert C, and Eggermont AMM
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- Humans, Female, Male, Double-Blind Method, Middle Aged, Aged, Chemotherapy, Adjuvant, Antineoplastic Agents, Immunological therapeutic use, Antineoplastic Agents, Immunological adverse effects, Adult, Time Factors, Antibodies, Monoclonal, Humanized therapeutic use, Antibodies, Monoclonal, Humanized adverse effects, Melanoma drug therapy, Melanoma pathology, Melanoma surgery, Quality of Life, Neoplasm Staging, Skin Neoplasms drug therapy, Skin Neoplasms pathology, Skin Neoplasms surgery, Skin Neoplasms mortality
- Abstract
Background: In the European Organisation for Research and Treatment of Cancer (EORTC) 1325-MG/KEYNOTE-054 study, adjuvant pembrolizumab improved recurrence-free survival and distant-metastasis-free survival in patients with resected stage III melanoma. Earlier results showed no effect of pembrolizumab on health-related quality of life (HRQOL). Little is known about HRQOL after completion of treatment with pembrolizumab, an important research area concerning patients who are likely to become long-term survivors. This study reports long-term HRQOL results., Methods: This double-blind, randomised, controlled, phase 3 trial compared adjuvant pembrolizumab with placebo in patients aged 18 years or older with previously untreated stage IIIA, IIIB, or IIIC resected cutaneous melanoma and an Eastern Cooperative Oncology Group performance status score of 1 or 0, recruited from 123 academic centres and community hospitals in 23 countries. Patients were randomly assigned (1:1) with a minimisation technique stratified for stage and geographical region to receive 200 mg of intravenous pembrolizumab or placebo every 3 weeks for up to 18 doses. Investigators, patients, and those collecting or analysing data were masked to group assignment. The primary endpoint of the trial was recurrence-free survival (reported elsewhere). HRQOL was a prespecified exploratory endpoint, measured with the EORTC Quality of Life Questionnaire-Core 30. All patients with a baseline HRQOL evaluation available who were alive 108 weeks from randomisation were included in this analysis of long-term HRQOL. Long-term HRQOL included assessments measured every 6 months between 108 weeks and 48 months after randomisation. The threshold of clinical relevance for all HRQOL scales used was an average change of 5 points. The trial is ongoing, recruitment is completed, and HRQOL data collection is finalised. This study is registered with ClinicalTrials.gov, NCT02362594, and EudraCT, 2014-004944-37., Findings: Between Aug 26, 2015, and Nov 14, 2016, 1019 patients were randomly assigned to pembrolizumab (n=514) or placebo (n=505). Completion of the HRQOL evaluation at baseline exceeded 90% (481 [94%] patients in the pembrolizumab group and 467 [92%] in the placebo group), and ranged between 60% and 90% for post-baseline timepoints. Among patients with a baseline HRQOL evaluation, 365 (39%) were female and 583 (61%) were male. The mean change from baseline to long-term HRQOL was -0·56 (95% CI -2·33 to 1·22) in the pembrolizumab group and 1·63 (-0·12 to 3·38) in the placebo group. The difference between the two groups was -2·19 (-4·65 to 0·27, p=0·081). Differences for all other scales were smaller than 5 and not statistically significant., Interpretation: Adjuvant pembrolizumab did not have a significant impact on long-term HRQOL compared with placebo in patients with resected stage III melanoma. These findings, together with earlier results on efficacy and HRQOL, support the use of pembrolizumab in this setting., Funding: Merck Sharp & Dohme., Competing Interests: Declaration of interests EB's spouse and daughter hold shares in Sandoz, Galenica, Alcon, Roche, and Novartis. MK reports study funding paid to the institution by Merck Sharp & Dohme (MSD) since the initial planning of the work, and study funding paid to the institution from Bristol Myers Squibb (BMS), Immunocore, Johnson & Johnson, and Pierre Fabre in the past 36 months. MM reports payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or educational events from BMS, MSD, Novartis, Pierre Fabre, Sanofi, and Sun Pharma. GVL reports consulting fees from Agenus, Amgen, Array Biopharma, AstraZeneca, Bayer, BioNTech, Boehringer Ingelheim, BMS, Evaxion, Hexal AG (Sandoz Company), Highlight Therapeutics, IOBiotech, Immunocore, Innovent Biologics USA, MSD, Novartis, PHMR, Pierre Fabre, Regeneron, Scancell, and SkylineDX BV. VA reports payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from BMS, MSD, Novartis; support from BMS for attending meetings or travel; participation on a data safety monitoring board or advisory board for BMS, MSD, Novartis, and Immunocore; CUB reports personal fees from MSD, grants and personal fees from Novartis and BMS, personal fees from Roche, GSK, AstraZeneca, Pfizer, Lilly, GenMAB, Pierre Fabre, and Third Rock ventures, grants from NanoString and 4SC, during the conduct of the study. CUB has patents pending (WO 2021/177822 A1 and WO 2023/022596 A1), and reports stock ownership: co-founder of Immagene BV and Signature Oncology. AH reports payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or educational events from BMS, MSD, and Novartis; payments for participation on a data safety monitoring board or advisory board with BMS, MSD, and Novartis. SD reports research funding from BMS, MSD, and Pierre Fabre to the institution; payment or honoraria to the institution for lectures, presentations, speakers bureaus, manuscript writing, or educational events from BMS and MSD; support for attending meetings or travel from BMS and MSD; trim 24 patent pending; participation on a data safety monitoring board or advisory board at BMS and MSD, with payments made to the institution; spouse being a Sanofi employee. AK reports consulting fees for an advisory role at Moderna and speaker honorarium from MSD. MSC reports honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from BMS, MSD and Novartis; having served on advisory boards for Amgen, BMS, Eisai, Ideaya, MSD, Nektar, Novartis, Oncosec, Pierre-Fabre, Qbiotics, Regeneron, Roche, Merck, and Sanofi. AM reports support of scientific and educational conference from Janssen. SS reports grants or contracts from Novartis/Advanced Accelerator Applications (AAA), AstraZeneca, MSD, Genentech, Senhwa, and Pfizer; funding goes to the institution to undertake investigator initiated clinical trial and translational research. SS reports participation on advisory boards for MSD, BMS, AstraZeneca—fees for attending go to research funds at the institution. SS is the chair of DSMB for two Novartis/AAA sponsored phase 3 trials—no fee accepted for chair role. SP reports payment or honoraria to her and her institution for lectures, presentations, speakers bureaus, manuscript writing, or educational events from BMS, MSD, and Novartis, and to her partner and her institution from Amgen and Phylogen; payments to her institution for participation on a data safety monitoring board or advisory board with MSD; leadership or fiduciary role in other board, society, committee, or advocacy group, paid or unpaid from GEM, EORTC melanoma group, and ASEICA. DS reports research grants to his institution from Amgen, Array/Pfizer, BMS, MSD, Novartis, and Roche; consulting fees paid personally from 4SC, Amgen, Array Biopharma, AstraZeneca, BMS, Daiichi Sankyo, Haystack, Immunocore, InFlarX, Innovent, Labcorp, Merck Serono, MSD, Nektar, Neracare, Novartis OncoSec, Pfizer, Philogen, Pierre Fabre, Replimune, Roche, Sandoz, Sanofi/Regeneron, and Sun Pharma; personal payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or educational events from BMS, MSD, Merck Serono, Novartis, Roche, Sanofi, and SunPharma; personal support for attending meetings or travel from BMS, Merck Serono, MSD, Novartis, Sanofi, and Pierre Fabre; personal payments for participation on a data safety monitoring board or advisory board at 4SC, Amgen, Array Biopharma, AstraZeneca, BMS, Daiichi Sankyo, Haystack, Immunocore, InFlarX, Merck Serono, MSD, Nektar, Neracare, Novartis, OncoSec, Pfizer, Philogen, Pierre Fabre, Replimune, Roche, Sandoz, Sanofi/Regeneron, and Sun Pharma; leadership or fiduciary role, paid or unpaid, at Dermatologic Cooperative Oncology Group, German Cancer Society, Hiege Stiftung, Deutsche Hautkrebsstiftung, Nationale Versorgungskonferenz Hautkrebs eV, and European Melanoma Registry; drug supply (nivolumab, ipilimumab) from BMS. RJ reports research funding from Iovance Biotherapeutics; honoraria for advisory role or speaker presentation from Merck, BMS, Medison, Pfizer, and Novartis. PR reports consulting fees paid to himself from MBS, MSD, Novartis, Pierre Fabre, Philogen, and Pfizer; honoraria for lectures, presentations, speakers bureau, manuscript writing, or educational events paid to himself from BMS, MSD, Novartis, Pfizer, Pierre Fabre, Sanofi, MSD, and AstraZeneca; speakers bureau Pfizer, Novartis, Pierre Fabre, MSD, and BMS paid to himself; support for attending meetings or travel from Orphan Europe and Pierre Fabre paid to himself; research funding to his institution from Novarits, Pfizer, Roche, and BMS. AJMvdE reports study grants from BMS and Idera; travel expenses from Ipsen; advisory board from BMS, MSD Oncology, Ipsen, Pierre Fabre, and Janssen Cilag BV. CC reports support for attending meetings or travel from Orphan Europe and Pierre Fabre. DG reports stock or stock options from Merck & Co. CK reports stock or stock options from Merck & Co and being an employee of Merck & Co. CR reports consulting fees (payments made to her) from BMS, Roche, Pierre Fabre, Novartis, Sanofi, Pfizer, MSD, Merck, Sunpharma, Ultimovacs, Regeneron, Egle, Philogen, Maat Pharma, and IO Biontech; payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or educational events (payments made to her) from Pierre Fabre, Sanofi, BMS, MSD, and Novartis; support for attending meetings or travel from Pierre Fabre; participation on a data safety monitoring board or advisory board (payments made to her) with BMS, Roche, Pierre Fabre, Novartis, Sanofi, Pfizer, MSD, Merck, Sunpharma, Ultimovacs, Regeneron, Egle, Philogen, and Maat Pharma. AMME reports honoraria for scientific advisory board or independent data monitoring committee functions from Agenus, BioInvent, BioNTech, Boehringer Ingelheim, Brenus, CatalYm, Ellipses, EikonTX, Eurobio, Galecto, IO Biotech, IQVIQ, ISA Pharmaceuticals, Merck & Co, MSD, Pfizer, Pierre Fabre, Scorpion TX, Sairopa, Sellas, SkylineDX, TigaTx, and Trained Therapeutics Discovery; honoraria from Acetra, GenOway, GSK, Moderna, and Trained Immunity Tx; equity from IO Biotech, Sairopa, and SkylineDx; being the Editor in Chief of the European Journal of Cancer. All other authors declare no competing interests., (Copyright © 2024 Elsevier Ltd. All rights reserved, including those for text and data mining, AI training, and similar technologies.)
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- 2024
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13. Baseline and on Treatment Biodistribution Variability of 18 F-FLT Uptake in Patients With Advanced Melanoma: Brief Communication.
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van der Hiel B, Aalbersberg EA, van den Eertwegh AJM, Fischer J, Boellaard R, de Vos FYFL, Boers-Sonderen MJ, Stokkel MPM, de Wit-van der Veen LJ, and Haanen JBAG
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- Humans, Tissue Distribution, Middle Aged, Male, Female, Aged, Adult, Neoplasm Staging, Biological Transport, Melanoma diagnostic imaging, Melanoma drug therapy, Melanoma metabolism, Positron Emission Tomography Computed Tomography, Dideoxynucleosides pharmacokinetics
- Abstract
Purpose: This prospective study evaluates the biodistribution of 18 F-FLT PET in patients with advanced melanoma before and after treatment with BRAF/MEK inhibitors., Patients and Methods: Eighteen BRAF-positive unresectable stage IIIc or IV melanoma patients referred for 18 F-FLT PET/CT before (BL) and during (D14) BRAF/MEK inhibition were included. 18 F-FLT accumulation in the liver, bone marrow, blood, and muscle was quantified., Results: Baseline interpatient 18 F-FLT uptake had a coefficient-of-variation between 17.5% and 21.5%. During treatment, liver uptake increased (SUV meanBL = 4.86 ± 0.98, SUV meanD14 = 6.31 ± 1.36, P < 0.001) and bone marrow uptake decreased (SUV meanBL = 7.67 ± 1.65, SUV meanD14 = 6.78 ± 1.19, P < 0.025). Both changes were unrelated to baseline metabolic tumor volume or tumor response., Conclusions: To assess 18 F-FLT PET, both liver and bone marrow uptake may be used as normal tissue references at baseline, but 18 F-FLT biodistribution significantly changes in longitudinal response studies when treated with BRAF/MEK inhibitors., Competing Interests: Conflicts of interest and sources of funding: A.J.M.v.d.E. received study grant from Sanofi, Roche, Bristol Myers Squibb, TEVA, and Idera; received travel expenses coverage from MSD Oncology, Roche, Pfizer, and Sanofi; received speaker honoraria from Bristol Myers Squibb and Novartis; and is part of the advisory board of Bristol Myers Squibb, MSD Oncology, Amgen, Roche, Novartis, Sanofi, Pfizer, Ipsen, and Merck, Pierre Fabre. E.K. has consultancy/advisory relationships with Bristol Myers Squibb, Novartis, Merck, Pierre Fabre, Lilly, and Bayer, all paid to institute, as well as received research grants not related to this paper from Bristol Myers Squibb, Delcath, Novartis, and Pierre Fabre. F.Y.F.L.d.V. received research grant from Foundation STOPBraintumors.org , Bristol Myers Squibb, Novartis, Servier, CureVac, and EORTC, all paid to institute. J.B.A.G.H. has advisory roles for Bristol Myers Squibb, CureVac, GSK, Ipsen, Iovance Biotherapeutics, Imcyse, Merck Serono, Molecular Partners, MSD, Novartis, Pfizer, Roche, Sanofi, and Third Rock Ventures; is a member of SAB of Achilles Tx, BioNTech, Gadeta, Immunocore, Instil Bio, PokeAcell, Scenic, T-Knife, and Neogene Tx, all paid to institute except Neogene Tx and Scenic; and received grant support from Amgen, Asher Bio, BioNTech, Bristol Myers Squibb, MSD, Novartis, and Sastra Cell Therapy, all paid to institute. The other authors declare no conflicts of interest. This work was supported by an unrestricted grant by Roche Medical B.V. The company has approved the design of the study and provided cobimetinib free of charge. The company has no role in collection, analysis, and interpretation of data or in writing the manuscript., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2024
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14. Long-Term Survival in Patients With Advanced Melanoma.
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van Not OJ, van den Eertwegh AJM, Jalving H, Bloem M, Haanen JB, van Rijn RS, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Boers-Sonderen MJ, de Groot J W B JW, Hospers GAP, Kapiteijn E, Leeneman B, D P, Stevense-den Boer M, van der Veldt AAM, Vreugdenhil G G, Wouters MWJM, Blokx WAM, and Suijkerbuijk KPM
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- Humans, Male, Female, Middle Aged, Aged, Netherlands epidemiology, Ipilimumab therapeutic use, Nivolumab therapeutic use, Skin Neoplasms drug therapy, Skin Neoplasms mortality, Skin Neoplasms pathology, Cohort Studies, Registries, Progression-Free Survival, Prospective Studies, Melanoma drug therapy, Melanoma mortality, Immune Checkpoint Inhibitors therapeutic use
- Abstract
Importance: Long-term survival data from clinical trials show that survival curves of patients with advanced melanoma treated with immune checkpoint inhibitors (ICIs) gradually reach a plateau, suggesting that patients have a chance of achieving long-term survival., Objective: To investigate long-term survival in patients with advanced melanoma treated with ICIs outside clinical trials., Design, Setting, and Participants: Cohort study using prospectively collected data from the nationwide Dutch Melanoma Treatment Registry, including patients in the Netherlands with advanced melanoma treated with first-line ICIs from 2012 to 2019. Data were analyzed from January to September 2023., Exposures: Patients were treated with first-line ipilimumab-nivolumab, antibodies that target programmed cell death (anti-PD-1), or ipilimumab., Main Outcomes and Measures: Progression-free survival (PFS) and melanoma-specific survival were analyzed, and a Cox proportional hazards model was used to investigate factors associated with PFS after reaching partial response (PR) or complete response (CR)., Results: A total of 2490 patients treated with first-line ICIs were included (median [IQR] age, 65.0 [55.3-73.0] years; 1561 male patients [62.7%]). Most patients had an Eastern Cooperative Oncology Group Performance Status of 1 or lower (2202 patients [88.5%]) and normal lactate dehydrogenase levels (1715 patients [68.9%]). PFS for all patients was 23.4% (95% CI, 21.7%-25.2%) after 3 years and 19.7% (95% CI, 18.0%-21.4%) after 5 years. Overall survival for all patients was 44.0% (95% CI, 42.1%-46.1%) after 3 years and 35.9% (95% CI, 33.9%-38.0%) after 5 years. Patients with metastases in 3 or more organ sites had a significantly higher hazard of progression after reaching PR or CR (adjusted hazard ratio, 1.37; 95% CI, 1.11-1.69)., Conclusions and Relevance: This cohort study of patients with advanced melanoma treated with ICIs in clinical practice showed that their survival reached a plateau, comparable with patients participating in clinical trials. These findings can be used in daily clinical practice to guide long-term surveillance strategies and inform both physicians and patients regarding long-term treatment outcomes.
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- 2024
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15. Baseline biomarkers of efficacy and on-treatment immune-profile changes associated with bempegaldesleukin plus nivolumab.
