Etienne Rouleau

Early Clinical and Molecular Biomarkers in Patients With Advanced Ovarian Cancer Undergoing Neoadjuvant Chemotherapy: CHIVA Phase II GINECO Trial

PURPOSE Platinum-based chemotherapy and surgery are pivotal in managing ovarian cancer (OC), yet prognosis remains poor, and early biomarkers for platinum resistance are needed. The neoadjuvant setting provides an opportunity to evaluate tumor responsiveness to platinum chemotherapy in vivo. This study evaluated whether early measures of platinum response combined with molecular alterations could predict surgical outcomes and survival in patients with OC treated with neoadjuvant chemotherapy (NACT). METHODS The CHIVA study enrolled stage III/IV OC patients eligible for three cycles NACT with or without nintedanib, followed by interval debulking surgery. Archival samples underwent extensive sequencing to detect clinically relevant variants and copy number alterations and calculate genomic instability (GIS). Early chemotherapy response measures—cancer antigen 125 kinetics by KELIM, major pathologic response, GIS status, tumor infiltrating lymphocytes (TILs) abundance, and genomic alterations—were correlated with surgery completeness and survival. RESULTS Among 127 patients, the overall response rate was 44%, and the complete cytoreduction (CC0) rate was 54.8%. Homologous recombination deficiency (HRD) was identified in 56% of patients and was associated with better survival. The median progression-free survival was 21.4, 20.5, and 14.4 months in the BRCAmut , BRCAwt /GIS-high, and BRCAwt /GIS-low subgroups, respectively ( P = .001). Unfavorable KELIM predicted lower objective response rate, CC0, and shorter survival, while low intraepithelial TILs (ieTILs) correlated with poor outcomes. Multivariate analysis confirmed KELIM, HRD status, and ieTILs as independent biomarkers. CCNE1 amplifications, observed in 20% of patients, were associated with moderate chemotherapy sensitivity. CONCLUSION HRD status, KELIM, and TILs are key independent biomarkers in advanced OC. CCNE1 amplifications, although typically associated with platinum resistance, were linked to moderate chemotherapy sensitivity, defining an intermediate prognostic subgroup.

Clinical and biological characteristics associated with loss-of-heterozygosity in endometrial cancer

Genomic instability has been identified in a subgroup of endometrial cancers (ECs) that are predominantly We conducted a retrospective analysis of EC patients from France and Singapore. All patients underwent comprehensive molecular profiling using the tumor based FoundationOne CDX panel. The degree of LOH was correlated with molecular and clinicopathologic findings. LOH-high, intermediate and low were defined as ≥14%, 4%-14%, and <4%, respectively. One hundred twelve patients were identified, including 66% Asian and 34% Caucasian. Fifty nine percent had International Federation of Gynecology and Obstetrics III/IV diseases, 34% low-grade endometrioid, 19% high-grade endometrioid, and 15% serous. The 63% and 50% of tumors expressed estrogen receptor (ER) and progesterone receptor (PR). One percent had a In this large multiethnic cohort, 17% of EC exhibited high LOH and correlated with hormone-receptor-negative tumors and poorer survival rates. LOH may serve as a tool for identifying EC cases with high genomic instability that could potentially benefit from PARP inhibitors.

Concordance Between Tumor and Germline BRCA Status in High-Grade Ovarian Carcinoma Patients in the Phase III PAOLA-1/ENGOT-ov25 Trial

Abstract Background PAOLA1 is a phase III study assessing olaparib maintenance therapy in advanced high-grade ovarian carcinoma patients responding to first-line platinum-taxane–based chemotherapy plus bevacizumab as standard of care. Randomization was stratified by treatment outcome and tumor BRCA1/2 status (tBRCA) at screening. Methods tBRCA was tested on formalin-fixed, paraffin-embedded tumor blocks on 5 French platforms using 2 next-generation sequencing methods based either on hybrid capture or amplicon technology. One of the exploratory objectives was to assess the concordance between germline (gBRCA) and tBRCA testing in French patients. gBRCA testing was performed on blood samples on the same platforms. Results From May 2015 to July 2017, tBRCA tests were performed for 1176 screened patients. Only 52 (4.4%) tumor samples were noncontributive. The median interval between reception of the tumor sample and availability of the tBRCA status result was 37 days (range = 8-260). A pathogenic variant was reported in 27.1% tumor samples (319 of 1176 screened patients). tBRCA and gBRCA testing were performed for 451 French patients with negative results for both tests in 306 patients (67.8%) and positive results for both tests in 85 patients (18.8%). Only 1 large genomic rearrangement of BRCA1 was detected, exclusively in the blood sample. Interestingly, tBRCA testing revealed 6.4% of pathogenic variant (29 of 451) not detected by gBRCA testing. Conclusions tBRCA testing is an appropriate tool with an acceptable turnaround time for clinical practice and a low failure rate, ensuring reliable identification of patients likely to benefit from poly(ADP-ribose) polymerase inhibitor therapy.

