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Purpose: The PREINSUT study characterized factors predictive of response to sunitinib given before planned nephrectomy in patients with metastatic renal cell carcinoma (mRCC).Patients and Methods: This French multicenter, prospective, open-label, phase II trial (NCT00930345) included treatment-naïve patients with clear-cell mRCC. Patients received two cycles of sunitinib before nephrectomy. The primary objective was to evaluate the potential of circulating angiogenesis-related biomarkers measured before and on treatment for identifying responders based on primary renal tumor (PRT) size change. Secondary objectives were to evaluate the ability of biomarkers to predict progression-free survival (PFS) and overall survival (OS).Results: Thirty-two patients were enrolled. The median PFS was 4.5 months, and the median OS was 12.4 months. OS was significantly longer in responding patients (28.8 vs. 11.1 months; P = 0.03). Of 27 patients evaluable for PRT response, nine (33.3%) had a ≥10% decrease in PRT size. Baseline biomarkers significantly associated with outcome were endothelial progenitor cells (PRT response); vascular endothelial growth factor (VEGF)-A, stromal cell–derived factor-1 (SDF-1), soluble VEGF receptors (sVEGFR)1 and 2 (PFS); and SDF-1 and sVEGFR1 (OS). During treatment, changes in biomarkers associated with outcome were SDF-1 and platelet-derived growth factor (PDGF)-BB (PRT response), sVEGFR2 (PFS), and SDF-1 and sVEGFR1 (OS). There was no correlation between plasma sunitinib or its active metabolite steady-state trough concentrations and clinical outcome.Conclusions: Angiogenesis-related parameters that could reflect hypoxia seem to be associated with worse outcome in mRCC. As blood biomarkers are not subjected to tumor heterogeneity and allow longitudinal follow-up, circulating angiogenesis profile has a promising place in antiangiogenic therapy guidance. Clin Cancer Res; 24(22); 5534–42. ©2018 AACR.

PDF file, 31K, Description of mean median min and max values for each biomarker.

Summary of currently available data looking at biomarkers during antiantiogenic therapy

Kaplan-Meier analysis of progression-free survival (PFS; A-D) and overall survival (OS; E-F) according to baseline biomarker levels. HR, hazard ratio; CI, confidence interval.

Purpose: Intermediate/high-risk operated patients with head and neck cancer may benefit from the addition of EGF receptor (EGFR) inhibitor gefitinib to chemoradiation. This study was designed to assess improved outcomes and identify predictive biomarkers.Experimental Design: Patients provided informed consent for tumor biomarker analyses and, when eligible, were further enrolled in the therapeutic CARISSA multicenter randomized phase II trial of postoperative irradiation with cisplatin + gefitinib (GORTEC 2004-02-NCT00169221).Results: Seventy-nine patients were included in the biomarker study, whereas 27 did not meet prerequisites for randomization between gefitinib and placebo. Two-year disease-free survival (DFS) rate was 65.0% and did not differ between randomized patients treated with gefitinib or placebo (P = 0.85). The similarity of DFS curves between nonrandomized patients (n = 27), randomized patients without gefitinib (n = 27), and randomized patients receiving gefitinib (n = 25), and similar histoclinical parameter distributions for all groups, allowed us to conduct statistical analyses on the entire population. On multivariate analysis, elevated expression of PAK1 by Western blotting, CD31 and membranous insulin-like growth factor 1 receptor (IGF1R) both by immunohistochemistry was significantly associated with shorter DFS. There was a significant interaction between IGF1R and gefitinib. Gefitinib abolished the prognostic discriminative power of high IGF1R expression; patients with elevated IGF1R expression benefited from gefitinib whereas those with low IGF1R fared worse.Conclusion: Gefitinib treatment affords no significant clinical benefit on DFS in an unselected population of patients with head and neck cancer. Our results point to the potential advantage of personalizing treatment for gefitinib based on tumoral IGF1R expression. This should foster confirmatory analyses in trials involving EGFR-targeting agents. Clin Cancer Res; 18(18); 5123–33. ©2012 AACR.