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Gogas H, Ravimohan S, Datta A, Chhibber A, Couselo EM, Diab A, Pereira C, Quéreux G, Sandhu S, Curti B, Khushalani NI, Taylor MH, Daniels GA, Spreafico A, Meniawy T, Van Den Eertwegh AJM, Sun Y, Arriaga Y, Zhou M, Long GV, and Lebbé C
- Abstract
In PIVOT IO 001 (NCT03635983), the combination of the investigational interleukin-2 agonist bempegaldesleukin (BEMPEG) with nivolumab (NIVO) had no added clinical benefit over NIVO monotherapy in unresectable/metastatic melanoma. Pre-defined baseline and on-treatment changes in selected biomarkers were analyzed to explore the potential mechanisms underlying the clinical observations. In each treatment arm, higher baseline tumor mutational burden or immune infiltration/inflammation was associated with improved efficacy compared with lower levels. On-treatment peripheral biomarker changes showed that BEMPEG + NIVO increased all immune cell subset counts interrogated, including regulatory T cells. This was followed by attenuation of the increase in CD8 + T cells, conventional CD4 + T cells, and systemic interferon gamma levels at later treatment cycles in the combination arm. Changes in tumor biomarkers were comparable between arms. These biomarker results help provide a better understanding of the mechanism of action of BEMPEG + NIVO and may help contextualize the clinical observations from PIVOT IO 001., (© 2024. The Author(s).)
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- 2024
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16. Safe Stop IPI-NIVO trial: early discontinuation of nivolumab upon achieving a complete or partial response in patients with irresectable stage III or metastatic melanoma treated with first-line ipilimumab-nivolumab - study protocol.
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Janssen JC, van Dijk B, de Joode K, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Boers-Sonderen MJ, van den Eertwegh AJM, de Groot JWB, Jalving M, de Jonge MJA, Joosse A, Kapiteijn E, Kamphuis-Huismans AM, Naipal KAT, Piersma D, Rikhof B, Westgeest HM, Vreugdenhil G, Oomen-de Hoop E, Mulder EEAP, and van der Veldt AAM
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- Female, Humans, Male, Immune Checkpoint Inhibitors adverse effects, Immune Checkpoint Inhibitors therapeutic use, Immune Checkpoint Inhibitors administration & dosage, Neoplasm Staging, Netherlands, Prospective Studies, Skin Neoplasms drug therapy, Skin Neoplasms pathology, Withholding Treatment, Multicenter Studies as Topic, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Antineoplastic Combined Chemotherapy Protocols adverse effects, Ipilimumab administration & dosage, Ipilimumab adverse effects, Ipilimumab therapeutic use, Melanoma drug therapy, Melanoma pathology, Nivolumab administration & dosage, Nivolumab adverse effects, Nivolumab therapeutic use
- Abstract
Background: Patients with irresectable stage III or metastatic melanoma presenting with poor prognostic factors are usually treated with a combination of immune checkpoint inhibitors (ICIs), consisting of ipilimumab and nivolumab. This combination therapy is associated with severe immune related adverse events (irAEs) in about 60% of patients. In current clinical practice, patients are usually treated with ICIs for up to two years or until disease progression or the occurrence of unacceptable AEs. The incidence of irAEs gradually increases with duration of treatment. While durable tumour responses have been observed after early discontinuation of treatment, no consensus has been reached on optimal treatment duration. The objective of the Safe Stop IPI-NIVO trial is to evaluate whether early discontinuation of ICIs is safe in patients with irresectable stage III or metastatic melanoma who are treated with combination therapy., Methods: The Safe Stop IPI-NIVO trial is a nationwide, multicentre, prospective, single-arm, interventional study in the Netherlands. A total of 80 patients with irresectable stage III or metastatic melanoma who are treated with combination therapy of ipilimumab-nivolumab and have a complete or partial response (CR/PR) according to RECIST v1.1 will be included to early discontinue maintenance therapy with anti-PD-1. The primary endpoint is the rate of ongoing response at 12 months after start of ICI. Secondary endpoints include ongoing response at 24 months, disease control at different time points, melanoma specific and overall survival, the incidence of irAEs and health-related quality of life., Discussion: From a medical, healthcare and economic perspective, overtreatment should be prevented and shorter treatment duration of ICIs is preferred. If early discontinuation of ICIs is safe for patients who are treated with the combination of ipilimumab-nivolumab, the treatment duration of nivolumab could be shortened in patients with a favourable tumour response., Trial Registration: ClinicalTrials.gov ID NCT05652673, registration date: 08-12-2022., (© 2024. The Author(s).)
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- 2024
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17. Multi-omic analysis identifies hypoalbuminemia as independent biomarker of poor outcome upon PD-1 blockade in metastatic melanoma.
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Leek LVM, Notohardjo JCL, de Joode K, Velker EL, Haanen JBAG, Suijkerbuijk KPM, Aarts MJB, de Groot JWB, Kapiteijn E, van den Berkmortel FWPJ, Westgeest HM, de Gruijl TD, Retel VP, Cuppen E, van der Veldt AAM, Labots M, Voest EE, van de Haar J, and van den Eertwegh AJM
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- Humans, Female, Male, Middle Aged, Aged, Prognosis, Programmed Cell Death 1 Receptor antagonists & inhibitors, Programmed Cell Death 1 Receptor metabolism, Adult, Neoplasm Metastasis, L-Lactate Dehydrogenase blood, L-Lactate Dehydrogenase metabolism, Aged, 80 and over, Multiomics, Melanoma drug therapy, Melanoma pathology, Melanoma metabolism, Hypoalbuminemia, Biomarkers, Tumor blood, Immune Checkpoint Inhibitors therapeutic use
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We evaluated the prognostic value of hypoalbuminemia in context of various biomarkers at baseline, including clinical, genomic, transcriptomic, and blood-based markers, in patients with metastatic melanoma treated with anti-PD-1 monotherapy or anti-PD-1/anti-CTLA-4 combination therapy (n = 178). An independent validation cohort (n = 79) was used to validate the performance of hypoalbuminemia compared to serum LDH (lactate dehydrogenase) levels. Pre-treatment hypoalbuminemia emerged as the strongest predictor of poor outcome for both OS (HR = 4.01, 95% CI 2.10-7.67, Cox P = 2.63e-05) and PFS (HR = 3.72, 95% CI 2.06-6.73, Cox P = 1.38e-05) in univariate analysis. In multivariate analysis, the association of hypoalbuminemia with PFS was independent of serum LDH, IFN-γ signature expression, TMB, age, ECOG PS, treatment line, treatment type (combination or monotherapy), brain and liver metastasis (HR = 2.76, 95% CI 1.24-6.13, Cox P = 0.0131). Our validation cohort confirmed the prognostic power of hypoalbuminemia for OS (HR = 1.98, 95% CI 1.16-3.38; Cox P = 0.0127) and was complementary to serum LDH in analyses for both OS (LDH-adjusted HR = 2.12, 95% CI 1.2-3.72, Cox P = 0.00925) and PFS (LDH-adjusted HR = 1.91, 95% CI 1.08-3.38, Cox P = 0.0261). In conclusion, pretreatment hypoalbuminemia was a powerful predictor of outcome in ICI in melanoma and showed remarkable complementarity to previously established biomarkers, including high LDH., (© 2024. The Author(s).)
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- 2024
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18. A prediction model for response to immune checkpoint inhibition in advanced melanoma.
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van Duin IAJ, Verheijden RJ, van Diest PJ, Blokx WAM, El-Sharouni MA, Verhoeff JJC, Leiner T, van den Eertwegh AJM, de Groot JWB, van Not OJ, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Haanen JBAG, Hospers GAP, Piersma D, van Rijn RS, van der Veldt AAM, Vreugdenhil G, Wouters MWJM, Stevense-den Boer MAM, Boers-Sonderen MJ, Kapiteijn E, Suijkerbuijk KPM, and Elias SG
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- Humans, Immune Checkpoint Inhibitors therapeutic use, Ipilimumab therapeutic use, Nivolumab therapeutic use, Retrospective Studies, Melanoma pathology, Skin Neoplasms pathology
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Predicting who will benefit from treatment with immune checkpoint inhibition (ICI) in patients with advanced melanoma is challenging. We developed a multivariable prediction model for response to ICI, using routinely available clinical data including primary melanoma characteristics. We used a population-based cohort of 3525 patients with advanced cutaneous melanoma treated with anti-PD-1-based therapy. Our prediction model for predicting response within 6 months after ICI initiation was internally validated with bootstrap resampling. Performance evaluation included calibration, discrimination and internal-external cross-validation. Included patients received anti-PD-1 monotherapy (n = 2366) or ipilimumab plus nivolumab (n = 1159) in any treatment line. The model included serum lactate dehydrogenase, World Health Organization performance score, type and line of ICI, disease stage and time to first distant recurrence-all at start of ICI-, and location and type of primary melanoma, the presence of satellites and/or in-transit metastases at primary diagnosis and sex. The over-optimism adjusted area under the receiver operating characteristic was 0.66 (95% CI: 0.64-0.66). The range of predicted response probabilities was 7%-81%. Based on these probabilities, patients were categorized into quartiles. Compared to the lowest response quartile, patients in the highest quartile had a significantly longer median progression-free survival (20.0 vs 2.8 months; P < .001) and median overall survival (62.0 vs 8.0 months; P < .001). Our prediction model, based on routinely available clinical variables and primary melanoma characteristics, predicts response to ICI in patients with advanced melanoma and discriminates well between treated patients with a very good and very poor prognosis., (© 2024 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2024
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19. BRAF/MEK inhibitor rechallenge in advanced melanoma patients.
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Van Not OJ, van den Eertwegh AJM, Haanen JB, van Rijn RS, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Boers-Sonderen MJ, de Groot JWWB, Hospers GAP, Kapiteijn E, Bloem M, Piersma D, Stevense-den Boer M, Verheijden RJ, van der Veldt AAM, Wouters MWJM, Blokx WAM, and Suijkerbuijk KPM
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- Humans, Mitogen-Activated Protein Kinase Kinases antagonists & inhibitors, Mutation, Protein Kinase Inhibitors therapeutic use, Proto-Oncogene Proteins B-raf antagonists & inhibitors, Retrospective Studies, Brain Neoplasms etiology, Brain Neoplasms pathology, Melanoma drug therapy, Melanoma pathology
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Background: Effectivity of BRAF(/MEK) inhibitor rechallenge has been described in prior studies. However, structured data are largely lacking., Methods: Data from all advanced melanoma patients treated with BRAFi(/MEKi) rechallenge were retrieved from the Dutch Melanoma Treatment Registry. The authors analyzed objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) for both first treatment and rechallenge. They performed a multivariable logistic regression and a multivariable Cox proportional hazards model to assess factors associated with response and survival., Results: The authors included 468 patients in the largest cohort to date who underwent at least two treatment episodes of BRAFi(/MEKi). Following rechallenge, ORR was 43%, median PFS was 4.6 months (95% confidence interval [CI], 4.1-5.2), and median OS was 8.2 months (95% CI, 7.2-9.4). Median PFS after rechallenge for patients who discontinued first BRAFi(/MEKi) treatment due to progression was 3.1 months (95% CI, 2.7-4.0) versus 5.2 months (95% CI, 4.5-5.9) for patients who discontinued treatment for other reasons. Discontinuing first treatment due to progression and lactate dehydrogenase (LDH) levels greater than two times the upper limit of normal were associated with lower odds of response and worse PFS and OS. Symptomatic brain metastases were associated with worse survival, whereas a longer treatment interval between first treatment and rechallenge was associated with better survival. Responding to the first BRAFi(/MEKi) treatment was not associated with response or survival., Conclusions: This study confirms that patients benefit from rechallenge. Elevated LDH levels, symptomatic brain metastases, and discontinuing first BRAFi(/MEKi) treatment due to progression are associated with less benefit from rechallenge. A prolonged treatment interval is associated with more benefit from rechallenge., (© 2024 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)
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- 2024
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20. Prognostic and predictive value of non-steroidal anti-inflammatory drugs in the EORTC 1325/KEYNOTE-054 phase III trial of pembrolizumab versus placebo in resected high-risk stage III melanoma.
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Kennedy OJ, Glassee N, Kicinski M, Blank CU, Long GV, Atkinson VG, Dalle S, Haydon AM, Meshcheryakov A, Khattak A, Carlino MS, Sandhu S, Larkin J, Puig S, Ascierto PA, Rutkowski P, Schadendorf D, Boers-Sonderen M, Giacomo AMD, van den Eertwegh AJM, Grob JJ, Gutzmer R, Jamal R, van Akkooi ACJ, Gandini S, Buhrer E, Suciu S, Robert C, Eggermont AMM, Mandala M, Lorigan P, and Valpione S
- Subjects
- Humans, Prognosis, Neoplasm Staging, Disease-Free Survival, Adjuvants, Immunologic therapeutic use, Pain, Anti-Inflammatory Agents, Non-Steroidal therapeutic use, Anti-Inflammatory Agents therapeutic use, Melanoma drug therapy, Melanoma surgery, Melanoma pathology, Skin Neoplasms drug therapy, Skin Neoplasms surgery, Skin Neoplasms pathology, Antibodies, Monoclonal, Humanized
- Abstract
Background: Pain is common in patients with cancer. The World Health Organisation recommends paracetamol or non-steroidal anti-inflammatory drugs (NSAIDs) for mild pain and combined with other agents for moderate/severe pain. This study estimated associations of NSAIDs with recurrence-free survival (RFS), distant metastasis-free survival (DMFS) and the incidence of immune-related adverse events (irAEs) in high-risk patients with resected melanoma in the EORTC 1325/KEYNOTE-054 phase III clinical trial., Patients and Methods: Patients with AJCC7 stage IIIA, IIIB or IIIC resected melanoma were randomized to receive 200 mg of adjuvant pembrolizumab (N = 514) or placebo (N = 505) 3-weekly for one year or until recurrence. As previously reported, pembrolizumab prolonged RFS and DMFS. NSAID use was defined as administration between 7 days pre-randomization and starting treatment. Multivariable Cox and Fine and Gray models were used to estimate hazard ratios (HRs) for associations of NSAIDs with RFS, DMFS and irAEs., Results: Of 1019 patients randomized, 59 and 44 patients in the pembrolizumab and placebo arms, respectively, used NSAIDs. NSAIDs were not associated with RFS (HR 0.91, 95% CI 0.58-1.43) or DMFS in the pembrolizumab (HR 1.03, 95% CI 0.65-1.66) or placebo arms (for RFS, HR 0.76, 95% CI 0.48-1.20; for DMFS, HR 0.80, 95% CI 0.49-1.31). NSAIDs were associated with the incidence of irAEs in the placebo arm (HR 3.06, 95% CI 1.45-6.45) but not in the pembrolizumab arm (HR 0.94, 95% CI 0.58-1.53)., Conclusion: NSAIDs were not associated with efficacy outcomes nor the risk of irAEs in patients with resected high-risk stage III melanoma receiving adjuvant pembrolizumab., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Oliver John Kennedy. None declared. Nina Glassee. Grants or contracts from any entity: MSD. Michal Kicinski. Grants or contracts from any entity: Bristol Myers Squibb (BMS), Merck Sharp & Dohme (MSD), Pierre Fabre. Christian Blank. Grants or contracts from any entity: BMS, Novartis, NanoString, 4SC. Consulting fees - consultant advisor for: BMS, MSD, Roche, Novartis, GSK, AZ, Pfizer, Lilly, GenMab, Pierre Fabre- Payments were made to my institution, Third Rock Venture - Payments were made to me. Stock or stock options: Immagene BV and Signature Oncology - Co-founder. Georgina V Long. Consultant advisor for Agenus, Amgen, Array Biopharma, AstraZeneca, Boehringer Ingelheim, BMS, Evaxion, Hexal AG (Sandoz Company), Highlight Therapeutics S.L., Innovent Biologics USA, MSD Australia, MSD, Novartis, OncoSec Australia, PHMR Ltd, Pierre Fabre, Provectus Australia, Qbiotics, Regeneron. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: BMS - Personal 1 h lecture of my own slides, Pierre Fabre, Personal 1 h lecture of my own slides. Victoria Atkinson. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: BMS, MSD, Novartis, Pierre Fabre- Speakers bureaus fees. Support for attending meetings and/or travel: BMS, Travel support. Participation on a Data Safety Monitoring Board or Advisory Board: BMS, MSD, Nektar, Novartis, Pierre Fabre, Q Biotics, Roche, Limbic - Advisory boards. Stéphane Dalle. Grants or contracts from any entity: BMS, MSD - My Institution. Support for attending meetings and/or travel: BMS, Pierre Fabre, MSD. Other financial or non-financial interests: Sanofi Pasteur - My wife is an employee of Sanofi Pasteur. Andrew M. Haydon. Payment or honoraria for lectures, presentations, speakers bureaus: BMS, MSD, Novartis. Participation to Advisory Board: BMS, Novartis, Pierre Fabre, MSD. Andrey Meshcheryakov. Grants or contracts from any entity: Sanofi, AstraZeneca, MSD - My institution, me. