Using Exome Sequencing to Improve Prediction of FOLFIRINOX First Efficacy for Pancreatic Adenocarcinoma.

PURPOSE: The first line treatment of advanced pancreatic ductal adenocarcinoma cancer (PDAC) comprises a FOLFIRINOX regimen for most patients with good performance status. However, no biomarker to predict efficacy is currently available. We investigated whether exome sequencing could be used to predict progression-free and overall survival in patients undergoing FOLFIRINOX for PDAC. METHODS: In this single-center observational study, we included 78 patients with advanced PDAC who underwent somatic and germline exome analyses during first line therapy with FOLFIRINOX or gemcitabine. Exome-derived variables associated with outcome were then used in Cox regression models to generate a composite biomarker. RESULTS: Performance status, tumor stage, liver metastasis, and lung metastasis were retained to generate a prognostic clinical score associated with overall and progression-free survival. Clonality, ploidy, and copy number variant (CNV) signatures 1 and 5, as well as gene variants in the calcium, non-homologous end-joining (NHEJ), and spliceosome pathways, were retained to generate a genomic prognostic score. The addition of genomic score improved the prediction of prognosis compared to the clinical score alone. CONCLUSIONS: This study underlines that structural and pathway genomic features could be used to predict FOLFIRINOX survival in patients with advanced PDAC.

Role of pleural and peritoneal metastasis in immune checkpoint inhibitors efficacy patients with non-small cell lung cancer: real-world data from a large cohort in France.

BACKGROUND: Checkpoint inhibitors (CKI) targeting PD-1 or PD-L1 are major therapies for the treatment of non-small cell lung cancer (NSCLC). Despite numerous studies of biological biomarkers, we currently lack a marker to predict CKI primary resistance. The aim of this study was to isolate clinical markers associated with the absence of efficacy of CKI used as monotherapy in NSCLC. METHODS: We conducted a retrospective analysis of 172 patients treated with anti-PD1 or anti-PDL1 monoclonal antibodies (mAb) for advanced NSCLC at the Dijon Cancer Center. Baseline characteristics were compared using the Chi squared test between responders and non-responders. Survival curves were estimated by the Kaplan-Meier method and compared with the Log-rank test for univariate analysis. Cox regression models were used to determine hazard ratios and 95% confidence intervals for progression-free survival (PFS) and overall survival (OS). RESULTS: Among 172 patients included, 149 (86.5%) received CKI after platinum chemotherapy. Response rate (RR) was 16%, median progression-free survival (PFS) was 2.5 months (95% CI 0.7-30 months) and median overall survival (OS) was 10 months (95% CI 0.7-46.8 months). By univariate analysis, WHO performance status ≥ 1, presence of bone, liver and pleuroperitoneal metastasis were associated with poor PFS and OS. Multivariate analysis showed that only pleuroperitoneal metastasis was independently associated with PFS and OS. Patients with pleuroperitoneal metastasis and WHO performance status ≥ 1 had a < 10% chance of yielding a benefit from CKI. CONCLUSIONS: Our data support the hypothesis that pleuroperitoneal metastasis is a major predictive factor affecting CKI efficacy in NSCLC patients and may be used to avoid CKI monotherapy for such patients.

Baseline splenic volume as a surrogate marker of FOLFIRINOX efficacy in advanced pancreatic carcinoma.

