Usefulness of Plasma SARS-CoV-2 RNA Quantification by Droplet-based Digital PCR to Monitor Treatment Against COVID-19 in a B-cell Lymphoma Patient

We report the case of an HIV-1-infected patient, treated with anti-CD20 monoclonal antibody for a B-cell lymphoma previously treated by autologous stem cell transplant. He suffered from chronic COVID19 and we monitored by plasma SARS-CoV-2 RNA by highly sensitive droplet-based digital PCR technology (ddPCR). Under tocilizumab therapy and despite a first clinical improvement biologically associated with decreasing inflammatory markers, a slight increase of SARS-CoV-2 RNAaemia quantified by ddPCR was highlighted, confirming the absence of viral efficacy of this treatment and predicting the subsequent observed deterioration. As expected, his complete recovery, finally achieved after COVID-19 convalescent plasmatherapy, strictly paralleled plasma SARS-CoV-2 RNA clearance. With these results, we confirmed the interest of SARS-CoV-2 RNAaemia monitoring by ddPCR in COVID-19 patients, particularly during treatment, and firstly showed that this new and specific biomarker could be helpful to select eligible patient for anti-IL6 receptors therapy considering the variable levels of efficacy recently observed with such therapy.

Prognostic variables in low and high risk stage III colon cancers treated in two adjuvant chemotherapy trials

BACKGROUND

Stratification of patients with stage III colon cancer into low (T_1-3N₁) and high (T₄ and/or N₂) risk groups is used to guide the duration of adjuvant chemotherapy. We determined the relative contribution of clinical and molecular features to survival by risk group.

MATERIALS & METHODS

Stage III colon cancer (N = 5337) patients from two adjuvant trials of FOLFOX ± cetuximab [N0147 (Alliance), PETACC-8] were risk grouped, then subgrouped by clinical features and molecular variables [KRAS and BRAF/mismatch repair (MMR) combined variable]. Distributions of disease-free survival (DFS), overall survival (OS), and survival after recurrence (SAR) were estimated. In multivariable Cox models, backward elimination was performed for analysis of candidate predictors of outcomes. Relative contributions of model-selected variables to outcomes by risk group were calculated using χ2.

RESULTS

Among low risk tumours, mutant KRAS and male gender were significantly associated with poorer OS multivariately. In high risk tumours, significantly poorer OS was observed for right sidedness and for mutant KRAS and BRAF^V600E/pMMR, subgroups. Specifically, BRAF^V600E/pMMR (OS: HR = 1.75; 95% CI: 1.36-2.24; P_adj<.0001) and right- versus left-sidedness were associated with significantly poorer DFS, OS (HR = 1.56; 95% CI: 1.31-1.83; P_adj<.0001), and SAR (HR = 1.64; 95% CI: 1.37-1.95; P_adj<.0001). Poor prognosis of mutant KRAS for DFS and OS was similar among risk groups. BRAF/MMR and sidedness were associated with poorer SAR in both low and high risk tumours. Age, gender, and KRAS were the top three relative contributors to DFS and OS among low risk tumours; sidedness ranked first for DFS and OS, and second to BRAF/MMR for SAR among high risk tumours.

CONCLUSION

Sidedness and BRAF/MMR contributed the most to survival outcomes among high risk tumours and should be interpreted in the context of risk group.

Circadian genes polymorphisms, night work and prostate cancer risk: Findings from the EPICAP study

Over the past two decades, several studies have attempted to understand the hypothesis that disrupting the circadian rhythm may promote the development of cancer. Some have suggested that night work and some circadian genes polymorphisms are associated with cancer, including prostate cancer. Our study aims to test the hypothesis that prostate cancer risk among night workers may be modulated by genetic polymorphisms in the circadian pathway genes based on data from the EPICAP study, a population-based case-control study including 1511 men (732 cases/779 controls) with genotyped data. We estimated odds ratio (ORs) and P values of the association between prostate cancer and circadian gene variants using logistic regression models. We tested the interaction between circadian genes variants and night work indicators that were significantly associated with prostate cancer at pathway, gene and SNP levels. Analyses were also stratified by each of these night work indicators and by cancer aggressiveness. The circadian pathway was significantly associated with aggressive prostate cancer among night workers (P = .004), particularly for men who worked at night for <20 years (P = .0002) and those who performed long night shift (>10 hours, P = .001). At the gene level, we observed among night workers significant associations between aggressive prostate cancer and ARNTL, NPAS2 and RORA. At the SNP-level, no significant association was observed. Our findings provide some clues of a potential modulating effect of circadian genes in the relationship between night work and prostate cancer. Further investigation is warranted to confirm these findings and to better elucidate the biological pathways involved.