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Amgen, Bayer AG, BIOCAD, BMS, Eli Lilly, Merck, SERVIER, Takeda Pharmaceuticals, Eisai, AstraZeneca, Sanofi-Aventis - Honoraria for lectures, presentations, speakers bureaus. Support for attending meetings and/or travel: BIOCAD, SERVIER, MSD, Sanofi-Aventis, Merck - Attending meetings and/or travel. Participation on a Data Safety Monitoring Board or Advisory Board: Amgen, Bayer AG, BIOCAD, BMS, Eli Lilly, Merck, Servier, Takeda Pharmaceuticals, Eisai, AstraZeneca, Sanofi-Aventis - Advisory Board. Adnan Khattak. None declared. Matteo S. Carlino. Participation on Advisory Board for Amgen, BMS, Eisai, Ideaya, MSD, Nektar, Novartis, Oncosec, Pierre-Fabre, Qbiotics, Regeneron, Roche. Consulting fees: BMS, MSD, Novartis. Shahneen Sandhu. Grants or contracts from any entity: Advanced Accelerators Applications (a Novartis company), Amgen, MSD, Senwha, Genentech, AstraZeneca - Funding to the institution. Participation on an Advisory Board: AstraZeneca, BMS, MSD, Advanced Accelerators Applications (a Novartis company). - Funding to the institution. James Larkin. Grants or contracts from any entity: Achilles, BMS, MSD, Nektar, Novartis, Pfizer, Roche, Immunocore, Aveo, Pharmacyclics. Institutional research support: BMS, MSD, Novartis, Pfizer, Achilles Therapeutics, Roche, Nektar Therapeutics, Covance, Immunocore, Pharmacyclics, Aveo. Consulting fees from iOnctura, Apple Tree, Merck, BMS, Eisai, Debipharm, Incyte. Honorariums from Eisai, Novartis, Incyte, Merck, touchIME, touchEXPERTS, Pfizer, Royal College of Physicians, Cambridge Healthcare Research, Royal College of General Practitioners, VJOncology, Agence Unik, BMS. Speaker fee from Pierre Fabre, BMS, Ipsen, Roche, EUSA Pharma, Novartis, Aptitude, AstraZeneca, GSK, Eisai, Calithera, Ultimovacs, Seagen, Merck, eCancer, Inselgruppe, Pfizer, Goldman Sachs, MSD. Susana Puig. Grants or contracts from any entity: Almirall, ISDIN, La Roche Posay - To My Institution. Consulting fees: ISDIN, Almirall, La Roche Posay, MSD, Sanofi, Sun Pharma, Pfizer, Roche, Regeneron. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: ISDIN, La Roche Posay, Leo Pharma, Pfizer, Roche, Regeneron, BMS, Sun Pharma. Support for attending meetings and/or travel: Almirall. Participation on a Data Safety Monitoring Board or Advisory Board: Roche, Sanofi, Sun Pharma, Almirall, ISDIN, Pfizer, Novartis. Paolo A. Ascierto. Grants or contracts from any entity: BMS, Roche-Genentech, Pfizer/Array, Sanofi. Consulting fees: BMS, Roche-Genentech, MSD, Novartis, Merck Serono, Pierre-Fabre, Sun Pharma, Sanofi, Idera, Sandoz, 4SC, Italfarmaco, Nektar, Pfizer/Array, Lunaphore, Medicenna, Bio-Al Health, ValoTx, Replimmune, Bayer. Support for attending meetings and/or travel: Pfizer, Bio-Al Health, Replimmune. Participation on a Data Safety Monitoring Board or Advisory Board: BMS, Roche-Genentech, MSD, Novartis, AstraZeneca, Immunocore, Boehringer-Ingelheim, Eisai, Regeneron, Daiichi Sankyo, Oncosec, Nouscom, Seagen, iTeos. Piotr Rutkowski. Consulting fees: Amgen, Blueprint Medicine, BMS, Merck, MSD, Novartis, Philogen, Pierre Fabre, Sanofi - Advisory Role - Personal fees. Payment or honoraria for lectures: BMS, Merck, MSD, Novartis, Pierre Fabre, Sanofi Pasteur. Dirk Schadendorf. Grants or contracts from any entity: Amgen, Array BioPharma, Novartis. Consulting fees: 4SC, Angenus, Astra Zeneca, BMS, Daiichi Sankyo, EMD Serano, Roche, Genentech, InFlarX, Merck, Nektar, Novartis, Pfizer, Philogen, Pierre Fabre, Regeneron, Sandoz, Sanofi, UltimoVacs. Participation on a Data Safety Monitoring Board: Immunocore. Honoraria for lectures: Amgen, Novartis. Support for attending meetings and/or travel: Amgen, Novartis. Marye Boers-Sonderen. None declared. Anna Maria di Giacomo. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: BMS, MSD, Pierre Fabre, Sanofi. Support for attending meetings and/or travel: BMS, Pierre Fabre. Participation on a Data Safety Monitoring Board or Advisory Board: BMS, MSD, Nektar, Pierre Fabre, Sanofi, GSK, Novartis. Alfonsus J.M. van den Eertwegh. Grants or contracts from any entity: Roche, Sanofi, Bristol Myers Squibb, Idera. Consulting fees: BMS. Support for attending meetings and/or travel: MSD Oncology, Roche, Pfizer, Sanofi, Pierre Fabre. Participation on a Data Safety Monitoring Board or Advisory Board: BMS, MSD Oncology, Amgen, Roche, Novartis, Sanofi, Pfizer, Ipsen, Merck, Pierre Fabre. Jean-Jacques Grob. Payment for participation to an advisory board: Amgen, BMS, Hoffmann-La Roche. Consulting fees: MSD, Novartis, Philogen, Pierre Fabre, Sanofi Pasteur. Ralf Gutzmer. Grants or contracts from any entity: Pfizer, Novartis, Johnson & Johnson, Amgen, Merck Serono, Sun Pharma Industries, Sanofi. Consulting fees: BMS, MSD, Roche, Genentech, Novartis, Merck Serono, Almirall, Amgen, Sun Pharma Industries, Pierre Fabre, Sanofi, Regeneron Pharmaceuticals, Bayer AG, Immunocore. Support for attending meetings and/or travel: Bristol Myers Squibb, Roche, Merck Serono, Pierre Fabre, Sun Pharma Industries. Rahima Jamal. Grants or contracts from any entity: MSD, BMS, Iovance Biotherapeutics. Consulting fees: BMS. Alexander C.J. van Akkooi. Grants or contracts from any entity: Amgen, Merck, Pfizer. Participation on a Data Safety Monitoring Board or Advisory Board: Amgen, BMS, Novartis, MSD, Merck, Pfizer, Pierre Fabre, Provectus, Sanofi, Sirius Medical, 4SC. Sara Gandini. None declared. Emanuel Buhrer. None declared. Stefan Suciu. Grants or contracts from any entity: MSD. Caroline Robert. Consulting fees: AstraZeneca, BMS, MSD, Merck, Roche, Novartis, Pfizer, Pierre Fabre, Sanofi. Co-founder: Ribonexus. Alexander Eggermont. Consulting fees: Agenus, BioInvent, BMS, Brenus, CatalYm, Ellipses, Galecto, IO Biotech, IQVIA, ISA Pharmaceuticals, Merck, MSD, Pierre Fabre, Sairopa, Sellas, SkylineDX, TigeTx, Trained Immunity TX. Participation on a Data Safety Monitoring Board: BioNTech, GSK, and Pfizer. Lectures: BMS, MSD. Leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid: European Academy Cancer Sciences, German Cancer Aid. Stock or stock options: IO Biotech, SkylineDx and SaiRoPA. Mario Mandala. Participation to Advisory Board: BMS, MSD, Novartis, Pierre Fabre Pharmaceuticals. Paul Lorigan. Grants or contracts from any entity: BMS, Pierre Fabre. Consulting fees: Amgen, BMS, MSD, Nektar, Novartis, Pierre Fabre. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Amgen, BMS, Merck, MSD, Nektar, NeraCare GmbH, Novartis, Oncology Education, Pierre Fabre, Roche. Support for attending meetings and/or travel: BMS, MSD. Sara Valpione. Receipient of an Institutional Amgen Research Grant., (Copyright © 2024. Published by Elsevier Ltd.)
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- 2024
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21. Improving survival in advanced melanoma patients: a trend analysis from 2013 to 2021.
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van Not OJ, van den Eertwegh AJM, Haanen JB, Blank CU, Aarts MJB, van Breeschoten J, van den Berkmortel FWPJ, de Groot JB, Hospers GAP, Ismail RK, Kapiteijn E, Bloem M, De Meza MM, Piersma D, van Rijn RS, Stevense-den Boer MAM, van der Veldt AAM, Vreugdenhil G, Boers-Sonderen MJ, Blokx WAM, Wouters MWJM, and Suijkerbuijk KPM
- Abstract
Background: The prognosis of advanced melanoma patients has significantly improved over the years. We aimed to evaluate the survival per year of diagnosis., Methods: All systemically treated patients diagnosed with advanced melanoma from 2013 to 2021 were included from the Dutch Melanoma Treatment Registry. Baseline characteristics and overall survival (OS) were compared between the different years of diagnosis. A multivariable Cox proportional hazards model was used to estimate the association between year of diagnosis and OS., Findings: For this cohort study, we included 6260 systemically treated advanced melanoma patients. At baseline, there was an increase over the years in age, the percentage of patients with an ECOG PS ≥ 2, with brain metastases, and a synchronous diagnosis of primary and unresectable melanoma. Median OS increased from 11.2 months (95% CI 10.0-12.4) for patients diagnosed in 2013 to 32.0 months (95% CI 26.6-36.7) for patients diagnosed in 2019. Median OS was remarkably lower for patients diagnosed in 2020 (26.6 months; 95% CI 23.9-35.1) and 2021 (24.0 months; 95% CI 20.4-NR). Patients diagnosed in 2020 and 2021 had a higher hazard of death compared to patients diagnosed in 2019, although this was not significant. The multivariable Cox regression showed a lower hazard of death for the years of diagnosis after 2013. In contrast, patients diagnosed in 2020 and 2021 had a higher hazard of death compared to patients diagnosed in 2019., Interpretation: After a continuous survival improvement for advanced melanoma patients between 2013 and 2019, outcomes of patients diagnosed in 2020 and 2021 seem poorer. This trend of decreased survival remained after correcting for known prognostic factors and previous neoadjuvant or adjuvant treatment, suggesting that it is explained by unmeasured factors, which-considering the timing-could be COVID-19-related., Funding: For the Dutch Melanoma Treatment Registry (DMTR), the Dutch Institute for Clinical Auditing foundation received a start-up grant from governmental organization The Netherlands Organization for Health Research and Development (ZonMW, project number 836002002). The DMTR is structurally funded by Bristol-Myers Squibb, Merck Sharpe & Dohme, Novartis, and Roche Pharma. Roche Pharma stopped funding in 2019, and Pierre Fabre started funding the DMTR in 2019. For this work, no funding was granted., Competing Interests: AvdE has advisory relationships with Amgen, Bristol Myers Squibb, Roche, Novartis, MSD, Pierre Fabre, Sanofi, Pfizer, Ipsen, Merck and has received research study grants not related to this paper from Sanofi, Bristol Myers Squibb, Idera and TEVA and has received travel expenses from MSD Oncology, Roche, Pfizer, Pierre Fabre, and Sanofi. JH has advisory relationships with AstraZeneca, Achilles Therapeutics, BioNTech, BMS, CureVac, Iovance Bio, Eisai, Instil Bio, Imcyse, MSD, Neogene Therapeutics, Novartis, Roche, Sanofi, Sastra Cell Therapy, TRV, and T-Knife. And has received research grants not related to this paper from Asher Bio, Amgen, Bristol Myers Squibb, BioNTech, Novartis, and Sastra Cell Therapy. All grants were paid to the institutions. MA has advisory board/consultancy honoraria from Amgen, Bristol Myers Squibb, Novartis, MSD-Merck, Merck-Pfizer, Pierre Fabre, Sanofi, Astellas, Bayer. She received travel expenses from Astella, BMS, Janssen, Pfizer, and Sanofi and a research grant from Merck-Pfizer. Not related to current work and paid to institute. GH consultancy/advisory relationships with Amgen, Bristol Myers Squibb, Roche, MSD, Pfizer, Novartis, Sanofi, Pierre Fabre and has received research grants not related to this paper from Bristol Myers Squibb and Seerave. All payments were paid to the institution. RI has no declarations of interest for this research, but is employed at MSD since January 2022. DP has advisory relationships/consultancy honororia with Pierre Fabre and Novartis and received travel expenses from Pierre Fabre. AvdV has consultancy relationships with Bristol Myers Squibb, MSD, Roche, Novartis, Pierre Fabre, Pfizer, Sanofi, Ipsen, Eisai all paid to the institute. KS has consulting/advisory relationship with Abbvie, Pierre Fabre, and Sairopa. She received honoraria received from Novartis, Roche, Merck Sharp and Dome and research funding not related to this paper from Genmab, TigaTx, Bristol Myers Squibb, and Philips. All paid to institution. All remaining authors have declared no conflicts of interest., (© 2024 The Author(s).)
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- 2024
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22. The Predictive Value of FDG PET/CT for Determining Progression-Free Survival in Advanced Stage III-IV BRAF -Mutated Melanoma Patients Treated With Targeted Therapy-What Can Be Learned From Progression?
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van der Hiel B, Aalbersberg EA, van den Eertwegh AJM, de Wit-van der Veen LJ, Stokkel MPM, Lopez-Yurda M, Boellaard R, Kapiteijn EW, Hospers GAP, Aarts MJB, de Vos FYFL, Boers-Sonderen MJ, van der Veldt AAM, de Groot JWB, and Haanen JBAG
- Subjects
- Humans, Positron Emission Tomography Computed Tomography, Fluorodeoxyglucose F18, Proto-Oncogene Proteins B-raf genetics, Progression-Free Survival, Prospective Studies, Protein Kinase Inhibitors pharmacology, Protein Kinase Inhibitors therapeutic use, Melanoma diagnostic imaging, Melanoma drug therapy, Melanoma genetics, Skin Neoplasms pathology
- Abstract
Purpose: The aims of this study were to investigate whether (early) PERCIST response monitoring with 18 F-FDG PET/CT is predictive for progression-free survival (PFS) in unresectable stage III or IV melanoma patients treated with BRAF/MEK inhibitor (MEKi) and to define dissemination patterns at progression with a lesion-based evaluation in direct comparison to baseline to improve our understanding of 18 F-FDG PET/CT during BRAF/MEKi., Patients and Methods: This prospective multicenter single-arm study included 70 patients with unresectable stage III/IV BRAF -mutated melanoma who underwent contrast-enhanced CT and 18 F-FDG PET/CT at baseline and 2 and 7 weeks during treatment with vemurafenib plus cobimetinib and at progression if possible. Tumor response assessment was done with RECIST1.1 and PERCIST. Follow-up PET/CT scans were visually compared with baseline to assess dissemination patterns., Results: Using RECIST1.1, PFS was not significantly different between the response groups ( P = 0.26). At 2 weeks, PERCIST median PFS was 15.7 months for patients with complete metabolic response (CMR) versus 8.3 months for non-CMR ( P = 0.035). The hazards ratio (HR) for progression/death in non-CMR versus CMR was 1.99 (95% confidence interval [CI], 1.03-3.84; P = 0.040) and 1.77 (95% CI, 0.91-3.43; P = 0.0935) when adjusting for lactate dehydrogenase (LDH). At 7 weeks, median PFS for PERCIST CMR was 16.7 months versus 8.5 months for non-CMR ( P = 0.0003). The HR for progression/death in the non-CMR group was significantly increased (HR, 2.94; 95% CI, 1.60-5.40; P = 0.0005), even when adjusting for LDH (HR, 2.65; 95% CI, 1.43-4.91; P = 0.0020). At week 7, 18 F-FDG PET/CT was false-positive in all 4 (6%) patients with new FDG-avid lesions but CMR of known metastases. When 18 F-FDG PET/CT was performed at progressive disease, 18/22 (82%) patients had progression of known metastases with or without new 18 F-FDG-avid lesions., Conclusions: This study shows that PERCIST response assessment at week 7 is predictive for PFS, regardless of LDH. At 2 weeks, patients with CMR have longer PFS than patients with non-CMR, but different PET parameters should be investigated to further evaluate the added value of early 18 F-FDG PET/CT. Disease progression on PET/CT is predominated by progression of known metastases, and new 18 F-FDG-avid lesions during BRAF/MEKi are not automatically a sign of recurrent disease., Competing Interests: Conflicts of interest and sources of funding: The REPOSIT study is supported by an unrestricted grant by Roche Medical B.V. The company has approved the design of the study and provided cobimetinib free of charge. The company has no role in collection, analysis, and interpretation of data or in writing the article. A.J.M.v.d.E. received study grant from Sanofi, Roche, Bristol Myers Squibb, TEVA, and Idera; received travel expenses coverage from MSD Oncology, Roche, Pfizer, and Sanofi; received speaker honoraria from Bristol Myers Squibb and Novartis; and is part of the advisory board of Bristol Myers Squibb, MSD Oncology, Amgen, Roche, Novartis, Sanofi, Pfizer, Ipsen, Merck, and Pierre Fabre. E.W.K. has consultancy/advisory relationships with Bristol Myers Squibb, Novartis, Merck, Pierre Fabre, Lilly, and Bayer, all paid to the institute; and received research grants not related to this article from Bristol Myers Squibb, Delcath, Novartis, and Pierre Fabre. G.A.P.H. has consultancy/advisory relationships with Amgen, Bristol Myers Squibb, Roche, MSD, Pfizer, Novartis, Sanofi, and Pierre Fabre, all paid to the institute; and received research grants from Bristol Myers Squibb and Seerave, all paid to the institute. M.J.B.A. has advisory board/consultancy honoraria from Amgen, Bristol Myers Squibb, Novartis, MSD-Merck, Merck-Pfizer, Pierre Fabre, Sanofi, Astellas, and Bayer, and research grants from Merck-Pfizer, all paid to the institute and not related to current work. F.Y.F.L.d.V. received research grant from Foundation STOPBraintumors.org , Bristol Myers Squibb, Novartis, Servier, CureVac, and EORTC, all paid to the institute. A.A.M.v.d.V. has consultancy roles (all paid to the institute) for Bristol Myers Squibb, MSD, Roche, Sanofi, Novartis, Pierre Fabre, Merck, Ipsen, Eisai, and Pfizer, all paid to the institute. J.B.A.G.H. has advisory roles for Bristol Myers Squibb, CureVac, GSK, Ipsen, Iovance Biotherapeutics, Imcyse, Merck Serono, Molecular Partners, MSD, Novartis, Pfizer, Roche, Sanofi, and Third Rock Ventures; is a member of SAB of Achilles Tx, BioNTech, Gadeta, Immunocore, Instil Bio, PokeAcell, Scenic, T-Knife, and Neogene Tx, all paid to the institute except Neogene Tx and Scenic; and received grant support from Amgen, Asher Bio, BioNTech, Bristol Myers Squibb, MSD, Novartis, and Sastra Cell Therapy, all paid to the institute. The other authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2024
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23. Impact of Prior Cytoreductive Nephrectomy on Efficacy in Patients with Synchronous Metastatic Renal Cell Carcinoma Treated with Avelumab plus Axitinib or Sunitinib: Post Hoc Analysis from the JAVELIN Renal 101 Phase 3 Trial.
