155 results on '"A, Terragna"'
Search Results
2. Single-Cell DNA Sequencing Reveals an Evolutionary Pattern of CHIP in Transplant Eligible Multiple Myeloma Patients
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Enrica Borsi, Ilaria Vigliotta, Andrea Poletti, Gaia Mazzocchetti, Vincenza Solli, Luca Zazzeroni, Marina Martello, Silvia Armuzzi, Barbara Taurisano, Ajsi Kanapari, Ignazia Pistis, Elena Zamagni, Lucia Pantani, Serena Rocchi, Katia Mancuso, Paola Tacchetti, Ilaria Rizzello, Simonetta Rizzi, Elisa Dan, Barbara Sinigaglia, Michele Cavo, and Carolina Terragna
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clonal hematopoiesis of indeterminate potential (CHIP) ,single-cell DNA sequencing ,stem cells ,multiple myeloma ,Cytology ,QH573-671 - Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) refers to the phenomenon where a hematopoietic stem cell acquires fitness-increasing mutation(s), resulting in its clonal expansion. CHIP is frequently observed in multiple myeloma (MM) patients, and it is associated with a worse outcome. High-throughput amplicon-based single-cell DNA sequencing was performed on circulating CD34+ cells collected from twelve MM patients before autologous stem cell transplantation (ASCT). Moreover, in four MM patients, longitudinal samples either before or post-ASCT were collected. Single-cell sequencing and data analysis were assessed using the MissionBio Tapestri® platform, with a targeted panel of 20 leukemia-associated genes. We detected CHIP pathogenic mutations in 6/12 patients (50%) at the time of transplant. The most frequently mutated genes were TET2, EZH2, KIT, DNMT3A, and ASXL1. In two patients, we observed co-occurring mutations involving an epigenetic modifier (i.e., DNMT3A) and/or a gene involved in splicing machinery (i.e., SF3B1) and/or a tyrosine kinase receptor (i.e., KIT) in the same clone. Longitudinal analysis of paired samples revealed a positive selection of mutant high-fitness clones over time, regardless of their affinity with a major or minor sub-clone. Copy number analysis of the panel of all genes did not show any numerical alterations present in stem cell compartment. Moreover, we observed a tendency of CHIP-positive patients to achieve a suboptimal response to therapy compared to those without. A sub-clone dynamic of high-fitness mutations over time was confirmed.
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- 2024
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3. Editorial: Risk factors in multiple myeloma identified before and during treatment: are we ready to personalize treatment?
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Mattia D’Agostino, Carolina Terragna, and Mark van Duin
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multiple myeloma ,prognosis ,risk assessment ,minimal residual disease ,liquid biopsy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2023
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4. Long term follow-up of humoral and cellular response to mRNA-based vaccines for SARS-CoV-2 in patients with active multiple myeloma
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Katia Mancuso, Elena Zamagni, Vincenza Solli, Liliana Gabrielli, Marta Leone, Lucia Pantani, Serena Rocchi, Ilaria Rizzello, Paola Tacchetti, Stefano Ghibellini, Emanuele Favero, Margherita Ursi, Marco Talarico, Simona Barbato, Ajsi Kanapari, Flavia Bigi, Michele Puppi, Carolina Terragna, Enrica Borsi, Marina Martello, Andrea Poletti, Alessandra Scatà, Giuliana Nepoti, Barbara Ruffini, Tiziana Lazzarotto, and Michele Cavo
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multiple myeloma ,SARS-CoV-2 ,mRNA-vaccines ,immunogenicity ,humoral response ,cellular response ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Long-term kinetics of antibody (Ab) and cell-mediated immune (CMI) response to full anti-SARS-CoV-2 vaccine schedule and booster doses in Multiple Myeloma (MM) patients remain unclear. We prospectively evaluated Ab and CMI response to mRNA vaccines in 103 SARS-CoV-2-naïve MM patients (median age 66, 1 median prior line of therapy) and 63 health-workers. Anti-S-RBD IgG (Elecsys®assay) were measured before vaccination and after 1 (T1), 3 (T3), 6 (T6), 9 (T9) and 12 (T12) months from second dose (D2) and 1 month after the introduction of the booster dose (T1D3). CMI response (IGRA test) was evaluated at T3 and T12. Fully vaccinated MM patients displayed high seropositivity rate (88.2%), but low CMI response (36.2%). At T6 the median serological titer was halved (p=0.0391) in MM patients and 35% reduced (p=0.0026) in controls. D3 (94 patients) increased the seroconversion rate to 99% in MM patients and the median IgG titer in both groups (up to 2500 U/mL), maintained at T12. 47% of MM patients displayed a positive CMI at T12 and double-negativity for humoral and CMI (9.6% at T3) decreased to 1%. Anti-S-RBD IgG level ≥346 U/mL showed 20-times higher probability of positive CMI response (OR 20.6, p
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- 2023
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5. BoBafit: A copy number clustering tool designed to refit and recalibrate the baseline region of tumors’ profiles
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G. Mazzocchetti, A. Poletti, V. Solli, E. Borsi, M. Martello, I. Vigliotta, S. Armuzzi, B. Taurisano, E. Zamagni, M. Cavo, and C. Terragna
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Copy number alteration ,Clustering methods ,Multiple myeloma ,Breast cancer ,Bioinformatic pipeline ,Data correction ,Biotechnology ,TP248.13-248.65 - Abstract
Human cancer arises from a population of cells that have acquired a wide range of genetic alterations, most of which are targets of therapeutic treatments or are used as prognostic factors for patient’s risk stratification. Among these, copy number alterations (CNAs) are quite frequent. Currently, several molecular biology technologies, such as microarrays, NGS and single-cell approaches are used to define the genomic profile of tumor samples. Output data need to be analyzed with bioinformatic approaches and particularly by employing computational algorithms.Molecular biology tools estimate the baseline region by comparing either the mean probe signals, or the number of reads to the reference genome. However, when tumors display complex karyotypes, this type of approach could fail the baseline region estimation and consequently cause errors in the CNAs call. To overcome this issue, we designed an R-package, BoBafit, able to check and, eventually, to adjust the baseline region, according to both the tumor-specific alterations’ context and the sample-specific clustered genomic lesions.Several databases have been chosen to set up and validate the designed package, thus demonstrating the potential of BoBafit to adjust copy number (CN) data from different tumors and analysis techniques.Relevantly, the analysis highlighted that up to 25% of samples need a baseline region adjustment and a redefinition of CNAs calls, thus causing a change in the prognostic risk classification of the patients.We support the implementation of BoBafit within CN analysis bioinformatics pipelines to ensure a correct patient’s stratification in risk categories, regardless of the tumor type.
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- 2022
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6. The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases
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Ilaria Vigliotta, Silvia Armuzzi, Martina Barone, Vincenza Solli, Ignazia Pistis, Enrica Borsi, Barbara Taurisano, Gaia Mazzocchetti, Marina Martello, Andrea Poletti, Chiara Sartor, Ilaria Rizzello, Lucia Pantani, Paola Tacchetti, Cristina Papayannidis, Katia Mancuso, Serena Rocchi, Elena Zamagni, Antonio Curti, Mario Arpinati, Michele Cavo, and Carolina Terragna
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minimal residual disease ,multiple myeloma ,acute lymphoblastic leukemia ,hemodilution ,hemodilution/methods ,flow cytometry ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
IntroductionMinimal residual disease (MRD) is commonly assessed in bone marrow (BM) aspirate. However, sample quality can impair the MRD measurement, leading to underestimated residual cells and to false negative results. To define a reliable and reproducible method for the assessment of BM hemodilution, several flow cytometry (FC) strategies for hemodilution evaluation have been compared.MethodsFor each BM sample, cells populations with a well-known distribution in BM and peripheral blood - e.g., mast cells (MC), immature (IG) and mature granulocytes (N) – have been studied by FC and quantified alongside the BM differential count.ResultsThe frequencies of cells’ populations were correlated to the IG/N ratio, highlighting a mild correlation with MCs and erythroblasts (R=0.25 and R=0.38 respectively, with p-value=0.0006 and 0.0000052), whereas no significant correlation was found with B or T-cells. The mild correlation between IG/N, erythroblasts and MCs supported the combined use of these parameters to evaluate BM hemodilution, hence the optimization of the ALLgorithMM. Once validated, the ALLgorithMM was employed to evaluate the dilution status of BM samples in the context of MRD assessment. Overall, we found that 32% of FC and 52% of Next Generation Sequencing (NGS) analyses were MRD negative in samples resulted hemodiluted (HD) or at least mildly hemodiluted (mHD).ConclusionsThe high frequency of MRD-negative results in both HD and mHD samples implies the presence of possible false negative MRD measurements, impairing the correct assessment of patients’ response to therapy and highlighs the importance to evaluate BM hemodilution.
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- 2022
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7. Drug resistance in multiple myeloma: Soldiers and weapons in the bone marrow niche
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Antonio Giovanni Solimando, Eleonora Malerba, Patrizia Leone, Marcella Prete, Carolina Terragna, Michele Cavo, and Vito Racanelli
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multiple myeloma ,drug resistance ,bone marrow microenvironment ,monoclonal gammopathy of undetermined significance ,therapeutic targets ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Multiple myeloma (MM) is still an incurable disease, despite considerable improvements in treatment strategies, as resistance to most currently available agents is not uncommon. In this study, data on drug resistance in MM were analyzed and led to the following conclusions: resistance occurs via intrinsic and extrinsic mechanisms, including intraclonal heterogeneity, drug efflux pumps, alterations of drug targets, the inhibition of apoptosis, increased DNA repair and interactions with the bone marrow (BM) microenvironment, cell adhesion, and the release of soluble factors. Since MM involves the BM, interactions in the MM-BM microenvironment were examined as well, with a focus on the cross-talk between BM stromal cells (BMSCs), adipocytes, osteoclasts, osteoblasts, endothelial cells, and immune cells. Given the complex mechanisms that drive MM, next-generation treatment strategies that avoid drug resistance must target both the neoplastic clone and its non-malignant environment. Possible approaches based on recent evidence include: (i) proteasome and histone deacetylases inhibitors that not only target MM but also act on BMSCs and osteoclasts; (ii) novel peptide drug conjugates that target both the MM malignant clone and angiogenesis to unleash an effective anti-MM immune response. Finally, the role of cancer stem cells in MM is unknown but given their roles in the development of solid and hematological malignancies, cancer relapse, and drug resistance, their identification and description are of paramount importance for MM management.
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- 2022
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8. Circulating Multiple Myeloma Cells (CMMCs) as Prognostic and Predictive Markers in Multiple Myeloma and Smouldering MM Patients.
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Vigliotta, Ilaria, Solli, Vincenza, Armuzzi, Silvia, Martello, Marina, Poletti, Andrea, Taurisano, Barbara, Pistis, Ignazia, Mazzocchetti, Gaia, Borsi, Enrica, Pantani, Lucia, Marzocchi, Giulia, Testoni, Nicoletta, Zamagni, Elena, Terracciano, Mario, Tononi, Paola, Garonzi, Marianna, Ferrarini, Alberto, Manaresi, Nicolò, Cavo, Michele, and Terragna, Carolina
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MULTIPLE myeloma diagnosis ,MULTIPLE myeloma ,PREDICTIVE tests ,RESEARCH funding ,QUESTIONNAIRES ,TUMOR markers ,CANCER patients ,BODY fluid examination ,MONOCLONAL gammopathies ,SEQUENCE analysis - Abstract
Simple Summary: Although liquid biopsy has emerged as a viable substitute, bone marrow (BM) is still the gold standard for the diagnosis and follow-up of patients with multiple myeloma (MM) and smouldering MM (SMM). The potential involvement of circulating MM cells (CMMCs), counted via CELLSEARCH
® , in monitoring disease dynamics was assessed by measuring them during treatment and correlating the results with the prognoses of the patients. For MM and SMM patients, the median numbers of CMMCs counted at diagnosis were 349 (1 to 39,940) and 327 (range 22–2463), respectively. Among SMM patients, higher CMMCs were associated with a greater propensity to evolve (p = 0.042). The CMMC counts in the MM patients showed a significant correlation (p < 0.04) with serum albumin and monoclonal component concentration. Under therapy, CMMCs were consistently detectable in 15/40 patients (coMMstant = 1), and correlated with lower responses (p = 0.04) and survival probability (p = 0.047), suggesting that CMMC persistence is linked to poor prognoses. In recent years, liquid biopsy has emerged as a promising alternative to the bone marrow (BM) examination, since it is a minimally invasive technique allowing serial monitoring. Circulating multiple myeloma cells (CMMCs) enumerated using CELLSEARCH® were correlated with patients' prognosis and measured under treatment to assess their role in monitoring disease dynamics. Forty-four MM and seven smouldering MM (SMM) patients were studied. The CMMC medians at diagnosis were 349 (1 to 39,940) and 327 (range 22–2463) for MM and SMM, respectively. In the MM patients, the CMMC count was correlated with serum albumin, calcium, β2-microglobulin, and monoclonal components (p < 0.04). Under therapy, the CMMCs were consistently detectable in 15/40 patients (coMMstant = 1) and were undetectable or decreasing in 25/40 patients (coMMstant = 0). High-quality response rates were lower in the coMMstant = 1 group (p = 0.04), with a 7.8-fold higher risk of death (p = 0.039), suggesting that continuous CMMC release is correlated with poor responses. In four MM patients, a single-cell DNA sequencing analysis on residual CMMCs confirmed the genomic pattern of the aberrations observed in the BM samples, also highlighting the presence of emerging clones. The CMMC kinetics during treatment were used to separate the patients into two subgroups based on the coMMstant index, with different responses and survival probabilities, providing evidence that CMMC persistence is associated with a poor disease course. [ABSTRACT FROM AUTHOR]- Published
- 2024
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9. Unraveling the Role of Peroxisome Proliferator-Activated Receptor β/Δ (PPAR β/Δ) in Angiogenesis Associated with Multiple Myeloma
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Patrizia Leone, Antonio Giovanni Solimando, Marcella Prete, Eleonora Malerba, Nicola Susca, Afshin Derakhshani, Paolo Ditonno, Carolina Terragna, Michele Cavo, Nicola Silvestris, and Vito Racanelli
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multiple myeloma ,MGUS ,angiogenesis ,tumor progression ,PPAR β/δ ,Cytology ,QH573-671 - Abstract
Growing evidence suggests a role for peroxisome proliferator-activated receptor β/δ (PPAR β/δ) in the angiogenesis, growth, and metastasis of solid tumors, but little is known about its role in multiple myeloma (MM). Angiogenesis in the bone marrow (BM) is characteristic of disease transition from monoclonal gammopathy of undetermined significance (MGUS) to MM. We examined the expression and function of PPAR β/δ in endothelial cells (EC) from the BM of MGUS (MGEC) and MM (MMEC) patients and showed that PPAR β/δ was expressed at higher levels in MMEC than in MGEC and that the overexpression depended on myeloma plasma cells. The interaction between myeloma plasma cells and MMEC promoted the release of the PPAR β/δ ligand prostaglandin I2 (PGI2) by MMEC, leading to the activation of PPAR β/δ. We also demonstrated that PPAR β/δ was a strong stimulator of angiogenesis in vitro and that PPAR β/δ inhibition by a specific antagonist greatly impaired the angiogenic functions of MMEC. These findings define PGI2-PPAR β/δ signaling in EC as a potential target of anti-angiogenic therapy. They also sustain the use of PPAR β/δ inhibitors in association with conventional drugs as a new therapeutic approach in MM.