A TLR3 Ligand Reestablishes Chemotherapeutic Responses in the Context of FPR1 Deficiency

For anthracycline-based chemotherapy to be immunogenic, dying cancer cells must release annexin A1 (ANXA1) that subsequently interacts with the pattern recognition receptor, formyl peptide receptor 1 (FPR1), on the surface of dendritic cells (DC). Approximately 30% of individuals bear loss-of-function alleles of FPR1, calling for strategies to ameliorate their anticancer immune response. Here, we show that immunotherapy with a ligand of Toll-like receptor-3, polyinosinic:polycytidylic acid (pIC), restores the deficient response to chemotherapy of tumors lacking ANXA1 developing in immunocompetent mice or those of normal cancers growing in FPR1-deficient mice. This effect was accompanied by improved DC- and T-lymphocyte-mediated anticancer immunity. Of note, carcinogen-induced breast cancers precociously developed in FPR1-deficient mice as compared with wild-type controls. A similar tendency for earlier cancer development was found in patients carrying the loss-of-function allele of FPR1. These findings have potential implications for the clinical management of FPR1-deficient patients. SIGNIFICANCE: The loss-of-function variant rs867228 in FPR1, harbored by approximately 30% of the world population, is associated with the precocious manifestation of breast, colorectal, esophageal, and head and neck carcinomas. pIC restores deficient chemotherapeutic responses in mice lacking Fpr1, suggesting a personalized strategy for compensating for the FPR1 defect.This article is highlighted in the In This Issue feature, p. 211.

Biochemically Tracked Variability of Blood Plasma Thawed-State Exposure Times in a Multisite Collection Study

The integrity of blood plasma/serum (P/S) specimens can be impacted by preanalytical handling and storage conditions that result in thawed-state exposures (> -30°C). We recently reported a simple dilute-and-shoot, intact-protein liquid chromatography/mass spectrometry (LC/MS) assay called ΔS-Cys-Albumin that quantifies cumulative exposure of P/S to thawed conditions based on the change in relative abundance of the oxidized (S-cysteinylated) proteoform of albumin (S-Cys-Albumin) in the native sample to that of an aliquot of the sample intentionally driven to its maximum oxidation state. Herein, we evaluated the effect of prestorage delay and initial storage temperature on sample integrity by applying the ΔS-Cys-Albumin assay to a set of plasma samples (n = 413) collected under a single clinical study but from 12 different collection sites. Major differences (p < 0.0001) were observed between different groups of samples with modestly inconsistent initial handling conditions (i.e., initial processing of whole blood to plasma and placement at -80°C completed in under 3 hours, 3-13 hours, and over 17 hours). ΔS-Cys-Albumin was significantly inversely correlated with delay time at 4°C before centrifugation and total delay before final storage at -80°C (p < 0.0001). Samples from two collection sites had much lower ΔS-Cys-Albumin values relative to samples from other sites, in accordance with the fact that they were stored at -20°C for an average of 7.6 months before shipment to the central repository for final storage at -80°C. Based on the rate law for S-Cys-Albumin formation in plasma ex vivo, the average time that each plasma specimen had been exposed to the equivalent of room temperature (23°C) was back calculated from the measured ΔS-Cys-Albumin values. A survey of clinical analytes in P/S whose measured concentrations are sensitive to the initial handling/storage conditions documented in this study is provided and the ramifications of the plasma integrity findings from this multisite clinical study are discussed.

Maintenance treatment with fluoropyrimidine plus bevacizumab versus fluoropyrimidine alone after induction chemotherapy for metastatic colorectal cancer: The BEVAMAINT - PRODIGE 71 - (FFCD 1710) phase III study

BACKGROUND

Maintenance treatments with fluoropyrimidine alone or combined with bevacizumab after induction chemotherapy are two standard options in first-line metastatic colorectal cancer (mCRC). However, no trial has compared these two maintenance regimens.