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Grimm MO, Oya M, Choueiri TK, Motzer RJ, Schmidinger M, Quinn DI, Gravis-Mescam G, Verzoni E, Van den Eertwegh AJM, di Pietro A, Mariani M, Wang J, Thomaidou D, and Albiges L
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- Humans, Axitinib therapeutic use, Cytoreduction Surgical Procedures methods, Kidney pathology, Nephrectomy methods, Prospective Studies, Sunitinib therapeutic use, Carcinoma, Renal Cell drug therapy, Carcinoma, Renal Cell surgery, Carcinoma, Renal Cell pathology, Kidney Neoplasms drug therapy, Kidney Neoplasms surgery
- Abstract
Data on the effects of prior cytoreductive nephrectomy (CN) in patients with renal cell carcinoma (RCC) with synchronous metastases (M1 disease) before immune checkpoint inhibitor (ICI) treatment are limited. In this post hoc analysis of treatment-naive patients with advanced RCC from the phase 3 JAVELIN Renal 101 trial, we assessed efficacy outcomes in the avelumab + axitinib and sunitinib arms in patients who were initially diagnosed with M1 disease (n = 412) grouped by prior CN (yes vs no). Progression-free survival (PFS) and overall survival (OS) were analyzed using multivariable Cox regression, and objective response rates (ORRs) were analyzed using logistic regression. After adjusting for imbalances in baseline variables, the hazard ratio (HR) for PFS in the prior CN versus no prior CN subgroup was 0.79 (95% confidence interval [CI] 0.53-1.16) in the avelumab + axitinib arm, and 1.15 (95% CI 0.77-1.70) in the sunitinib arm. The corresponding HRs for OS were 0.59 (95% CI 0.38-0.93) and 0.86 (95% CI, 0.55-1.34), and the odds ratios for ORR were 2.67 (95% CI 1.32-5.41) and 2.02 (95% CI 0.82-4.94), respectively. Prospective studies of the potential benefits of CN and its appropriate timing in patients receiving first-line treatment with ICI-containing combinations are warranted. PATIENT SUMMARY: This study looked at patients with kidney cancer whose disease had already spread outside the kidneys when it was first detected. We found that patients whose kidney had been removed before starting treatment with avelumab + axitinib had better outcomes than those whose kidney had not been removed. For patients treated with sunitinib, the results were more similar between the groups with and without prior kidney removal. However, statistical tests did not find any significant differences. The JAVELIN Renal 101 trial is registered on ClinicalTrials.gov as NCT02684006., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)
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- 2024
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24. Seasonal variation of anti-PD-1 outcome in melanoma-Results from a Dutch patient cohort.
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Borgers JSW, Burgers FH, Schina A, Van Not OJ, van den Eertwegh AJM, Blank CU, Aarts MJB, van den Berkmortel FWPJ, de Groot JWB, Hospers GAP, Kapiteijn E, Piersma D, van Rijn RS, Boer AMS, van der Veldt AAM, Vreugdenhil G, Boers-Sonderen MJ, Wouters MWJM, Suijkerbuijk KPM, van Thienen JV, and Haanen JBAG
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- Humans, Seasons, Survival Rate, Retrospective Studies, Melanoma genetics, Melanoma therapy
- Abstract
Despite the improved survival rates of patients with advanced stage melanoma since the introduction of ICIs, many patients do not have (long-term) benefit from these treatments. There is evidence that the exposome, an accumulation of host-extrinsic factors including environmental influences, could impact ICI response. Recently, a survival benefit was observed in patients with BRAF wild-type melanoma living in Denmark who initiated immunotherapy in summer as compared to winter. As the Netherlands lies in close geographical proximity to Denmark and has comparable seasonal differences, a Dutch validation cohort was established using data from our nationwide melanoma registry. In this study, we did not observe a similar seasonal difference in overall survival and are therefore unable to confirm the Danish findings. Validation of either the Dutch or Danish findings in (combined) patient cohorts from other countries would be necessary to determine whether this host-extrinsic factor influences the response to ICI-treatment., (© 2023 The Authors. Pigment Cell & Melanoma Research published by John Wiley & Sons Ltd.)
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- 2024
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25. Prognostic and predictive value of metformin in the European Organisation for Research and Treatment of Cancer 1325/KEYNOTE-054 phase III trial of pembrolizumab versus placebo in resected high-risk stage III melanoma.
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Kennedy OJ, Kicinski M, Valpione S, Gandini S, Suciu S, Blank CU, Long GV, Atkinson VG, Dalle S, Haydon AM, Meshcheryakov A, Khattak A, Carlino MS, Sandhu S, Larkin J, Puig S, Ascierto PA, Rutkowski P, Schadendorf D, Boers-Sonderen M, Di Giacomo AM, van den Eertwegh AJM, Grob JJ, Gutzmer R, Jamal R, van Akkooi ACJ, Robert C, Eggermont AMM, Lorigan P, and Mandala M
- Subjects
- Humans, Prognosis, Proto-Oncogene Proteins B-raf genetics, Neoplasm Staging, Melanoma, Cutaneous Malignant, Melanoma drug therapy, Melanoma genetics, Melanoma surgery, Skin Neoplasms drug therapy, Skin Neoplasms genetics, Skin Neoplasms surgery
- Abstract
Background: Metformin is a commonly prescribed and well-tolerated medication. In laboratory studies, metformin suppresses BRAF wild-type melanoma cells but accelerates the growth of BRAF-mutated cells. This study investigated the prognostic and predictive value of metformin, including with respect to BRAF mutation status, in the European Organisation for Research and Treatment of Cancer 1325/KEYNOTE-054 randomised controlled trial., Methods: Patients with resected high-risk stage IIIA, IIIB, or IIIC melanoma received 200 mg of pembrolizumab (n = 514) or placebo (n = 505) every 3 weeks for twelve months. Pembrolizumab prolonged recurrence-free survival (RFS) and distant metastasis-free survival (DMFS) at approximately 42 months median follow-up (Eggermont et al., TLO, 2021). Multivariable Cox regression was used to estimate associations of metformin with RFS and DMFS. Interaction terms were used to model effect modification by treatment and BRAF mutation., Results: Fifty-four patients (0.5%) used metformin at baseline. Metformin was not significantly associated with RFS (hazard ratio [HR] 0.87, 95% confidence interval [CI] 0.52-1.45) and DMFS (HR 0.82, 95% CI 0.47-1.44). The interaction between metformin and the treatment arm was not significant for either RFS (p = 0.92) or DMFS (p = 0.93). Among patients with mutated BRAF, the association of metformin with RFS (HR 0.70, 95% CI 0.37-1.33) was greater in magnitude though not significantly different to those without mutated BRAF (HR 0.98, 95% CI 0.56-1.69)., Conclusions: There was no significant impact of metformin use on pembrolizumab efficacy in resected high-risk stage III melanoma. However, larger studies or pooled analyses are needed, particularly to explore a possible effect of metformin in BRAF-mutated melanoma., Competing Interests: Declaration of Competing Interest Oliver John Kennedy. None declared. Michal Kicinski. Grants or contracts from any entity: BMS, MSD, Pierre Fabre. Sara Valpione None declared. Sara Gandini None declared. Stefan Suciu. Grants or contracts from any entity: MSD. Christian Blank. Grants or contracts from any entity: BMS, Novartis, NanoString, 4SC. Consulting fees - consultant advisor for BMS, MSD, Roche, Novartis, GSK, AZ, Pfizer, Lilly, GenMab, Pierre Fabre- Payments were made to my institution, Third Rock Venture - Payments were made to me. Stock or stock options: Immagene BV and Signature Oncology - Co-founder. Georgina V Long. Consultant advisor for Agenus, Amgen, Array Biopharma, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Evaxion, Hexal AG (Sandoz Company), Highlight Therapeutics S.L., Innovent Biologics USA, Merck Sharpe & Dohme (Australia), Merck Sharpe & Dohme, Novartis, OncoSec Australia, PHMR Ltd, Pierre Fabre, Provectus Australia, Qbiotics, Regeneron. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Bristol Myers Squibb - Personal 1 h lecture of my own slides, Pierre Fabre, Personal 1 h lecture of my own slides. Victoria Atkinson. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Bristol Myers Squibb, MSD, Novartis, Pierre Fabre- Speakers bureaus fees. Support for attending meetings and/or travel: BMS, Travel support. Participation on a Data Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, MSD, Nektar, Novartis, Pierre Fabre, Q Biotics, Roche, Limbic - Advisory boards. Stephane Dalle. Grants or contracts from any entity: Bristol Myers Squibb, Merck Sharp & Dohme - My Institution. Support for attending meetings and/or travel: Bristol Myers Squibb, Pierre Fabre, Merck Sharp &. Dohme. Other financial or non-financial interests: Sanofi Pasteur - My wife is an employee of Sanofi Pasteur. Andrew M. Haydon. Payment or honoraria for lectures, presentations, speakers bureaus: BMS, Merck Sharp & Dohme Novartis. Participation to Advisory Board: BMS, Novartis, Pierre Fabre, Merck Sharp & Dohme. Andrey Meshcheryakov. Grants or contracts from any entity: Sanofi, AstraZeneca, Merck Sharp & Dohme - My institution, me. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or. educational events: Amgen, Bayer AG, BIOCAD, Bristol Myers Squibb, Eli Lilly, Merck, SERVIER, Takeda Pharmaceuticals, Eisai, AstraZeneca, Sanofi-Aventis - Honoraria for lectures, presentations, speakers bureaus. Support for attending meetings and/or travel: BIOCAD, SERVIER, Merck Sharp & Dohme, Sanofi- Aventis, Merck - Attending meetings and/or travel. Participation on a Data Safety Monitoring Board or Advisory Board: Amgen, Bayer AG, BIOCAD, Bristol Myers Squibb, Eli Lilly, Merck, Servier, Takeda Pharmaceuticals, Eisai, AstraZeneca, Sanofi-Aventis. - Advisory Board. Adnan Khattak None declared. Matteo S. Carlino. Participation on Advisory Board for Amgen, Bristol-Myers Squibb, Eisai, Ideaya, Merck Sharp and Dohme, Nektar, Novartis, Oncosec, Pierre-Fabre, Qbiotics, Regeneron, Roche. Consulting fees: Bristol Myer Squibb, Merck Sharp & Dohme, Novartis. Shahneen Sandhu. Grants or contracts from any entity: Advanced Accelerators Applications (a Novartis company), Amgen, Merck Sharp & Dohme, Senwha, Genentech, AstraZeneca - Funding to the institution. Participation on an Advisory Board: AstraZeneca, Bristol Myers Squibb, Merck Sharp & Dohme, Advanced Accelerators Applications (a Novartis company). - Funding to the institution. James Larkin. Grants or contracts from any entity: Achilles, BMS, MSD, Nektar, Novartis, Pfizer, Roche, Immunocore, Aveo, Pharmacyclics. Institutional research support: BMS, MSD, Novartis, Pfizer, Achilles Therapeutics, Roche, Nektar Therapeutics, Covance, Immunocore, Pharmacyclics, Aveo. Consulting fees from iOnctura, Apple Tree, Merck, BMS, Eisai, Debipharm, Incyte. Honorariums from Eisai, Novartis, Incyte, Merck, touchIME, touchEXPERTS, Pfizer, Royal College of Physicians, Cambridge Healthcare Research, Royal College of General Practitioners, VJOncology, Agence Unik, BMS. Speaker fee from Pierre Fabre, BMS, Ipsen, Roche, EUSA Pharma, Novartis, Aptitude, AstraZeneca, GSK, Eisai, Calithera, Ultimovacs, Seagen, Merck, eCancer, Inselgruppe, Pfizer, Goldman Sachs, MSD. Susana Puig. Grants or contracts from any entity: Almirall, ISDIN, La Roche Posay - To My Institution. Consulting fees: ISDIN, Almirall, La Roche Posay, MSD, Sanofi, Sun Pharma, Pfizer, Roche, Regeneron. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: ISDIN, La Roche Posay, Leo Pharma, Pfizer, Roche, Regeneron, BMS, Sun Pharma. Support for attending meetings and/or travel: Almirall. Participation on a Data Safety Monitoring Board or Advisory Board: Roche, Sanofi, Sun Pharma, Almirall, ISDIN, Pfizer, Novartis. Paolo A. Ascierto. Grants or contracts from any entity: Bristol Myers Squibb, Roche-Genentech, Pfizer/Array, Sanofi. Consulting fees: Bristol Myers Squibb, Roche-Genentech, Merck Sharp & Dohme, Novartis, Merck Serono, Pierre-Fabre, Sun Pharma, Sanofi, Idera, Sandoz, 4SC, Italfarmaco, Nektar, Pfizer/Array, Lunaphore, Medicenna, Bio-Al Health, ValoTx, Replimmune, Bayer. Support for attending meetings and/or travel: Pfizer, Bio-Al Health, Replimmune. Participation on a Data Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, Roche- Genentech, Merck Sharp & Dohme, Novartis, AstraZeneca, Immunocore, Boehringer-Ingelheim, Eisai, Regeneron, Daiichi Sankyo, Oncosec, Nouscom, Seagen, iTeos. Piotr Rutkowski. Consulting fees: Amgen, Blueprint Medicine, Bristol Myers Squibb, Merck, MSD, Novartis, Philogen, Pierre Fabre, Sanofi - Advisory Role - Personal fees. Payment or honoraria for lectures: Bristol Myers Squibb, Merck, MSD, Novartis, Pierre Fabre, Sanofi Pasteur. Dirk Schadendorf. Grants or contracts from any entity: Amgen, Array BioPharma, Novartis. Consulting fees: 4SC, Angenus, Astra Zeneca, Bristol Myers Squibb, Daiichi Sankyo, EMD Serano, Roche, Genentech, InFlarX, Merck, Nektar, Novartis, Pfizer, Philogen, Pierre Fabre, Regeneron, Sandoz, Sanofi, UltimoVacs. Participation on a Data Safety Monitoring Board: Immunocore. Honoraria for lectures: Amgen, Novartis. Support for attending meetings and/or travel: Amgen, Novartis. Marye Boers-Sonderen. None declared. Anna Maria di Giacomo. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: BMS, MSD, Pierre Fabre, Sanofi. Support for attending meetings and/or travel: BMS, Pierre Fabre. Participation on a Data Safety Monitoring Board or Advisory Board: BMS, MSD, Nektar, Pierre Fabre, Sanofi, GSK, Novartis. Alfonsus J.M. van den Eertwegh. Grants or contracts from any entity: Roche, Sanofi, Bristol Myers Squibb, Idera Consulting fees: Bristol Myers Squibb. Support for attending meetings and/or travel: MSD Oncology, Roche, Pfizer, Sanofi, Pierre Fabre. Participation on a Data Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, MSD Oncology, Amgen, Roche, Novartis, Sanofi, Pfizer, Ipsen, Merck, Pierre Fabre. Jean-Jacques Grob. Payment for participation to an advisory board: Amgen, Bristol Myers Squibb, Hoffmann-La Roche. Consulting fees: MSD, Novartis, Philogen, Pierre Fabre, Sanofi Pasteur. Ralf Gutzmer. Grants or contracts from any entity: Pfizer, Novartis, Johnson & Johnson, Amgen, Merck Serono, Sun Pharma Industries, Sanofi. Consulting fees: Bristol Myers Squibb, Merck Sharp & Dohme, Roche, Genentech, Novartis, Merck Serono, Almirall, Amgen, Sun Pharma Industries, Pierre Fabre, Sanofi, Regeneron Pharmaceuticals, Bayer AG, Immunocore. Support for attending meetings and/or travel: Bristol Myers Squibb, Roche, Merck Serono, Pierre Fabre, Sun Pharma Industries. Rahima Jamal. Grants or contracts from any entity: Merck Sharp & Dohme, Bristol Myers Squibb, Iovance Biotherapeutics. Consulting fees: Bristol Myers Squibb. Alexander C.J. van Akkooi. Grants or contracts from any entity: Amgen, Merck, Pfizer. Participation on a Data Safety Monitoring Board or Advisory Board: Amgen, Bristol-Myers Squibb, Novartis, MSD-Merck, Merck, Pfizer, Pierre Fabre, Provectus, Sanofi, Sirius Medical, 4SC. Caroline Robert. Consulting fees: AstraZeneca, BMS, MSD, Merck, Roche, Novartis, Pfizer, Pierre Fabre, Sanofi. Co-founder: Ribonexus. Alexander Eggermont. Consulting fees: Agenus, BioInvent, BMS, Brenus, CatalYm, Ellipses, Galecto, IO Biotech, IQVIA, ISA Pharmaceuticals, Merck&Co, MSD, Pierre Fabre, Sairopa, Sellas, SkylineDX, TigeTx, Trained Immunity TX. Participation on a Data Safety Monitoring Board: BioNTech, GSK, and Pfizer. Lectures: BMS, MSD. Leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid: European Academy Cancer Sciences, German Cancer Aid. Stock or stock options: IO Biotech, SkylineDx and SaiRoPA. Paul Lorigan. Grants or contracts from any entity: BMS, Pierre Fabre. Consulting fees: Amgen, BMS, MSD, Nektar, Novartis, Pierre Fabre. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Amgen, BMS, Merck, MSD, Nektar, NeraCare GmbH, Novartis, Oncology Education, Pierre Fabre, Roche. Support for attending meetings and/or travel: BMS, MSD. Mario Mandala. Participation to Advisory Board: BMS, Merck Sharp & Dohme, Novartis, Pierre Fabre Pharmaceuticals., (Copyright © 2023. Published by Elsevier Ltd.)
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- 2023
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26. Adjuvant treatment of in-transit melanoma: Narrowing the knowledge gap left by clinical trials.
