Patricia Pautier

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.

Recommandations pour la pratique clinique Nice/Saint-Paul-de-Vence 2024–2025 : prise en charge du cancer du col de l’utérus avancé

During decades, first-line treatment of advanced cervical cancer solely consisted of platinum-based chemotherapy, associated with bevacizumab whenever possible. Since 2022, immunotherapy is part of standard therapeutic strategy with pembrolizumab on the one hand, associated with chemotherapy and bevacizumab in patients with PD-L1 positive tumors (CPS≥1), and cemiplimab on the other hand, in patients who did not receive prior immunotherapy and progress after first line regardless of PD-L1 expression. Pretherapeutic work-up includes CT of the chest, abdomen and pelvis potentially associated with

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.