INTRODUCTION: PREDICT is an online tool that estimates the 10-year breast cancer overall survival (10OS) with different adjuvant treatment combination. EndoPredict® is a genetic biomarker to guide decision on adjuvant systemic therapy in hormone-positive early-stage breast cancer. No study had ever correlated the estimated outcomes of PREDICT and EndoPredict® results. MATERIAL AND METHODS: We collected data of 249 patients with a 12-gene molecular test (EndoPredict®). EndoPredict® risk-score (EPclin) categorized patients in low (EPclin < 3.3) or high-risk (EPclin ≥ 3.3) of recurrence. The benefit of chemotherapy and the overall survival at 10 years (10OS) with endocrine therapy alone or with chemoendocrine therapy was estimated with PREDICT. RESULTS: From March 2017 to May 2022, 249 EndoPredict® tests (39% low-risk EPClin and 61% high-risk EPClin) were evaluated. In high-risk EPclin population compared with low-risk EPclin, 15% vs 6% (p=0.047) had a previous breast cancer event, 31% vs 14% a total mastectomy (p=0.006), 23% vs 10% do not express the progesterone receptor (p=0.011), 11% vs 5% had a SBR grade III (p=0.004) and 84% vs 63% had a Ki67 higher than 10% (pCONCLUSION: EPclin seemed to be a predictive factor of adjuvant chemotherapy at 10OS. Results of prospective trials UNIRAD and RESCUE are pending.

Irinotecan is a topoisomerase inhibitor, widely used in treatment of malignancies including pancreatic ductal adenocarcinoma (PDAC) as part of the FOLFIRINOX regimen prescribed as a first-line treatment in several countries. However, irinotecan has not been successfully introduced as a second-line treatment for pancreatic cancer and few randomized clinical studies have evaluated its added value. Efficacy of liposomal irinotecan (nal-IRI) combined with 5-fluorouracil and leucovorin (5-FU/LV) was reported in the phase III NAPOLI-1 trial in metastatic PDAC following failure of gemcitabine-based therapy. Several features of nal-IRI pharmacokinetics (PK) could result in better outcomes versus nonliposomal irinotecan. Irinotecan is a prodrug that is converted to active SN-38 by carboxylesterase enzymes and inactivated by cytochrome P450 3A4/3A5. SN-38 is inactivated by UGT1A1 enzymes. Individual variations in their expression and activity could influence enhanced localized irinotecan activity and toxicity. Liposomal irinotecan exploits the enhanced permeability and retention effect in cancer, accumulating in tumor tissues. Liposomal irinotecan also has a longer half-life and higher area under the concentration-time curve (0-∞) than nonliposomal irinotecan, as the liposomal formulation protects cargo from premature metabolism in the plasma. This results in irinotecan activation in tumor tissue, leading to enhanced cytotoxicity. Importantly, despite the longer exposure, overall toxicity for nal-IRI is no worse than nonliposomal irinotecan. Liposomal irinotecan exemplifies how liposomal encapsulation of a chemotherapeutic agent can alter its PK properties, improving clinical outcomes for patients. Liposomal irinotecan is currently under investigation in other malignancies including biliary tract cancer (amongst other gastrointestinal cancers), brain tumors, and small-cell lung cancer.

At a time when complex diseases affect globally 280 million people and claim 14 million lives every year, there is an urgent need to rapidly increase our knowledge into their underlying etiologies. Though critical in identifying the people at risk, the causal environmental factors (microbiome and/or pollutants) and the affected pathophysiological mechanisms are not well understood. Herein, we consider the variations of autophagy-related (ATG) genes at the heart of mechanisms of increased susceptibility to environmental stress. A comprehensive autophagy genomic resource is presented with 263 single nucleotide polymorphisms (SNPs) for 69 autophagy-related genes associated with 117 autoimmune, inflammatory, infectious, cardiovascular, neurological, respiratory, and endocrine diseases. We thus propose the term ‘autophagopathies’ to group together a class of complex human diseases the etiology of which lies in a genetic defect of the autophagy machinery, whether directly related or not to an abnormal flux in autophagy, LC3-associated phagocytosis, or any associated trafficking. The future of precision medicine for common diseases will lie in our ability to exploit these ATG SNP x environment relationships to develop new polygenetic risk scores, new management guidelines, and optimal therapies for afflicted patients. Abbreviations: ATG, autophagy‐related; ALS-FTD, amyotrophic lateral sclerosis-frontotemporal dementia; ccRCC, clear cell renal cell carcinoma; CD, Crohn disease; COPD, chronic obstructive pulmonary disease; eQTL, expression quantitative trait loci; HCC, hepatocellular carcinoma; HNSCC, head and neck squamous cell carcinoma; GTEx, genotype-tissue expression; GWAS, genome-wide association studies; LAP, LC3-associated phagocytosis; LC3-II, phosphatidylethanolamine conjugated form of LC3; LD, linkage disequilibrium; LUAD, lung adenocarcinoma; MAF, minor allele frequency; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; NSCLC, non-small cell lung cancer; OS, overall survival; PtdIns3K CIII, class III phosphatidylinositol 3 kinase; PtdIns3P, phosphatidylinositol-3-phosphate; SLE, systemic lupus erythematosus; SNPs, single-nucleotide polymorphisms; mQTL, methylation quantitative trait loci; ULK, unc-51 like autophagy activating kinase; UTRs, untranslated regions; WHO, World Health Organization.