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de Meza MM, Blokx WAM, Bonenkamp HJ, Blank CU, Aarts MJB, van den Berkmortel FWPJ, Boers-Sonderen MJ, de Groot JWB, Haanen JB, Hospers GAP, Kapiteijn EW, van Not OJ, Piersma D, van Rijn RS, Stevense-Den Boer MA, van der Veldt AAM, Vreugdenhil G, van den Eertwegh AJM, Suijkerbuijk KPM, and Wouters MWJM
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- Humans, Combined Modality Therapy, Melanoma, Cutaneous Malignant, Melanoma pathology, Skin Neoplasms pathology
- Abstract
Few clinical trials address efficacy of adjuvant systemic treatment in patients with in-transit melanoma (ITM). This study describes adjuvant systemic therapy of ITM patients beyond clinical trials. In this study, we included stage III adjuvant-treated melanoma patients registered in the nationwide Dutch Melanoma Treatment Registry between July 2018 and December 2020. Patients were divided into three groups: nodal disease only, ITM only and ITM and nodal disease. Recurrence patterns, recurrence-free survival (RFS) and overall survival (OS) at 12-months were analyzed. In our study population of 1037 patients, 66.8% had nodal disease only, 16.7% had ITM only and 16.2% had ITM with nodal disease. RFS at 12-months was comparable in the nodal only and ITM only group (72.2% vs70.1%, P = .97) but lower in ITM and nodal disease patients (57.8%; P = .01, P < .01). Locoregional metastases occurred as first recurrence in 38.9% nodal disease only, 71.9% of ITM-only and 44.0% of ITM and nodal disease patients. Distant recurrences occurred in 42.3%, 18.8% and 36.0%, respectively (P = .02). 12-months OS was not significantly different for nodal disease only patients compared with ITM-only (94.4% vs 97.6%, P = .06) but was significantly higher for ITM-only compared with ITM and nodal disease patients (97.6% vs 91.0%, P < .01). In conclusion, we showed that in the adjuvant setting, RFS rates in ITM-only patients are similar to non-ITM, though better than in ITM and nodal disease patients. Adjuvant-treated ITM-only patients less often experience distant recurrences and have a superior OS compared with ITM and nodal disease patients., (© 2023 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2023
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27. Time interval from primary melanoma to first distant recurrence in relation to patient outcomes in advanced melanoma.
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van Duin IAJ, Elias SG, van den Eertwegh AJM, de Groot JWB, Blokx WAM, van Diest PJ, Leiner T, Verhoeff JJC, Verheijden RJ, van Not OJ, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Haanen JBAG, Hospers GAP, Kamphuis AM, Piersma D, van Rijn RS, van der Veldt AAM, Vreugdenhil G, Wouters MWJM, Stevense-den Boer MAM, Boers-Sonderen MJ, Kapiteijn E, and Suijkerbuijk KPM
- Subjects
- Humans, Prognosis, Antineoplastic Combined Chemotherapy Protocols adverse effects, Mitogen-Activated Protein Kinase Kinases, Retrospective Studies, Proto-Oncogene Proteins B-raf genetics, Melanoma
- Abstract
Since the introduction of BRAF(/MEK) inhibition and immune checkpoint inhibition (ICI), the prognosis of advanced melanoma has greatly improved. Melanoma is known for its remarkably long time to first distant recurrence (TFDR), which can be decades in some patients and is partly attributed to immune-surveillance. We investigated the relationship between TFDR and patient outcomes after systemic treatment for advanced melanoma. We selected patients undergoing first-line systemic therapy for advanced melanoma from the nationwide Dutch Melanoma Treatment Registry. The association between TFDR and progression-free survival (PFS) and overall survival (OS) was assessed by Cox proportional hazard regression models. The TFDR was modeled categorically, linearly, and flexibly using restricted cubic splines. Patients received anti-PD-1-based treatment (n = 1844) or BRAF(/MEK) inhibition (n = 1618). For ICI-treated patients with a TFDR <2 years, median OS was 25.0 months, compared to 37.3 months for a TFDR >5 years (P = .014). Patients treated with BRAF(/MEK) inhibition with a longer TFDR also had a significantly longer median OS (8.6 months for TFDR <2 years compared to 11.1 months for >5 years, P = .004). The hazard of dying rapidly decreased with increasing TFDR until approximately 5 years (HR 0.87), after which the hazard of dying further decreased with increasing TFDR, but less strongly (HR 0.82 for a TFDR of 10 years and HR 0.79 for a TFDR of 15 years). Results were similar when stratifying for type of treatment. Advanced melanoma patients with longer TFDR have a prolonged PFS and OS, irrespective of being treated with first-line ICI or targeted therapy., (© 2023 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2023
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28. Real-world Outcomes of Ipilimumab Plus Nivolumab Combination Therapy in a Nation-wide Cohort of Advanced Melanoma Patients in the Netherlands.
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van Zeijl MCT, van Breeschoten J, de Wreede LC, Wouters MWJM, Hilarius DL, Blank CU, Aarts MJB, van den Berkmortel FWPJ, de Groot JWB, Hospers GAP, Kapiteijn E, Piersma D, van Rijn RS, Stevense-den Boer MA, van der Veldt AAM, Vreugdenhil G, Boers-Sonderen MJ, Suijkerbuijk KPM, Haanen JBAG, and van den Eertwegh AJM
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- Humans, Antineoplastic Combined Chemotherapy Protocols adverse effects, Ipilimumab therapeutic use, Netherlands, Nivolumab therapeutic use, Brain Neoplasms drug therapy, Melanoma pathology
- Abstract
In phase III trials, ipilimumab plus nivolumab combination therapy is highly efficacious for advanced melanoma, despite many treatment-related grades 3-4 adverse events. Here, we report real-world safety and survival outcomes of ipilimumab plus nivolumab for advanced melanoma. Patients with advanced melanoma who received first-line ipilimumab plus nivolumab between January 1, 2015 and June 30, 2021 were selected from the Dutch Melanoma Treatment Registry. We evaluated response status at 3, 6, 12, 18, and 24 months. OS and PFS were estimated with the Kaplan-Meier method. Separate analyses were performed for patients with or without brain metastases and for patients who met the inclusion criteria of the Checkmate-067 trial. In total, 709 patients received first-line ipilimumab plus nivolumab. Three hundred sixty (50.7%) patients experienced grade 3-4 adverse events, with 211 of the (58.6%) patients requiring hospital admission. The median treatment duration was 42 days (IQR = 31-139). At 24 months, disease control was achieved in 37% of patients. Median PFS since the start of treatment was 6.6 months (95% CI: 5.3-8.7), and median OS was 28.7 months (95% CI: 20.7-42.2). CheckMate-067 trial-like patients had a 4-year OS of 50% (95% CI: 43-59). Among patients with no asymptomatic or symptomatic brain metastases, the 4-year OS probabilities were 48% (95% CI: 41-55), 45% (95% CI: 35-57), and 32% (95% CI: 23-46). Ipilimumab plus nivolumab can achieve long-term survival in advanced melanoma patients in a real-world setting, including patients not represented in the CheckMate-067 trial. However, the proportion of patients with disease control in the real world is lower compared with clinical trials., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2023
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29. Response to checkpoint inhibition and targeted therapy in melanoma patients with concurrent haematological malignancies.
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Van Not OJ, van den Eertwegh AJM, Haanen JB, van Rijn RS, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Boers-Sonderen MJ, van Eijs MJM, de Groot JB, Hospers GAP, Kapiteijn E, de Meza M, Piersma D, Stevense-den Boer M, van der Veldt AAM, Vreugdenhil G, Wouters MWJM, Suijkerbuijk KPM, and Blokx WAM
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- Humans, Nivolumab therapeutic use, Ipilimumab, Prospective Studies, Proto-Oncogene Proteins B-raf, Retrospective Studies, Mitogen-Activated Protein Kinase Kinases, Melanoma pathology, Hematologic Neoplasms
- Abstract
Background: Patients diagnosed with haematologic malignancies (HMs) have a higher risk of developing subsequent solid tumours, such as melanoma. Patients with HM were mostly excluded from clinical trials but potentially derive less benefit from immune checkpoint inhibitors (ICIs) due to disease- or treatment-related T- or B-cell dysfunction., Methods: All advanced melanoma patients treated with anti-PD-1-based treatment or targeted therapy between 2015 and 2021 were included from the prospective nationwide Dutch Melanoma Treatment Registry. Progression-free survival (PFS) and melanoma-specific survival (MSS) were analysed for patients with HM (HM+) and without HM (HM-). A cox model was used to account for confounders associated with PFS and MSS., Results: In total, 4638 advanced melanoma patients received first-line anti-PD-1 monotherapy (n = 1763), ipilimumab-nivolumab (n = 800), or BRAF(/MEK) inhibitors (n = 2075). Concurrent HMs were present for 46 anti-PD1-treated patients, 11 ipilimumab-nivolumab-treated patients and 43 BRAF(/MEK)-inhibitor-treated patients. In anti-PD-1-treated patients, the median PFS was 2.8 months for HM+ and 9.9 months for HM- (p = 0.01). MSS was 41.2 months for HM+ and 58.1 months for HM- (p = 0.00086). In multivariable analysis, the presence of an HM was significantly associated with higher risk of melanoma progression (HR
adj 1.62; 95% confidence interval [95% CI] 1.15-2.29; p = 0.006) and melanoma-related death (HRadj 1.74; 95% CI 1.09-2.78; p = 0.020). Median PFS and MSS for first-line BRAF(/MEK-) inhibitor-treated HM+ and HM- patients were not significantly different., Conclusions: Patients with HM and advanced melanoma show significantly worse melanoma-related outcomes when treated with ICI, but not targeted therapy, compared to patients without HM. Clinicians should be aware of potentially altered effectiveness of ICI in patients with active HM., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: A.vdE. has advisory relationships with Amgen, Bristol Myers Squibb, Roche, Novartis, MSD, Pierre Fabre, Sanofi, Pfizer, Ipsen, Merck and has received research study grants not related to this paper from Sanofi, Roche, Bristol Myers Squibb, Idera and TEVA and has received travel expenses from MSD Oncology, Roche, Pfizer and Sanofi and has received speaker honoraria from BMS and Novartis. J.H. has advisory relationships with Achilles Therapeutics, AstraZeneca, Bristol Myers Squibb, BioNTech, Immunocore, Iovance Biotherapeutics, Instil Bio, Ipsen, MSD, Merck Serono, Molecular Partners, Novartis, Neogene Therapeutics, Pfizer, PokeAcel, Roche/Genentech, Sanofi, T-Knife and has received research grants not related to this paper from Asher Bio, Amgen, Bristol Myers Squibb, MSD, BioNTech, Neogene Therapeutics and Novartis. All grants were paid to the institutions. C.B. has/had advisory role: BMS, MSD, Roche, Novartis, GSK, AZ, Pfizer, Lilly, GenMab, Pierre Fabre, Third Rock Ventures, received research funding: BMS, Novartis, NanoString, 4SC, stockownership: co-founder Immagene BV and Signature Oncology, patents (incl. submitted): WO 2021/177822 A1, N2027907, P091040NL2. M.A. has advisory board/consultancy honoraria from Amgen, Bristol Myers Squibb, Novartis, MSD-Merck, Merck-Pfizer, Pierre Fabre, Sanofi, Astellas, Bayer. Research grants Merck-Pfizer. Not related to current work and paid to institute. J.dG. has consultancy/advisory relationships with Bristol Myers Squibb, Pierre Fabre, Servier, MSD, Novartis. G.H. consultancy/advisory relationships with Amgen, Bristol Myers Squibb, Roche, MSD, Pfizer, Novartis, Pierre Fabre and has received research grants not related to this paper from Bristol Myers Squibb, Seerave and were paid to the institution. E.K. has consultancy/advisory relationships with Bristol Myers Squibb, Novartis, Merck, Pierre Fabre, Lilly and Bayer, and received research grants not related to this paper from Bristol Myers Squibb and Pierre-Fabre. Not related to current work and paid to institute. R.vR. has advisory board/consultancy honoraria from Pfizer and an expert meeting fee from Roche. A.vdV. has consultancy relationships with Bristol Myers Squibb, MSD, Roche, Novartis, Pierre Fabre, Pfizer, Sanofi, Ipsen, Eisai, Merck. M.B.S. has consultancy/advisory relationships with Pierre Fabre, MSD and Novartis. K.S. has advisory relationships with Bristol Myers Squibb, Novartis, MSD, Pierre Fabre, AbbVie, received honoraria from Novartis, MSD and Roche and received research funding from BMS, Philips and TigaTx. All remaining authors have declared no conflicts of interest., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)- Published
- 2023
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30. A Survival Tree of Advanced Melanoma Patients with Brain Metastases Treated with Immune Checkpoint Inhibitors.
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van Not OJ, Wind TT, Ismail RK, Bhattacharya A, Jalving M, Blank CU, Aarts MJB, van den Berkmortel FWPJ, Boers-Sonderen MJ, van den Eertwegh AJM, de Groot JWB, Haanen JB, Kapiteijn E, Bloem M, Piersma D, van Rijn RS, Stevense-den Boer M, van der Veldt AAM, Vreugdenhil G, Wouters MWJM, Blokx WAM, Suijkerbuijk KPM, Fehrmann RSN, and Hospers GAP
- Abstract
The efficacy of immune checkpoint inhibitors (ICIs) in patients with advanced melanoma that develop brain metastases (BM) remains unpredictable. In this study, we aimed to identify prognostic factors in patients with melanoma BM who are treated with ICIs. Data from advanced melanoma patients with BM treated with ICIs in any line between 2013 and 2020 were obtained from the Dutch Melanoma Treatment Registry. Patients were included from the time of the treatment of BM with ICIs. Survival tree analysis was performed with clinicopathological parameters as potential classifiers and overall survival (OS) as the response variable. In total, 1278 patients were included. Most patients were treated with ipilimumab-nivolumab combination therapy (45%). The survival tree analysis resulted in 31 subgroups. The median OS ranged from 2.7 months to 35.7 months. The strongest clinical parameter associated with survival in advanced melanoma patients with BM was the serum lactate dehydrogenase (LDH) level. Patients with elevated LDH levels and symptomatic BM had the worst prognosis. The clinicopathological classifiers identified in this study can contribute to optimizing clinical studies and can aid doctors in giving an indication of the patients' survival based on their baseline and disease characteristics.
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- 2023
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31. Incidence and survival of castration-resistant prostate cancer patients with visceral metastases: results from the Dutch CAPRI-registry.
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van den Bergh GPA, Kuppen MCP, Westgeest HM, Mehra N, Gerritsen WR, Aben KKH, van Oort IM, van Moorselaar RJA, Somford DM, van den Eertwegh AJM, Bergman AM, van den Bergh ACM, and Uyl-de Groot CA
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- Humans, Male, Incidence, Prognosis, Registries, Retrospective Studies, Lung Neoplasms secondary, Prostatic Neoplasms, Castration-Resistant drug therapy
- Abstract
Background: The objective of this real-world population study is to investigate incidence and treatment of visceral metastases (VMs) in castration resistant prostate cancer (CRPC) patients and their survival., Methods: CRPC-patients in the CAPRI-registry between 2010 and 2016 were included in the analyses and followed till 2017. Outcomes were proportion of patients radiologically screened for VMs and proportion of patients with VMs at CRPC-diagnosis and at the start of every treatment line. Groups have been created based on location of VMs (lung, liver, or both) at date of first VM diagnosis. The outcome for these groups was overall survival (OS). Statistics included descriptive analyses, Kaplan-Meier method, and Cox proportional hazard regression analysis for survival analyses., Results: Of 3602 patients from the CAPRI registry, 457 patients (12.7%) were diagnosed with VMs during follow-up: 230 patients with liver, 161 with lung, and 66 with both liver and lung metastases. The proportion of patients radiologically screened for VMs increased per treatment line as did the occurrence rate of VMs. However, 80% of patients at CRPC diagnosis to 40% in the 6th line were not screened for VMs at the start of a systemic treatment. Median OS was 8.6 months for patients with liver, 18.3 with lung and 10.9 with both liver and lung metastases (p < 0.001) from date of first VM diagnosis. After correction for prognostic factors patients with lung metastases had significantly better OS than patients with liver metastases (HR 0.650, p = 0.001)., Conclusion: This real-world analysis showed that despite the increased rate of radiological staging during follow-up, still 80% to 40% of the patients (CRPC diagnosis to 6th treatment line respectively) were not screened for VMs at the start of a systemic treatment. VMs and location of VMs are key prognostic patient characteristics, impacts survival and have implications for treatment decisions, so routine staging of CRPC-patients is warranted., Clinical Trial Identification: The CAPRI study is registered in the Dutch Trial Registry as NL3440 (NTR3591)., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2023
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32. Population mortality in advanced melanoma patients with and without response and progression; data from the Dutch Melanoma Treatment Registry.
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van Breeschoten J, van den Eertwegh AJM, Hilarius DL, Haanen JB, Blank CU, Aarts MJB, van den Berkmortel FWPJ, de Groot JWB, Hospers GAP, Kapiteijn E, Piersma D, van Rijn RS, Stevense-den Boer MA, van der Veldt AAM, Vreugdenhil G, Boers-Sonderen MJ, Manevski D, Suijkerbuijk KPM, Wouters MWJM, and de Wreede LC
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- Humans, Registries, Netherlands epidemiology, Skin Neoplasms, Melanoma
- Abstract
Introduction: When analysing patient survival, one is often interested in cause of death. Little is known about the presence of population mortality in advanced melanoma patients. The aim of this study was to assess population mortality after different response states in advanced melanoma patients in the Netherlands, and analyse the contribution of disease and population mortality for different age groups., Methods: We selected patients diagnosed between 2013 and 2019 with unresectable IIIC or stage IV melanoma, registered in the Dutch Melanoma Treatment Registry. A multi-state model with response states integrating population mortality was fitted. One-year landmark analyses were performed to assess outcomes after each response state., Results: Overall, 5119 patients were selected. Five-year probabilities of melanoma-related mortality in patients alive in complete response at one year after diagnosis increased with age, and was 17.2% (95% confidence interval: 13.0-21.4) for patients aged <65 years and 28.7% (95% confidence interval: 24.3-33.1) in patients aged ≥80 years. Population mortality only played a large role for older patients (75 years and above) alive at 1 year after diagnosis with a partial or complete response., Conclusion: Even though survival outcomes of advanced melanoma patients have improved over the last decade, the vast majority of patients still die due to melanoma-related mortality., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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- 2023
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33. Failure to validate existing clinical prediction scale for response to PD-1 monotherapy in advanced melanoma in national cohort study.