METHODS

BEVAMAINT is a multicenter, open-label, randomized phase III trial comparing fluoropyrimidine alone or plus bevacizumab as maintenance treatment after induction polychemotherapy in mCRC. The primary endpoint is the time-to-treatment failure (TTF), calculated from date of randomization to first radiological progression, death, start of a new chemotherapy regimen (different from induction or maintenance chemotherapy) or end of maintenance treatment without introduction of further chemotherapy. We expect a 2-month TTF improvement from 6 months in the monotherapy arm to 8 months in the combination arm (hazard ratio [HR], 0.75). Based on a two-sided α risk of 5% and a power of 80%, using Schoenfeld method, 379 events are required (planned enrolment, 400 patients). Patients with mCRC, whose disease is measurable according to RECIST 1.1 criteria and controlled (objective response or stable disease) - but remains unresectable - after 4 to 6 months of induction polychemotherapy (doublet or triplet chemotherapy with or without anti-EGFR or bevacizumab), and who have recovered from limiting adverse events of induction polychemotherapy are eligible for randomization. Randomization is stratified according to center, response to induction chemotherapy (objective response vs stable disease), ECOG performance status (0-1 vs 2), maintenance fluoropyrimidine (5-fluorouracil vs capecitabine) and primary tumor status (resected vs not). Capecitabine or bolus and infusional 5-fluorouracil plus folinic acid (simplified LV5FU2 regimen) are both accepted for maintenance chemotherapy, at investigator's discretion. Clinical evaluation, tumor imaging, carcinoembryonic antigen and circulating tumor DNA dosages are planned at enrolment and every 9 weeks. The maintenance treatment will be discontinued in the event of unbearable toxicity, progression or patient refusal. After maintenance discontinuation, reintroduction of induction polychemotherapy is recommended; otherwise a second-line treatment is started. The enrolment has begun in January 2020.

Circulating Tumor DNA is Prognostic and Potentially Predictive of Eryaspase Efficacy in Second-line in Patients with Advanced Pancreatic Adenocarcinoma

PURPOSE

Eryaspase is composed of l-asparaginase encapsulated in erythrocytes and has demonstrated significant efficacy in a randomized phase II trial. We assessed the prognostic and predictive value of circulating tumor DNA (ctDNA) in patients, plasma included in this trial.

EXPERIMENTAL DESIGN

Samples prospectively collected pretreatment were centrally analyzed by next-generation sequencing. Prognostic values of baseline ctDNA and ctDNA early changes between day 0 and 28 were assessed in both arms combined on objective response rate (ORR), progression-free survival (PFS), and overall survival (OS); three groups were defined: negative ctDNA (Neg), ctDNA responders (Resp), and ctDNA nonresponders (NResp). Predictive value of ctDNA for eryaspase efficacy was investigated.

RESULTS

ctDNA was positive at baseline in 77 patients of the 113 tested patients (68%). Detectable ctDNA was an independent negative prognostic factor for OS (4.6 vs. 8.8 months; P = 0.0025) and PFS (1.6 vs. 3.3 months; P = 0.00043). Early change in ctDNA levels was correlated with ORR (20%, 26%, 0%; P < 0.04), PFS (3.7, 3.4, 1.6 months; P < 0.0001), and OS (11.7, 6.5, 4.3 months; P < 0.0001) according to the three defined groups (Neg, Res, NResp, respectively). In patients with ctDNA detectable at baseline, eryaspase was associated with better PFS [HR = 0.53; 95% confidence interval (CI): 0.3-0.94)] and OS (HR = 0.52; 95% CI: 0.29-0.91).

CONCLUSIONS

We confirm from a prospective randomized trial that: (i) the presence of ctDNA at baseline is a major prognostic factor, (ii) the early change of ctDNA correlates with treatment outcome, and (iii) the ctDNA could be a predictive biomarker of eryaspase efficacy.

CARPEM-LYNCH: a program linking hospital and NutriNet-Santé e-cohort data to test dynamic consent

Background

Technological innovations have contributed to rapid changes in translational research, allowing greater amounts of shared data on an unprecedented scale. However, methods for involving patients in research have not kept pace with changes in research capacity. Modern tools offering more flexibility in the management of patient consent are needed. The CARPEM-LYNCH program aims to explore the acceptance and feasibility of the concept of dynamic informed consent. It is a pilot program to test a research platform at the interface between hospital follow-up clinical data and data provided by patients through the NutriNet-Santé e-cohort platform.

Methods

Patients diagnosed with Lynch Syndrome followed at the European hospital Georges Pompidou (HEGP) are recruited and followed-up within the NutriNet-Santé online platform. In addition to generic NutriNet questionnaires (very detailed data on diet, physical activity, lifestyle, etc.), participants receive specific questionnaires related to their syndrome, perception of nutritional risk factors, and quality of life. Clinical data collected during standard hospital care will be linked to NutriNet data for participants who provide a dynamic consent. This dispositive will allow to investigate multiple dimensions of dietary behaviors and their health impact in these at-risk patients.

Results

The pilot phase has started. The first 20 patients have been included, showing good acceptance of the dynamic consent. Qualitative analysis of their responses is ongoing to optimize tools before large-scale deployment and extension to other hospital centers.