The present study was performed to examine relationships between systemic exposure of capecitabine metabolites (5-FU, 5′-DFCR and 5′-DFUR) and toxicity or clinical response in patients with metastatic breast cancer. A population pharmacokinetic model for capecitabine and its three metabolites was built. Typical parameter values, characteristics of random distributions, associated with parameters, and covariates impact were estimated. Area under the curve (AUC) were computed for 5-FU and compared with grades of toxicity. Pharmacokinetic modeling was based on data collected on the first treatment cycle. Toxicity was assessed on the two first treatment cycles. The study was conducted in 43 patients. The population pharmacokinetic model (a one-compartment model per compound) was able to capture the very complex absorption process of capecitabine. Statistically significant covariates were cytidine deaminase, alkaline phosphatase and dihydrouracilemia (UH2)/uracilemia (U) ratio. UH2/U ratio was the most significant covariate on 5-FU elimination and CDA on the transformation of 5′-DFCR in 5′-DFUR. A trend was observed between 5-FU AUC and thrombopenia toxicity grades, but not with other toxicities. Best clinical response was not linked to systemic exposure of capecitabine metabolites. In our study, we propose a model able to describe, meanwhile, and its main metabolites, with a complex absorption process and inclusion of enzyme activity covariates such as CDA and UH2/U ratio. Trial registration Eudract 2008-004136-20, 2008/11/26

The current trend to personalize anticancer therapies mostly relies on selecting the best drug or combination of drugs to achieve optimal efficacy in patients. In addition to the comprehensive genetic and molecular knowledge of each tumor before choosing the drugs to be given, there is probably much room left for improvement by further personalizing the very modes by which the drugs are given, once they have been carefully selected. In particular, shifting from standard dosing to tailored dosing should help in maintaining drug exposure levels in the right therapeutic window, thus ensuring that the efficacy/toxicity balance is optimal. This paper covers the current knowledge regarding pharmacokinetic/pharmacodynamic relationships of anticancer agents, from decades-old cytotoxics to the latest immune checkpoint inhibitors, the most frequent sources for long-neglected interpatient variability impacting on drug exposure levels, and what could be done to achieve real personalized medicine in oncology such as implementing therapeutic drug monitoring with adaptive dosing strategies or using model-driven modalities for personalized dosing and scheduling.

International audience; Background: Docetaxel (DOCE) is a standard of care in metastatic castration-resistant prostate cancer (mCRPC). Several retrospective studies suggested a decrease in Prostate Cancer incidence and mortality with metformin (MET). MET has also demonstrated anti-tumor activity in Prostate Cancer preclinical models, with increased apoptosis when added to DOCE. We aimed at exploring the role of MET in combination with DOCE in mCRPC.Patients and methods: Non-diabetic mCRPC patients were randomly assigned to receive DOCE 75 mg/m2 every 21 days + prednisone (5 mg. BID) with either MET 850 mg BID (D+M) or placebo (D+P) up to 10 cycles. Prostate-Specific Antigen (PSA) response ≥50% from baseline was the primary end point. Secondary end points included objective response rate (ORR), progression-free survival (PFS), overall survival (OS), toxicity and quality of life (QoL).Results: Out of 99 patients were randomized (D+M = 50; D+P = 49) in 10 French centers. The median follow-up was 86 (IQR 73-88) months. The PSA-response rate reached 66% in the D+M arm, but was not different from that observed in the D+P arm (63%, P = 0,94). In the D+M and D+P arms, the ORR was 28% and 24%, the median PFS was 7.8 and 6.0 months and the median OS was 27 and 20 months (ns), respectively. Diarrhea grade I to II was more frequent in the MET arm (66% vs. 43%). No impairment of QoL was observed.Conclusion: MET addition failed to improve the standard DOCE regimen in mCRPC. Further research targeting tumor cell metabolism should be performed.

Urothelial carcinoma of the bladder are rare but aggressive tumors with a high metastatic potential. The prognosis of these tumors has not drastically changed over the past 30 years, with an overall survival of less than two years in advanced or metastatic situations. Even though immune checkpoints inhibitors have changed this picture, it is beneficial for less than 30% of patients and there is no reliable biomarkers to identify this specific population of responders. Vinflunine is a vinca-alkaloid that was specifically developed as second line treatment post-platinum. As of today, it is the sole anticancer agent for which clinical trials have been pushed to phase III and that was approved for patients in good conditions. Unfortunately, it has been withdrawn from the list of reimbursed drugs, which impairs its prescription. Based on the results of phase III clinical trials with immunotherapies, this review provides the reader with argumentations in favor of patients' and clinicians' request to reimburse vinflunine for the treatment of advanced or metastatic urothelial carcinoma of the bladder.