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van der Kooij MK, Joosse A, Suijkerbuijk KPM, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Boers-Sonderen MJ, van den Eertwegh AJM, de Groot JWB, Haanen JBAG, Hospers GAP, Piersma D, van Rijn RS, van der Veldt AAM, Vreugdenhil G, Westgeest HM, Wouters MWJM, Dekkers OM, and Kapiteijn E
- Subjects
- Humans, Cohort Studies, Nivolumab therapeutic use, Programmed Cell Death 1 Receptor therapeutic use, Melanoma drug therapy
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- 2023
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34. Adjuvant BRAF-MEK Inhibitors versus Anti PD-1 Therapy in Stage III Melanoma: A Propensity-Matched Outcome Analysis.
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De Meza MM, Blokx WAM, Bonenkamp JJ, Blank CU, Aarts MJB, van den Berkmortel FWPJ, Boers-Sonderen MJ, De Groot JWB, Haanen JBAG, Hospers GAP, Kapiteijn E, Van Not OJ, Piersma D, Van Rijn RS, Stevense-den Boer M, Van der Veldt AAM, Vreugdenhil G, Van den Eertwegh AJM, Suijkerbuijk KPM, and Wouters MWJM
- Abstract
Adjuvant BRAF/MEK- and anti-PD-1 inhibition have significantly improved recurrence-free survival (RFS) compared to placebo in resected stage III BRAF-mutant melanoma. However, data beyond the clinical trial setting are limited. This study describes the toxicity and survival of patients treated with adjuvant BRAF/MEK inhibitors and compares outcomes to adjuvant anti-PD-1. For this study, stage III BRAF V600 mutant cutaneous melanoma patients treated with adjuvant BRAF/MEK-inhibition or anti-PD-1 were identified from the Dutch Melanoma Treatment Registry. BRAF/MEK- and anti-PD-1-treated patients were matched based on propensity scores, and RFS at 12 and 18 months were estimated. Between 1 July 2018 and 31 December 2021, 717 patients were identified. Of these, 114 patients with complete records were treated with BRAF/MEK therapy and 532 with anti-PD-1. Comorbidities (p = 0.04) and geographical region (p < 0.01) were associated with treatment choice. In 45.6% of BRAF/MEK-treated patients, treatment was prematurely discontinued. Grade ≥ 3 toxicity occurred in 11.5% of patients and was the most common cause of early discontinuation (71.1%). At 12 and 18 months, RFS in BRAF/MEK-treated patients was 85% and 70%, compared to 68% and 68% in matched anti-PD-1-treated patients (p = 0.03). In conclusion, comorbidities and geographical region determine the choice of adjuvant treatment in patients with resected stage III BRAF-mutant melanoma. With the currently limited follow-up, BRAF/MEK-treated patients have better RFS at 12 months than matched anti-PD-1-treated patients, but this difference is no longer observed at 18 months. Therefore, longer follow-up data are necessary to estimate long-term effectiveness.
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- 2023
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35. Is a History of Optimal Staging by Sentinel Lymph Node Biopsy in the Era Prior to Adjuvant Therapy Associated with Improved Outcome Once Melanoma Patients have Progressed to Advanced Disease?
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Blankenstein SA, Bonenkamp JJ, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Blokx WAM, Boers-Sonderen MJ, van den Eertwegh AJM, Franken MG, de Groot JWB, Haanen JBAG, Hospers GAP, Kapiteijn EW, van Not OJ, Piersma D, van Rijn RS, Suijkerbuijk KPM, van der Veldt AAM, Vreugdenhil G, Westgeest HM, Wouters MWJM, and van Akkooi ACJ
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- Humans, Patient Outcome Assessment, Prognosis, Melanoma, Cutaneous Malignant, Melanoma diagnosis, Melanoma surgery, Sentinel Lymph Node Biopsy, Skin Neoplasms diagnosis, Skin Neoplasms surgery
- Abstract
Introduction: Sentinel lymph node biopsy (SLNB) is important for staging in patients with primary cutaneous melanoma. Did having previously undergone SLNB also affect outcomes in patients once they have progressed to metastatic melanoma in the era prior to adjuvant therapy?, Methods: Data were retrieved from the Dutch Melanoma Treatment Registry, a prospectively collected, nationwide database of patients with unresectable stage IIIC or IV (advanced) melanoma between 2012 and 2018. Melanoma-specific survival (MSS) was compared between patients with advanced cutaneous melanoma, previously treated with a wide local excision (WLE) or WLE combined with SLNB as initial treatment of their primary tumor. Cox regression analyses were used to analyze the influence of different variables on MSS., Results: In total, 2581 patients were included, of whom 1412 were treated with a WLE of the primary tumor alone and 1169 in whom this was combined with SLNB. At a median follow-up of 44 months from diagnosis of advanced melanoma, MSS was significantly longer in patients who had previously undergone SLNB {median 23 months (95% confidence interval [CI] 19-29) vs. 18 months (95% CI 15-20) for patients treated with WLE alone; p = 0.002}. However, multivariate Cox regression did not identify SLNB as an independent favorable prognostic factor for MSS after diagnosis of advanced melanoma., Conclusion: Prior to the availability of adjuvant systemic therapy, once patients have unresectable stage IIIC or IV (advanced) melanoma, there was no difference in disease outcome for patients who were or were not previously staged with SLNB., (© 2022. Society of Surgical Oncology.)
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- 2023
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36. Tumor-Infiltrating Lymphocyte Therapy or Ipilimumab in Advanced Melanoma.
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Rohaan MW, Borch TH, van den Berg JH, Met Ö, Kessels R, Geukes Foppen MH, Stoltenborg Granhøj J, Nuijen B, Nijenhuis C, Jedema I, van Zon M, Scheij S, Beijnen JH, Hansen M, Voermans C, Noringriis IM, Monberg TJ, Holmstroem RB, Wever LDV, van Dijk M, Grijpink-Ongering LG, Valkenet LHM, Torres Acosta A, Karger M, Borgers JSW, Ten Ham RMT, Retèl VP, van Harten WH, Lalezari F, van Tinteren H, van der Veldt AAM, Hospers GAP, Stevense-den Boer MAM, Suijkerbuijk KPM, Aarts MJB, Piersma D, van den Eertwegh AJM, de Groot JB, Vreugdenhil G, Kapiteijn E, Boers-Sonderen MJ, Fiets WE, van den Berkmortel FWPJ, Ellebaek E, Hölmich LR, van Akkooi ACJ, van Houdt WJ, Wouters MWJM, van Thienen JV, Blank CU, Meerveld-Eggink A, Klobuch S, Wilgenhof S, Schumacher TN, Donia M, Svane IM, and Haanen JBAG
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- Humans, Cell- and Tissue-Based Therapy, Ipilimumab adverse effects, Lymphocytes, Tumor-Infiltrating, Melanoma drug therapy, Immunotherapy, Adoptive
- Abstract
Background: Immune checkpoint inhibitors and targeted therapies have dramatically improved outcomes in patients with advanced melanoma, but approximately half these patients will not have a durable benefit. Phase 1-2 trials of adoptive cell therapy with tumor-infiltrating lymphocytes (TILs) have shown promising responses, but data from phase 3 trials are lacking to determine the role of TILs in treating advanced melanoma., Methods: In this phase 3, multicenter, open-label trial, we randomly assigned patients with unresectable stage IIIC or IV melanoma in a 1:1 ratio to receive TIL or anti-cytotoxic T-lymphocyte antigen 4 therapy (ipilimumab at 3 mg per kilogram of body weight). Infusion of at least 5×10
9 TILs was preceded by nonmyeloablative, lymphodepleting chemotherapy (cyclophosphamide plus fludarabine) and followed by high-dose interleukin-2. The primary end point was progression-free survival., Results: A total of 168 patients (86% with disease refractory to anti-programmed death 1 treatment) were assigned to receive TILs (84 patients) or ipilimumab (84 patients). In the intention-to-treat population, median progression-free survival was 7.2 months (95% confidence interval [CI], 4.2 to 13.1) in the TIL group and 3.1 months (95% CI, 3.0 to 4.3) in the ipilimumab group (hazard ratio for progression or death, 0.50; 95% CI, 0.35 to 0.72; P<0.001); 49% (95% CI, 38 to 60) and 21% (95% CI, 13 to 32) of the patients, respectively, had an objective response. Median overall survival was 25.8 months (95% CI, 18.2 to not reached) in the TIL group and 18.9 months (95% CI, 13.8 to 32.6) in the ipilimumab group. Treatment-related adverse events of grade 3 or higher occurred in all patients who received TILs and in 57% of those who received ipilimumab; in the TIL group, these events were mainly chemotherapy-related myelosuppression., Conclusions: In patients with advanced melanoma, progression-free survival was significantly longer among those who received TIL therapy than among those who received ipilimumab. (Funded by the Dutch Cancer Society and others; ClinicalTrials.gov number, NCT02278887.)., (Copyright © 2022 Massachusetts Medical Society.)- Published
- 2022
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37. Association of Immune-Related Adverse Event Management With Survival in Patients With Advanced Melanoma.
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van Not OJ, Verheijden RJ, van den Eertwegh AJM, Haanen JBAG, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Boers-Sonderen MJ, de Groot JB, Hospers GAP, Kamphuis AM, Kapiteijn E, May AM, de Meza MM, Piersma D, van Rijn R, Stevense-den Boer MA, van der Veldt AAM, Vreugdenhil G, Blokx WAM, Wouters MJM, and Suijkerbuijk KPM
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- Humans, Male, Middle Aged, Female, Ipilimumab adverse effects, Nivolumab therapeutic use, Cohort Studies, Antineoplastic Combined Chemotherapy Protocols adverse effects, Steroids therapeutic use, Immunosuppressive Agents therapeutic use, Retrospective Studies, Melanoma pathology, Immune System Diseases chemically induced
- Abstract
Importance: Management of checkpoint inhibitor-induced immune-related adverse events (irAEs) is primarily based on expert opinion. Recent studies have suggested detrimental effects of anti-tumor necrosis factor on checkpoint-inhibitor efficacy., Objective: To determine the association of toxic effect management with progression-free survival (PFS), overall survival (OS), and melanoma-specific survival (MSS) in patients with advanced melanoma treated with first-line ipilimumab-nivolumab combination therapy., Design, Setting, and Participants: This population-based, multicenter cohort study included patients with advanced melanoma experiencing grade 3 and higher irAEs after treatment with first-line ipilimumab and nivolumab between 2015 and 2021. Data were collected from the Dutch Melanoma Treatment Registry. Median follow-up was 23.6 months., Main Outcomes and Measures: The PFS, OS, and MSS were analyzed according to toxic effect management regimen. Cox proportional hazard regression was used to assess factors associated with PFS and OS., Results: Of 771 patients treated with ipilimumab and nivolumab, 350 patients (median [IQR] age, 60.0 [51.0-68.0] years; 206 [58.9%] male) were treated with immunosuppression for severe irAEs. Of these patients, 235 received steroids alone, and 115 received steroids with second-line immunosuppressants. Colitis and hepatitis were the most frequently reported types of toxic effects. Except for type of toxic effect, no statistically significant differences existed at baseline. Median PFS was statistically significantly longer for patients treated with steroids alone compared with patients treated with steroids plus second-line immunosuppressants (11.3 [95% CI, 9.6-19.6] months vs 5.4 [95% CI, 4.5-12.4] months; P = .01). Median OS was also statistically significantly longer for the group receiving steroids alone compared with those receiving steroids plus second-line immunosuppressants (46.1 months [95% CI, 39.0 months-not reached (NR)] vs 22.5 months [95% CI, 36.5 months-NR]; P = .04). Median MSS was also better in the group receiving steroids alone compared with the group receiving steroids plus second-line immunosuppressants (NR [95% CI, 46.1 months-NR] vs 28.8 months [95% CI, 20.5 months-NR]; P = .006). After adjustment for potential confounders, patients treated with steroids plus second-line immunosuppressants showed a trend toward a higher risk of progression (adjusted hazard ratio, 1.40 [95% CI, 1.00-1.97]; P = .05) and had a higher risk of death (adjusted hazard ratio, 1.54 [95% CI, 1.03-2.30]; P = .04) compared with those receiving steroids alone., Conclusions and Relevance: In this cohort study, second-line immunosuppression for irAEs was associated with impaired PFS, OS, and MSS in patients with advanced melanoma treated with first-line ipilimumab and nivolumab. These findings stress the importance of assessing the effects of differential irAE management strategies, not only in patients with melanoma but also other tumor types.
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- 2022
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38. Systemic Therapy in Advanced Nodular Melanoma versus Superficial Spreading Melanoma: A Nation-Wide Study of the Dutch Melanoma Treatment Registry.
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Rauwerdink DJW, van Doorn R, van der Hage J, Van den Eertwegh AJM, Haanen JBAG, Aarts M, Berkmortel F, Blank CU, Boers-Sonderen MJ, De Groot JWB, Hospers GAP, de Meza M, Piersma D, Van Rijn RS, Stevense M, Van der Veldt A, Vreugdenhil G, Wouters MWJM, Suijkerbuijk K, van der Kooij M, and Kapiteijn E
- Abstract
Nodular melanoma (NM) is associated with a higher locoregional and distant recurrence rate compared with superficial spreading melanoma (SSM); it is unknown whether the efficacy of systemic therapy is limited. Here, we compare the efficacy of immunotherapy and BRAF/MEK inhibitors (BRAF/MEKi) in advanced NM to SSM. Patients with advanced stage IIIc and stage IV NM and SSM treated with anti-CTLA-4 and/or anti-PD-1, or BRAF/MEKi in the first line, were included from the prospective Dutch Melanoma Treatment Registry. The primary objectives were distant metastasis-free survival (DMFS) and overall survival (OS). In total, 1086 NM and 2246 SSM patients were included. DMFS was significantly shorter for advanced NM patients at 1.9 years (CI 95% 0.7−4.2) compared with SSM patients at 3.1 years (CI 95% 1.3−6.2) (p < 0.01). Multivariate survival analysis for immunotherapy and BRAF/MEKi demonstrated a hazard ratio for immunotherapy of 1.0 (CI 95% 0.85−1.17) and BRAF/MEKi of 0.95 (CI 95% 0.81−1.11). A shorter DMFS for NM patients developing advanced disease compared with SSM patients was observed, while no difference was observed in the efficacy of systemic immunotherapy or BRAF/MEKi between NM and SSM patients. Our results suggests that the worse overall survival of NM is mainly driven by propensity of metastatic outgrowth of NM after primary diagnosis.
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- 2022
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39. Five-Year Analysis of Adjuvant Pembrolizumab or Placebo in Stage III Melanoma.
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Eggermont AMM, Kicinski M, Blank CU, Mandala M, Long GV, Atkinson V, Dalle S, Haydon A, Meshcheryakov A, Khattak A, Carlino MS, Sandhu S, Larkin J, Puig S, Ascierto PA, Rutkowski P, Schadendorf D, Boers-Sonderen M, Di Giacomo AM, van den Eertwegh AJM, Grob JJ, Gutzmer R, Jamal R, van Akkooi ACJ, Lorigan P, Grebennik D, Krepler C, Marreaud S, Suciu S, and Robert C
- Subjects
- Humans, Adjuvants, Immunologic therapeutic use, Adjuvants, Pharmaceutic therapeutic use, Antibodies, Monoclonal, Humanized, Neoplasm Staging, Melanoma drug therapy, Skin Neoplasms drug therapy
- Abstract
BACKGROUND: In the previously reported primary analyses of this phase 3 trial, 12 months of adjuvant pembrolizumab resulted in significantly longer recurrence- and distant metastasis-free survival than placebo in patients with resected high-risk stage III melanoma. To confirm the stability of these benefits, longer-term data were needed. METHODS: We randomly assigned 1019 patients to receive 200 mg of pembrolizumab or placebo intravenously every 3 weeks for a total of 18 doses (approximately 1 year) and had previously reported data with a 15-, 36-, and 42-month median follow-up. We now report data at a median follow-up of 4.9 years. We report a number of outcomes, including recurrence-free survival in the overall population and in the subgroup of patients with cancer who were positive for the programmed death-ligand 1 (PD-L1). Distant metastasis-free survival was a secondary end point. RESULTS: In the overall intention-to-treat population, pembrolizumab was still associated with longer recurrence-free survival than placebo (5-year rate of recurrence-free survival, 55.4% [95% confidence interval (CI), 50.8 to 59.8] vs. 38.3% [95% CI, 33.9 to 42.7]; hazard ratio for recurrence or death, 0.61 [95% CI, 0.51 to 0.72]) and a longer distant metastasis-free survival (5-year rate of distant metastasis-free survival, 60.6% [95% CI, 56.0 to 64.9] vs. 44.5% [95% CI, 39.9 to 48.9]; hazard ratio for distant metastasis or death, 0.62 [95% CI, 0.52 to 0.75]). Similar findings were obtained in the subgroup of 853 patients with PD-L1–positive tumors. CONCLUSIONS: The 5-year analysis of adjuvant therapy with pembrolizumab resulted in a sustained improvement in the long-term recurrence- and distant metastasis-free survival compared with placebo in patients with resected stage III melanoma. (Funded by Merck & Co., Inc.; ClinicalTrials.gov number, NCT02362594, and EudraCT number, 2014-004944-37.)
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- 2022
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40. End-of-Life Use of Systemic Therapy in Patients With Advanced Melanoma: A Nationwide Cohort Study.