Conclusions

This experience of merging hospital and e-cohort data through dynamic consent to advance knowledge on health impact of diet and lifestyle in Lynch patients opens up a multitude of perspectives.

Key messages

Dynamic informed consent offers opportunities for data sharing between clinicians, researchers and patients with a promising impact on translational research. Dynamic informed consent can provide practical and sustainable solutions to the challenges of recruiting and retaining participants, managing consent and it can also be a source of economic efficiency.

The consensus Immunoscore in phase 3 clinical trials; potential impact on patient management decisions

The consensus Immunoscore has a prognostic value that has been confirmed in two randomized phase 3 clinical trials, and it provides a reliable estimate of the recurrence risk in colon cancer. The latest edition of the WHO classification of the Digestive System Tumors introduced for the first time the immune response as an essential and desirable diagnostic criteria for digestive cancers. Therefore, the immune response and Immunoscore evaluation within the tumor microenvironment is clinically relevant. In addition, the evaluation of the Immunoscore in stage III colon cancer patients from the IDEA France clinical trial evaluating 3 versus 6 months of oxaliplatin-based adjuvant chemotherapy demonstrated the predictive value of Immunoscore for treatment duration. Immunoscore predicted response to 6 months FOLFOX chemotherapy both in low- and high-risk Stage III patients. Low-risk patients (T_1-3, N₁) with High-Immunoscore had the 3-year DFS of 91.4% when treated with the 6-month FOLFOX, and only 80.8% with the 3-month regimen. The international validation of the prognostic value of the consensus Immunoscore together with its predictive value to guide treatment provides important information for the personalized management of colon cancer patients.

Highly sensitive quantification of plasma SARS-CoV-2 RNA shelds light on its potential clinical value

Background

Coronavirus disease 2019 (COVID-19) is a global public health problem that has already caused more than 662,000 deaths worldwide. Although the clinical manifestations of COVID-19 are dominated by respiratory symptoms, some patients present other severe damage such as cardiovascular, renal and liver injury or/and multiple organ failure, suggesting a spread of the SARS-CoV-2 in blood. Recent ultrasensitive polymerase chain reaction (PCR) technology now allows absolute quantification of nucleic acids in plasma. We herein intended to use the droplet-based digital PCR technology to obtain sensitive detection and precise quantification of plasma SARS-CoV-2 viral load (SARS-CoV-2 RNAaemia) in hospitalized COVID-19 patients.

Methods

Fifty-eight consecutive COVID-19 patients with pneumonia 8 to 12 days after onset of symptoms and 12 healthy controls were analyzed. Disease severity was categorized as mild-to-moderate in 17 patients, severe in 16 patients and critical in 26 patients. Plasma SARS-CoV-2 RNAaemia was quantified by droplet digital Crystal Digital PCR™ next-generation technology (Stilla Technologies, Villejuif, France).

Results

Overall, SARS-CoV-2 RNAaemia was detected in 43 (74.1%) patients. Prevalence of positive SARS-CoV-2 RNAaemia correlated with disease severity, ranging from 53% in mild-to-moderate patients to 88% in critically ill patients (p=0.036). Levels of SARS-CoV-2 RNAaemia were associated with severity (p=0.035). Among nine patients who experienced clinical deterioration during follow-up, eight had positive SARS-CoV-2 RNAaemia at baseline while only one critical patient with undetectable SARS-CoV-2 RNAaemia at the time of analysis died at day 27.

Conclusion

SARS-CoV-2 RNAaemia measured by droplet-based digital PCR constitutes a promising prognosis biomarker in COVID-19 patients

Effectiveness of a dedicated small bowel neoplasia screening program by capsule endoscopy in Lynch syndrome: 5 years results from a tertiary care center

BACKGROUND AND AIMS

The role of small bowel neoplasia (SBN) screening in asymptomatic patients with Lynch syndrome (LS) is uncertain. The aim of our study was to assess the effectiveness of screening by capsule endoscopy (CE) in these patients.

METHODS

This study was an observational, analytical, and retrospective single-center study within the PRED-IdF network. All consecutive asymptomatic patients older than 35 years-old with confirmed LS and no personal history of SBN who started the screening from 2010-2015 were included. The baseline screening and 24 months follow-up were performed by CE. The CE diagnostic yield (positive tumor or polyp) and accuracy, using the follow-up as gold standard, were evaluated.