5-Fluorouracil (5-FU) is dosed by body surface area, a practice unable to reduce the interindividual variability in exposure. Endorsed by the International Association of Therapeutic Drug Monitoring and Clinical Toxicology (IATDMCT), we evaluated clinical evidence and strongly recommend TDM for the management of 5-FU therapy in patients with colorectal or head-and-neck cancer receiving common 5-FU regimens. Our systematic methodology provides a framework to evaluate published evidence in support of TDM recommendations in oncology.

Introduction After the recent advent of Immune Checkpoint Inhibitors (ICIs), one of current challenge of clinical cancer trials is certainly to develop the optimal combinations of ICIs with DNA-Damaging Agents (chemotherapy and/or radiotherapy, named DDAs hereafter). Elucidating resistance mechanisms to these different treatments is pivotal to propose new predictive biomarkers and to develop therapeutic strategies to improve ICI efficiency. We hypothesized that resistance to DDA and ICIs is mediated in part by intrinsic tumor mechanisms, some of which may be shared. Methods To address this knowledge gap, we compared RNA expression signatures, antigen presentation, and PD-L1 expression from cohorts of cancer patients treated with radiotherapy, chemotherapy, and immunotherapy to identify shared molecular pathways that may mediate cross-resistance. Using a panel of lung cancer cell lines, we then confirmed that the tumor-cell-intrinsic expression of SQSTM1 is positively correlated with antigen presentation, and inversely with DNA damage repair and DDA/ICIs resistance gene signatures. This SQSTM1/HERV pathway was then supported in vitro using engineered silenced cell-lines (SQSTM1, MAVS, and STING ShRNA) treated with FDA-approved DDA (cisplatin, oxaliplatin, doxorubicin, and ionizing radiations) or synthetic double-stranded RNA (5’ppp dsRNAs and poly IC). Results Through three complementary approaches (in silico, ex vivo on patient cohorts, and in vitro), we identify the p62/SQSTM1 scaffold protein as a key molecular mediator able of predicting and controlling sensitivity for DDA and ICIs. Mechanistically, in response to DNA damage, we found that SQSTM1 is essential for the inhibition of DNA repair and the reactivation of human endogenous retroviruses (hERV). Analogous to a “viral alarm”, the hERV are sensed and activate IFN responses that drive the expression of MHC-I and PD-L1, leading to tumor immune evasion. Targeting the hERV pathways in SQSTM1-depleted tumor cells by poly(I:C)/Lyovec, or docetaxel treatment can rescue the hERV, IFN, and MHC pathway, providing a promising therapeutic avenue turning a “cold” into a “hot” tumor in non-responders cancer patients. Conclusion Depending on its levels, we thus propose SQSTM1 as a predictive biomarker for guiding treatment decisions from i) ICI alone, ii) ICI combined with cisplatin, or; iii) ICI combined with poly(I:C)/Lyovec or docetaxel, with the aim to increase immunotherapy efficacy. Citation Format: Iris Grosjean, Grégoire D’Andréa, Nathalie Yazbeck, Amine Belaid, Barnabé Roméo, Marie Angela Domdom, Nicolas Guillot, Eric Gilson, Emmanuel Chamorey, Gérard Milano, Véronique Hofman, Marius Ilié, Isabelle Benard-Thiery, Simon Heeke, Patrick Brest, François Ghiringhelli, Paul Hofman, Baharia Mograbi. The tumor scaffold protein SQSTM1 at the crossroads of DNA damage and immunotherapy responses in solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1284.

A particularly promising cancer treatment is the use of monoclonal antibodies (mAbs) against immune checkpoints (i.e., immune checkpoint inhibitors; ICIs). However, many patients experience relapse and severe adverse events. To overcome these negative issues and improve efficiency, current approaches rely on combinatorial treatments, including some modulating the expression of programmed cell death receptor 1 (PD-1)/programmed death ligand 1 (PD-L1) immune checkpoints directly. In this review, we examine the recently discovered pathways involved in PD-L1 expression and highlight the relevant druggable strategies that are being developed to both improve the response rate and avoid the onset of resistance. Altogether, these new strategies will pave the way for effective treatment combinations in future oncology clinical trials.

International audience

SummaryPatients with cancer should benefit from COVID-19 vaccination. Some of the most advanced vaccine candidates are mRNAs encapsulated into lipid carriers, and small liposomes are expected to accumulate in tumour tissues through the enhanced and permeation retention effect. However, to what extent solid tumours could take up a significant part of the vaccine dose as well remains unknown. This calls for a careful evaluation of the efficacy of these promising mRNA COVID-19 vaccines administered as lipid carriers for patients with solid tumours, including a possible re-appraisal of the dosing for optimal protection of this specific and frail population.