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van Breeschoten J, Ismail RK, Wouters MWJM, Hilarius DL, de Wreede LC, Haanen JB, Blank CU, Aarts MJB, van den Berkmortel FWPJ, de Groot JWB, Hospers GAP, Kapiteijn E, Piersma D, van Rijn RS, Stevense-den Boer MA, van der Veldt AAM, Vreugdenhil G, Boers-Sonderen MJ, Suijkerbuijk KPM, and van den Eertwegh AJM
- Subjects
- Cohort Studies, Death, Humans, Immunotherapy, Immune Checkpoint Inhibitors, Melanoma drug therapy, Melanoma pathology, Melanoma secondary
- Abstract
Purpose: The introduction of immune checkpoint inhibitors and targeted therapies improved the overall survival of patients with advanced melanoma. It is not known how often these costly treatments with potential serious side effects are ineffectively applied in the last phase of life. This study aimed to investigate the start of a new systemic therapy within 45 and 90 days of death in Dutch patients with advanced melanoma., Methods: We selected patients who were diagnosed with unresectable IIIC or stage IV melanoma, registered in the Dutch Melanoma Treatment Registry, and died between 2013 and 2019. Primary outcome was the probability of starting a new systemic therapy 45 and 90 days before death. Secondary outcomes were type of systemic therapy started, grade 3/4 adverse events (AEs), and the total costs of systemic therapies., Results: Between 2013 and 2019, 3,797 patients with unresectable IIIC or stage IV melanoma were entered in the registry and died. The percentage of patients receiving a new systemic therapy within 45 and 90 days before death was significantly different between Dutch melanoma centers (varying from 6% to 23% and 20% to 46%, respectively). Thirteen percent of patients (n = 146) developed grade 3/4 AEs in the last period before death. The majority of patients with an AE required hospital admission (n = 102, 69.6%). Mean total costs of systemic therapy per cohort year of the patients who received a new systemic therapy within 90 days before death were 2.3%-2.8% of the total costs spent on melanoma therapies., Conclusion: The minority of Dutch patients with metastatic melanoma started a new systemic therapy in the last phase of life. However, the percentages varied between Dutch melanoma centers. Financial impact of these therapies in the last phase of life is relatively small., Competing Interests: Rawa K. IsmailEmployment: MSD John B. HaanenStock and Other Ownership Interests: Neogene TherapeuticsConsulting or Advisory Role: MSD Oncology (Inst), Pfizer (Inst), Bristol Myers Squibb (Inst), Novartis (Inst), Roche/Genentech (Inst), Ipsen (Inst), Achilles Therapeutics (Inst), Immunocore (Inst), Sanofi (Inst), Third Rock Ventures (Inst), Neogene Therapeutics, Molecular Partners (Inst), bioNTech (Inst), T-Knife (Inst), PokeAcell (Inst), Instil Bio (Inst), Iovance Biotherapeutics (Inst)Research Funding: MSD (Inst), Bristol Myers Squibb (Inst), Novartis (Inst), Neon Therapeutics (Inst), Amgen (Inst), BioNTech (Inst), Asher Biotherapeutics (Inst) Christian U. BlankStock and Other Ownership Interests: ImmageneConsulting or Advisory Role: Roche/Genentech (Inst), MSD Oncology (Inst), Bristol Myers Squibb (Inst), Novartis (Inst), GlaxoSmithKline (Inst), Pfizer (Inst), AstraZeneca (Inst), Lilly (Inst), Pierre Fabre (Inst), GenMab (Inst), Third Rock VenturesResearch Funding: Bristol Myers Squibb (Inst), Novartis (Inst), NanoString Technologies (Inst), 4SC (Inst)Patents, Royalties, Other Intellectual Property: WO 2021/177822 A1Expert Testimony: FreshfieldsTravel, Accommodations, Expenses: Bristol Myers Squibb Maureen J.B. AartsResearch Funding: Pfizer (Inst) Jan Willem B. de GrootConsulting or Advisory Role: Bristol Myers Squibb, Pierre Fabre, Servier Geke A.P. HospersConsulting or Advisory Role: Roche (Inst), MSD (Inst), Amgen (Inst), Bristol Myers Squibb (Inst), Novartis (Inst), Pierre Fabre (Inst), Sanofi (Inst)Research Funding: Bristol Myers Squibb (Inst), Seerave Foundation (Inst) Ellen KapiteijnConsulting or Advisory Role: Pierre Fabre (Inst), Bristol Myers Squibb (Inst), Novartis (Inst), Lilly (Inst), Ipsen (Inst), Delcath Systems (Inst)Research Funding: BMS (Inst), Pierre Fabre (Inst) Djura PiersmaConsulting or Advisory Role: Pierre Fabre (Inst), Novartis (Inst) Astrid A.M. van der VeldtConsulting or Advisory Role: Ipsen (Inst), Roche (Inst), Bristol Myers Squibb (Inst), Pfizer (Inst), MSD Oncology (Inst), Sanofi (Inst), Pierre Fabre (Inst), Novartis (Inst), Eisai (Inst), Merck (Inst)Research Funding: Bayer (Inst)Travel, Accommodations, Expenses: Roche, MSD Oncology, Novartis, Bayer Karijn P.M. SuijkerbuijkConsulting or Advisory Role: Bristol Myers Squibb (Inst), Novartis (Inst), MSD (Inst), Pierre Fabre (Inst), AbbVie (Inst)Speakers' Bureau: Roche (Inst), Novartis (Inst)Research Funding: Bristol Myers Squibb Foundation (Inst), TigaTx (Inst), Philips Research (Inst) Alfonsus J.M. van den EertweghHonoraria: Bristol Myers SquibbConsulting or Advisory Role: Bristol Myers Squibb, MSD Oncology, Amgen, Roche, Novartis, Sanofi, Pfizer, Ipsen, Merck, Pierre FabreResearch Funding: Roche, Sanofi, BMSNo other potential conflicts of interest were reported.
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- 2022
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41. BRAF and NRAS Mutation Status and Response to Checkpoint Inhibition in Advanced Melanoma.
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van Not OJ, Blokx WAM, van den Eertwegh AJM, de Meza MM, Haanen JB, Blank CU, Aarts MJB, van den Berkmortel FWPJ, de Groot JWB, Hospers GAP, Kapiteijn E, Piersma D, van Rijn RS, Stevense-den Boer M, van der Veldt AAM, Boers-Sonderen MJ, Jansen AML, Wouters MWJM, and Suijkerbuijk KPM
- Subjects
- Cohort Studies, GTP Phosphohydrolases genetics, Humans, Immune Checkpoint Inhibitors pharmacology, Ipilimumab therapeutic use, Membrane Proteins genetics, Mutation, Nivolumab therapeutic use, Melanoma drug therapy, Proto-Oncogene Proteins B-raf genetics
- Abstract
Purpose: Little is known about the effect of specific gene mutations on efficacy of immune checkpoint inhibitors in patients with advanced melanoma., Materials and Methods: All patients with advanced melanoma treated with first-line anti-PD-1 or ipilimumab-nivolumab between 2012 and 2021 in the nationwide Dutch Melanoma Treatment Registry were included in this cohort study. Objective response rate, progression-free survival (PFS), and overall survival (OS) were analyzed according to BRAF and NRAS status. A multivariable Cox model was used to analyze prognostic factors associated with PFS and OS., Results: In total, 1764 patients received anti-PD-1 and 759 received ipilimumab-nivolumab. No significant differences in PFS were found in the anti-PD-1 cohort. In the ipilimumab-nivolumab cohort, median PFS was significantly higher for BRAF -mutant melanoma (9.9 months; 95% CI, 6.8 to 17.2) compared with NRAS -mutant (4.8 months; 95% CI, 3.0 to 7.5) and double wild-type (5.3 months; 95% CI, 3.6 to 7.1). In multivariable analysis, BRAF -mutant melanoma was significantly associated with a lower risk of progression or death in the ipilimumab-nivolumab cohort. Median OS was significantly higher for BRAF -mutant melanoma compared with NRAS -mutant and double wild-type melanoma for both immune checkpoint inhibitor regimens., Conclusion: Ipilimumab-nivolumab-treated patients with BRAF -mutant melanoma display improved PFS and OS compared with patients with NRAS -mutant and double wild-type melanoma. BRAF mutation status is a factor to consider while choosing between mono and dual checkpoint inhibition in advanced melanoma.
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- 2022
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42. Local delivery of low-dose anti-CTLA-4 to the melanoma lymphatic basin leads to systemic T reg reduction and effector T cell activation.
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van Pul KM, Notohardjo JCL, Fransen MF, Koster BD, Stam AGM, Chondronasiou D, Lougheed SM, Bakker J, Kandiah V, van den Tol MP, Jooss K, Vuylsteke RJCLM, van den Eertwegh AJM, and de Gruijl TD
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- Antibodies, Monoclonal, Humanized administration & dosage, Humans, Injections, Intradermal adverse effects, Lymphocyte Activation, Sentinel Lymph Node Biopsy, Immunotherapy methods, Lymph Nodes pathology, Melanoma pathology, Melanoma therapy
- Abstract
Preclinical studies show that locoregional CTLA-4 blockade is equally effective in inducing tumor eradication as systemic delivery, without the added risk of immune-related side effects. This efficacy is related to access of the CTLA-4 blocking antibodies to tumor-draining lymph nodes (TDLNs). Local delivery of anti-CTLA-4 after surgical removal of primary melanoma, before sentinel lymph node biopsy (SLNB), provides a unique setting to clinically assess the role of TDLN in the biological efficacy of locoregional CTLA-4 blockade. Here, we have evaluated the safety, tolerability, and immunomodulatory effects in the SLN and peripheral blood of a single dose of tremelimumab [a fully human immunoglobulin gamma-2 (IgG2) mAb directed against CTLA-4] in a dose range of 2 to 20 mg, injected intradermally at the tumor excision site 1 week before SLNB in 13 patients with early-stage melanoma (phase 1 trial; NCT04274816). Intradermal delivery was safe and well tolerated and induced activation of migratory dendritic cell (DC) subsets in the SLN. It also induced profound and durable decreases in regulatory T cell (T
reg ) frequencies and activation of effector T cells in both SLN and peripheral blood. Moreover, systemic T cell responses against NY-ESO-1 or MART-1 were primed or boosted ( N = 7), in association with T cell activation and central memory T cell differentiation. These findings indicate that local administration of anti-CTLA-4 may offer a safe and promising adjuvant treatment strategy for patients with early-stage melanoma. Moreover, our data demonstrate a central role for TDLN in the biological efficacy of CTLA-4 blockade and support TDLN-targeted delivery methods.- Published
- 2022
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43. Being Transparent About Brilliant Failures: An Attempt to Use Real-World Data in a Disease Model for Patients with Castration-Resistant Prostate Cancer.
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Holleman MS, Huygens SA, Al MJ, Kuppen MCP, Westgeest HM, van den Bergh ACM, Bergman AM, van den Eertwegh AJM, Hendriks MP, Lampe MI, Mehra N, van Moorselaar RJA, van Oort IM, Somford DM, de Wit R, van de Wouw AJ, Gerritsen WR, and Groot CAU
- Abstract
Background: Real-world disease models spanning multiple treatment lines can provide insight into the (cost) effectiveness of treatment sequences in clinical practice., Objective: Our objective was to explore whether a disease model based solely on real-world data (RWD) could be used to estimate the effectiveness of treatments for patients with castration-resistant prostate cancer (CRPC) that could then be suitably used in a cost-effectiveness analysis., Methods: We developed a patient-level simulation model using patient-level data from the Dutch CAPRI registry as input parameters. Time to event (TTE) and overall survival (OS) were estimated with multivariate regression models, and type of event (i.e., next treatment or death) was estimated with multivariate logistic regression models. To test internal validity, TTE and OS from the simulation model were compared with the observed outcomes in the registry., Results: Although patient characteristics and survival outcomes of the simulated data were comparable to those in the observed data (median OS 20.6 vs. 19.8 months, respectively), the disease model was less accurate in estimating differences between treatments (median OS simulated vs. observed population: 18.6 vs. 17.9 [abiraterone acetate plus prednisone], 24.0 vs. 25.0 [enzalutamide], 20.2 vs. 18.7 [docetaxel], and 20.0 vs. 23.8 months [radium-223])., Conclusions: Overall, the disease model accurately approximated the observed data in the total CRPC population. However, the disease model was unable to predict differences in survival between treatments due to unobserved differences. Therefore, the model is not suitable for cost-effectiveness analysis of CRPC treatment. Using a combination of RWD and data from randomised controlled trials to estimate treatment effectiveness may improve the model., (© 2022. The Author(s).)
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- 2022
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44. Correction: First-line BRAF/MEK inhibitors versus anti-PD-1 monotherapy in BRAF V600 -mutant advanced melanoma patients: a propensity-matched survival analysis.
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van Breeschoten J, Wouters MWJM, Hilarius DL, Haanen JB, Blank CU, Aarts MJB, van den Berkmortel FWPJ, de Groot JB, Hospers GAP, Kapiteijn E, Piersma D, van Rijn RS, Suijkerbuijk KPM, Blokx WAM, Tije BJT, Veldt AAMV, Vreugdenhil A, Boers-Sonderen MJ, and van den Eertwegh AJM
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- 2022
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45. Response to immune checkpoint inhibitors in acral melanoma: A nationwide cohort study.
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van Not OJ, de Meza MM, van den Eertwegh AJM, Haanen JB, Blank CU, Aarts MJB, van den Berkmortel FWPJ, van Breeschoten J, de Groot JB, Hospers GAP, Ismail RK, Kapiteijn E, Piersma D, van Rijn RS, Stevense-den Boer MAM, van der Veldt AAM, Vreugdenhil G, Bonenkamp HJ, Boers-Sonderen MJ, Blokx WAM, Wouters MWJM, and Suijkerbuijk KPM
- Subjects
- Cohort Studies, Humans, Ipilimumab therapeutic use, Melanoma mortality, Nivolumab adverse effects, Prospective Studies, Melanoma, Cutaneous Malignant, Immune Checkpoint Inhibitors therapeutic use, Skin Neoplasms drug therapy, Skin Neoplasms immunology
- Abstract
Background: Recent reports suggest the limited efficacy of immune checkpoints inhibitors in advanced acral melanoma (AM). This study aims to investigate the clinical outcomes of immune checkpoint inhibitors in patients with stage III and IV AM and compare them to cutaneous melanoma (CM)., Methods: We included patients with advanced AM and CM treated with first-line anti-programmed cell death (PD)-1 monotherapy or ipilimumab-nivolumab registered in the prospective nationwide Dutch Melanoma Treatment Registry. Objective response rates, progression-free survival (PFS) and overall survival (OS) were calculated. A Cox proportional hazard model was used to assess the prognostic factors with PFS and OS., Results: In total, 2058 patients (88 AM and 1970 CM) with advanced melanoma were included. First-line objective response rates were 34% for AM versus 54% for CM in the advanced anti-PD-1 cohort and 33% for AM versus 53% for CM in the advanced ipilimumab-nivolumab cohort. The Median PFS was significantly shorter for anti-PD-1 treated AM patients (3.1 months; 95%CI: 2.8-5.6) than patients with CM (10.1 months; 95%CI: 8.5-12.2) (P < 0.001). In patients with advanced melanoma, AM was significantly associated with a higher risk of progression (HRadj 1.63; 95%CI: 1.26-2.11; P < 0.001) and death (HRadj 1.54; 95%CI: 1.15-2.06; P = 0.004) than CM., Conclusions: This study shows lower effectiveness of anti-PD -1 monotherapy and ipilimumab-nivolumab in AM, with lower response rates, PFS and OS than CM. This group of patients should be prioritised in the development of alternative treatment strategies., Competing Interests: Conflict of interest statement The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: AvdE has advisory relationships with Amgen, Bristol Myers Squibb, Roche, Novartis, MSD, Pierre Fabre, Sanofi, Pfizer, Ipsen, Merck and has received research study grants not related to this paper from Sanofi, Roche, Bristol Myers Squibb, Idera and TEVA and has received travel expenses from MSD Oncology, Roche, Pfizer and Sanofi and has received speaker honoraria from BMS and Novartis. JH has advisory relationships with Achilles Therapeutics, AstraZeneca, Bristol Myers Squibb, BioNTech, Immunocore, Iovance Biotherapeutics, Ipsen, MSD, Merck Serono, Molecular Partners, Novartis, Neogene Therapeutics, Pfizer, PokeAcel, Roche/Genentech, Sanofi, Third Rock Ventures, T-Knife and has received research grants not related to this paper from Asher Bio, Amgen, Bristol Myers Squibb, MSD, BioNTech, Neogene Therapeutics and Novartis. All grants were paid to the institutions. CB has received commercial research grants from Novartis, BristolMyers Squibb, and NanoString; is a paid advisory board member for Bristol Myers Squibb, MSD, Roche, Novartis, GlaxoSmithKline, AstraZeneca, Pfizer, Lilly, GenMab, and Pierre Fabre; and holds ownership interest in Uniti Cars, Neon Therapeutics, and Forty Seven. MA has advisory board/consultancy honoraria from Amgen, Bristol Myers Squibb, Novartis, MSD-Merck, Merck-Pfizer, Pierre Fabre, Sanofi, Astellas, Bayer. Research grants Merck-Pfizer. Not related to current work and paid to institute. JdG has consultancy/advisory relationships with Bristol Myers Squibb, Pierre Fabre, Servier, MSD, Novartis. GH consultancy/advisory relationships with Amgen, Bristol Myers Squibb, Roche, MSD, Pfizer, Novartis, Pierre Fabre and has received research grants not related to this paper from Bristol Myers Squibb, Seerave and were paid to the institution. EK has consultancy/advisory relationships with Bristol Myers Squibb, Novartis, Merck, Pierre Fabre, Lilly and Bayer, and received research grants not related to this paper from Bristol Myers Squibb. RvR has advisory board/consultancy honoraria from Pfizer and an expert meeting fee from Roche. AvdV has consultancy relationships with Bristol Myers Squibb, MSD, Roche, Novartis, Pierre Fabre, Pfizer, Sanofi, Ipsen, Eisai, Merck. MBS has consultancy/advisory relationships with Pierre Fabre, MSD and Novartis. KS has advisory relationships with Bristol Myers Squibb, Novartis, MSD, Pierre Fabre, AbbVie and received honoraria from Novartis, MSD and Roche. All remaining authors have declared no conflicts of interest., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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46. Prognostic and predictive value of β-blockers in the EORTC 1325/KEYNOTE-054 phase III trial of pembrolizumab versus placebo in resected high-risk stage III melanoma.