RESULTS

A total of 150 patients underwent the SBN screening program and 135 (52.7 ± 11.2 years-old, 37.8% male) met the inclusion criteria. The baseline CE diagnostic yield was 4.4% (3 polyps, 3 tumors) and the proximal small bowel was the most common location (n = 4, 66.7%). In total, 87 patients underwent follow-up and the diagnostic yield was 4.6%.Four patients were considered positive at follow-up (2 adenomas, 2 adenocarcinomas). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of CE were 60%, 100%, 100%, 96.9%, and 97%, respectively.

CONCLUSIONS

CE is an accurate procedure for baseline screening of SBN in LS patients and may be efficient for follow-up procedures. However, the optimal starting age of screening and intervals of follow-up must be clarified.

A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic

PURPOSE

Dynamic network models predict clinical prognosis and inform therapeutic intervention by elucidating disease-driven aberrations at the systems level. However, the personalization of model predictions requires the profiling of multiple model inputs, which hampers clinical translation.

PATIENTS AND METHODS

We applied APOPTO-CELL, a prognostic model of apoptosis signaling, to showcase the establishment of computational platforms that require a reduced set of inputs. We designed two distinct and complementary pipelines: a probabilistic approach to exploit a consistent subpanel of inputs across the whole cohort (Ensemble) and a machine learning approach to identify a reduced protein set tailored for individual patients (Tree). Development was performed on a virtual cohort of 3,200,000 patients, with inputs estimated from clinically relevant protein profiles. Validation was carried out in an in-house stage III colorectal cancer cohort, with inputs profiled in surgical resections by reverse phase protein array (n = 120) and/or immunohistochemistry (n = 117).

RESULTS

Ensemble and Tree reproduced APOPTO-CELL predictions in the virtual patient cohort with 92% and 99% accuracy while decreasing the number of inputs to a consistent subset of three proteins (40% reduction) or a personalized subset of 2.7 proteins on average (46% reduction), respectively. Ensemble and Tree retained prognostic utility in the in-house colorectal cancer cohort. The association between the Ensemble accuracy and prognostic value (Spearman ρ = 0.43; P = .02) provided a rationale to optimize the input composition for specific clinical settings. Comparison between profiling by reverse phase protein array (gold standard) and immunohistochemistry (clinical routine) revealed that the latter is a suitable technology to quantify model inputs.

CONCLUSION

This study provides a generalizable framework to optimize the development of network-based prognostic assays and, ultimately, to facilitate their integration in the routine clinical workflow.

Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 × 10-8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.

Circulating tumor DNA is prognostic and potentially predictive of eryaspase efficacy in patients with advanced pancreatic adenocarcinoma

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Background: Eryaspase is composed of L-asparaginase encapsulated in erythrocytes. It has demonstrated significant efficacy in combination with chemotherapy in a randomized phase 2 trial in second-line in patients with advanced pancreatic adenocarcinoma. We assessed, in this study, the prognostic and predictive value of circulating tumor DNA (ctDNA) in plasma samples of patients included in the eryaspase phase 2 trial. Methods: Samples prospectively collected pre-treatment at each 28-day cycle were centrally analyzed by next-generation sequencing (BPER method). Prognostic values of baseline ctDNA and ctDNA early changes between day 0 and 28 were assessed in both arms combined on objective response rate (ORR), progression free survival (PFS) and overall survival (OS). We conducted interaction test between ctDNA positivity and treatment arm, and the predictive value of ctDNA for eryaspase efficacy was investigated. Results: Patients with at least one available plasma sample have been included (n = 122/141). The presence of ctDNA at baseline was identified in 68% (77/113) of patients and was an independent negative prognostic factor for OS (4.6 vs 8.8 months; p = 0.0025) and PFS (1.6 vs 3.3 months; p = 0.00043). Early change in ctDNA levels was assessed by separating patients into three categories (one without detectable ctDNA, and two according to radio median value between day 0 and day 28) that were significantly correlated with ORR, PFS and OS. A significant interaction was observed between the presence of ctDNA and eryaspase efficacy. In patients with ctDNA detectable at baseline, eryaspase was associated with better PFS (HR = 0.53; 95% CI: 0.3-0.94) and OS (HR = 0.52; 95% CI: 0.29-0.91). Conclusions: We confirm from a prospective randomized trial that 1/ the presence of ctDNA at baseline is a major prognostic factor, 2/ the early change of ctDNA correlates with treatment outcome and 3/ the ctDNA could be a predictive biomarker of eryaspase efficacy. Clinical trial information: NCT02195180 .