To uncover the key cellular pathways associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectivity, Daniloski and coworkers used CRISPR-based whole-genome screening. Their results could propose new or repositioned drugs for the ongoing fight against COVID-19.

Highlights • A review which lays out different potential contributions which can help to understand the IRAEs-outcome link. • There is a possibility to compute a multifactorial index to characterise patients as ICI sensitive or ICI unsensitive. • Prospective trails with ICIs are now fesaible to shape patient care beyond high -dose steroids., Recent reports have put into evidence the possibility of a link between immune-related adverse events (IRAEs) and treatment outcome, patients drawing a benefit from treatment being also exposed to the risk to develop toxicity. A still unanswered question remains the biological origin(s) which can sustain and explain such a relationship. The purpose of this review paper is to lay out different potential contributions which can help to understand the IRAEs-outcome link and to propose clinical perspectives taking advantage of this association. In this respect, pharmacokinetics aspects, immunological and immunogenetics implications have been taken into consideration., Graphical abstract Image, graphical abstract

International audience; Fluoropyrimidines (fluorouracil, capecitabine, and other analogs) are highly used anticancer drugs worldwide. However, patients with cancer treated with these drugs might experience severe, life-threatening toxicity because of germline genetic variation in the DPYD gene. This is a genetic predisposition with an established mechanistic basis that links genetic variation in the DPYD gene to an increase in systemic drug exposure, resulting in an increased risk of toxicity. Pharmacology guidelines provide recommendations on avoiding treatment with fluoropyrimidines or reducing their dose in patients carrying DPYD genetic variants conferring an increased risk of toxicity. However, oncology societies in the United States do not recommend systematic testing. Instead, on April 30, 2020, the European Society for Medical Oncology issued a document recommending genetic testing. In this scenario of contradicting information, practicing oncologists struggle with reaching an informed decision on whether genetic testing should be applied before treatment. This is mostly due to uncertainty about the clinical relevance of genetic testing from the perspective of a practicing oncologist. To reach an informed decision, practicing oncologists need access to concise information on the genetic variants to be tested and a practitioner-friendly interpretation of the test results. We believe this information is currently lacking. To our knowledge, for the first time, we provide a single guide for health care professionals to make an evidence-based decision about DPYD testing for patients with cancer. This article provides the essential knowledge base for oncologists to have an informed discussion with their patients about the genetic testing for DPYD. This document assists practitioners in quickly evaluating whether, when, where, and how to order a DPYD genetic test.

Based on a broad public database compilation, we support the hypothesis that germinal polymorphisms may regulate the expression of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cellular target itself and proteases controlling the process of its shedding or, conversely, its internalization. Consequently, a genetic influence on individual susceptibility to coronavirus disease 2019 (COVID-19) infection is strongly suspected.

The prospective multicenter COMET trial followed a cohort of 306 consecutive metastatic breast cancer patients receiving bevacizumab and paclitaxel as first-line chemotherapy. This study was intended to identify and validate reliable biomarkers to better predict bevacizumab treatment outcomes and allow for a more personalized use of this antiangiogenic agent. To that end, we aimed to establish risk scores for survival prognosis dichotomization based on classic clinico-pathological criteria combined or not with single nucleotide polymorphisms (SNPs). The genomic DNA of 306 patients was extracted and a panel of 13 SNPs, covering seven genes previously documented to be potentially involved in drug response, were analyzed by means of high-throughput genotyping. In receiver operating characteristic (ROC) analyses, the hazard model based on a triple-negative cancer phenotype variable, combined with specific SNPs in VEGFA (rs833061), VEGFR1 (rs9582036) and VEGFR2 (rs1870377), had the highest predictive value. The overall survival hazard ratio of patients assigned to the poor prognosis group based on this model was 3.21 (95% CI (2.33&ndash, 4.42), p &lt, 0.001). We propose that combining this pharmacogenetic approach with classical clinico-pathological characteristics could markedly improve clinical decision-making for breast cancer patients receiving bevacizumab-based therapy.