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- 2023
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10. Role of serum‐free light chain assay for defining response and progression in immunoglobulin secretory multiple myeloma
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Paola Tacchetti, Serena Rocchi, Elena Zamagni, Simona Barbato, Ilaria Rizzello, Gabriella De Cicco, Lucia Pantani, Katia Mancuso, Alessio Fusco, Luca Dozza, Margherita Ursi, Emanuele Favero, Carolina Terragna, Nicoletta Testoni, Michele Cavo, Tacchetti P., Rocchi S., Zamagni E., Barbato S., Rizzello I., De Cicco G., Pantani L., Mancuso K., Fusco A., Dozza L., Ursi M., Favero E., Terragna C., Testoni N., and Cavo M.
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serum-free light chain, response, progression, multiple myeloma ,Humans ,Immunoglobulin Light Chains ,Hematology ,Multiple Myeloma ,Prognosis ,Retrospective Studies - Abstract
The International Myeloma Working Group (IMWG) guidelines recommend using electrophoresis and immunofixation to define response and progressive disease (PD) in immunoglobulin (Ig) secretory multiple myeloma (Ig-MM), whereas the role of serum-free light chain (sFLC) is controversial. We retrospectively analyzed the value of adding sFLC assays in the definition of response and PD according to IMWG criteria in 339 Ig-MM patients treated with a first-line novel agent-based therapy (median follow-up 54 months). sFLC PD was defined according to conventional criteria plus increased sFLC levels, or sFLC escape (sFLCe); progression/sFLCe-free survival (ePFS) was the time from the start of treatment to the date of first PD or sFLCe, or death; overall survival after PD/sFLCe (OS after Pe) was the time from first PD or sFLCe to the date of death. 148 (44%) patients achieved a complete response and 198 (60%) a normal sFLC ratio (sFLCR). sFLCR normalization was an independent prognostic factor for extended PFS (HR=0.46, p=0.001) and OS (HR=0.47, p=0.006) by multivariable analysis. 175 (52%) patients experienced PD according to the IMWG criteria, whereas 180 (53%) experienced PD or sFLCe. Overall, a sFLCe was observed in 31 (9%) patients. Median PFS and ePFS were both equal to 36 (95% CI=32–42, and 32–40, respectively) months. sFLC PD adversely affected the OS after Pe compared to PD with increasing monoclonal Ig only (HR=0.52, p=0.012). Our results support the inclusion of the sFLC assay for defining response and PD in Ig-MM.
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- 2022
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11. Targeting the Endothelin-1 Receptors Curtails Tumor Growth and Angiogenesis in Multiple Myeloma
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Anna Russignan, Giada Dal Collo, Anna Bagnato, Nicola Tamassia, Mattia Bugatti, Mirella Belleri, Luisa Lorenzi, Enrica Borsi, Riccardo Bazzoni, Michele Gottardi, Carolina Terragna, William Vermi, Arianna Giacomini, Marco Presta, Marco Antonio Cassatella, Mauro Krampera, and Cristina Tecchio
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multiple myeloma ,endothelin-1 axis ,macitentan ,HIF-1α ,angiogenesis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
The endothelin-1 (ET-1) receptors were recently found to mediate pro-survival functions in multiple myeloma (MM) cells in response to autocrine ET-1. This study investigated the effectiveness of macitentan, a dual ET-1 receptor antagonist, in MM treatment, and the mechanisms underlying its activities. Macitentan affected significantly MM cell (RPMI-8226, U266, KMS-12-PE) survival and pro-angiogenic cytokine release by down-modulating ET-1-activated MAPK/ERK and HIF-1α pathways, respectively. HIF-1α silencing abrogated the ET-1 mediated induction of genes encoding for pro-angiogenic cytokines such as VEGF-A, IL-8, Adrenomedullin, and ET-1 itself. Upon exposure to macitentan, MM cells cultured in the presence of the hypoxia-mimetic agent CoCl2, exogenous ET-1, or CoCl2 plus ET-1, down-regulated HIF-1α and the transcription and release of downstream pro-angiogenic cytokines. Consistently, macitentan limited significantly the basal pro-angiogenic activity of RPMI-8226 cells in chorioallantoic membrane assay. In xenograft mouse models, established by injecting NOG mice either via intra-caudal vein with U266 or subcutaneously with RPMI-8226 cells, macitentan reduced effectively the number of MM cells infiltrating bone marrow, and the size and microvascular density of subcutaneous MM tumors. ET-1 receptors targeting by macitentan represents an effective anti-proliferative and anti-angiogenic therapeutic approach in preclinical settings of MM.
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- 2021
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12. Prognostic or predictive value of circulating cytokines and angiogenic factors for initial treatment of multiple myeloma in the GIMEMA MM0305 randomized controlled trial
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Ilaria Saltarella, Fortunato Morabito, Nicola Giuliani, Carolina Terragna, Paola Omedè, Antonio Palumbo, Sara Bringhen, Lorenzo De Paoli, Enrica Martino, Alessandra Larocca, Massimo Offidani, Francesca Patriarca, Chiara Nozzoli, Tommasina Guglielmelli, Giulia Benevolo, Vincenzo Callea, Luca Baldini, Mariella Grasso, Giovanna Leonardi, Manuela Rizzo, Antonietta Pia Falcone, Daniela Gottardi, Vittorio Montefusco, Pellegrino Musto, Maria Teresa Petrucci, Franco Dammacco, Mario Boccadoro, Angelo Vacca, and Roberto Ria
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Angiogenic factors ,Multiple myeloma ,Overall survival ,Progression-free survival ,Response rate ,Diseases of the blood and blood-forming organs ,RC633-647.5 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Several new drugs are approved for treatment of patients with multiple myeloma (MM), but no validated biomarkers are available for the prediction of a clinical outcome. We aimed to establish whether pretreatment blood and bone marrow plasma concentrations of major cytokines and angiogenic factors (CAFs) of patients from a phase 3 trial of a MM treatment could have a prognostic and predictive value in terms of response to therapy and progression-free and overall survival and whether these patients could be stratified for their prognosis. Methods Blood and bone marrow plasma levels of Ang-2, FGF-2, HGF, VEGF, PDGF-β, IL-8, TNF-α, TIMP-1, and TIMP-2 were determined at diagnosis in MM patients enrolled in the GIMEMA MM0305 randomized controlled trial by an enzyme-linked immunosorbent assay (ELISA). These levels were correlated both reciprocally and with the type of therapy and patients’ characteristics and with a group of non-MM patients as controls. Results No significant differences were detected between the blood and bone marrow plasma levels of angiogenic cytokines. A cutoff for each CAF was established. The therapeutic response of patients with blood plasma levels of CAFs lower than the cutoff was better than the response of those with higher levels in terms of percentage of responding patients and quality of response. Conclusion FGF-2, HGF, VEGF, and PDGF-β plasma levels at diagnosis have predictive significance for response to treatment. The stratification of patients based on the levels of CAFs at diagnosis and their variations after therapy is useful to characterize different risk groups concerning outcome and response to therapy. Trial registration Clinical trial information can be found at the following link: NCT01063179
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- 2019
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13. Next-Generation Sequencing for Clinical Management of Multiple Myeloma: Ready for Prime Time?
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Niccolo Bolli, Elisa Genuardi, Bachisio Ziccheddu, Marina Martello, Stefania Oliva, and Carolina Terragna
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multiple myeloma ,next generation sequencing ,prognosis ,personalized medicine ,genomics ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Personalized treatment is an attractive strategy that promises increased efficacy with reduced side effects in cancer. The feasibility of such an approach has been greatly boosted by next-generation sequencing (NGS) techniques, which can return detailed information on the genome and on the transcriptome of each patient's tumor, thus highlighting biomarkers of response or druggable targets that may differ from case to case. However, while the number of cancers sequenced is growing exponentially, much fewer cases are amenable to a molecularly-guided treatment outside of clinical trials to date. In multiple myeloma, genomic analysis shows a variety of gene mutations, aneuploidies, segmental copy-number changes, translocations that are extremely heterogeneous, and more numerous than other hematological malignancies. Currently, in routine clinical practice we employ reduced FISH panels that only capture three high-risk features as part of the R-ISS. On the contrary, recent advances have suggested that extending genomic analysis to the full spectrum of recurrent mutations and structural abnormalities in multiple myeloma may have biological and clinical implications. Furthermore, increased efficacy of novel treatments can now produce deeper responses, and standard methods do not have enough sensitivity to stratify patients in complete biochemical remission. Consequently, NGS techniques have been developed to monitor the size of the clone to a sensitivity of up to a cell in a million after treatment. However, even these techniques are not within reach of standard laboratories. In this review we will recapitulate recent advances in multiple myeloma genomics, with special focus on the ones that may have immediate translational impact. We will analyze the benefits and pitfalls of NGS-based diagnostics, highlighting crucial aspects that will need to be taken into account before this can be implemented in most laboratories. We will make the point that a new era in myeloma diagnostics and minimal residual disease monitoring is close and conventional genetic testing will not be able to return the required information. This will mandate that even in routine practice NGS should soon be adopted owing to a higher informative potential with increasing clinical benefits.
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- 2020
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14. Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features.
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Terragna, Carolina, Poletti, Andrea, Solli, Vincenza, Martello, Marina, Zamagni, Elena, Pantani, Lucia, Borsi, Enrica, Vigliotta, Ilaria, Mazzocchetti, Gaia, Armuzzi, Silvia, Taurisano, Barbara, Testoni, Nicoletta, Marzocchi, Giulia, Kanapari, Ajsi, Pistis, Ignazia, Tacchetti, Paola, Mancuso, Katia, Rocchi, Serena, Rizzello, Ilaria, and Cavo, Michele
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MULTIDIMENSIONAL scaling ,MULTIPLE myeloma - Abstract
The complexity of Multiple Myeloma (MM) is driven by several genomic aberrations, interacting with disease-related and/or -unrelated factors and conditioning patients' clinical outcome. Patient's prognosis is hardly predictable, as commonly employed MM risk models do not precisely partition high- from low-risk patients, preventing the reliable recognition of early relapsing/refractory patients. By a dimensionality reduction approach, here we dissect the genomic landscape of a large cohort of newly diagnosed MM patients, modelling all the possible interactions between any MM chromosomal alterations. We highlight the presence of a distinguished cluster of patients in the low-dimensionality space, with unfavorable clinical behavior, whose biology was driven by the co-occurrence of chromosomes 1q CN gain and 13 CN loss. Presence or absence of these alterations define MM patients overexpressing either CCND2 or CCND1, fostering the implementation of biology-based patients' classification models to describe the different MM clinical behaviors. The characterisation of the molecular features of multiple myeloma (MM) remains challenging. Here, the authors identify a subset of MM patients with a dismal clinical outcome, harbouring both chromosomes 1q CN gain and 13 CN loss and overexpressing CCND2. [ABSTRACT FROM AUTHOR]
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- 2024
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15. Minimal Residual Disease Assessment Within the Bone Marrow of Multiple Myeloma: A Review of Caveats, Clinical Significance and Future Perspectives
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Alessandra Romano, Giuseppe Alberto Palumbo, Nunziatina Laura Parrinello, Concetta Conticello, Marina Martello, and Carolina Terragna
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multiple myeloma ,flow cytometry ,NGS ,liquid biopsy ,minimal residual disease ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
There is an increasing clinical interest in the measure and achievement of minimal residual disease (MRD) negativity in the bone marrow of Multiple Myeloma (MM) patients, as defined equally either by Multicolor Flow Cytometry (MFC) or by Next Generation Sequencing (NGS) technologies. At present, modern technologies allow to detect up to one on 104 or on 105 or even on 106 cells, depending on their throughput. MFC approaches, which have been progressively improved up to the so-called Next Generation Flow (NGF), and NGS, which proved clear advantages over ASO-PCR, can detect very low levels of residual disease in the BM. These methods are actually almost superimposable, in terms of MRD detection power, supporting the lack of unanimous preference for either technique on basis of local availability. However, some technical issues are still open: the optimal assay to use to detect either phenotype (e.g., next generation multidimensional flow cytometry, imaging) or genotype aberrations (e.g., ASO-RQ PCR, digital droplet PCR, NGS) and their standardization, the sample source (BM or peripheral blood, PB) and its pre-processing (red-cell lysis vs. Ficoll, fresh vs. frozen samples, requirement of CD138+ cells enrichment). Overall, MRD negativity is considered as the most powerful predictor of favorable long-term outcomes in MM and is likely to represent the major driver of treatment strategies in the near future. In this manuscript, we reviewed the main pitfalls and caveats of MRD detection within bone marrow in MM patients after front-line therapy, highlighting the improving of the currently employed technology and describing alternative methods for MRD testing in MM, such as liquid biopsy.
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- 2019
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16. Bortezomib, thalidomide, and dexamethasone followed by double autologous haematopoietic stem-cell transplantation for newly diagnosed multiple myeloma (GIMEMA-MMY-3006): long-term follow-up analysis of a randomised phase 3, open-label study
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Paola Tacchetti, Lucia Pantani, Francesca Patriarca, Maria Teresa Petrucci, Elena Zamagni, Luca Dozza, Monica Galli, Francesco Di Raimondo, Claudia Crippa, Mario Boccadoro, Simona Barbato, Patrizia Tosi, Franco Narni, Vittorio Montefusco, Nicoletta Testoni, Antonio Spadano, Carolina Terragna, Norbert Pescosta, Giulia Marzocchi, Claudia Cellini, Piero Galieni, Sonia Ronconi, Marco Gobbi, Lucio Catalano, Antonio Lazzaro, Giovanni De Sabbata, Clotilde Cangialosi, Fabrizio Ciambelli, Pellegrino Musto, Francesca Elice, Michele Cavo, Renato Fanin, Roberto Foa', Alessandro Rambaldi, Giuseppe Rossi, Pietro Leoni, Paolo Corradini, Giuseppe Torelli, Giuseppe Fioritoni, Sergio Cortelazzo, Giorgio Lambertenghi Deliliers, Giorgio La Nasa, Alfonso Zaccaria, Paolo De Fabritiis, Nicola Cascavilla, Alberto Bosi, Gianpietro Semenzato, Luigi Gugliotta, Filippo Gherlinzoni, Emanuele Angelucci, Massimo Fabrizio Martelli, Maria Concetta Petti, Giuseppe Leone, Angelo Michele Carella, Fabio Ciceri, Armando Santoro, Felicetto Ferrara, Francesco Nobile, Alfonso Maria D'Arco, Alessandro Levis, Luciano Guardigni, Andrea Gallamini, Pier Paolo Fattori, Sergio Morandi, Dino Amadori, Bruno Rotoli, Salvatore Mirto, Giorgio Paladini, Ruggero Mozzana, Graziella Pinotti, Francesco Rodeghiero, Nicola Cantore, Vincenzo Pavone, Enrico Maria Pogliani, Anna Marina Liberati, Ignazio Majolino, Sergio Amadori, Francesco Lauria, Massimo Aglietta, Giovanni Quarta, Sergio Storti, Fortunato Morabito, Silvana Franca Capalbo, Alessandro Massimo Gianni, Vincenzo Mettivier, Vittorio Rizzoli, Carlo Bernasconi, Giuseppe Visani, Michele Pizzuti, Giacinto La Verde, Giuseppe Avvisati, Maurizio Longinotti, Eugenio Gallo, Franco Dammacco, Domenico Russo, Andrea Bacigalupo, Caterina Musolino, Tacchetti P., Pantani L., Patriarca F., Petrucci M.T., Zamagni E., Dozza L., Galli M., Di Raimondo F., Crippa C., Boccadoro M., Barbato S., Tosi P., Narni F., Montefusco V., Testoni N., Spadano A., Terragna C., Pescosta N., Marzocchi G., Cellini C., Galieni P., Ronconi S., Gobbi M., Catalano L., Lazzaro A., De Sabbata G., Cangialosi C., Ciambelli F., Musto P., Elice F., Cavo M., Fanin R., Foa' R., Rambaldi A., Rossi G., Leoni P., Corradini P., Torelli G., Fioritoni G., Cortelazzo S., Lambertenghi Deliliers G., La Nasa G., Zaccaria A., De Fabritiis P., Cascavilla N., Bosi A., Semenzato G., Gugliotta L., Gherlinzoni F., Angelucci E., Martelli M.F., Petti M.C., Leone G., Carella A.M., Ciceri F., Santoro A., Ferrara F., Nobile F., D'Arco A.M., Levis A., Guardigni L., Gallamini A., Fattori P.P., Morandi S., Amadori D., Rotoli B., Mirto S., Paladini G., Mozzana R., Pinotti G., Rodeghiero F., Cantore N., Pavone V., Pogliani E.M., Liberati A.M., Majolino I., Amadori S., Lauria F., Aglietta M., Quarta G., Storti S., Morabito F., Capalbo S.F., Gianni A.M., Mettivier V., Rizzoli V., Bernasconi C., Visani G., Pizzuti M., La Verde G., Avvisati G., Longinotti M., Gallo E., Dammacco F., Russo D., Bacigalupo A., and Musolino C.