Plasma circulating tumor DNA in pancreatic adenocarcinoma for screening, diagnosis, prognosis, treatment and follow-up: A systematic review

While no biomarker is currently recommended for the management of pancreatic adenocarcinoma (PA), circulating tumor DNA (ctDNA) seems promising but little is known on how it may help to manage our patients in the near future. This systematic review of literature was designed to explore the current knowledge on ctDNA as a screening, diagnostic, prognostic, predictive and theranostic biomarker in the management of PA. We retrieved 62 full-text articles, 3 meta-analyses, 2 clinical trials, 1 abstract and 13 ongoing trials. Results were categorized into sections about screening, diagnosis, prognosis and follow-up of localized and advanced PA together with possible theranostics applications. Although its specificity is excellent, the current sensitivity of ctDNA remains a limitation especially in patients without metastatic disease. Therefore, this biomarker cannot be currently used as a screening or diagnostic tool. Increasing evidence suggests that ctDNA is a relevant candidate biomarker to assess minimal residual disease after radical surgery, but also a strong independent biomarker linked to a poor prognosis in advanced PA. Some recent data also indicates that ctDNA is an attractive biomarker for longitudinal follow-up and possibly early treatment adaptation. Its role in tumor profiling in advanced disease to decide targeted treatments remains to be explored. Altogether, ctDNA appears to be a reliable prognostic tool. Though promising results have been reported, further studies are still needed to define exactly how ctDNA can help physicians in the screening, diagnosis and treatment, as PA is expected to become a major cause of cancer-related deaths in the forthcoming decade.

The area between ROC curves, a non-parametric method to evaluate a biomarker for patient treatment selection

Treatment selection markers are generally sought for when the benefit of an innovative treatment in comparison with a reference treatment is considered, and this benefit is suspected to vary according to the characteristics of the patients. Classically, such quantitative markers are detected through testing a marker-by-treatment interaction in a parametric regression model. Most alternative methods rely on modeling the risk of event occurrence in each treatment arm or the benefit of the innovative treatment over the marker values, but with assumptions that may be difficult to verify. Herein, a simple non-parametric approach is proposed to detect and assess the general capacity of a quantitative marker for treatment selection when no overall difference in efficacy could be demonstrated between two treatments in a clinical trial. This graphical method relies on the area between treatment-arm-specific receiver operating characteristic curves (ABC), which reflects the treatment selection capacity of the marker. A simulation study assessed the inference properties of the ABC estimator and compared them with other parametric and non-parametric indicators. The simulations showed that the estimate of the ABC had low bias, power comparable to parametric indicators, and that its confidence interval had a good coverage probability (better than the other non-parametric indicator in some cases). Thus, the ABC is a good alternative to parametric indicators. The ABC method was applied to data of the PETACC-8 trial that investigated FOLFOX4 versus FOLFOX4 + cetuximab in stage III colon adenocarcinoma. It enabled the detection of a treatment selection marker: the DDR2 gene.

Prognostic and predictive value of the Immunoscore in stage III colon cancer patients treated with oxaliplatin in the prospective IDEA France PRODIGE-GERCOR cohort study

BACKGROUND

The Immunoscore (IS), which prognostically classifies stage I-III colon cancer (CC) patients, was evaluated in the International Duration Evaluation of Adjuvant Therapy (IDEA) France cohort study investigating 3 versus 6 months of oxaliplatin-based adjuvant chemotherapy in stage III CC patients.

PATIENTS AND METHODS

Densities of CD3+ and CD8+ T cells in the tumor and invasive margin were determined by immunohistochemistry, quantified by digital pathology, and converted to IS. Mismatch repair status was determined by immunohistochemistry or by pentaplex PCR. Prediction of disease-free survival (DFS) by IS was analyzed by a multivariable Cox regression model in each study arm. Harrell's C-statistics were used to investigate the IS performance.

RESULTS

Samples of 1322 patients were available. IS Low, Intermediate (Int), and High were observed in 43.6%, 47.0%, and 9.4% of patients, respectively. IS Low identified patients at higher risk of relapse or death compared with Int + High [hazard ratio (HR) = 1.54; 95% confidence interval (CI) 1.24-1.93, P = 0.0001]. The 3-year DFS was 66.80% (95% CI 62.23-70.94) for IS Low and 77.14% (95% CI 73.50-80.35) for IS Int + High. In multivariable analysis, IS remained significantly independently associated with DFS (P = 0.003) when adjusted for sex, histological grade, T/N stage, and microsatellite instability. For mFOLFOX6-treated patients (91.6% of the cohort), a statistical significant interaction was observed for the predictive value of IS for treatment duration (3 versus 6 months) in terms of DFS (P = 0.057). IS Int + High significantly predicted benefit of 6 months of treatment (HR = 0.53; 95% CI 0.37-0.75; P = 0.0004), including clinically low- and high-risk stage III CC (all P < 0.001). Conversely, patients with IS Low (46.4%) did not significantly benefit from the 6-month mFOLFOX6 versus the 3-month mFOLFOX6.