Background Dihydropyrimidine dehydrogenase (DPD) status is an indicator of a marked risk for toxicity following fluoropyrimidine (FP)-based chemotherapy. This notion is well-established for low DPD status but little is known about the clinical impact of high DPD activity. This study examined the possible link between high intrinsic lymphocytic DPD activity and overall survival, progression free survival and response to FP-based treatment in patients treated in our institution. Methods Lymphocytic DPD activity was assessed in a group of 136 patients receiving FP-based chemotherapy from 2004 to 2016. There were 105 digestive (77.2%), 24 breast (17.6%) and 7 head and neck cancers (5.2%). Cox or logistic regression models were applied with adjustment on all confounding factors that could modify OS, PFS or response. All models were stratified on the three cancer locations. A cut-off for DPD activity was assessed graphically and analytically. Results An optimal cut-off for DPD activity at 0.30 nmol/min/mg protein was identified as the best value for discriminating survivals and response. In multivariate analysis, individual lymphocytic DPD activity was significantly related to overall survival (p = 0.013; HR: 3.35 CI95%[1.27–8.86]), progression-free survival (p p = 0.033; HR: 0.33 CI95%[0.12–0.92]) with a marked detrimental effect associated with high DPD activity. Conclusions DPD status screening should result in a two-pronged approach with FP dose reduction in case of low intrinsic DPD and, inversely, an increased FP dose for high intrinsic DPD. In a context of personalized FP-based treatment, this innovative strategy needs to be prospectively validated.

Hyperprogressive disease (HPD), an unexpected acceleration of tumor growth kinetics, is described in cancer patients treated with anti-PD-1/anti-PD-L1 agents. Here, our aim was to take into consideration the host and explore whether single nucleotide polymorphisms (SNPs) in key genes involved in immune response might predispose to HPD. DNA was extracted from blood-samples from 98 patients treated under CPI monotherapy. Four candidate genes (PD-1, PD-L1, IDO1 and VEGFR2) and 15 potential SNPs were selected. The TGKR (ratio of the slope of tumor growth before treatment and the slope of tumor growth on treatment) was calculated. Hyperprogression was defined as a TGKR≥2. TGKR calculation was feasible for 80 patients (82%). HPD was observed for 11 patients (14%) and was associated with shorter overall survival (P = 0.003). In univariate analysis, HPD was significantly associated with age ≥70 y (P = 0.025), immune-related toxicity (P = 0.016), VEGFR2 rs1870377 A/T or A/A (P = 0.005), PD-L1 rs2282055 G/T or G/G (P = 0.024) and PD-L1 rs2227981 G/A or A/A (P = 0.024). Multivariate analysis confirmed the correlation between HPD and age ≥70 y (P = 0.006), VEGFR2 rs1870377 A/T or A/A (P = 0.007) and PD-L1 rs2282055 G/T or G/G (P = 0.018). Immunogenetics could become integral predictive factors for CPI-based immunotherapy.

Background Checkpoint inhibitors bring marked benefits but only in a minority of patients and may also be associated with severe adverse events. Treatment outcome still cannot be faithfully predicted. The following study hypothesized that host genetics could be applied as predictive biomarkers for checkpoint inhibitor response and immune-related adverse events. We conducted a study based on germinal polymorphisms from genes coding for proteins involved in immune regulation. Methods Germinal DNA was obtained from advanced cancer patients treated with anti-PD-1/PD-L1 checkpoint inhibitors. DNA was genotyped using a custom panel of 166 single nucleotide polymorphisms covering 86 preselected immunogenetic-related genes. Computational analysis using a GTEX portal was made to determine potential expression Quantitative Trait Loci in tissues. Results Ninety-four consecutive patients were included. Objective response rate (complete or partial response) was significantly correlated to tumor microenvironment-related SNPs concerning CCL2, NOS3, IL1RN, IL12B, CXCR3 and IL6R genes. Toxicity were linked to target-related gene SNPs including UNG, IFNW1, CTLA4, PD-L1 and IFNL4 genes. The Area Under the ROC curve (AUC) was 0.81 (95% CI: 0.72–0.9) for response and 0.89 (95% CI: 0.76–1.00) for toxicity. In silico functionality exploring pointed rs4845618 (IL6R), rs10964859 (IFNW1) and rs3087243 (CTLA4) as potentially impacting gene expression. Conclusion These results strongly support a role for distinct immunogenetic-related gene SNPs able to predict efficacy and safety of anti-PD1/PD-L1 therapies. The results highlight the existence of patient-specific, germinal biomarkers able predict response to checkpoint inhibitor efficacy and, possibly, to predict treatment-related adverse events.

Squamous cell carcinomas are the most frequent subgroup among head and neck malignant tumors (HNSCC). Tobacco (±alcohol) and HPV infection, the two main risk factors, define two entities with distinct anatomo-clinical and genetic features. HPV-positive, non-tobacco-related HNSCCs are associated with a better prognosis, a rather simple genomic profile, frequent activating mutations of genes involved in pi3kinase-pathway, and the scarcity of mutations of tumor suppressor genes. HPV-negative, tobacco-related HNSCC are genetically more complex, are characterized by almost mandatory inactivating mutations/deletions of tumor suppressor genes (TP53, CDKN2A) and the possible, but less frequent, activating mutations or amplifications of some oncogenes that encode for cell cycle proteins or receptors with tyrosine kinase activity. This review describes the genetic features of HNSCC and discusses how these abnormalities could be incorporated into a therapeutic approach.

