Claudio Zamagni

Leveraging Real-World Data From a Clinicogenomic Database Addresses the Treatment Gap in Patients With High-Grade Serous Ovarian Cancer

PURPOSE This study used a deidentified nationwide (US-based) high-grade serous ovarian cancer (HGSOC) clinicogenomic database (CGDB) to enrich our understanding of HGSOC's genomic heterogeneity and assess the utility of comprehensive genomic profiling (CGP) in clinical settings. PATIENTS AND METHODS We conducted a retrospective observational analysis on 856 patients with HGSOC profiled with CGP genomic tests, retrieved from CGDB from January 2011 to September 2023. RESULTS In addition to BRCA1 (11.7%) and BRCA2 (6.5%) variants, CGP revealed further potentially actionable alterations (amplifications and/or mutations) in CCNE1 (16%), FGFR1/2/3/4 (6.5%), PIK3CA (3.9%), TP53 Y220C (3.7%), ERBB2 (3.5%), CDK12 (2.3%), ARID1A (2.2%), KRAS (2.1%), and BRAF (1%) genes. Then, 439 patients were selected, presenting both CGP test performed on specimen collected at the time of surgery and initiation of first-line therapy within ±8 months from surgery, and categorized into no (NS, n = 74), interval (IS, n = 157), and upfront surgery (n = 208) groups, each comparable by clinical features. The CGP revealed BRCA mutations, at similar frequency in the three groups, in 54/439 patients (12.3%). Patients with pathogenic BRCA mutations had better event-free survival (EFS) compared with those with BRCA wt . Loss-of-heterozygosity (LOH) ≥16 (LOH-positive patients) was found in 142/433 (32.8%) patients, with different prevalence across treatment groups (12.8% NS; 9% IS; 8.8% upfront surgery). Patients treated with poly (ADP-ribose) polymerase inhibitors (PARPi) had improved EFS (hazard ratio for other drugs v PARPi 1.77 [95% CI, 1.21 to 2.58]). Interestingly, in 206 BRCA wt and LOH-negative patients, not eligible for PARPi, CGP detected potentially targetable alterations in 99 of them (48%). CONCLUSION Overall, our study provides evidence that CGP significantly improves the identification of molecular targets in HGSOC, supporting its importance in the clinical practice to provide patients with more therapeutic options.

Endometrial carcinoma and immune escape: prognostic relevance of HLA class I loss in NSMP subtype

Aims This study aims to define and characterize human leukocyte antigen class I (HLA‐I) expression in a consecutive series of molecularly classified endometrial carcinomas (ECs), and to evaluate its association with clinicopathologic features, spatial cancer–immune phenotypes and patient prognosis, with a focus on the NSMP (no specific molecular profile) subtype. Methods and results HLA‐I expression was assessed by immunohistochemistry on whole tissue sections from 208 ECs, classified into POLE ‐mutated, MMR‐deficient (MMRd), p53‐abnormal (p53abn) and NSMP subtypes. Loss of HLA‐I was identified in 31% of cases and was associated with adverse features including high‐grade, aggressive histotypes, deep myometrial invasion, substantial lymphovascular space invasion (LVSI), extensive tumour necrosis and an ‘excluded’ immune phenotype. While HLA‐I loss showed no significant prognostic impact in POLE , MMRd or p53abn tumours, it significantly correlated with worse disease‐free survival in NSMP tumours ( P  < 0.001). Multivariate analysis confirmed HLA‐I loss as an independent prognostic factor in early‐stage NSMP ECs, in addition to substantial LVSI, presence of lymph node metastases and spatial cancer–immune phenotypes. Integration of HLA‐I status improved the performance of predictive models over time. Conclusions HLA‐I loss defines a biologically aggressive subgroup within NSMP ECs and is associated with adverse clinicopathologic and immune features. Assessment of HLA‐I expression could refine risk stratification in NSMP ECs, a group traditionally lacking robust prognostic markers and may help identify patients who could benefit from intensified clinical surveillance and future immunomodulatory treatment strategies.

Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slides

Ovarian cancer patients with a Homologous Recombination Deficiency (HRD) often benefit from polyadenosine diphosphate-ribose polymerase (PARP) inhibitor maintenance therapy after response to platinum-based chemotherapy. HR status is currently analyzed via complex molecular tests. Predicting benefit from PARP inhibitors directly on histological whole slide images (WSIs) could be a fast and cheap alternative. We trained a Deep Learning (DL) model on H&E stained WSIs with "shrunken centroid" (SC) based HRD ground truth using the AGO-TR1 cohort (n = 208: 108 training, 100 test) and tested its ability to predict HRD as evaluated by the Myriad classifier and the benefit from olaparib in the PAOLA-1 cohort (n = 447) in a blinded manner. In contrast to the HRD prediction AUROC of 72 % on hold-out, our model only yielded an AUROC of 57 % external. Kaplan-Meier analysis showed that progression free survival (PFS) in the PARP inhibitor treated PAOLA-1 patients was significantly improved in the HRD positive group as defined by our model, but not in the HRD negative group. PFS improvement in PARP inhibitor-treated patients was substantially longer in our HRD positive group, hinting at a biologically meaningful prediction of benefit from PARP inhibitors. Together, our results indicate that it might be possible to generate a predictor of benefit from PARP inhibitors based on the DL-mediated analysis of WSIs. However, further studies with larger cohorts and further methodological improvements will be necessary to generate a predictor with clinically useful accuracy across independent patient cohorts.

Optimal number of neoadjuvant chemotherapy cycles prior to interval debulking surgery in advanced epithelial ovarian cancer: a systematic review and meta-analysis of progression-free survival and overall survival

Neoadjuvant chemotherapy (NACT) represents a treatment option in patients with advanced epithelial ovarian cancer (AEOC) who are not good candidates for primary debulking surgery. Usually, 3 cycles of chemotherapy before surgery have been considered the best option for patient survival, although quite often some patients receive more than 3 cycles. The aim of this systematic review and meta-analysis was to identify the optimal number of NACT cycles reporting better survival in AEOC patients. PubMed, Cochrane Library, and Scopus were searched for original articles that analyzed the relationship between the number of chemotherapy cycles and clinical outcomes in AEOC patients before interval debulking surgery (IDS). The main outcomes were progression-free survival (PFS) and overall survival (OS). A total of 22 studies comprising 7,005 patients diagnosed with AEOC were included in our analysis. In terms of survival, the reviewed studies dividing the patients in ≤3 NACT cycles vs. >3, showed a trend for a decrease in PFS and a significant reduction in OS with an increasing number of cycles, while a difference in both PFS and OS was revealed if early IDS included patients with 4 NACT cycles. These results should be interpreted with caution due to the complex characteristics of AEOC patients. In conclusion, our review and meta-analysis revealed that there is not enough evidence to determine the optimal number of NACT treatments before surgery. Further research in the form of well-designed randomized controlled trials is necessary to address this issue. PROSPERO Identifier: CRD42022334959.