Spatial Profiling of Ovarian Carcinoma and Tumor Microenvironment Evolution under Neoadjuvant Chemotherapy

Abstract Purpose: This study investigates changes in CD8+ cells, CD8+/Foxp3 ratio, HLA I expression, and immune coregulator density at diagnosis and upon neoadjuvant chemotherapy (NACT), correlating changes with clinical outcomes. Experimental Design: Multiplexed immune profiling and cell clustering analysis were performed on paired matched ovarian cancer samples to characterize the immune tumor microenvironment (iTME) at diagnosis and under NACT in patients enrolled in the CHIVA trial (NCT01583322). Results: Several immune cell (IC) subsets and immune coregulators were quantified pre/post-NACT. At diagnosis, patients with higher CD8+ T cells and HLA I+-enriched tumors were associated with a better outcome. The CD8+/Foxp3+ ratio increased significantly post-NACT in favor of increased immune surveillance, and the influx of CD8+ T cells predicted better outcomes. Clustering analysis stratified pre-NACT tumors into four subsets: high Binf, enriched in B clusters; high Tinf and low Tinf, according to their CD8+ density; and desert clusters. At baseline, these clusters were not correlated with patient outcomes. Under NACT, tumors were segregated into three clusters: high BinfTinf, low Tinf, and desert. The high BinfTinf, more diverse in IC composition encompassing T, B, and NK cells, correlated with improved survival. PDL1 was rarely expressed, whereas TIM3, LAG3, and IDO1 were more prevalent. Conclusions: Several iTMEs exist during tumor evolution, and the NACT impact on iTME is heterogeneous. Clustering analysis of patients unravels several IC subsets within ovarian cancer and can guide future personalized approaches. Targeting different checkpoints such as TIM3, LAG3, and IDO1, more prevalent than PDL1, could more effectively harness antitumor immunity in this anti-PDL1–resistant malignancy.

Validation of the Clinical Use of GIScar, an Academic-developed Genomic Instability Score Predicting Sensitivity to Maintenance Olaparib for Ovarian Cancer

Abstract Purpose: The optimal application of maintenance PARP inhibitor therapy for ovarian cancer requires accessible, robust, and rapid testing of homologous recombination deficiency (HRD). However, in many countries, access to HRD testing is problematic and the failure rate is high. We developed an academic HRD test to support treatment decision-making. Experimental Design: Genomic Instability Scar (GIScar) was developed through targeted sequencing of a 127-gene panel to determine HRD status. GIScar was trained from a noninterventional study with 250 prospectively collected ovarian tumor samples. GIScar was validated on 469 DNA tumor samples from the PAOLA-1 trial evaluating maintenance olaparib for newly diagnosed ovarian cancer, and its predictive value was compared with Myriad Genetics MyChoice (MGMC). Results: GIScar showed significant correlation with MGMC HRD classification (kappa statistics: 0.780). From PAOLA-1 samples, more HRD-positive tumors were identified by GIScar (258) than MGMC (242), with a lower proportion of inconclusive results (1% vs. 9%, respectively). The HRs for progression-free survival (PFS) with olaparib versus placebo were 0.45 [95% confidence interval (CI), 0.33–0.62] in GIScar-identified HRD-positive BRCA-mutated tumors, 0.50 (95% CI, 0.31–0.80) in HRD-positive BRCA-wild-type tumors, and 1.02 (95% CI, 0.74–1.40) in HRD-negative tumors. Tumors identified as HRD positive by GIScar but HRD negative by MGMC had better PFS with olaparib (HR, 0.23; 95% CI, 0.07–0.72). Conclusions: GIScar is a valuable diagnostic tool, reliably detecting HRD and predicting sensitivity to olaparib for ovarian cancer. GIScar showed high analytic concordance with MGMC test and fewer inconclusive results. GIScar is easily implemented into diagnostic laboratories with a rapid turnaround.