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Kennedy OJ, Kicinski M, Valpione S, Gandini S, Suciu S, Blank CU, Long GV, Atkinson VG, Dalle S, Haydon AM, Meshcheryakov A, Khattak A, Carlino MS, Sandhu S, Larkin J, Puig S, Ascierto PA, Rutkowski P, Schadendorf D, Koornstra R, Hernandez-Aya L, Di Giacomo AM, van den Eertwegh AJM, Grob JJ, Gutzmer R, Jamal R, van Akkooi ACJ, Robert C, Eggermont AMM, Lorigan P, and Mandala M
- Subjects
- Adjuvants, Immunologic therapeutic use, Adrenergic beta-Antagonists therapeutic use, Antibodies, Monoclonal, Humanized therapeutic use, Humans, Neoplasm Staging, Prognosis, Tumor Microenvironment, Melanoma, Cutaneous Malignant, Melanoma drug therapy, Melanoma pathology, Melanoma surgery, Skin Neoplasms drug therapy, Skin Neoplasms pathology, Skin Neoplasms surgery
- Abstract
Background: β-adrenergic receptors are upregulated in melanoma cells and contribute to an immunosuppressive, pro-tumorigenic microenvironment. This study investigated the prognostic and predictive value of β-adrenoreceptor blockade by β-blockers in the EORTC1325/KEYNOTE-054 randomised controlled trial., Methods: Patients with resected stage IIIA, IIIB or IIIC melanoma and regional lymphadenectomy received 200 mg of adjuvant pembrolizumab (n = 514) or placebo (n = 505) every three weeks for one year or until recurrence or unacceptable toxicity. At a median follow-up of 3 years, pembrolizumab prolonged recurrence-free survival (RFS) compared to placebo (hazard ratio (HR) 0.56, 95% confidence interval (CI) 0.47-0.68). β-blocker use was defined as oral administration of any β-blocker within 30 days of randomisation. A multivariable Cox proportional hazard model was used to estimate the HR for the association between the use of β-blockers and RFS., Results: Ninety-nine (10%) of 1019 randomised patients used β-blockers at baseline. β-blockers had no independent prognostic effect on RFS: HR 0.96 (95% CI 0.70-1.31). The HRs of RFS associated with β-blocker use were 0.67 (95% CI 0.38-1.19) in the pembrolizumab arm and 1.15 (95% CI 0.80-1.66) in the placebo arm. The HR of RFS associated with pembrolizumab compared to placebo was 0.34 (95% CI 0.18-0.65) among β-blocker users and 0.59 (95% CI 0.48-0.71) among those not using β-blockers., Conclusions: This study suggests no prognostic effect of β-blockers in resected high-risk stage III melanoma. However, β-blockers may predict improved efficacy of adjuvant pembrolizumab treatment. The combination of immunotherapy with β-blockers merits further investigation. This study is registered with ClinicalTrials.gov, NCT02362594, and EudraCT, 2014-004944-37., Competing Interests: Conflict of interest statement Alexander Eggermont Consulting fees: Agenus, Biocad, BioInvent, BioNTech, BMS, CatalYm, Ellipses, Galecto, GSK, IO Biotech, ISA Pharmaceuticals, Merck/MSD, Nektar, Novartis, Pfizer, SAiRoPA, Sellas, SkylineDx, TigaTx, TTxDiscovery. Payment or honoraria: Biocad, BMS, Merck/MSD. Participation on a Data Safety Monitoring Board or Advisory Board: GSK, Novartis and Pfizer. Leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid: European Academy Cancer Sciences German Cancer Aid. Stock or stock options: SkylineDx and SAiRoPA. Rutger Koornstra Grants or contracts from any entity: Roche. Leonel Hernandez-Aya Grants or contracts from any entity: Bristol Myers Squibb, Regeneron Pharmaceuticals, Immunocore, Merck, Polynoma, Corvus Pharmaceuticals, Roche, Genentech, Merck Serono, Amgen, MedImmune, Takeda Pharmaceuticals, Moderna Therapeutics. Consulting fees: Massive Bio, Bristol Myers Squibb - Advisory Board. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Sanofi, Regeneron Pharmaceuticals - Speakers bureau. Support for attending meetings and/or travel: Sanofi, Regeneron Pharmaceuticals, Bristol Myers Squibb. Anna Maria di Giacomo Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: BMS, MSD, Pierre Fabre, Sanofi. Support for attending meetings and/or travel: BMS, Pierre Fabre. Participation on a Data Safety Monitoring Board or Advisory Board: BMS, MSD, Nektar, Pierre Fabre, Sanofi, GSK, Novartis. Alfonsus J.M. van den Eertwegh Grants or contracts from any entity: Roche, Sanofi, Bristol Myers Squibb. Consulting fees: Bristol Myers Squibb. Support for attending meetings and/or travel: MSD Oncology, Roche, Pfizer, Sanofi. Participation on a Data Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, MSD Oncology, Amgen, Roche, Novartis, Sanofi, Pfizer, Ipsen, Merck, Pierre Fabre. Jean-Jacques Grob Consulting fees: Bristol Myers Squibb, MSD Oncology, Roche/Genentech, Novartis, Amgen, Pierre Fabre, Sun Pharma, Merck KGaA, Sanofi, Pfizer, Roche. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Novartis - Speakers bureau. Support for attending meetings and/or travel: BMS, MSD Oncology, Novartis, Pierre Fabre. Ralf Gutzmer Grants or contracts from any entity: Pfizer, Novartis, Johnson & Johnson, Amgen, Merck Serono, Sun Pharma Industries, Sanofi. Consulting fees: Bristol Myers Squibb, Merck Sharp & Dohme, Roche, Genentech, Novartis, Merck Serono, Almirall, Amgen, Sun Pharma Industries, Pierre Fabre, Sanofi, Regeneron Pharmaceuticals, Bayer AG, Immunocore. Support for attending meetings and/or travel: Bristol Myers Squibb, Roche, Merck Serono, Pierre Fabre, Sun Pharma Industries. Rahima Jamal Grants or contracts from any entity: Merck Sharp & Dohme, Bristol Myers Squibb. Caroline Robert Consulting fees: ROCHE, NOVARTIS, PIERRE FABRE, MSD, BMS, SANOFI, PFIZER, AstraZeneca. Oliver John Kennedy None declared. Paul Lorigan Grants or contracts from any entity: BMS, Pierre Fabre. Consulting fees: BMS, Merck, GSK. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Pierre Fabre, Novartis, MSD, BMS. Support for attending meetings and/or travel: BMS, Support to attend ASCO, MSD - Support to attend ASCO. Mario Mandalà Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: BMS, MSD, NOVARTIS, PIERRE FABRE, SANOFI. Participation on a Data. Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, MSD Oncology, Novartis, Pierre Fabre - Advisory Boards. Michal Kicinski All support for the present manuscript: Merck - Merck is the sponsor of the study (money paid to my institution). Grants or contracts from any entity: Pierre Fabre - Sponsor and provider of an academic grant for different melanoma studies (money paid to my institution), BMS - Sponsor and provider of an academic grant for different melanoma studies (money paid to my institution). Stefan Suciu All support for the present manuscript: Merck - Merck is the sponsor of the study (money paid to my institution). Grants or contracts from any entity: BMS, Pierre-Fabre - Sponsor and provider of academic grants to other EORTC melanoma studies; payments were made to my institution. Sara Valpione None declared. Sara Gandini None declared. Christian Blank Grants or contracts from any entity: BMS, Novartis, NanoString, and 4SC. Consulting fees: BMS, MSD, Roche, Novartis, Lilly, Pfizer, GSK, GenMab and Pierre Fabre - Payments were made to my institution, Third Rock Venture - Payments were made to me. Stock or stock options: Unity Cars – Stocks, Immagene BV – Co-founder. Alexander C.J. van Akkooi Grants or contracts from any entity: Amgen, Merck-Pfizer. Participation on a Data Safety Monitoring Board or Advisory Board: Amgen, Bristol-Myers Squibb, Novartis, MSD-Merck, Merck-Pfizer, Pierre Fabre, Sanofi, Sirius Medical, 4SC. Georgina V Long Consulting fees: GVL is consultant advisor for Aduro Biotech Inc, Amgen Inc, Array Biopharma inc, Boehringer Ingelheim International GmbH, Bristol-Myers Squibb, Hexel AG, Highlight Therapeutics S.L., Merck Sharpe & Dohme, Novartis Pharma AG, OncoSec, Pierre Fabre, QBiotics Group Limited, Regeneron Pharmaceuticals Inc, Specialised Therapeutics Australia Pty Ltd. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Bristol Myers Squibb - Personal 1 h lecture of my own slides, Pierre Fabre, Personal 1 h lecture of my own slides. Participation on a Data: Safety Monitoring Board or Advisory Board: See consulting fees, All for advisory boards. Victoria Atkinson Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Bristol Myers Squibb, MSD, Nektar, Novartis, Pierre Fabre, Q Biotics, Roche, Limbic - Advisory boards, Bristol Myers Squibb, MSD, Novartis, Pierre Fabre- Speakers bureaus fees. Support for attending meetings and/or travel: BMS, Travel support. Participation on a Data Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, MSD, Nektar, Novartis, Pierre Fabre, Q Biotics, Roche, Limbic - Advisory boards. Stephane Dalle Grants or contracts from any entity: Bristol Myers Squibb, Merck Sharp & Dohme - My Institution. Support for attending meetings and/or travel: Bristol Myers Squibb, Pierre Fabre, Merck Sharp & Dohme. Other financial or non-financial interests: Sanofi Pasteur - My wife is an employee of Sanofi Pasteur. Andrew M. Haydon Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Novartis, Merck - Honoraria for lectures, presentations, speakers bureaus. Participation on a Data Safety Monitoring Board or Advisory Board: Novartis, Pierre Fabre, Merck Sharp & Dohme - Advisory Boards. Andrey Meshcheryakov Grants or contracts from any entity: Sanofi, AstraZeneca, Merck Sharp & Dohme - My institution, me. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Amgen, Bayer AG, BIOCAD, Bristol Myers Squibb, Eli Lilly, Merck, SERVIER, Takeda Pharmaceuticals, Eisai, AstraZeneca, Sanofi-Aventis - Honoraria for lectures, presentations, speakers bureaus. Support for attending meetings and/or travel: BIOCAD, SERVIER, Merck Sharp & Dohme, Sanofi-Aventis, Merck - Attending meetings and/or travel. Participation on a Data Safety Monitoring Board or Advisory Board: Amgen, Bayer AG, BIOCAD, Bristol Myers Squibb, Eli Lilly, Merck, SERVIER, Takeda Pharmaceuticals, Eisai, AstraZeneca, Sanofi-Aventis - Advisory Board. Adnan Khattak None declared. Matteo S. Carlino Payment or honoraria for lectures, presentations, speakers bureauads, manuscript writing or educational events: Bristol Myers Squibb, MSD, Novartis - Honoraria for lectures, presentations, speakers bureaus. Participation on a Data Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, MSD, Amgen, Novartis, Pierre Fabre, Roche, IDEAYA Biosciences, Sanofi, Merck Serono, Regeneron Pharmaceuticals, QBiotics, Nektar, Eisai - Advisory Board. Shahneen Sandhu Grants or contracts from any entity: Advanced Accelerators Applications (a Novartis company), Amgen, Merck Sharp & Dohme, Merck Serono, Genentech, AstraZeneca - Funding to the institution. Consulting fees: Amgen, Merck Sharp & Dohme, Merck Serono, AstraZeneca, Bristol Myer Squibb - Funding to the institution. James Larkin Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Eisai, Novartis, Incyte, Merck, touchIME, touchEXPERTS, Pfizer, Royal College of Physicians, Cambridge Healthcare research, Royal College of General Practitioners, VJOncology, Agence Unik, Bristol Myers Squibb - Honoraria for lectures, presentations. Participation on a Data Safety Monitoring Board or Advisory Board: Pierre Fabre, BMS, Ipsen, Roche, EUSA Pharma, Novartis, Aptitude, AstraZeneca, GSK, Eisai, Calithera, Ultimovacs, Seagen, Merck, eCancer, MCA, Inselgruppe, Pfizer, Goldman Sachs, MSD - Advisory Board. Susana Puig Grants or contracts from any entity: Almirall - To My Institution, ISDIN - To My Institution, La Roche Posay - To My Institution. Consulting fees: ISDIN, Almirall, La Rohe Posay - To Me, Sanofy, Sunpharma - To Me, Pfizer, Roche, Regeneron - To Me. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: ISDIN, La Roche Posay - To Me, Pfizer, Roche, Regeneron - To Me, BMS, Sunpharma - TO ME. Support for attending meetings and/or travel: Almirall - TO ME. Participation on a Data Safety Monitoring Board or Advisory Board: Roche, Sanofy - To Me, Sunpharma, Almirall - To Me, ISDIN, Pfzer, Novartis - TO ME. Paolo A. Ascierto Grants or contracts from any entity: Bristol Myers Squibb, Roche, Genentech, Array BioPharma - To my institution. Consulting fees: Bristol Myers Squibb, Roche, Genentech, Merck Sharp & Dohme, Novartis, Array BioPharma, Merck Serono, Pierre Fabre, Incyte, MedImmune, AstraZeneca, Sun Pharma Industries, Sanofi, Idera, Ultimovacs, Sandoz, Immunocore, 4SC, Alkermes, Italfarmaco, Nektar, Boehringer Ingelheim, Eisai, Regeneron Pharmaceuticals - To me. Participation on a Data Safety Monitoring Board or Advisory Board: Bristol Myers Squibb, Roche, Genentech, Merck - Advisory Board. Sharp & Dohme, Novartis, Array BioPharma, Merck Serono, Pierre Fabre, Incyte, MedImmune, AstraZeneca, Sun Pharma Industries, Sanofi, Idera, Ultimovacs, Sandoz, Immunocore, 4SC, Alkermes, Italfarmaco, Nektar, Boehringer Ingelheim, Eisai, Regeneron Pharmaceuticals - To me. Piotr Rutkowski Grants or contracts from any entity: Novartis, Roche, Bristol Myers Squibb - My institution. Consulting fees: Bristol Myers Squibb, MSD, Novartis, Roche, Eli Lilly, Pfizer, Pierre. Fabre - Advisory Role - Personal fees. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Novartis, Blueprint Medicines, Bristol Myers Squibb, Pierre Fabre, MSD, Amgen - Advisory boards, To me, Pfizer, Novartis, Eli Lilly - speakers bureaus. Participation on a Data Safety Monitoring Board or Advisory Board: See above - Advisory Board. Dirk Schadendorf Grants or contracts from any entit: Bristol Myers Squibb, Novartis, Roche, MSD Oncology, Array BioPharma/Pfizer. Consulting fees: Roche/Genentech, Novartis, Bristol Myers Squibb, Merck Sharp & Dohme, Immunocore, Merck Serono, Array BioPharna, Pfizer, Pierre Fabre, Philogen, Regeneron, 4SC, Sanofi/Regeneron, NeraCare GmbH, Sun Pharma, InflarxGmbH, Ultimovacs, Sandoz. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events: Bristol Myers Squibb, Merck Sharp & Dohme, Novartis, Pierre Fabre, Sanofi/Regeneron, Merck KGaA - speakers bureaus. Support for attending meetings and/or travel: Roche/Genentech, Bristol Myers Squibb, Merck Serono, Novartis, Merck Sharp & Dohme, Pierre Fabre, Sanofi/Regeneron. Participation on a Data Safety Monitoring Board or Advisory Board: Roche/Genentech, Novartis, Bristol Myers Squibb, Merck Sharp & Dohme, Merck Serono, 4SC, Pierre Fabre, Sanofi/Regeneron, Nektar - Advisory Board., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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- 2022
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47. The unfavorable effects of COVID-19 on Dutch advanced melanoma care.
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van Not OJ, van Breeschoten J, van den Eertwegh AJM, Hilarius DL, De Meza MM, Haanen JB, Blank CU, Aarts MJB, van den Berkmortel FWPJ, de Groot JWB, Hospers GAP, Ismail RK, Kapiteijn E, Piersma D, van Rijn RS, Stevense-den Boer MAM, van der Veldt AAM, Vreugdenhil G, Boers-Sonderen MJ, Blokx WAM, Suijkerbuijk KPM, and Wouters MWJM
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Netherlands, SARS-CoV-2, COVID-19 complications, Melanoma complications, Skin Neoplasms complications
- Abstract
The COVID-19 pandemic had a severe impact on medical care. Our study aims to investigate the impact of COVID-19 on advanced melanoma care in the Netherlands. We selected patients diagnosed with irresectable stage IIIc and IV melanoma during the first and second COVID-19 wave and compared them with patients diagnosed within the same time frame in 2018 and 2019. Patients were divided into three geographical regions. We investigated baseline characteristics, time from diagnosis until start of systemic therapy and postponement of anti-PD-1 courses. During both waves, fewer patients were diagnosed compared to the control groups. During the first wave, time between diagnosis and start of treatment was significantly longer in the southern region compared to other regions (33 vs 9 and 15 days, P-value <.05). Anti-PD-1 courses were postponed in 20.0% vs 3.0% of patients in the first wave compared to the control period. Significantly more patients had courses postponed in the south during the first wave compared to other regions (34.8% vs 11.5% vs 22.3%, P-value <.001). Significantly more patients diagnosed during the second wave had brain metastases and worse performance status compared to the control period. In conclusion, advanced melanoma care in the Netherlands was severely affected by the COVID-19 pandemic. In the south, the start of systemic treatment for advanced melanoma was more often delayed, and treatment courses were more frequently postponed. During the second wave, patients were diagnosed with poorer patient and tumor characteristics. Longer follow-up is needed to establish the impact on patient outcomes., (© 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2022
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