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Adult ,Male ,medicine.medical_specialty ,Transplantation Conditioning ,Adolescent ,Phases of clinical research ,Transplantation, Autologous ,Dexamethasone ,Bortezomib ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Humans ,GIMEMA-MMY-3006 trial, bortezomib, thalidomide, dexamethasone, VTD, double autologous haematopoietic stem-cell transplantation, multiple myeloma ,Multiple myeloma ,Aged ,Intention-to-treat analysis ,business.industry ,Hazard ratio ,Hematopoietic Stem Cell Transplantation ,Hematology ,Middle Aged ,medicine.disease ,Thalidomide ,Transplantation ,Regimen ,030220 oncology & carcinogenesis ,Female ,Multiple Myeloma ,business ,Follow-Up Studies ,030215 immunology ,medicine.drug - Abstract
Background: The phase 3 GIMEMA-MMY-3006 trial, which compared bortezomib, thalidomide, and dexamethasone (VTD) combination therapy with thalidomide and dexamethasone (TD) as induction therapy before and consolidation therapy after double autologous haematopoietic stem-cell transplantation (HSCT) for newly diagnosed multiple myeloma, showed the superiority of the triplet regimen over the doublet in terms of increased complete response rate and improved progression-free survival. We report the results from the final analysis of the study. Methods: In this randomised, open-label, phase 3 study, patients aged 18–65 years with previously untreated symptomatic multiple myeloma and a Karnofsky Performance Status of 60% or higher were enrolled at 73 centres in Italy. Patients were randomised (1:1) by a web-based system to receive three 21-day cycles of thalidomide (100 mg daily orally for the first 14 days and 200 mg daily thereafter) plus dexamethasone (total 320 mg per cycle; 40 mg on days 1–2, 4–5, 8–9, and 11–12 in the VTD regimen, and 40 mg on days 1–4 and 9–12 in the TD regimen), either alone (TD group) or with bortezomib (1·3 mg/m2 intravenously on days 1, 4, 8, and 11; VTD group). After double autologous HSCT, patients received two 35-day cycles of either the VTD or TD regimen, according to random assignment, as consolidation therapy. The primary outcome was the rate of complete response and near complete response after induction (already reported). In this updated analysis we assessed long-term progression-free survival and overall survival (secondary endpoints of the study) with an extended 10-year median follow-up, and analysed the variables influencing survival. Analysis was by intention to treat. The study is registered with ClinicalTrials.gov, NCT01134484. Findings: Between May 10, 2006, and April 30, 2008, 480 patients were enrolled and randomly assigned to receive VTD (241 patients) or TD (239 patients). Six patients withdrew consent before start of treatment. 236 (99 [42%] women) in the VTD group and 238 (102 [43%] women) in the TD group were included in the intention-to-treat analysis. The data cutoff date for this analysis was May 31, 2018. Median follow-up for surviving patients was 124·1 months (IQR 117·2–131·7). The 10-year progression-free survival estimate for patients in the VTD group was 34% (95% CI 28–41) compared with 17% (13–23) for the TD group (hazard ratio [HR] 0·62 [95% CI 0·50–0·77]; p
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- 2020
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17. Halting the vicious cycle within the multiple myeloma ecosystem: blocking JAM-A on bone marrow endothelial cells restores angiogenic homeostasis and suppresses tumor progression
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Paolo Ditonno, Silvio Tafuri, Alessandra Balduini, Giorgio Alberto Croci, Hilka Rauert-Wunderlich, Wolfram Klapper, Andreas Rosenwald, Simona De Summa, Carolina Terragna, Erik Henke, Giuseppe Di Lernia, Torsten Steinbrunn, Leo Rasche, Angelo Vacca, Roberto Ria, Matteo Claudio Da Via, Andreas Beilhack, Patrizia Leone, Paola Borrelli, Vito Racanelli, Antonio Giovanni Solimando, Hermann Einsele, Domenico Ribatti, Michele Cavo, Andreas Brandl, K. Martin Kortüm, Antonella Argentiero, Paula Tabares, Assunta Melaccio, Maria Antonia Frassanito, Francesco Paolo Bianchi, Solimando, Antonio G, Da Vià, Matteo C, Leone, Patrizia, Borrelli, Paola, Croci, Giorgio A, Tabares, Paula, Brandl, Andrea, Di Lernia, Giuseppe, Bianchi, Francesco P, Tafuri, Silvio, Steinbrunn, Torsten, Balduini, Alessandra, Melaccio, Assunta, De Summa, Simona, Argentiero, Antonella, Rauert-Wunderlich, Hilka, Frassanito, Maria A, Ditonno, Paolo, Henke, Erik, Klapper, Wolfram, Ria, Roberto, Terragna, Carolina, Rasche, Leo, Rosenwald, Andrea, Kortüm, K Martin, Cavo, Michele, Ribatti, Domenico, Racanelli, Vito, Einsele, Hermann, Vacca, Angelo, and Beilhack, Andreas
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Angiogenesis ,Article ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Downregulation and upregulation ,Bone Marrow ,In vivo ,Tumor Microenvironment ,Animals ,Homeostasis ,Humans ,Medicine ,Ecosystem ,Multiple myeloma ,030304 developmental biology ,0303 health sciences ,business.industry ,Endothelial Cells ,Hematology ,medicine.disease ,humanities ,Bone Marrow Microenvironment ,Junctional Adhesion Molecule A ,Angiogenesi ,medicine.anatomical_structure ,Tumor progression ,Bone marrow endothelial cell ,030220 oncology & carcinogenesis ,Cancer research ,Bone marrow ,Junctional Adhesion Molecule-A (JAM-A/F11R) ,Multiple Myeloma ,business ,Monoclonal gammopathy of undetermined significance - Abstract
Interactions of malignant multiple myeloma (MM) plasma cells with the microenvironment control MM plasma-cell growth, survival, drug-resistance and dissemination. As microvascular density increases in the bone marrow in MM, we investigated whether bone marrow MM endothelial cells control disease progression via the junctional adhesion molecule-A (JAM-A). Membrane and cytoplasmic JAM-A levels were upregulated in MM endothelial cells in 111 patients with newly diagnosed MM and in 201 with relapsed/refractory MM compared to the levels in patients with monoclonal gammopathy of undetermined significance and healthy controls. Elevated membrane expression of JAM-A on MM endothelial cells predicted poor clinical outcome. Mechanistically, addition of recombinant JAM-A to MM endothelial cells increased angiogenesis, whereas inhibition of this adhesion molecule impaired angiogenesis and MM growth in two-dimensional and three-dimensional in vitro cell cultures and chorioallantoic membrane assays. To corroborate these findings, we treated MM-bearing mice with a JAM-A-blocking monoclonal antibody and demonstrated impaired MM progression, corresponding to decreased MM-related vascularity. These findings support the concept that JAM-A is an important mediator of MM progression through facilitating MM-associated angiogenesis. Elevated JAM-A expression on bone marrow endothelial cells is an independent prognostic factor for the survival of both patients with newly diagnosed MM and those with relapsed/refractory MM. Blocking JAM-A restricts angiogenesis in vitro, in utero and in vivo and represents a suitable druggable molecule to halt neo-angiogenesis and MM progression.
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- 2020
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18. Clonal and subclonal TP53 molecular impairment is associated with prognosis and progression in multiple myeloma
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M. Martello, A. Poletti, E. Borsi, V. Solli, L. Dozza, S. Barbato, E. Zamagni, P. Tacchetti, L. Pantani, K. Mancuso, I. Vigliotta, I. Rizzello, S. Rocchi, S. Armuzzi, N. Testoni, G. Marzocchi, G. Martinelli, M. Cavo, C. Terragna, Martello M., Poletti A., Borsi E., Solli V., Dozza L., Barbato S., Zamagni E., Tacchetti P., Pantani L., Mancuso K., Vigliotta I., Rizzello I., Rocchi S., Armuzzi S., Testoni N., Marzocchi G., Martinelli G., Cavo M., and Terragna C.
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Male ,Prognosi ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Myeloma ,Hematology ,Translational research ,Middle Aged ,Prognosis ,Polymorphism, Single Nucleotide ,Article ,Risk factors ,Oncology ,Mutation ,Cancer genomics ,Disease Progression ,Humans ,Female ,Chromosome Deletion ,Neoplasm Recurrence, Local ,Tumor Suppressor Protein p53 ,Multiple Myeloma ,RC254-282 ,Aged ,Human - Abstract
Aberrations on TP53, either as deletions of chromosome 17p (del17p) or mutations, are associated with poor outcome in multiple myeloma (MM), but conventional detection methods currently in use underestimate their incidence, hindering an optimal risk assessment and prognostication of MM patients. We have investigated the altered status of TP53 gene by SNPs array and sequencing techniques in a homogenous cohort of 143 newly diagnosed MM patients, evaluated both at diagnosis and at first relapse: single-hit on TP53 gene, either deletion or mutation, detected both at clonal and sub-clonal level, had a minor effect on outcomes. Conversely, the coexistence of both TP53 deletion and mutation, which defined the so-called double-hit patients, was associated with the worst clinical outcome (PFS: HR 3.34 [95% CI: 1.37–8.12] p = 0.008; OS: HR 3.47 [95% CI: 1.18–10.24] p = 0.02). Moreover, the analysis of longitudinal samples pointed out that TP53 allelic status might increase during the disease course. Notably, the acquisition of TP53 alterations at relapse dramatically worsened the clinical course of patients. Overall, our analyses showed these techniques to be highly sensitive to identify TP53 aberrations at sub-clonal level, emphasizing the poor prognosis associated with double-hit MM patients.
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- 2022
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19. Long term follow-up of humoral and cellular response to mRNA-based vaccines for SARS-CoV-2 in patients with active multiple myeloma.
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Mancuso, Katia, Zamagni, Elena, Solli, Vincenza, Gabrielli, Liliana, Leone, Marta, Pantani, Lucia, Rocchi, Serena, Rizzello, Ilaria, Tacchetti, Paola, Ghibellini, Stefano, Favero, Emanuele, Ursi, Margherita, Talarico, Marco, Barbato, Simona, Kanapari, Ajsi, Bigi, Flavia, Puppi, Michele, Terragna, Carolina, Borsi, Enrica, and Martello, Marina
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HUMORAL immunity ,COVID-19 vaccines ,VACCINE effectiveness ,MULTIPLE myeloma ,CD38 antigen ,SEROCONVERSION ,VACCINE immunogenicity - Abstract
Long-term kinetics of antibody (Ab) and cell-mediated immune (CMI) response to full anti-SARS-CoV-2 vaccine schedule and booster doses in Multiple Myeloma (MM) patients remain unclear. We prospectively evaluated Ab and CMI response to mRNA vaccines in 103 SARS-CoV-2-naïve MM patients (median age 66, 1 median prior line of therapy) and 63 health-workers. Anti-SRBD IgG (Elecsys®assay) were measured before vaccination and after 1 (T1), 3 (T3), 6 (T6), 9 (T9) and 12 (T12) months from second dose (D2) and 1 month after the introduction of the booster dose (T1D3). CMI response (IGRA test) was evaluated at T3 and T12. Fully vaccinated MM patients displayed high seropositivity rate (88.2%), but low CMI response (36.2%). At T6 the median serological titer was halved (p=0.0391) in MM patients and 35% reduced (p=0.0026) in controls. D3 (94 patients) increased the seroconversion rate to 99% in MM patients and the median IgG titer in both groups (up to 2500 U/mL), maintained at T12. 47% of MM patients displayed a positive CMI at T12 and double-negativity for humoral and CMI (9.6% at T3) decreased to 1%. Anti-S-RBD IgG level ≥346 U/mL showed 20-times higher probability of positive CMI response (OR 20.6, p<0.0001). Hematological response ≥CR and ongoing lenalidomide maintenance enhanced response to vaccination, hindered by proteasome inhibitors/anti-CD38 monoclonal antibodies. In conclusion, MM elicited excellent humoral, but insufficient cellular responses to anti-SARSCoV- 2 mRNA vaccines. Third dose improved immunogenicity renewal, even when undetectable after D2. Hematological response and ongoing treatment at vaccination were the main predictive factors of vaccine immunogenicity, emphasizing the role of vaccine response assessment to identify patients requiring salvage approaches. [ABSTRACT FROM AUTHOR]
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- 2023
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20. Identification of a Maturation Plasma Cell Index through a Highly Sensitive Droplet Digital PCR Assay Gene Expression Signature Validation in Newly Diagnosed Multiple Myeloma Patients
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Marina Martello, Vincenza Solli, Rosalinda Termini, Ajsi Kanapari, Daniel Remondini, Enrica Borsi, Andrea Poletti, Silvia Armuzzi, Barbara Taurisano, Ilaria Vigliotta, Gaia Mazzocchetti, Elena Zamagni, Alessandra Merlotti, Paola Tacchetti, Lucia Pantani, Serena Rocchi, Ilaria Rizzello, Katia Mancuso, Michele Cavo, Carolina Terragna, Martello M., Solli V., Termini R., Kanapari A., Remondini D., Borsi E., Poletti A., Armuzzi S., Taurisano B., Vigliotta I., Mazzocchetti G., Zamagni E., Merlotti A., Tacchetti P., Pantani L., Rocchi S., Rizzello I., Mancuso K., Cavo M., and Terragna C.