CONCLUSIONS

The prognostic value of IS for DFS was confirmed in patients with stage III CC treated with oxaliplatin-based chemotherapy. Its predictive value for DFS benefit of longer duration of mFOLFOX6 adjuvant treatment was found in IS Int + High. These results will be validated in an external independent cohort. CLINICALTRIALS.

GOV REGISTRATION

NCT03422601; EudraCT Number: 2009-010384-16.

Nal-IRI/LV5-FU versus paclitaxel as second-line therapy in patients with metastatic esophageal squamous cell carcinoma (OESIRI)-PRODIGE 62: A multicentre, randomised, non-comparative phase II study

Half of patients newly diagnosed with esophageal squamous cell cancer (ESCC) have metastatic disease (mESCC) and therefore a poor prognosis. Furthermore, half of patients with initial loco-regional disease present disease recurrence after surgery and/or chemoradiation. In mESCC, the recommended first-line treatment combines 5-fluorouracil and cisplatin, although this has not been validated by a phase III trial. Patients with disease progression or recurrence after platinum-based chemotherapy and good performance status probably benefit from second-line chemotherapy. Several molecules have been evaluated in phase I/II trials or retrospective studies (docetaxel, paclitaxel and irinotecan) but no randomised studies are available. OESIRI is a multicentre, randomised, open-label phase II trial designed to evaluate efficacy and safety of liposomal irinotecan (nal-IRI) plus 5-FU versus paclitaxel as second-line therapy in patients with mESCC. The main inclusion criteria are histologically proven mESCC in progression after first-line platinum-based chemotherapy. Patients with initial resectable disease can be included if recurrence occurred within 6 months. The primary objective is to evaluate the percentage of patients alive 9 months after randomisation. Secondary endpoints are progression-free survival, overall survival, response rate, safety and quality of life. In addition, circulating tumour DNA will be monitored to assess its prognostic value.

Clinical Outcomes in Patients With Colon Cancer With Microsatellite Instability of Sporadic or Familial Origin Treated With Adjuvant FOLFOX With or Without Cetuximab: A Pooled Analysis of the PETACC8 and N0147 Trials

PURPOSE

The microsatellite instability (MSI) or deficient mismatch repair (dMMR) phenotype is usually regarded as a single biologic entity, given the absence of comparative analyses regarding prognosis and response to chemotherapy between sporadic and familial dMMR cancers.

PATIENTS AND METHODS

Patients with stage III colon cancers were randomly assigned to FOLFOX (leucovorin, fluorouracil, and oxaliplatin) with or without cetuximab in 2 large adjuvant phase III trials (N = 5,577). Among patients with MSI and KRAS exon 2 wild-type (WT) tumors, the prognostic and predictive impacts of sporadic versus familial dMMR cancers and BRAF V600E mutational status were determined. Multivariable Cox proportional hazards models were used to assess disease-free survival (DFS) by treatment arm, adjusting for age, sex, tumor grade, Eastern Cooperative Oncology Group performance status, pT/pN stage, and primary tumor location.

RESULTS

Among patients with MSI status with complete data for dMMR mechanism analysis (n = 354), 255 (72%) had sporadic (BRAF mutation and/or MLH1 methylation) and 99 (28%) had familial tumors (BRAF WT and unmethylated MLH1 or loss of MSH2/MSH6/PMS2 protein expression). A large proportion of dMMR sporadic tumors were mutated for BRAF (n = 200). In patients treated with FOLFOX, DFS did not differ statistically by dMMR mechanism, whereas in patients treated with FOLFOX plus cetuximab, those with sporadic tumors had worse DFS than those with familial cancers (multivariable hazard ratio, 2.69; 95% CI, 1.02 to 7.08; P = .04). Considering the predictive utility, the interaction between treatment and dMMR mechanism was significant (P = .03). Furthermore, a nonsignificant trend toward a deleterious effect of adding cetuximab to FOLFOX was observed in patients with BRAF-mutant but not BRAF WT tumors.

CONCLUSION

The addition of cetuximab to adjuvant FOLFOX was associated with shorter DFS in patients with sporadic dMMR colon cancer. Additional studies are needed to validate these results in metastatic disease.