BACKGROUND: The FOLFIRINOX regimen is the standard first-line treatment for advanced pancreatic adenocarcinoma (aPDAC). However, because of its potential toxicity, predictive biomarkers could help clinical decision-making. METHODS: A cohort of 97 aPDAC patients treated with first-line FOLFIRINOX were studied. The association between splenic volume and progression-free survival (PFS) and overall survival (OS) was evaluated using univariate and multivariable Cox analyses. The external validation cohort was composed of 117 patients treated with Gemcitabine and 52 patients treated with FOLFIRINOX. RESULTS: In the training cohort, the splenic volume of 97 patients was measured at baseline and at the end of therapy. The spleen size increased in 81% of patients, with at least a 50% increase in 27% of patients. Baseline splenomegaly predicted PFS (HR 1.812, 95% CI = [1.036-3.169]; p = 0.03) and OS (HR 1.983, 95% CI = [1.085-3.624]; p = 0.02) in the training cohort. These results were then validated in an external cohort of patients who were treated with FOLFIRINOX excluding those in the control cohort who were treated with gemcitabine. In a multivariate model based on the CoxBoost method, the following were selected as predictive markers of FOLFIRINOX efficacy (AUC = 0.81): performance status, liver metastasis, baseline Ca199 and CEA levels and baseline splenomegaly. The predictive ability of the model was validated in the external cohort that was also treated with FOLFIRINOX. CONCLUSIONS: Baseline splenomegaly is a predictive marker of a poor response to FOLFIRINOX in aPDAC and remained predictive when associated with other clinical variables.

Response to first line chemotherapy regimen is associated with efficacy of nivolumab in non-small-cell lung cancer.

Nivolumab, an anti PD-1 checkpoint inhibitor has demonstrated efficacy in metastatic non-small-cell lung cancer (NSCLC) patients after failure to standard chemotherapy. Standard chemotherapy agents could promote antitumor immune response. We thus examined whether the response to first line chemotherapy could impact on nivolumab benefit. One hundred and 15 patients with NSCLC were included in this retrospective study from 4 different French centers. Forty-three squamous cell carcinomas (SCC), and 72 non-SCC received nivolumab between 2015 and 2016 (3 mg/kg IV Q2W). Response to first-line chemotherapy and to nivolumab was retrospectively assessed on CT-scan by central review. The association between RECIST response to first-line chemotherapy and nivolumab efficacy were determined using Fisher's exact test and Cox proportional hazard model. Respectively 46 (40%), 44 (38%) and 25 (22%) patients experienced partial response (PR), stable disease (SD), or progressive disease (PD) in response to first-line platinum- based chemotherapy. Twenty 5 (21%), 34 (30%), 56 (49%) respectively experienced PR, SD and PD in response to nivolumab. 60% (54/90) of patients who experienced clinical benefit (PR + SD) after first-line chemotherapy also had clinical benefit after nivolumab, while only 20% (5/25) of patients with initial PD subsequently experienced clinical benefit with nivolumab (Fisher's exact test, P = 0.001). The type of first-line doublet chemotherapy did not influence the response rate to nivolumab. Univariate and multivariate analyses showed that patients with clinical benefit from first-line chemotherapy had higher second-line PFS (P = 0.003) (median PFS on nivolumab of 5, 3.3 and 1.9 months for patients with PR, SD and PD in response to first-line therapy, respectively). Similar results were obtained for OS. Thus this study suggests that the efficacy of first-line chemotherapy may be a valuable surrogate marker of the benefit of nivolumab in terms of PFS and OS.

Antibiotic Use Does Not Appear to Influence Response to Nivolumab.

BACKGROUND: Microbiota is known to influence response to anticancer immunotherapy. We examined whether antibiotic usage could impact nivolumab efficacy in patients treated for non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS: Seventy-four patients with NSCLC were included in this retrospective study. They received nivolumab between 2015 and 2016 (3 mg/kg i.v. q2w). The association between RECIST response and antibiotic usage was determined using Chi-square and Cox proportional hazard model. RESULTS: A total of 17, 21 and 36 patients experienced response, stable disease and progression disease under nivolumab. Only 15 (20.3%) patients were exposed to antibiotic medication in the 3 months before the first nivolumab injection or during treatment. We found a similar response rate for the two populations, without impact of antibiotic exposure (Chi-square test p=0.75). Moreover, we observed no impact of antibiotic medication on progression-free survival under nivolumab (log-rank test, p=0.72). CONCLUSION: Microbiota modification induced by antibiotics does not appear to affect the efficacy of nivolumab in patients with NSCLC.