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digital PCR ,plasma cell maturation ,Plasma Cells ,Organic Chemistry ,differentiation stage ,Reproducibility of Results ,General Medicine ,self-renewal ,Real-Time Polymerase Chain Reaction ,hedgehog signaling ,Catalysis ,Computer Science Applications ,Inorganic Chemistry ,gene expression ,Humans ,RNA ,Hedgehog Proteins ,Prospective Studies ,Physical and Theoretical Chemistry ,Multiple Myeloma ,Transcriptome ,Molecular Biology ,Spectroscopy ,multiple myeloma ,differentiation stages ,Retrospective Studies - Abstract
DNA microarrays and RNA-based sequencing approaches are considered important discovery tools in clinical medicine. However, cross-platform reproducibility studies undertaken so far have highlighted that microarrays are not able to accurately measure gene expression, particularly when they are expressed at low levels. Here, we consider the employment of a digital PCR assay (ddPCR) to validate a gene signature previously identified by gene expression profile. This signature included ten Hedgehog (HH) pathways’ genes able to stratify multiple myeloma (MM) patients according to their self-renewal status. Results show that the designed assay is able to validate gene expression data, both in a retrospective as well as in a prospective cohort. In addition, the plasma cells’ differentiation status determined by ddPCR was further confirmed by other techniques, such as flow cytometry, allowing the identification of patients with immature plasma cells’ phenotype (i.e., expressing CD19+/CD81+ markers) upregulating HH genes, as compared to others, whose plasma cells lose the expression of these markers and were more differentiated. To our knowledge, this is the first technical report of gene expression data validation by ddPCR instead of classical qPCR. This approach permitted the identification of a Maturation Index through the integration of molecular and phenotypic data, able to possibly define upfront the differentiation status of MM patients that would be clinically relevant in the future.
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- 2022
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21. Unraveling the Role of Peroxisome Proliferator-Activated Receptor β/Δ (PPAR β/Δ) in Angiogenesis Associated with Multiple Myeloma.
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Leone, Patrizia, Solimando, Antonio Giovanni, Prete, Marcella, Malerba, Eleonora, Susca, Nicola, Derakhshani, Afshin, Ditonno, Paolo, Terragna, Carolina, Cavo, Michele, Silvestris, Nicola, and Racanelli, Vito
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MULTIPLE myeloma ,ADIPOGENESIS ,NEOVASCULARIZATION ,PROSTAGLANDIN receptors ,NEOVASCULARIZATION inhibitors ,BONE marrow ,ENDOTHELIAL cells ,PEROXISOME proliferator-activated receptors - Abstract
Growing evidence suggests a role for peroxisome proliferator-activated receptor β/δ (PPAR β/δ) in the angiogenesis, growth, and metastasis of solid tumors, but little is known about its role in multiple myeloma (MM). Angiogenesis in the bone marrow (BM) is characteristic of disease transition from monoclonal gammopathy of undetermined significance (MGUS) to MM. We examined the expression and function of PPAR β/δ in endothelial cells (EC) from the BM of MGUS (MGEC) and MM (MMEC) patients and showed that PPAR β/δ was expressed at higher levels in MMEC than in MGEC and that the overexpression depended on myeloma plasma cells. The interaction between myeloma plasma cells and MMEC promoted the release of the PPAR β/δ ligand prostaglandin I2 (PGI2) by MMEC, leading to the activation of PPAR β/δ. We also demonstrated that PPAR β/δ was a strong stimulator of angiogenesis in vitro and that PPAR β/δ inhibition by a specific antagonist greatly impaired the angiogenic functions of MMEC. These findings define PGI2-PPAR β/δ signaling in EC as a potential target of anti-angiogenic therapy. They also sustain the use of PPAR β/δ inhibitors in association with conventional drugs as a new therapeutic approach in MM. [ABSTRACT FROM AUTHOR]
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- 2023
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22. Editorial: Risk factors in multiple myeloma identified before and during treatment: are we ready to personalize treatment?
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D'Agostino, Mattia, Terragna, Carolina, and van Duin, Mark
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MULTIPLE myeloma - Published
- 2023
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23. Correlation between eight-gene expression profiling and response to therapy of newly diagnosed multiple myeloma patients treated with thalidomide–dexamethasone incorporated into double autologous transplantation
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Terragna, Carolina, Renzulli, Matteo, Remondini, Daniel, Tagliafico, Enrico, Di Raimondo, Francesco, Patriarca, Francesca, Martinelli, Giovanni, Roncaglia, Enrica, Masini, Luciano, Tosi, Patrizia, Zamagni, Elena, Tacchetti, Paola, Ledda, Antonio, Brioli, Annamaria, Angelucci, Emanuele, Testoni, Nicoletta, Marzocchi, Giulia, Galieni, Piero, Gozzetti, Alessandro, Martello, Marina, Dico, Flores, Mancuso, Katia, and Cavo, Michele
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- 2013
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24. Long-term results of thalidomide and dexamethasone (thal–dex) as therapy of first relapse in multiple myeloma
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Zamagni, Elena, Petrucci, Alessandro, Tosi, Patrizia, Tacchetti, Paola, Perrone, Giulia, Brioli, Annamaria, Pantani, Lucia, Zannetti, Beatrice, Terragna, Carolina, Baccarani, Michele, and Cavo, Michele
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- 2012
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25. Maintenance therapy with bortezomib and dexamethasone after autotransplantation for high-risk multiple myeloma
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Elena Zamagni, Nicoletta Testoni, Luca Dozza, Marina Martello, Alessio Fusco, Carolina Terragna, Paola Tacchetti, Michele Cavo, Serena Rocchi, Giulia Marzocchi, Lucia Pantani, Isola Caratozzolo, Ilaria Rizzello, Enrica Borsi, Gabriella De Cicco, Katia Mancuso, Mancuso K., Tacchetti P., Pantani L., Rocchi S., Rizzello I., Caratozzolo I., De Cicco G., Fusco A., Testoni N., Terragna C., Marzocchi G., Martello M., Borsi E., Dozza L., Cavo M., and Zamagni E.
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Oncology ,medicine.medical_specialty ,medicine.medical_treatment ,MEDLINE ,Transplantation, Autologous ,Dexamethasone ,high-risk multiple myeloma, Maintenance therapy, bortezomib, dexamethasone, autotransplantation ,Bortezomib ,Maintenance therapy ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Humans ,Lenalidomide ,Multiple myeloma ,Transplantation ,business.industry ,Hematology ,medicine.disease ,Autotransplantation ,Treatment Outcome ,business ,Multiple Myeloma ,medicine.drug - Abstract
No abstract available.
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- 2020
26. Integrative analysis of the genomic and transcriptomic landscape of double-refractory multiple myeloma
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Bachisio Ziccheddu, Marialuisa Sensi, Paolo Corradini, Even H Rustad, Cristiana Carniti, Niccolo Bolli, Giulia Biancon, Efstathios Kastritis, Francesco Maura, Meletios A. Dimopoulos, Carolina Terragna, Matteo Dugo, Filippo Bagnoli, Tina Bagratuni, Andrea Devecchi, Loris De Cecco, Marina Martello, Michele Cavo, Vittorio Montefusco, Chiara De Philippis, Ziccheddu B., Biancon G., Bagnoli F., De Philippis C., Maura F., Rustad E.H., Dugo M., Devecchi A., De Cecco L., Sensi M., Terragna C., Martello M., Bagratuni T., Kastritis E., Dimopoulos M.A., Cavo M., Carniti C., Montefusco V., Corradini P., and Bolli N.
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Population ,Drug resistance ,Biology ,Gene mutation ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,education ,Multiple myeloma ,Exome sequencing ,030304 developmental biology ,0303 health sciences ,education.field_of_study ,Mutation ,Lymphoid Neoplasia ,multiple myeloma, proteasome inhibitors, immunomodulatory agents, next-generation sequencing, refractory ,Point mutation ,Genomics ,Hematology ,medicine.disease ,Chemotherapy regimen ,3. Good health ,030220 oncology & carcinogenesis ,Cancer research ,Neoplasm Recurrence, Local ,Multiple Myeloma ,Transcriptome ,Proteasome Inhibitors - Abstract
In multiple myeloma, novel treatments with proteasome inhibitors (PIs) and immunomodulatory agents (IMiDs) have prolonged survival but the disease remains incurable. At relapse, next-generation sequencing has shown occasional mutations of drug targets but has failed to identify unifying features that underlie chemotherapy resistance. We studied 42 patients refractory to both PIs and IMiDs. Whole-exome sequencing was performed in 40 patients, and RNA sequencing (RNA-seq) was performed in 27. We found more mutations than were reported at diagnosis and more subclonal mutations, which implies ongoing evolution of the genome of myeloma cells during treatment. The mutational landscape was different from that described in published studies on samples taken at diagnosis. The TP53 pathway was the most frequently inactivated (in 45% of patients). Conversely, point mutations of genes associated with resistance to IMiDs were rare and were always subclonal. Refractory patients were uniquely characterized by having a mutational signature linked to exposure to alkylating agents, whose role in chemotherapy resistance and disease progression remains to be elucidated. RNA-seq analysis showed that treatment or mutations had no influence on clustering, which was instead influenced by karyotypic events. We describe a cluster with both amp(1q) and del(13) characterized by CCND2 upregulation and also overexpression of MCL1, which represents a novel target for experimental treatments. Overall, high-risk features were found in 65% of patients. However, only amp(1q) predicted survival. Gene mutations of IMiD and PI targets are not a preferred mode of drug resistance in myeloma. Chemotherapy resistance of the bulk tumor population is likely attained through differential, yet converging evolution of subclones that are overall variable from patient to patient and within the same patient.
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- 2020
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27. Abstract 2700: Negative selective pressure exerted by maintenance therapy promotes the extinction of sub-clones carrying high-risk lesions in multiple myeloma
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Luca Dozza, Marina Martello, Serena Rocchi, Mario Boccadoro, Nicoletta Testoni, Luca Nunzio Cifarelli, Agboyi Lakpo, Elena Zamagni, Giulia Marzocchi, Silvia Armuzzi, Michele Cavo, Lucia Pantani, Carolina Terragna, Paola Tacchetti, Anna Marina Liberati, Giuseppe Rossi, Vincenza Solli, Maria Teresa Petrucci, Andrea Poletti, Katia Mancuso, Enrica Borsi, Ilaria Rizzello, Poletti, Andrea, Solli, Vincenza, Martello, Marina, Borsi, Enrica, Pantani, Lucia, Lakpo, Agboyi, Armuzzi, Silvia, Cifarelli, Luca Nunzio, Zamagni, Elena, Tacchetti, Paola, Rocchi, Serena, Mancuso, Katia, Rizzello, Ilaria, Marzocchi, Giulia, Testoni, Nicoletta, Dozza, Luca, Petrucci, Maria Teresa, Liberati, Anna Marina, Rossi, Giuseppe, Boccadoro, Mario, Cavo, Michele, and Terragna, Carolina
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Oncology ,Cancer Research ,medicine.medical_specialty ,Chemotherapy ,CKS1B ,business.industry ,medicine.medical_treatment ,Single-nucleotide polymorphism ,medicine.disease ,Somatic evolution in cancer ,Multiple Myeloma, Genomics, Clonal evolution, Maintenance therapy ,Maintenance therapy ,Internal medicine ,medicine ,business ,Multiple myeloma ,Prolonged treatment ,Lenalidomide ,medicine.drug - Abstract
BACKGROUND: Multiple Myeloma (MM) maintenance therapy is a low intensive, prolonged treatment, commonly administered to newly diagnosed patients (pts) at the end of front-line regimens. Lenalidomide (LEN) is considered the best available maintenance option for MM, the actual benefits or disadvantages of a LEN-based maintenance and its potential role as “selective pressure” on MM sublcones are still unclear. AIM: In this study we estimated the role of LEN maintenance therapy in eliciting genomic changes in a cohort of MM pts homogeneously up-front treated. PATIENTS-METHODS: Whole genome Copy Number Alterations (CNA) was obtained by SNPs array in 54 pts samples collected both at diagnosis(D) and at first relapse(R). Pts had an high-risk (HR) disease, defined by a median TTP of 29m. A custom gene-level CN calling algorithm was set up, to compute the evolution of every gene CN value and the genomic evolutive trajectories associated to changes of these values. High-risk genomic loci were defined using GISTIC to derive target genomic relevant for MM biology. After PIs induction therapy, 31/54 pts were treated with HD chemotherapy followed by either single or double ASCT; LEN maintenance therapy was then offered both to 20/31 auto-transplanted and to 6/23 not auto-transplanted pts. RESULTS: Three main evolutive trajectories (linear L, drift D, and branching B) were defined according to the CN changes' direction, reflecting a putative positive, negative, or both positive and negative selective pressure, respectively. A fourth, stable (S) trajectory was also observed, characterized by the absence of CN changes. Overall, 29, 15 and 10 pts relapsed with B/D, L and S pattern, respectively; at R, all LEN-treated pts changed their sub-clonal architecture: a B/D evolutive pattern characterized 70% of pts. By contrast, genome remained mostly stable in 61% of not-treated pts. We then focused on CN changes of specific chromosomal regions and/or genomic loci identified as high-risk, whose prognostic role has been already established in MM (i.e. TP53, CDKN2C, CKS1B). When present at D, these CNA tended to persist throughout the disease course, regardless of whether pts received or not maintenance. The emersion of any of these CNAs at R was widely observed both in pts receiving or not maintenance, whereas a negative selective pressure over them was more likely to occur in pts receiving maintenance, as compared to the others (50% vs 11% of B/D trajectories in LEN-treated vs not-treated pts, respectively). Strikingly, in LEN-treated pts, the extension of both TTP and OS was favored by the extinction and/or negative selection (B/D patterns) of the HR CNAs, and shortened by their stability or positive selection (L/S patterns) (median TTP 46 vs 32m HR=3.6, p=0.01; median OS 111 vs 63m HR 5.7, p=0.04 in B/D vs L/S pts, respectively). On the contrary, the absence of maintenance selective pressure seemed to affect neither the evolution trajectory, nor the clinical course of not-treated pts. CONCLUSION: The extinction of sub-clones carrying HR lesions in pts receiving maintenance therapy is likely to be associated to the negative selection exerted by the therapy. This might explain the extended survival of these pts. On the contrary, the subclones of pts not receiving maintenance might randomly evolve, due to the absence of a specific selective pressure. Citation Format: Andrea Poletti, Vincenza Solli, Marina Martello, Enrica Borsi, Lucia Pantani, Agboyi Lakpo, Silvia Armuzzi, Luca Nunzio Cifarelli, Elena Zamagni, Paola Tacchetti, Serena Rocchi, Katia Mancuso, Ilaria Rizzello, Giulia Marzocchi, Nicoletta Testoni, Luca Dozza, Maria Teresa Petrucci, Anna Marina Liberati, Giuseppe Rossi, Mario Boccadoro, Michele Cavo, Carolina Terragna. Negative selective pressure exerted by maintenance therapy promotes the extinction of sub-clones carrying high-risk lesions in multiple myeloma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2700.