[Hereditary breast and ovarian cancer syndrome: Diagnosis and therapeutic implications]

Patients who carry the BReast Cancer 1 or 2 (BRCA) gene mutations have an underlying hereditary predisposition for breast and ovarian cancers. These deleterious genetic mutations are the most common ones implicated in hereditary breast and ovarian cancers. Oncogenetic counselling plays a key role in identifying patient for BRCA testing and for mutation identification. BRCA1/2 carriers have to be followed up regularly and may justify breast and/or adnexal prophylactic surgery, according to the French National Cancer Institute guidelines (INCa). Poly- (DNA-riboses) polymerases inhibitors, notably olaparib, have a major role in the management of epithelial ovarian cancer in patients with BRCA mutation and many studies are ongoing to expand their indications in a near future.

Prognostic and predictive value of the Immunoscore in stage III colon cancer patients treated with mFOLFOX6 (three versus six months) in the prospective IDEA France cohort study (PRODIGE-GERCOR)

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Background: In stage III colon cancer patients treated with CAPOX, 3 months of therapy was as effective as 6 months. It was not the case for those receiving mFOLFOX6. We assessed the prognostic and predictive value of the Immunoscore (IS) in the mFOLFOX6 subgroup (90% of patients enrolled) of the IDEA France cohort study. Methods: 1200 patients randomly assigned to 3 months (n = 593) or 6 months (n = 607) of mFOLFOX6, with available tumor sample, were included. Densities of CD3+ and cytotoxic CD8+ T-cells in the tumor and invasive margin were determined by immunohistochemistry, quantified by digital pathology, and converted to IS using the pre-defined cut-off. The IS performance to predict disease-free survival (DFS) was assessed in each arm and adjusted in multivariate Cox models. Results: In a two-category IS analysis, Low and (Int+High) IS were observed in 423 (43.5%) and 550 (56.5%) patients, respectively. Low IS identified patients with higher-risk of relapse or death (HR = 1.60; 95% CI 1.27-2.01, P < 0.0001). The 3-year DFS was 66.34% (95% CI 61.54-70.69) and 77.66% (95% CI 73.86-80.97) for Low and (Int+High) IS, respectively. In multivariate analysis, IS remained independently associated with DFS (P = 0.0007) when combined with T/N stage. A statistically significant interaction was observed for the IS predictive value for treatment duration (3 vs 6 months) in term of DFS in the whole population (P = 0.0566) and TN subgroups (Low-risk T1-3, N1 vs High-risk T4 and/or N2; P = 0.0015). The 3-year DFS of patients with (Int+High) IS in the 3-month arm was 71.5% (95% CI 65.7-76.6) versus 83.8% (95% CI, 78.8-87.8) in the 6-month arm (HR = 0.528; 95% CI 0.372-0.750; log-rank P = 0.0004); the benefit retained in low-risk and high-risk patients (all P≤0.010). 6-month mFOLFOX6 showed no significant benefit for patients with Low IS (HR = 0.836, log-rank P = 0.269). Conclusions: The IS prognostic value in patients treated with mFOLFOX6 was confirmed. Its predictive value for benefit of longer duration treatment, despite a strong statistical signal, needs to be confirmed in an external validation cohort. Clinical trial information: NCT03422601.

Role of GSTM1 and GSTT1 genotypes in differentiated thyroid cancer and interaction with lifestyle factors: Results from case-control studies in France and New Caledonia

Background

GSTM1 and GSTT1 are involved in detoxification of xenobiotics, products of oxidative stress and in steroid hormones metabolism. We investigated whether GSTM1 and GSTT1 gene deletion was associated with DTC risk and explored interaction with non-genetic risk factors of DTC.

Methods

The study included 661 DTC cases and 736 controls from two case-control studies conducted in France and New Caledonia. Odds ratios (OR) and their confidence interval (CI) for DTC associated with GST genotypes, alcohol drinking, tobacco smoking, body mass index and hormonal factors were calculated using logistic regression models.

Results

Results are presented for Europeans and Melanesians combined, as no heterogeneity between groups was detected. We found that DTC risk increased with obesity and decrease with alcohol drinking. After stratification by gene deletion status, the OR for obesity was 5.75, (95%CI 2.25–14.7) among individuals with GSTT1 and GSTM1-deleted genotype, and 1.26, (95%CI 0.89–1.77) in carriers of both genes (p-interaction = 0.02). The OR for drinking ≥1 glass/week was 0.33 (95%CI 0.15–0.74) in GSTT1-null individuals while it was 1.01 (95%CI 0.67–1.52) in non-null carriers of the gene (p-interaction = 0.01). No interaction between GST genotypes and other non-genetic risk factors was detected.

Conclusion

GSTM1 and GSTT1 genotypes may modulate the DTC risk associated with BMI and alcohol consumption.