// Stephane Supiot 1 , Loic Campion 1 , Pascal Pommier 2 , Melanie Dore 1 , Clement Palpacuer 1 , Severine Racadot 2 , Emmanuel Rio 1 , Gerard A. Milano 3 , Celine Mahier - Ait Oukhatar 4 and Christian Carrie 2 1 Departments of Radiation Oncology and Biostatistics, Institut de Cancerologie de l'Ouest, Nantes, France 2 Department of Radiation Oncology, Centre Leon Berard, Lyon, France 3 Laboratoire d’Oncopharmacologie, Centre Antoine-Lacassagne, Nice, France 4 Groupe des Essais Precoces, Unicancer, Paris, France Correspondence to: Stephane Supiot, email: Stephane.supiot@ico.unicancer.fr Keywords: abiraterone; prostate cancer; prostate bed radiotherapy; salvage radiotherapy; rising PSA Received: March 24, 2018 Accepted: April 04, 2018 Published: April 24, 2018 ABSTRACT Background: To establish the maximum tolerated dose of abiraterone acetate plus prednisone (AA) combined with salvage radiotherapy (SRT) and goserelin in a phase 1 study in men with rising PSA following radical prostatectomy. Methods: AA was given during one month before SRT at 1000 mg PO once daily, then 750 mg (Dose Level 1, DL1) or 1000 mg (DL2) during 5 months combined with 6-months goserelin by injection on the first day of irradiation (scheme NEO) or one month before starting SRT (scheme CONCO). Results: In scheme NEO at DL1, 2/9 patients did not achieve castration levels of testosterone. 4/9 patients (44%) presented with grade 3 liver enzyme elevation. In scheme CONCO testosterone dropped to undetectable levels. At DL1, 6 patients were recruited, with no dose limiting toxicities. At DL2, 2/3 patients presented with grade 3 liver enzyme elevation occurring during SRT. Conclusions: When AA was administered without goserilin, only 78% achieved castration levels. AA combined with SRT and goserilin did not increase pelvic toxicity, but lead to an unsuspected high frequency of grade 3 liver toxicity. The phase II recommended dose of AA combined to goserelin and SRT is 750 mg.

Introduction The systematic assessment of anti-programmed cell death ligand 1 (PD-L1) expression by immunohistochemistry (IHC) in lung adenocarcinomas is becoming standard practice. However, the assessment of PD-L1 expression on small tissue specimens needs to be evaluated and the association with other features more thoroughly analyzed. Methods This retrospective single center study evaluated the immunohistochemical expression of the SP263 anti-PD-L1 antibody on tissue microarrays (TMA) of 152 surgically resected lung adenocarcinomas, using a 25% positivity threshold. The positive cases and 50 randomly chosen negative cases in tissue microarray (TMA) were reassessed on whole tissue sections. The results were correlated to clinical, histopathological and to molecular data obtained through the screening of 214 mutations in 26 genes (LungCarta panel, Agena Biosciences). Results Among 152 primary lung adenocarcinomas, 19 cases (13%) showed PD-L1 expression. The agreement between TMA and whole tissue sections was 89%, specificity was 97%. PD-L1 expression was correlated to RAS mutations (p = .04), RAS/TP53 co-mutations (p = .01) and to the solid or acinar subtype (p = .048). Conclusions With the SP263 PD-L1 antibody, small samples appear as a reliable means to evaluate the PD-L1 status in lung adenocarcinoma. The association between PD-L1 expression and RAS/TP53 mutations may have clinical relevance to predict the efficacy of PD-1/PD-L1 immune checkpoints inhibitors.

SummaryCancer patients are vulnerable to COVID-19 with consequences on treatment delays and on mortality rate. This Comment explores the interaction between COVID-19 and cancer with attention paid to the modulation by cancer treatments of both ADAM17 and TMPRSS2, the proteases which control ACE2 processing, the SARS-CoV-2 target.

Sunitinib is one of the first-line standard treatments for metastatic clear cell renal cell carcinoma (ccRCC) with a median time to progression shorter than 1 year. The objective is to discover predictive markers of response to adapt the treatment at diagnosis. Prospective phase 2 multi-centre trials were conducted in ccRCC patients initiating sunitinib (54 patients) or bevacizumab (45 patients) in the first-line metastatic setting (SUVEGIL and TORAVA trials). The plasmatic level of CXCL7 at baseline was correlated with progression-free survival (PFS). The cut-off value of CXCL7 for PFS was 250 ng ml−1. Patients with CXCL7 plasmatic levels above the cut-off at baseline (250 ng ml−1) had a significantly longer PFS (hazard ratio 0.323 (95% confidence interval 0.147–0.707), P=0.001). These results were confirmed in a retrospective validation cohort. The levels of CXCL7 did not influence PFS of the bevacizumab-treated patients. CXCL7 may be considered as a predictive marker of sunitinib efficacy for ccRCC patients.