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- 2020
28. OAB-057: Temporal-weight estimation of the copy number alterations of of 1384 Multiple Myeloma patients defines an ancestrality index impacting patients survival
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Ilaria Vigliotta, Marina Martello, Silvia Armuzzi, Andrea Poletti, Michele Cavo, Carolina Terragna, Elena Zamagni, Katia Mancuso, Barbara Taurisano, Serena Rocchi, Gaia Mazzocchetti, Paola Tacchetti, Lucia Pantani, Enrica Borsi, and Vincenza Solli
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Oncology ,Cancer Research ,medicine.medical_specialty ,business.industry ,Single-nucleotide polymorphism ,Hematology ,Disease ,medicine.disease ,Confidence interval ,Weight estimation ,Median follow-up ,Internal medicine ,Tumor stage ,medicine ,business ,Survival analysis ,Multiple myeloma - Abstract
Background MM is a hematological malignancy always evolving from pre-malignant stages, with progressive increase of genomic complexity. MM is characterized by a large abundance of copy number alterations (CNA); many of them, regarded as “driver”, stack up progressively from early tumor stages, causing biological changes that give rise to tumor hallmarks and malignant phenotypes. The combined application of whole genome analysis and mathematical models allows to deeply describe these alterations and to infer their order of acquisition during oncogenesis from their clonality levels, assuming that clonal ones are more ancestral than subclonal. Aims: (1) To define the temporal order of acquisition of CNA, leading to the onset of symptomatic MM and (2) to define a scoring model able to stratify patients (pts) according to the ancestrality of the alterations observed in their genomic landscape. Methods Genomic data collected from a total of 1384 newly diagnosed MM pts were included in the study: SNPs array data were collected from 514 pts of our Institution (BO dataset); in 870 pts, WES data were downloaded from CoMMpass study. CN calls and clonality levels were harmonized by an analysis pipeline including ASCAT, GISTIC v2 and custom R scripts. Timing estimates were obtained with BradleyTerry2 package. Survival analysis were performed on R. Results A full call-set of CNAs was obtained by harmonizing BO and CoMMpass datasets. The clonality information was first extrapolated from the whole call-set, to define the temporal order of acquisition of non-primary CNAs. CNAs were then accurately ranked, by using the obtained timing estimates, characterized by a quite narrow confidence interval. Of interest, chr 1q gains and chr 13q losses were frequently clonal and ranked as ancestral events, whereas chr 17p losses were late occurring events. By weighting the CNAs carried by any given pts at diagnosis with their relative timing estimate in a combinatorial process, an Ancestrality Index (AI) was defined for each pts (median AI=3.4, IQR=1.7-6.0). The AI was found to be significantly associated with progression free (PFS) and overall survival (OS) (p3.4 (i.e. with a more “ancestral” profile) had a worse outcome as compared to the rest of pts (OS 40% vs 58%, PFS 42% vs 56%, at a median follow up of 92m and 34m, p Conclusions By means of whole genome analysis and dataset harmonizing, the temporal order of acquisition of MM CNAs has been confidently described. A score reflecting the disease ancestrality of MM pts at diagnosis was generated and associated to survival outcomes. Overall, these findings support the evidence that MM pts at diagnosis carrying an excess of ancestral alterations, expected to likely be drivers, are prone to have a dismal prognosis.
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- 2021
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29. OAB-006: A novel algorithm to identify, characterize and define the prognostic impact of complex catastrophic events in Multiple Myeloma
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Marina Martello, Michele Cavo, Enrica Borsi, Silvia Armuzzi, Andrea Poletti, Ignazia Pistis, Vincenza Solli, Katia Mancuso, Barbara Taurisano, Lucia Pantani, Elena Zamagni, Carolina Terragna, Serena Rocchi, Paola Tacchetti, Ilaria Vigliotta, and Gaia Mazzocchetti
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Cancer Research ,Chromothripsis ,business.industry ,Hazard ratio ,Single-nucleotide polymorphism ,Chromosomal translocation ,Context (language use) ,Hematology ,medicine.disease ,medicine.anatomical_structure ,Oncology ,medicine ,Proteasome inhibitor ,Bone marrow ,business ,Algorithm ,Multiple myeloma ,medicine.drug - Abstract
Introduction Multiple Myeloma (MM) is a genetically complex disease, characterized by the recurrence of several chromosomal aberrations, which impair the disease prognosis. The use of genome-wide technologies has recently highlighted the existence of Complex Chromosomal Events (CCEs), caused by distinct phenomenons: Chromothripsis (CT), caused by single-step genomic events, and Stepwise Events (SE), consequence of multiple, small and sequential genomic events, occurring throughout subsequent cell cycles. The prognostic impact of CT in MM has not yet been fully elucidated. Aims of our study were: (1) to detect CCEs in MM, with a focus on CT, by using an original and reliable bio-informatic algorithm, (2) to characterize the genetic and genomic context of CT and (3) to correlate the presence of CTwith pts prognosis. Methods A total of 488 newly diagnosed MM patients (pts) have been included in the study. Genomic data have been obtained by SNPs arrays on bone marrow (BM) aspirates CD138+ enriched cell fractions; data were analysed by Affymetrix’s programs and R-scripts. Results An original algorithm able to discriminate among the 2 different CCEs (CT and SE),was set up and tested, by implementing the most commonly reported guidelines for CCEs identification with knowledges on MM-specific highly heterogeneous genomic context. CCEs were detected in 174 pts (36% with at least one CCE): in particular, 46/174 pts (26%) carried CT. CT can affect any chromosome, yet showing significant associations with the following genomic regions: chr1p (p=8.37E-15), chr2q (p=4.27E-8), chr11q (p=6.99E-5) and chr22q (p=5.15E-7). Pts carrying CT were more likely to carry also IgH translocations associated to bad prognosis (p=0.002, HR 3.4) and TP53 deletions (p=1.16E-5, HR=6.26). The presence of any CT event conferred hazard ratio of 1.52 (p=0.019) and 1.68 (p=0.019) to pts’ progression-free (PFS) and overall survival (OS), respectively, independently from the presence of both TP53 deletion and translocation t(4;14), as evaluated in a multivariated model. An association between CT events and XBP1 gene deletion was observed; since XBP1 expression has been correlated to an effective proteasome inhibitor (PI) therapy response, CT events particularly impacted survival expectancies of PI-treated pts, whose PFS and OS were significanlty worse than those of other pts (p=0.0098 and =0.023, respecitvely). Finally, the same CT events acquired at diagnosis were observed in those 4/55 pts, whose BM aspirates were analysed also at relapse, thus suggesting that, once occurred, CT might have a driver role for disease progression. Conclusion Our results showed that CT impact MM pts prognosis, independently from the genomic region affected and the pts’ genomic backgroung. Acknowledgment AIRC_IG2014, RF-2016.
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- 2021
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30. Identification of a Maturation Plasma Cell Index through a Highly Sensitive Droplet Digital PCR Assay Gene Expression Signature Validation in Newly Diagnosed Multiple Myeloma Patients.
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Martello, Marina, Solli, Vincenza, Termini, Rosalinda, Kanapari, Ajsi, Remondini, Daniel, Borsi, Enrica, Poletti, Andrea, Armuzzi, Silvia, Taurisano, Barbara, Vigliotta, Ilaria, Mazzocchetti, Gaia, Zamagni, Elena, Merlotti, Alessandra, Tacchetti, Paola, Pantani, Lucia, Rocchi, Serena, Rizzello, Ilaria, Mancuso, Katia, Cavo, Michele, and Terragna, Carolina
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PLASMA cells ,GENE expression ,B cells ,GENE expression profiling ,DNA microarrays ,MULTIPLE myeloma ,CELL differentiation - Abstract
DNA microarrays and RNA-based sequencing approaches are considered important discovery tools in clinical medicine. However, cross-platform reproducibility studies undertaken so far have highlighted that microarrays are not able to accurately measure gene expression, particularly when they are expressed at low levels. Here, we consider the employment of a digital PCR assay (ddPCR) to validate a gene signature previously identified by gene expression profile. This signature included ten Hedgehog (HH) pathways' genes able to stratify multiple myeloma (MM) patients according to their self-renewal status. Results show that the designed assay is able to validate gene expression data, both in a retrospective as well as in a prospective cohort. In addition, the plasma cells' differentiation status determined by ddPCR was further confirmed by other techniques, such as flow cytometry, allowing the identification of patients with immature plasma cells' phenotype (i.e., expressing CD19+/CD81+ markers) upregulating HH genes, as compared to others, whose plasma cells lose the expression of these markers and were more differentiated. To our knowledge, this is the first technical report of gene expression data validation by ddPCR instead of classical qPCR. This approach permitted the identification of a Maturation Index through the integration of molecular and phenotypic data, able to possibly define upfront the differentiation status of MM patients that would be clinically relevant in the future. [ABSTRACT FROM AUTHOR]
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- 2022
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31. Drug resistance in multiple myeloma: Soldiers and weapons in the bone marrow niche.
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Solimando, Antonio Giovanni, Malerba, Eleonora, Leone, Patrizia, Prete, Marcella, Terragna, Carolina, Cavo, Michele, and Racanelli, Vito
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MULTIDRUG resistance ,MULTIPLE myeloma ,BONE marrow ,CANCER relapse ,CANCER stem cells ,CELL adhesion molecules ,BORTEZOMIB - Abstract
Multiple myeloma (MM) is still an incurable disease, despite considerable improvements in treatment strategies, as resistance to most currently available agents is not uncommon. In this study, data on drug resistance in MM were analyzed and led to the following conclusions: resistance occurs via intrinsic and extrinsic mechanisms, including intraclonal heterogeneity, drug efflux pumps, alterations of drug targets, the inhibition of apoptosis, increased DNA repair and interactions with the bone marrow (BM) microenvironment, cell adhesion, and the release of soluble factors. Since MM involves the BM, interactions in the MM-BM microenvironment were examined as well, with a focus on the cross-talk between BM stromal cells (BMSCs), adipocytes, osteoclasts, osteoblasts, endothelial cells, and immune cells. Given the complex mechanisms that drive MM, next-generation treatment strategies that avoid drug resistance must target both the neoplastic clone and its non-malignant environment. Possible approaches based on recent evidence include: (i) proteasome and histone deacetylases inhibitors that not only target MM but also act on BMSCs and osteoclasts; (ii) novel peptide drug conjugates that target both the MM malignant clone and angiogenesis to unleash an effective anti-MM immune response. Finally, the role of cancer stem cells in MM is unknown but given their roles in the development of solid and hematological malignancies, cancer relapse, and drug resistance, their identification and description are of paramount importance for MM management. [ABSTRACT FROM AUTHOR]
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- 2022
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32. High Humoral Response after Anti-Sars-Cov-2 mRNA-Based Vaccines in Patients with Active Multiple Myeloma (MM) and Relationship with Disease Status/Line of Therapy
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Alessio Fusco, Carolina Terragna, Emanuele Favero, Elena Zamagni, Michele Cavo, Barbara Ruffini, Vincenza Solli, Lucia Pantani, Ilaria Rizzello, Gabriella De Cicco, Katia Mancuso, Paola Tacchetti, Margherita Ursi, Marco Talarico, Pier Luigi Zinzani, Giuliana Nepoti, Serena Rocchi, Liliana Gabrielli, and Tiziana Lazzarotto
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Messenger RNA ,Disease status ,business.industry ,Line of therapy ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Immunology ,652.Multiple Myeloma and Plasma cell Dyscrasias: Clinical and Epidemiological ,Cell Biology ,Hematology ,medicine.disease ,Biochemistry ,Medicine ,In patient ,business ,Multiple myeloma - Abstract
mRNA vaccines BNT162b2 and mRNA1273 are highly effective in preventing SARS-CoV-2 infection and mortality in healthy adults. However, their immunogenicity in immunocompromised Multiple Myeloma (MM) patients is less clear. We performed an observational prospective study of 96 MM patients (pts) treated at our centre, aimed at assessing the humoral and cell-mediated immune (CMI) response following the full immunization schedule. To this aim, we measured serum levels of neutralizing IgG anti Spike-protein (IgG anti S-RBD) at 1, 3, 6, 9 and 12 months after the 2 nd dose of vaccination, using the electrochemiluminescence (ECLIA) platform (Elecsys® Anti-sars-Cov-2 ECLIA assay) and evaluated CMI response in terms of pts with a SARS-CoV-2 specific IFNγ T cell response by IGRA (Interferon-Gamma Release Assays) test at 3 and 12 months after 2 nd dose. A concentration level of IgG anti S-RBD ≥0.80 U/ml was considered a seropositive result. Herein, we report preliminary data on the development of humoral response in 96 MM pts who reached the first study timepoint (1 month after 2 nd dose), compared to 54 health-care workers as controls. At vaccination, the median age of the 96 patients (51 males/45 females) was 66.5 (range 47-83) years. The median number of previous lines of therapy was 1 (range 1-11) and only 7 (7.3%) pts were not receiving active treatment. 44.8% (n=43) pts had relapse/refractory MM. Among 72 (75%) transplant-eligible pts, 63 patients had previously received autologous stem-cell transplantation (ASCT) with a median time between ASCT and vaccine of 31 (range 3-274) months. 70 (72.9%) pts had received immunomodulatory drugs (IMIDs) containing regimens, 30 (31.3%) proteasome inhibitors (PIs), 11 (11.5%) IMIDs + PIs, 32 (33.3%) anti-CD38 monoclonal antibodies (anti-CD38 moAbs). 33 (34.4%) pts were in lenalidomide (R) maintenance therapy. At vaccination, 67 (68.8%) pts were in VGPR or higher, 18 (18.7%) in PR and 11 (11.3%) in SD or PD. Immunoparesis (≥1 uninvolved Ig below lower level limit) was observed in 78 (88.6%) pts, of whom 59 (67.1%) showed a reduction of two Ig classes. All pts had completed the 2 planned doses of BNT162b2 (40.6%) or mRNA1273 (59.4%) vaccine 3 or 4 weeks apart, respectively. Control cohort (n=54; median age of 51 [range 40-66] years) received mRNA vaccine during the same period. People with previous SARS-CoV-2 infection (positive IgG anti S-RBD or anti-nucleocapsid N antibody titer before vaccines) were excluded from the analysis. At 1 month post 2 nd dose, (median 30 days, IQR 28-32) seropositive response rate to vaccination was 91.7% (n=88) for MM pts vs 100% for controls, p=0.05; the median IgG anti S-RBD titer was 435 (range 0.4-2500) vs 1040.5 U/ml (range 160-2500), respectively; p=0.008. No difference in the rate of seropositive response between those who received the 2 type of vaccines was found (p=0.09). Pts with response level ≥ CR had a median antibody (Ab) titer (1242 U/ml, range 0.4-2500) significantly higher than those with ≤CR (221.5 U/ml, range 0.4- 2500), p Pts receiving PI (median Ab titer 156; range 0.4- 2500) and anti-CD38 MoAbs (median titer 265 U/ml; 0.4- 2500) containing regimens had a lower Ab titer than all the other pts (p=0.003 and p A distribution analysis of the Ab titer revealed a significant correlation between better humoral response and hematological response ≥ CR (p Multivariate analysis confirmed ≥ CR [OR 2.54, 95% CI 93-756], being in first line treatment [OR 2.10, CI 22-722] and R maintenance therapy [OR 4.53, CI 484-1233] as independent predictors of better humoral response at 1 month after 2 nd vaccine dose. In conclusion, mRNA vaccines provided a high seropositivity rate in pts in active MM treatment, with a better humoral response in pts achieving CR, those who received ASCT and receiving R maintenance. Immunoparesis was confirmed to be an unfavourable factor for the development of humoral response, as well as treatment with anti-CD-38 moAbs. Disclosures Mancuso: Celgene: Honoraria; Takeda: Honoraria; Sanofi: Honoraria; Amgen: Honoraria; Janssen: Honoraria. Zamagni: Takeda: Honoraria; Amgen: Honoraria; Bristol-Myers-Squibb: Honoraria; Janssen: Honoraria. Pantani: Amgen: Honoraria; Janssen: Honoraria. Rocchi: Amgen: Honoraria; GalxoSmithKline: Honoraria; Janssen: Honoraria. Rizzello: Amgen: Honoraria; GlaxoSmithKline: Honoraria; Sanofi: Honoraria. Tacchetti: Amgen: Honoraria; BMS/Celgene: Honoraria; Janssen: Honoraria; Takeda: Honoraria; AbbVie: Honoraria; Sanofi: Honoraria; GlaxoSmithKline: Honoraria; Oncopeptides: Honoraria. Zinzani: JANSSEN-CILAG: Other: Advisory board, Speakers Bureau; MSD: Consultancy, Other: Advisory board, Speakers Bureau; SANDOZ: Other: Advisory board; TG Therapeutics: Other: Advisory board, Speakers Bureau; GILEAD: Other: Advisory board, Speakers Bureau; SERVIER: Other: Advisory board, Speakers Bureau; BMS: Other: Advisory board, Speakers Bureau; CELLTRION: Other: Advisory board, Speakers Bureau; TAKEDA: Other: Advisory board, Speakers Bureau; ROCHE: Other, Speakers Bureau; EUSAPHARMA: Consultancy, Other, Speakers Bureau; KYOWA KIRIN: Other, Speakers Bureau; Incyte: Other, Speakers Bureau; NOVARTIS: Consultancy, Other, Speakers Bureau; ADC Therap.: Other; Beigene: Other, Speakers Bureau; VERASTEM: Consultancy, Other: Advisory board, Speakers Bureau. Cavo: Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel Accommodations, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Honoraria; Novartis: Honoraria; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bristol-Myers Squib: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.
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- 2021
33. Opposite activation of the Hedgehog pathway in CD138+ plasma cells and CD138−CD19+ B cells identifies two subgroups of patients with multiple myeloma and different prognosis
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Mauro Procacci, Nicoletta Testoni, Katia Mancuso, Marina Martello, Elena Zamagni, Enrica Borsi, Annalisa Pezzi, Lucia Pantani, Daniel Remondini, Carolina Terragna, Serena Rocchi, Beatrice Anna Zannetti, Barbara Santacroce, Giulia Marzocchi, Michele Cavo, Flores Dico, Paola Tacchetti, Giovanni Martinelli, Martello, Marina, Remondini, Daniel, Borsi, Enrica, Santacroce, Barbara, Procacci, M., Pezzi, Annalisa, Dico, F. A., Martinelli, Giovanni, Zamagni, Elena, Tacchetti, Paola, Pantani, Lucia, Testoni, Nicoletta, Marzocchi, Giulia, Rocchi, Serena, Zannetti, BEATRICE ANNA, Mancuso, Katia, Cavo, Michele, and Terragna, Carolina
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0301 basic medicine ,Cancer Research ,medicine.medical_specialty ,Antigens, CD19 ,Plasma Cells ,Mice, SCID ,Biology ,Plasma cell ,CD19 ,03 medical and health sciences ,Cell Line, Tumor ,hemic and lymphatic diseases ,Internal medicine ,Tumor Cells, Cultured ,medicine ,Animals ,Humans ,Hedgehog Proteins ,Hedgehog ,Multiple myeloma ,B-Lymphocytes ,Hematology ,Prognosis ,medicine.disease ,Hedgehog signaling pathway ,Haematopoiesis ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,Immunology ,Cancer research ,biology.protein ,Heterografts ,Syndecan-1 ,Stem cell ,Multiple Myeloma ,Signal Transduction - Abstract
Hyperactivation of the Hedgehog (Hh) pathway, which controls refueling of multiple myeloma (MM) clones, might be critical to disease recurrence. Although several studies suggest the Hh pathway is activated in CD138- immature cells, differentiated CD138+ plasma cells might also be able to self-renew by producing themselves the Hh ligands. We studied the gene expression profiles of 126 newly diagnosed MM patients analyzed in both the CD138+ plasma cell fraction and CD138-CD19+ B-cell compartment. Results demonstrated that an Hh-gene signature was able to cluster patients in two subgroups characterized by the opposite Hh pathway expression in mature plasma cells and their precursors. Strikingly, patients characterized by Hh hyperactivation in plasma cells, but not in their B cells, displayed high genomic instability and an unfavorable outcome in terms of shorter progression-free survival (hazard ratio: 1.92; 95% confidence interval: 1.19-3.07) and overall survival (hazard ratio: 2.61; 95% confidence interval: 1.26-5.38). These results suggest that the mechanisms triggered by the Hh pathway ultimately led to identify a more indolent vs a more aggressive biological and clinical subtype of MM. Therefore, patient stratification according to their molecular background might help the fine-tuning of future clinical and therapeutic studies.
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- 2016
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34. VarianThinker: a classification method to confidently approach the mutation heterogeneity in Multiple Myeloma
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Lucia Pantani, Carolina Terragna, Enrica Borsi, Marina Martello, Rosalinda Termini, Elena Zamagni, Paola Tacchetti, Andrea Poletti, Katia Mancuso, Vincenza Solli, Luca Nunzio Cifarelli, Michele Cavo, Lakpo Yaovi Mawulolo Agboyi, Poletti, Andrea, Martello, Marina, Solli, Vincenza, Borsi, Enrica, Termini, Rosalinda, Cifarelli, Luca Nunzio, Mawulolo Agboyi, Lakpo Yaovi, Pantani, Lucia, Zamagni, Elena, Tacchetti, Paola, Mancuso, Katia, Cavo, Michele, and Terragna, Carolina
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Bioinformatic ,Cancer Research ,business.industry ,Hematology ,Computational biology ,sequencing ,medicine.disease ,Oncology ,Mutation (genetic algorithm) ,Mutation ,Medicine ,Classification methods ,business ,Multiple myeloma - Published
- 2019
35. P-036: Implementation of IgH/k Next Generation Sequencing for Multiple Myeloma Minimal Residual Disease monitoring: advantages in patients’ management during daily clinical practice
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Gaia Mazzocchetti, Barbara Taurisano, Enrica Borsi, Carolina Terragna, Ilaria Rizzello, Ilaria Vigliotta, Vincenza Solli, Andrea Poletti, Ignazia Pistis, Katia Mancuso, Silvia Armuzzi, Lucia Pantani, Michele Cavo, Elena Zamagni, Paola Tacchetti, Serena Rocchi, and Marina Martello
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Oncology ,Cancer Research ,medicine.medical_specialty ,business.industry ,MRD Negativity ,Therapeutic algorithm ,Hematology ,medicine.disease ,Minimal residual disease ,DNA sequencing ,body regions ,Transplantation ,Clinical Practice ,hemic and lymphatic diseases ,Internal medicine ,medicine ,In patient ,business ,Multiple myeloma - Abstract
Background The introduction of novel agents into the therapeutic algorithm of Multiple Myeloma (MM) has led to remarkable improvements in the rate of Minimal Residual Disease (MRD) negative status. Sustained MRD negativity is a robust prognosticator and a driver of treatment strategies. Therefore, it is expected that MRD molecular tracking would become critical in the management of MM, and could be included in daily clinical practice. Aim To evaluate the performances of next generation sequencing (NGS), implemented as best practice in MM MRD daily evaluation. Methods A cohort of 166 newly diagnosed transplant-eligible and -ineligible MM pts were screened to define the ID clonotypes. MRD was firstly assessed at achievement of at least a very good partial response during maintenance, and thereafter once a year. In high-risk pts, MRD was also detected between 1° and 2° autologous stem-cell transplantation (ASCT). The ID clonotypes screening has been performed by NGS, using an assay covering IgH and Igk genes (Invivoscribe®). The MRD tracking has been done both by conventional ASO-qPCR and by NGS. Data were analyzed by Lymphotrack Dx and MRD software (Invivoscribe®). Results The ID clonotypes screening was successful in 158/166 pts (95%), even though a small proportion of pts resulted polyclonal (14/158). Overall, 63, 27 and 54 pts had IgH, Igk and IgH/k ID clonotypes, respectively, mainly restricted to the VH3 (47%) family genes. MRD assessment was performed by NGS in 124/144 pts (overall, 96 MRD samples for 64 pts monitored to date), with 10-5 sensitivity in most cases (75/96). 44 pts were assessed during maintenance and 23 achieved MRD-negativity. On the contrary, 20 pts were evaluated between 1° and 2° ASCT, resulting MRD-positive in all cases. Overall, few FU samples (13/96) were reported as “positive-not-quantifiable” (PNQ), since had residual disease levels of 10-7, much lower than the internal control. In a subset of 20 pts with trackable IgH/Igk sequences, pts-specific assays were designed, according to the EuroMRD guidelines. In these pts, MRD was tested both by ASO-qPCR (including a standard curve and healthy donor cells, to define the sensitivity and the specificity, respectively) and by NGS. Overall, ASO-qPCR allowed the tracking of a single MRD clone (with up to 10-4 sensitivity) in 12/20 pts (60%), whereas NGS was feasible in all of them, confirming the ASO-qPCR results, yet with higher sensitivity and >95% confidence. Moreover, in 2 cases, NGS allowed to disclose ASO-qPCR PNQ results due to nonspecific amplification, thus unveiling MRD negativity with 10-5 sensitivity. Conclusion NGS has been successfully implemented as best practice in the management of MM pts, showing the superiority of this method over ASO-qPCR conventional approach. The ID clonotype was defined in almost all pts included in the workflow, thus allowing their MRD molecular monitoring, according to the clinical requirements. Acknowledgment AIRC IG2018-22059
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- 2021
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36. OAB-059: Towards a comprehensive multimodal minimal residual disease assessment in multiple myeloma: the role of circulating cell-free DNA to define the extent of disease spreading
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Barbara Taurisano, Marina Martello, Carolina Terragna, Lucia Pantani, Ilaria Vigliotta, Ilaria Rizzello, Vincenza Solli, Enrica Borsi, Silvia Armuzzi, Andrea Poletti, Katia Mancuso, Serena Rocchi, Ignazia Pistis, Paola Tacchetti, Elena Zamagni, Gaia Mazzocchetti, and Michele Cavo
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Oncology ,Cancer Research ,medicine.medical_specialty ,business.industry ,Clone (cell biology) ,Hematology ,CD38 ,Plasma cell ,medicine.disease ,Minimal residual disease ,Circulating Cell-Free DNA ,genomic DNA ,medicine.anatomical_structure ,Internal medicine ,medicine ,Bone marrow ,business ,Multiple myeloma - Abstract
Background Multiple Myeloma (MM) is a plasma cell (PC) disorder characterized by the presence of multiple lytic lesions at the time of diagnosis. Recently, cell-free DNA (cfDNA) has proven to resume the heterogeneity of spatially distributed clones. However, the potential of cfDNA to track the evolutionary dynamics and the heterogeneity of MM, possibly anticipating the emergence of therapy resistant residual cells, remains to be confirmed. Aim of this study is to evaluate cfDNA at diagnosis and during follow-up in order to compare this approach with both bone marrow (BM) molecular and whole-body imaging residual disease assessment. Methods A total of 97 patients (pts) were screened at baseline and during follow-up with 18F-FDG PET/CT and NMR, and molecularly assessed by Ultra Low Pass-Whole Genome Sequencing (ULP-WGS). ULP-WGS was used to characterize both the neoplastic PC clone from BM (gDNA) and the cfDNA from peripheral blood. Data were analysed by ichorCNA and Clonality R packages. Results Overall, cfDNA tumour fraction (TF) at diagnosis was significantly lower as compared to gDNA TF [median (M) TF: 3.0%vs.74.4%, respectively]. Nevertheless, high cfDNA TF levels (49/97 pts = 50%, M cfDNA TF: 10%, range : 3.0-40.6%) correlated with high gDNA TF levels (M gDNA TF: 84%, range: 5.9-95.2%). Similarly, a significant correlation was shown between cfDNA TF and the BM plasma cells clone throughout disease progression, highlighting a parallel dynamics of tumour burden from SMM to MM to +3m post-induction (cfDNA TF vs. % CD138+/CD38+ BM cells: 1.5 vs 1.0; 3.0 vs. 2.3; 1.2 vs. 0.01, respectively, p: 0.008). Pts with high cfDNA TF were likely to have more sites of extramedullary disease (EMD) at PET-CT, a higher number of PET lesions and higher tumour metabolic activity, as compared to pts with low TF (EMD 8/49, 17% vs. 2/49, 3.4%; M n. PET lesions: 8 vs. 2; SUVmax: 12.9 vs. 3.9). Similarly, bone involvement as detected by MRI, was more evident in pts with high cfDNA TF (M n. focal lesions: 6 vs. 1). More interestingly, after 3 cycles of induction therapy, imaging and cfDNA TF dynamics were concordant: indeed, in those cases where FDG activity and focal lesions still persisted (4/10=40%: SUVmax 5.8; >2 PET lesions), cfDNA TF as well was still detectable (>1 TF).Finally, the comparison between cfDNA and BM genomic profiles showed an overall concordance of the copy number alterations (CNAs) landscape in most patients (83/97; 86.4%), whereas three patients (10/97; 10,3%) displayed a different genomic profile in cfDNA, as compared to BM. Conclusions although only few cases showed genomic evidence of spatial heterogeneity, in pts with high cfDNA TF, imaging data overall suggested a propensity to a metastatic spread of the disease. Future studies will be addressed to exploit the use of cfDNA in disease monitoring. Acknowledgements AIRC IG2018-22059.
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- 2021
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37. P-053: BoBafit: a Copy Number-clustering tool to refit and recalibrate the diploid region of Multiple Myeloma genomic profiles
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Enrica Borsi, Marina Martello, Carolina Terragna, Andrea Poletti, Michele Cavo, Barbara Taurisano, Gaia Mazzocchetti, Ilaria Vigliotta, Elena Zamagni, Vincenza Solli, and Silvia Armuzzi
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Cancer Research ,Oncology ,business.industry ,medicine ,Hematology ,Computational biology ,Ploidy ,medicine.disease ,business ,Cluster analysis ,Multiple myeloma - Published
- 2021
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38. Targeting the Endothelin-1 Receptors Curtails Tumor Growth and Angiogenesis in Multiple Myeloma
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William Vermi, Cristina Tecchio, Marco Presta, Luisa Lorenzi, Marco A. Cassatella, Enrica Borsi, Carolina Terragna, Giada Dal Collo, Mirella Belleri, Mauro Krampera, Nicola Tamassia, Arianna Giacomini, Mattia Bugatti, Anna Bagnato, Michele Gottardi, Anna Russignan, and Riccardo Bazzoni
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0301 basic medicine ,Cancer Research ,macitentan ,Angiogenesis ,medicine.drug_class ,medicine.medical_treatment ,angiogenesis ,endothelin-1 axis ,HIF-1α ,multiple myeloma ,lcsh:RC254-282 ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,medicine ,Autocrine signalling ,Receptor ,Original Research ,Macitentan ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Receptor antagonist ,Endothelin 1 ,Chorioallantoic membrane ,030104 developmental biology ,Cytokine ,Oncology ,chemistry ,030220 oncology & carcinogenesis ,Cancer research - Abstract
The endothelin-1 (ET-1) receptors were recently found to mediate pro-survival functions in multiple myeloma (MM) cells in response to autocrine ET-1. This study investigated the effectiveness of macitentan, a dual ET-1 receptor antagonist, in MM treatment, and the mechanisms underlying its activities. Macitentan affected significantly MM cell (RPMI-8226, U266, KMS-12-PE) survival and pro-angiogenic cytokine release by down-modulating ET-1-activated MAPK/ERK and HIF-1α pathways, respectively. HIF-1α silencing abrogated the ET-1 mediated induction of genes encoding for pro-angiogenic cytokines such as VEGF-A, IL-8, Adrenomedullin, and ET-1 itself. Upon exposure to macitentan, MM cells cultured in the presence of the hypoxia-mimetic agent CoCl2, exogenous ET-1, or CoCl2plus ET-1, down-regulated HIF-1α and the transcription and release of downstream pro-angiogenic cytokines. Consistently, macitentan limited significantly the basal pro-angiogenic activity of RPMI-8226 cells in chorioallantoic membrane assay. In xenograft mouse models, established by injecting NOG mice eitherviaintra-caudal vein with U266 or subcutaneously with RPMI-8226 cells, macitentan reduced effectively the number of MM cells infiltrating bone marrow, and the size and microvascular density of subcutaneous MM tumors. ET-1 receptors targeting by macitentan represents an effective anti-proliferative and anti-angiogenic therapeutic approach in preclinical settings of MM.