Antibody-dependent cell-mediated cytotoxicity (ADCC) may contribute to the antitumor activity of cetuximab. However, the extent of this contribution is unclear. In this study, we investigated the impact of baseline ADCC on the outcome of patients with locally advanced squamous cell carcinoma treated with cetuximab and radiotherapy. We determined baseline ADCC in 28 patients treated with cetuximab and radiotherapy and in 15 patients treated with chemoradiation. We linked the values observed with complete response and with overall survival. We also considered the role of epidermal growth factor receptor (EGFR) expression and studied the combined effect of EGFR and ADCC. We observed a wide range of baseline values of ADCC. Complete response did not correlate with either ADCC or EGFR expression. However, when ADCC and EGFR were considered together using a mixed score, they significantly correlated with achieving a complete response (p = 0.04). High baseline ADCC significantly correlated with outcome compared to low (p = 0.03), but not in patients treated without cetuximab. Patients showing high baseline levels of both ADCC and EGFR3+ achieved the best outcome compared to the others (p = 0.02). In this study, patients treated with cetuximab and radiotherapy, showing high baseline of both ADCC and EGFR3+, have significant higher probability of achieving a complete response and a long overall survival compared to the others.

Clinical response to checkpoint inhibitors-based (CPIs) therapies can vary among tumor types and between patients. This led to a significant amount of pre-clinical and clinical research into biomarker identification. Biomarkers have been found to cover both the tumor itself and the tumor microenvironment. Entering host-related parameters into the equation should provide a valuable strategy for identifying not only factors predictive of treatment efficacy but also of treatment-related toxicity. It is clear that germline variants can offer efficient and easily-assessable indicators (blood DNA) to enlarge the spectrum of predictive markers for CPI-based treatment. A major issue concerns the real functional significance of the reported single-nucleotide polymorphisms (SNPs) linked to CPI-treatment outcome. Powered calculations should lead to an optimal trade-off between sample size and allele frequency. New molecular technologies and new analytical methods should provide opportunities to bridge the knowledge gap between SNP-CPI treatment associations and the functional impact of these SNPs.

Background The purpose of this study was to investigate the effects of combining the phosphotidylinositol-3-kinase (PI3K) inhibitor buparlisib (BKM)120 with the anti-epidermal growth factor receptor (EGFR) agent cetuximab and radiotherapy (RT) on an orthotopic model of head and neck squamous cell carcinoma (HNSCC). Methods We evaluated the antitumor efficacy of BKM120, cetuximab, and RT, administered alone or in combination, using the human PIK3CA-mutated HNSCC cell line, CAL33, injected into the floor of the mouth of nude mice. Results Compared with control, the BKM120-cetuximab and the BKM120-cetuximab-RT combinations led to the highest tumor inhibition (p < .001). The highest inhibitory effect of treatments on cell proliferation, mitogen-activated protein kinase (MAPK) and PI3K/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling pathways were found with the BKM120-cetuximab association. The association of BKM120 and cetuximab with RT inhibited RT-induced activation of the MAPK pathway. Conclusion These results can serve as a preclinical rationale for innovative treatments combining PI3K inhibition with anti-EGFR therapies and irradiation in patients with HNSCC. © 2016 Wiley Periodicals, Inc. Head Neck, 2016

International audience; Shifting from the historical TNM paradigm to the determination of molecular and genetic subtypes of tumors has been a major improvement to better picture cancerous diseases. The sharper the picture is, the better will be the possibility to develop subsequent strategies, thus achieving higher efficacy and prolonged survival eventually. Recent studies suggest that urokinase-type plasminogen activator (uPA), uPA receptor (uPAR), and plasmino-gen activator inhibitor-1 (PAI-1) may play a critical role in cancer invasion and metastasis. Consistent with their role in cancer dissemination, high levels of uPA, PAI-1, and uPAR in multiple cancer types correlate with dismal prognosis. In this respect, upfront determination of uPA and PAI-1 as invasion markers has further opened up the possibilities for individualized therapy of breast cancer. Indeed, uPA and PAI-1 could help to classify patients on their risk for metastatic spreading and subsequent relapse, thus helping clinicians in their decision-making process to propose, or not propose, adjuvant therapy. This review covers the implications for cancer diagnosis, prognosis, and therapy of uPA and PAI-1, and therefore how they could be major actors in the development of a precision medicine in breast cancer.