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- 2020
39. The genetic and genomic background of multiple myeloma patients achieving complete response after induction therapy with bortezomib, thalidomide and dexamethasone (VTD)
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Michele Cavo, Annamaria Brioli, Paola Tacchetti, Fabrizio Ciambelli, Enrica Borsi, Flores Dico, Carolina Terragna, Massimo Offidani, Barbara Santacroce, Marina Martello, Clotilde Cangialosi, Daniel Remondini, Ilaria Proserpio, Elena Zamagni, Giulia Marzocchi, Antonio Palumbo, Francesca Patriarca, Annalisa Pezzi, Clara Virginia Viganò, Giovanni De Sabbata, Giuseppe Levi, Giovanni Martinelli, Lucia Pantani, Gastone Castellani, Terragna, Carolina, Remondini, Daniel, Martello, Marina, Zamagni, Elena, Pantani, Lucia, Patriarca, Francesca, Pezzi, Annalisa, Levi, Giuseppe, Offidani, Massimo, Proserpio, Ilaria, De Sabbata, Giovanni, Tacchetti, Paola, Cangialosi, Clotilde, Ciambelli, Fabrizio, Viganò, Clara Virginia, Dico, Flores Angela, Santacroce, Barbara, Borsi, Enrica, Brioli, Annamaria, Marzocchi, Giulia, Castellani, Gastone, Martinelli, Giovanni, Palumbo, Antonio, and Cavo, Michele
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Male ,0301 basic medicine ,medicine.medical_specialty ,SNP ,Antineoplastic Agents ,multiple myeloma ,gene expression profile ,SNPs ,VTD ,complete response ,Polymorphism, Single Nucleotide ,Dexamethasone ,Disease-Free Survival ,Bortezomib ,03 medical and health sciences ,0302 clinical medicine ,First line therapy ,Induction therapy ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Humans ,Differential expression ,Multiple myeloma ,Complete response ,Therapeutic strategy ,Genetics ,Bortezomib/thalidomide ,Gynecology ,Copy number loss ,business.industry ,Remission Induction ,Induction Chemotherapy ,Middle Aged ,medicine.disease ,Thalidomide ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Female ,business ,Research Paper - Abstract
// Carolina Terragna 1 , Daniel Remondini 2 , Marina Martello 1 , Elena Zamagni 1 , Lucia Pantani 1 , Francesca Patriarca 3 , Annalisa Pezzi 1 , Giuseppe Levi 2 , Massimo Offidani 4 , Ilaria Proserpio 5 , Giovanni De Sabbata 6 , Paola Tacchetti 1 , Clotilde Cangialosi 7 , Fabrizio Ciambelli 8 , Clara Virginia Vigano 9 , Flores Angela Dico 1 , Barbara Santacroce 1 , Enrica Borsi 1 , Annamaria Brioli 1 , Giulia Marzocchi 1 , Gastone Castellani 2 , Giovanni Martinelli 1 , Antonio Palumbo 10 , Michele Cavo 1 1 ”Seragnoli” Institute of Hematology, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy 2 Department of Physics and Astronomy (DIFA), Bologna University, Bologna, Italy 3 Clinica Ematologica, DISM, University of Udine, Udine, Italy 4 Clinica di Ematologia, A.O.U. Ospedali Riuniti di Ancona, Ancona, Italy 5 U.O Oncologia Medica, Ospedale di Circolo e Fondazione Macchi, Varese, Italy 6 Ematologia Clinica, A.O.U. Ospedali Riuniti, Trieste, Italy 7 Hematology Division UTMO, Azienda “Ospedali Riuniti Villa Sofia-Cervello” Presidio Ospedaliero V.Cervello, Palermo, Italy 8 S.C.Oncologia Medica, A.O. Sant’Antonio Abate, Gallarate, Varese, Italy 9 Unita Operativa di Ematologia, Istituti Ospitalieri di Cremona, Cremona, Italy 10 Myeloma Unit, Division of Hematology, University of Torino, A.O.U. Citta della Salute e della Scienza di Torino, Torino, Italy Correspondence to: Michele Cavo, e-mail: michele.cavo@unibo.it Keywords: multiple myeloma, gene expression profile, SNPs, VTD, complete response Received: August 06, 2015 Accepted: September 16, 2015 Published: November 09, 2015 ABSTRACT The prime focus of the current therapeutic strategy for Multiple Myeloma (MM) is to obtain an early and deep tumour burden reduction, up to the level of complete response (CR). To date, no description of the characteristics of the plasma cells (PC) prone to achieve CR has been reported. This study aimed at the molecular characterization of PC obtained at baseline from MM patients in CR after bortezomib-thalidomide-dexamethasone (VTD) first line therapy. One hundred and eighteen MM primary tumours obtained from homogeneously treated patients were profiled both for gene expression and for single nucleotide polymorphism genotype. Genomic results were used to obtain a predictor of sensitivity to VTD induction therapy, as well as to describe both the transcription and the genomic profile of PC derived from MM with subsequent optimal response to primary induction therapy. By analysing the gene profiles of CR patients, we identified a 5-gene signature predicting CR with an overall median accuracy of 75% (range: 72%–85%). In addition, we highlighted the differential expression of a series of genes, whose deregulation might explain patients’ sensitivity to VTD therapy. We also showed that a small copy number loss, covering 606Kb on chromosome 1p22.1 was the most significantly associated with CR patients.
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- 2015
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40. PET/CT Improves the Definition of Complete Response and Allows to Detect Otherwise Unidentifiable Skeletal Progression in Multiple Myeloma
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Stefano Fanti, Giulia Marzocchi, Serena Rocchi, Michele Cavo, Annamaria Brioli, Beatrice Anna Zannetti, Marina Martello, Ilaria Rambaldi, Elena Zamagni, Katia Mancuso, Annalisa Pezzi, Paola Tacchetti, Enrica Borsi, Cristina Nanni, Ilaria Rizzello, Lucia Pantani, Carolina Terragna, Zamagni, Elena, Nanni, Cristina, Mancuso, Katia, Tacchetti, Paola, Pezzi, Annalisa, Pantani, Lucia, Zannetti, Beatrice, Rambaldi, Ilaria, Brioli, Annamaria, Rocchi, Serena, Terragna, Carolina, Martello, Marina, Marzocchi, Giulia, Borsi, Enrica, Rizzello, Ilaria, Fanti, Stefano, and Cavo, Michele
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Adult ,Male ,Cancer Research ,Multivariate analysis ,Young Adult ,Fluorodeoxyglucose F18 ,medicine ,Humans ,Combined Modality Therapy ,Stage (cooking) ,In Situ Hybridization, Fluorescence ,Survival analysis ,Multiple myeloma ,Aged ,Neoplasm Staging ,Retrospective Studies ,Aged, 80 and over ,PET-CT ,business.industry ,Cancer ,Retrospective cohort study ,Middle Aged ,Prognosis ,medicine.disease ,Survival Analysis ,Treatment Outcome ,8F-FDG PET/CT, MM ,Oncology ,Positron-Emission Tomography ,Disease Progression ,Female ,Multiple Myeloma ,Tomography, X-Ray Computed ,Nuclear medicine ,business ,Follow-Up Studies - Abstract
Purpose: To evaluate the role of 18F-FDG PET/CT in 282 symptomatic multiple myeloma patients treated up-front between 2002 and 2012. Experimental Design: All patients were studied by PET/CT at baseline, during posttreatment follow-up, and at the time of relapse. Their median duration of follow-up was 67 months. Results: Forty-two percent of the patients at diagnosis had >3 focal lesions, and in 50% SUVmax was >4.2; extramedullary disease was present in 5%. On multivariate analysis, ISS stage 3, SUVmax >4.2, and failure to achieve best complete response (CR) were the leading factors independently associated with shorter progression-free survival (PFS) and overall survival (OS). These 3 variables were used to construct a prognostic scoring system based on the number of risk factors. After treatment, PET/CT negativity (PET-neg) was observed in 70% of patients, whereas conventionally defined CR was achieved in 53%. Attainment of PET-neg favorably influenced PFS and OS. PET-neg was an independent predictor of prolonged PFS and OS for patients with conventionally defined CR. Sixty-three percent of patients experienced relapse or progression; in 12%, skeletal progression was exclusively detected by systematic PET/CT performed during follow-up. A multivariate analysis revealed that persistence of SUVmax >4.2 following first-line treatment was independently associated with exclusive PET/CT progression. Conclusions: PET/CT combined with ISS stage and achievement or not of CR on first-line therapy sorted patients into different prognostic groups. PET/CT led to a more careful evaluation of CR. Finally, in patients with persistent high glucose metabolism after first-line treatment, PET/CT can be recommended during follow-up, to screen for otherwise unidentifiable progression. Clin Cancer Res; 21(19); 4384–90. ©2015 AACR.
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- 2015
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41. Clonal and subclonal TP53 molecular impairment is associated with prognosis and progression in multiple myeloma.
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Martello, M., Poletti, A., Borsi, E., Solli, V., Dozza, L., Barbato, S., Zamagni, E., Tacchetti, P., Pantani, L., Mancuso, K., Vigliotta, I., Rizzello, I., Rocchi, S., Armuzzi, S., Testoni, N., Marzocchi, G., Martinelli, G., Cavo, M., and Terragna, C.
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MULTIPLE myeloma ,DELETION mutation ,PROGNOSIS ,DISEASE progression ,CHROMOSOMES - Abstract
Aberrations on TP53, either as deletions of chromosome 17p (del17p) or mutations, are associated with poor outcome in multiple myeloma (MM), but conventional detection methods currently in use underestimate their incidence, hindering an optimal risk assessment and prognostication of MM patients. We have investigated the altered status of TP53 gene by SNPs array and sequencing techniques in a homogenous cohort of 143 newly diagnosed MM patients, evaluated both at diagnosis and at first relapse: single-hit on TP53 gene, either deletion or mutation, detected both at clonal and sub-clonal level, had a minor effect on outcomes. Conversely, the coexistence of both TP53 deletion and mutation, which defined the so-called double-hit patients, was associated with the worst clinical outcome (PFS: HR 3.34 [95% CI: 1.37–8.12] p = 0.008; OS: HR 3.47 [95% CI: 1.18–10.24] p = 0.02). Moreover, the analysis of longitudinal samples pointed out that TP53 allelic status might increase during the disease course. Notably, the acquisition of TP53 alterations at relapse dramatically worsened the clinical course of patients. Overall, our analyses showed these techniques to be highly sensitive to identify TP53 aberrations at sub-clonal level, emphasizing the poor prognosis associated with double-hit MM patients. [ABSTRACT FROM AUTHOR]
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- 2022
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42. Treatment optimization for Multiple Myeloma: schedule-dependent synergistic cytotoxicity of pomalidomide and carfilzomib in an in vitro and ex-vivo model
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Katia Mancuso, Enrica Borsi, Barbara Santacroce, Lucia Pantani, Michele Cavo, Carolina Terragna, Elena Zamagni, Paola Tacchetti, Serena Rocchi, Marina Martello, Borsi, Enrica, Martello, Marina, Santacroce, Barbara, Zamagni, Elena, Tacchetti, Paola, Pantani, Lucia, Mancuso, Katia, Rocchi, Serena, Cavo, Michele, and Terragna, Carolina
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Drug ,media_common.quotation_subject ,Drug synergism ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Medicine ,Multiple myeloma ,media_common ,Synergistic cytotoxicity ,business.industry ,Carfilzomib ,Hematology ,Pomalidomide ,medicine.disease ,In vitro ,chemistry ,030220 oncology & carcinogenesis ,Cancer research ,business ,Multiple Myeloma ,Ex vivo ,030215 immunology ,medicine.drug - Abstract
Proteasome inhibitors (PIs) and immunomodulatory drugs (IMiDs), significantly enhanced the depth of response and prolonged the survival of Multiple Myeloma (MM) patients, although not all patients respond favourably to treatment. Optimization of treatment schedules and dosages of IMiDs and PIs might lead to improved treatment efficacy. In this study we aimed at exploring the optimal schedule of IMiDs and PIs in both in vitro models, including bone marrow (BM) microenvironment simulation, and an ex-vivo model using patient-derived BM samples. MM cells were exposed to IMiDs and PIs either simultaneously or sequentially. Using the median effect method of Chou Talalay, we evaluated the combination indices for simultaneous and sequential treatment schedules. We demonstrated schedule-dependent synergistic cytotoxicity for the combination of IMiDs and PIs and a maximal apoptosis was observed in IMiDs pre-exposure schedule. The superior activity of this schedule was maintained even in BM microenvironment models, and was further confirmed using patient-derived samples. Our data overall suggest that the administration of IMiDs before PIs can improve treatment efficacy. Clinical trials are needed to investigate the most effective schedule, which could be to start the administration of IMiDs before PIs to increase cells killing.
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- 2018
43. Inter-Cell Networking Profiling Enables Comprehensive Characterization of Immune-Mediated Activity of Anti-CD38 Therapy through Ex-Vivo Analysis of Multiple Myeloma Patients
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Marina Martello, Nicola Pecorari, Rita Ruggiano, Enrica Borsi, Dario Biscarini, Laura Rocchi, Luca Giulianelli, Elena Zamagni, Viviana Guadagnuolo, Silvia Bocchi, Massimo Bocchi, Michele Cavo, Andrea Faenza, Carolina Terragna, Alice Bettelli, Laura Rambelli, Roberto Guerrieri, Matteo Pisani, Marco Bettelli, American Society of Hematology, Bettelli, Alice, Ruggiano, Rita, Bocchi, Silvia, Rocchi, Laura, Faenza, Andrea, Borsi, Enrica, Terragna, Carolina, Zamagni, Elena, Martello, Marina, Bettelli, Marco, Rambelli, Laura, Guadagnuolo, Viviana, Pecorari, Nicola, Giulianelli, Luca, Pisani, Matteo, Biscarini, Dario, Cavo, Michele, Guerrieri, Roberto, and Bocchi, Massimo
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biology ,cd38, multiple myeloma, antibodies, daratumumab, immunotherapy, neoplasms, antigens, cd16, antineoplastic agents, bone marrow specimen, cd56 antigens ,business.industry ,medicine.medical_treatment ,Immunology ,Cell ,Daratumumab ,Cell Biology ,Hematology ,Immunotherapy ,CD38 ,medicine.disease ,Biochemistry ,Immune system ,medicine.anatomical_structure ,biology.protein ,Cancer research ,medicine ,Antibody ,business ,Multiple myeloma ,Ex vivo - Abstract
There has been a fast progress in clinical use of antibody-based immunotherapy, given the superior efficacy commonly achieved in clinic and the limited toxicity. However, personalization of treatment remains of major importance, both to achieve better clinical performance for monotherapy and to identify the best combinations on a patient-by-patient basis. Predicting patient's response is complex due to the need to characterize both tumor response and immunologic mechanisms possibly activated by the therapy, including antibody dependent cellular cytotoxicity (ADCC). We present the Inter-Cell Networking Profiling (ICNP), a novel analytical method enabling a comprehensive and precise characterization of the modulatory effect of immunotherapies on immune-tumor cell interactions. ICNP works on the Open Microwell (OMW) microfluidic system which recreates 20,000 unique cell clusters from ex-vivo patient samples and exposes them to anticancer drugs. We validated the ICNP using multiple myeloma (MM) patient samples to characterize the efficacy of Daratumumab, an anti-CD38 antibody (Ab). Bone marrow samples in EDTA were collected from 11 MM patients. 8 samples were processed by Ficoll-Paque, preserving the original composition of effector (E) and target (T) cells, i.e. NK and plasma cells respectively. 3 samples were processed to obtain co-cultures of WBC depleted of plasma cells (which include NK cells) and U-266 MM cell line. NK and plasma cells were stained with anti-CD16/CD56 and anti-CD138 fluorescently-labeled Abs, respectively. Propidium Iodide (PI) was used as death marker. A statistical model was created to project the optimal experimental setup (E:T ratio, cell concentration) to maximize the co-localization of E/T cells in the 20,000 microwells of the OMW platform. After seeding, cells were incubated with Daratumumab 10µg/mL or no drug and analyzed through fluorescence time lapse microscopy for up to 12 hours. ICNP analysis first separates microwells with both E/T cells in close proximity from those not featuring both cell types (Fig 1A). Then, anti-CD38 efficacy is evaluated in microwells with E/T co-localization, thus implementing a miniaturized ADCC assay (Fig 1B). At the same time, spontaneous NK activity is measured in microwells with E/T co-localization and no drug, while direct effect of the drug on target cells can be measured in microwells with T but not E cells. We first validated our statistical model of co-localization in microwells against the actual number of wells with E/T co-localization (correlation R2: 0.79-0.97, n=5). Then, we characterized the immune composition of 8 MM patients samples with the OMW, finding that E/T cell fractions were in the ranges 5-21% (E) and 1-28% (T). Interestingly, according to our statistical model, co-localization occurs in at least 1% of microwells for all the 8 samples, making ICNP applicable with good statistical significance in the OMW system on ex-vivo clinical samples without any pre-enrichment. Finally, ICNP was evaluated on 4 cases (3 obtained by mixing patient's WBC with U-266 MM cell line and 1 complete MM patient sample). We measured the effect of anti-CD38 Ab using i) the standard approach, considering all microwells regardless of the co-presence of E and T; ii) ICNP approach, considering only microwells featuring E/T co-localization. Results show that drug effect is much evident with ICNP in all the 4 cases with an average increase in target cell death of 40%, indicating a higher sensitivity of this approach than the averaged analysis (Fig 1C, right). Importantly, in one case, the standard analysis did not identify significant differences between anti-CD38 treated and control cells, that could instead be observed with ICNP (p ICNP proved to enable a comprehensive profiling of the immune system by evaluating in one test the immune composition and the fitness of immune cells, both native and drug-treated. These results open the opportunity to develop functional precision medicine approaches for predicting patient's response to drugs with immune-mediated mechanisms of action. AB and RR equally contributed Figure 1 Disclosures Bettelli: CellPly.S.r.l.: Employment. Ruggiano:Cellply S.r.l.: Employment. Bocchi:CellPly S.r.l.: Employment. Rocchi:CellPly.S.r.l.: Employment. Faenza:CellPly S.r.l.: Employment. Zamagni:Janssen: Honoraria, Other: Advisory board, Speakers Bureau; Amgen: Honoraria, Other: Advisory board, Speakers Bureau; BMS: Honoraria, Other: Advisory Board, Speakers Bureau; Takeda: Honoraria, Speakers Bureau; Sanofi: Honoraria, Other: Advisory Board, Speakers Bureau; Celgene Corporation: Honoraria, Other: Advisory board, Speakers Bureau. Bettelli:CellPly S.r.l.: Employment. Rambelli:CellPly S.r.l.: Employment. Guadagnuolo:CellPly S.r.l.: Employment. Pecorari:CellPly S.r.l.: Employment. Giulianelli:CellPly S.r.l.: Employment. Pisani:CellPly S.r.l.: Employment. Biscarini:CellPly S.r.l.: Employment. Cavo:amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; bms: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel accommodations, Speakers Bureau; sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; novartis: Honoraria; takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel accommodations, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Guerrieri:CellPly S.r.l.: Equity Ownership. Bocchi:CellPly S.r.l.: Equity Ownership, Membership on an entity's Board of Directors or advisory committees.
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- 2019
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44. Prognostic or predictive value of circulating cytokines and angiogenic factors for initial treatment of multiple myeloma in the GIMEMA MM0305 randomized controlled trial
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Fortunato Morabito, Angelo Vacca, Enrica Antonia Martino, Giovanna Leonardi, Mariella Grasso, Maria Teresa Petrucci, Alessandra Larocca, Paola Omedè, Vittorio Montefusco, Antonietta Falcone, Giulia Benevolo, Carolina Terragna, Ilaria Saltarella, Pellegrino Musto, Roberto Ria, Lorenzo De Paoli, Francesca Patriarca, Sara Bringhen, Chiara Nozzoli, Daniela Gottardi, Vincenzo Callea, Nicola Giuliani, Manuela Rizzo, Massimo Offidani, Antonio Palumbo, Luca Baldini, Mario Boccadoro, Tommasina Guglielmelli, and Franco Dammacco
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0301 basic medicine ,Oncology ,Male ,Vascular Endothelial Growth Factor A ,Response rate ,Cancer Research ,Becaplermin ,law.invention ,0302 clinical medicine ,Randomized controlled trial ,law ,Bone Marrow ,Multiple myeloma ,Blood plasma ,Antineoplastic Combined Chemotherapy Protocols ,Overall survival ,Aged, 80 and over ,Hematology ,Bortezomib ,Hepatocyte Growth Factor ,Progression-free survival ,lcsh:Diseases of the blood and blood-forming organs ,Middle Aged ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Prognosis ,medicine.anatomical_structure ,Angiogenic factors ,030220 oncology & carcinogenesis ,Female ,Fibroblast Growth Factor 2 ,medicine.drug ,medicine.medical_specialty ,lcsh:RC254-282 ,03 medical and health sciences ,Internal medicine ,medicine ,Biomarkers, Tumor ,Humans ,Molecular Biology ,Aged ,lcsh:RC633-647.5 ,business.industry ,Research ,medicine.disease ,Clinical trial ,030104 developmental biology ,Logistic Models ,ROC Curve ,Bone marrow ,business ,Follow-Up Studies - Abstract
Background Several new drugs are approved for treatment of patients with multiple myeloma (MM), but no validated biomarkers are available for the prediction of a clinical outcome. We aimed to establish whether pretreatment blood and bone marrow plasma concentrations of major cytokines and angiogenic factors (CAFs) of patients from a phase 3 trial of a MM treatment could have a prognostic and predictive value in terms of response to therapy and progression-free and overall survival and whether these patients could be stratified for their prognosis. Methods Blood and bone marrow plasma levels of Ang-2, FGF-2, HGF, VEGF, PDGF-β, IL-8, TNF-α, TIMP-1, and TIMP-2 were determined at diagnosis in MM patients enrolled in the GIMEMA MM0305 randomized controlled trial by an enzyme-linked immunosorbent assay (ELISA). These levels were correlated both reciprocally and with the type of therapy and patients’ characteristics and with a group of non-MM patients as controls. Results No significant differences were detected between the blood and bone marrow plasma levels of angiogenic cytokines. A cutoff for each CAF was established. The therapeutic response of patients with blood plasma levels of CAFs lower than the cutoff was better than the response of those with higher levels in terms of percentage of responding patients and quality of response. Conclusion FGF-2, HGF, VEGF, and PDGF-β plasma levels at diagnosis have predictive significance for response to treatment. The stratification of patients based on the levels of CAFs at diagnosis and their variations after therapy is useful to characterize different risk groups concerning outcome and response to therapy. Trial registration Clinical trial information can be found at the following link: NCT01063179 Electronic supplementary material The online version of this article (10.1186/s13045-018-0691-4) contains supplementary material, which is available to authorized users.
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- 2019
45. Treatment optimization for multiple myeloma: schedule-dependent synergistic cytotoxicity of pomalidomide and carfilzomib in
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Enrica, Borsi, Marina, Martello, Barbara, Santacroce, Elena, Zamagni, Paola, Tacchetti, Lucia, Pantani, Katia, Mancuso, Serena, Rocchi, Michele, Cavo, and Carolina, Terragna
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Dose-Response Relationship, Drug ,Cell Survival ,Cell Line, Tumor ,Antineoplastic Combined Chemotherapy Protocols ,Humans ,Immunologic Factors ,Apoptosis ,Drug Synergism ,Multiple Myeloma ,Online Only Articles ,Oligopeptides ,Proteasome Inhibitors ,Thalidomide - Published
- 2018
46. Analysis of the genomic and transcriptomic landscape of chemoresistant multiple myeloma
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Cristiana Carniti, Michele Cavo, Vittorio Montefusco, Marina Martello, Chiara De Philippis, Giulia Biancon, Tina Bagratuni, Silvia Gimondi, Carolina Terragna, Filippo Bagnoli, Meletios A. Dimopoulos, Andrea Devecchi, Antonio Vendramin, Loris De Cecco, Paolo Corradini, Bachisio Ziccheddu, Efstathios Kastritis, Maria Luisa Sensi, Niccolo Bolli, Matteo Dugo, and Francesco Maura
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Transcriptome ,Cancer Research ,Oncology ,business.industry ,Medicine ,Hematology ,Computational biology ,business ,medicine.disease ,Multiple myeloma - Published
- 2019
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47. Rare, but complex chromosomal rearrangements, defined 'Chromoanagenesis', caused by single-step or stepwise catastrophic genomic events, significantly impact on Multiple Myeloma patients
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Carolina Terragna, Luca Nunzio Cifarelli, Rosalinda Termini, Vincenza Solli, Nicoletta Testoni, Elena Zamagni, Lucia Pantani, Andrea Poletti, Lakpo Yaovi Mawulolo Agboyi, Marina Martello, Katia Mancuso, Enrica Borsi, Michele Cavo, Paola Tacchetti, and Giulia Marzocchi
- Subjects
Cancer Research ,Oncology ,business.industry ,Cancer research ,Medicine ,Single step ,Hematology ,business ,medicine.disease ,Multiple myeloma - Published
- 2019
- Full Text
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48. Bortezomib-based therapy combined with high cut-off hemodialysis is highly effective in newly diagnosed multiple myeloma patients with severe renal impairment
- Author
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Katia Mancuso, Marisa Santostefano, Giulia Marzocchi, Paola Tacchetti, Serena Rocchi, Elena Mancini, Elena Zamagni, Enrica Borsi, Annalisa Pezzi, Raffaella Rizzo, Michele Cavo, Annamaria Brioli, Antonio Santoro, Carolina Terragna, Lucia Pantani, Lucia Barbara De Sanctis, and Beatrice Anna Zannetti
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Creatinine ,medicine.medical_specialty ,Bortezomib ,business.industry ,medicine.medical_treatment ,Urology ,Renal function ,Hematology ,medicine.disease ,Surgery ,chemistry.chemical_compound ,chemistry ,Median follow-up ,medicine ,Hemodialysis ,business ,Dialysis ,Multiple myeloma ,Kidney disease ,medicine.drug - Abstract
Multiple myeloma (MM) is often associated with renal insufficiency (RI) which adversely influences the prognosis. Several studies demonstrated that bortezomib can improve both renal function and outcome. We prospectively evaluated 21 newly diagnosed MM patients with severe renal impairment secondary to tubular-interstitial damage, most of them due to myeloma kidney, who were primarily treated with bortezomib-based therapy combined with high cut-off hemodialysis (HCOD). The median serum creatinine level at baseline was 6.44 mg dL(-1) and calculated median estimated glomerular filtration rate (eGFR), according to Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation, was 8 mL/min/1.73 m(2) . Serum free light chain (sFLC) median concentration was 6,040 mg L(-1) . Post induction and best stringent complete response rates were 19 and 38%, respectively. Responses were fast, occurring within a median of 1.4 months. The combination of bortezomib and HCOD led to a prompt and remarkable (>90%) decrease in sFLC levels. Sixteen patients (76%) became dialysis independent within a median of 32 days. With a median follow up of 17.2 months, the 3-year PFS and OS were 76 and 67%, respectively. No early deaths were observed. This study demonstrates that incorporation of bortezomib into induction therapy combined with HCOD is a highly effective strategy in rescuing renal function and improving outcomes in patients with MM and RI.
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- 2015
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49. Multiple myeloma: disease response assessment
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Carolina Terragna, Paola Tacchetti, Elena Zamagni, Michele Cavo, Zamagni, Elena, Tacchetti, Paola, Terragna, Carolina, and Cavo, Michele
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medicine.medical_specialty ,multiparameter flow cytometry ,Neoplasm, Residual ,Disease Response ,Myeloma protein ,Multimodal Imaging ,Flow cytometry ,03 medical and health sciences ,0302 clinical medicine ,Bone Marrow ,Internal medicine ,Outcome Assessment, Health Care ,medicine ,Humans ,Multiple myeloma ,next generation sequencing ,Hematology ,medicine.diagnostic_test ,business.industry ,Minimal residual disease ,medicine.disease ,Flow Cytometry ,FDG PET/CT ,medicine.anatomical_structure ,Myeloma Proteins ,Treatment Outcome ,030220 oncology & carcinogenesis ,Radiology ,Bone marrow ,Monoclonal protein ,business ,Multiple Myeloma ,prognosi ,Biomarkers ,030215 immunology - Abstract
Precise assessment of response to therapy is of high importance in every phase of multiple myeloma (MM). In addition to the well-established role of monoclonal protein for clinical monitoring, several methods of minimal residual disease evaluation, both inside and outside the bone marrow (BM), are to date available. Next generation flow cytometry and sequencing are probably the best approaches at the BM level, being highly sensitive and uniformly applied. FDG PET/CT is the best imaging technique for evaluating and monitoring response to therapy outside the BM. Functional whole-body MRI techniques (DCE and DWI) seem promising for response evaluation and need further studies. Standardization of most of these techniques is in progress.
- Published
- 2016
50. Bortezomib- and thalidomide-induced peripheral neuropathy in multiple myeloma: clinical and molecular analyses of a phase 3 study
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Guido Cavaletti, Patrizia Tosi, Marina Martello, Monica Galli, Michele Cavo, Francesca Elice, Antonio Lazzaro, Maria Teresa Petrucci, Alessandro Gozzetti, Elena Zamagni, Annalisa Pezzi, Carolina Terragna, Lucia Pantani, Miriana Ruggieri, Antonio Palumbo, Paola Tacchetti, Luca Baldini, Jacopo Peccatori, Vittorio Montefusco, and Serena Rocchi
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Oncology ,medicine.medical_specialty ,Pathology ,Bortezomib ,business.industry ,Phases of clinical research ,Hematology ,medicine.disease ,Thalidomide ,Transplantation ,Peripheral neuropathy ,Internal medicine ,medicine ,Autologous transplantation ,business ,Survival analysis ,Multiple myeloma ,medicine.drug - Abstract
A subanalysis of the GIMEMA-MMY-3006 trial was performed to characterize treatment-emergent peripheral neuropathy (PN) in patients randomized to thalidomide-dexamethasone (TD) or bortezomib-TD (VTD) before and after double autologous transplantation (ASCT) for multiple myeloma (MM). A total of 236 patients randomized to VTD and 238 to TD were stratified according to the emergence of grade ≥2 PN. Gene expression profiles (GEP) of CD138+ plasma cells were analyzed in 120 VTD-treated patients. The incidence of grade ≥2 PN was 35% in the VTD arm and 10% in the TD arm (P
- Published
- 2014
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