Optimizing therapeutic strategies for metastatic triple-negative breast cancer with homologous recombination deficiency: A Bayesian network meta-analysis.
Year: 2025
Type: conference-abstract
Study designs: Systematic Review, Meta-Analysis
Abstract: e13142 Background: Homologous recombination deficiency (HRD) is a key molecular feature in a subset of triple-negative breast cancer (TNBC). The optimal treatment strategy for metastatic TNBC with HRD remains unclear despite multiple therapeutic options. Methods: A systematic search was performed in PubMed, Embase, Cochrane CENTRAL, and ClinicalTrials.gov, including conference proceedings, up to November 27, 2024. Eligible studies included randomized controlled trials and retrospective studies reporting efficacy outcomes for metastatic TNBC with HRD biomarkers. Pairwise meta-analysis using random-effects models and Bayesian network meta-analysis were conducted. Hazard ratios (HRs) or odds ratios (ORs) with 95% credible intervals (CrIs) were used. Primary outcomes included progression-free survival (PFS) and overall survival (OS); secondary outcomes were objective response rate (ORR) and adverse events (AEs). Results: Thirteen studies with 1,341 patients and 8 treatment regimens were included. For metastatic TNBC with HRD, PARP inhibitors (PARPi), platinum-based chemotherapy (PBCT), and PARPi + PBCT significantly improved PFS compared to platinum-free chemotherapy (PFCT) (HR 0.53, 95% CrI 0.31-0.90; HR 0.60, 95% CrI 0.35-0.90; HR 0.41, 95% CrI 0.20-0.74). PARPi + PBCT ranked highest for PFS (SUCRA = 78.8%), while sacituzumab govitecan (SG) ranked highest for OS (SUCRA = 86.1%). PARPi + ATR inhibitor (ATRi) showed the highest ORR (SUCRA = 75.8%). PARPi + PBCT had the highest all-grade AEs (SUCRA = 30.5%), with PFCT having the lowest (SUCRA = 77.6%). Conclusions: PARPi + PBCT and SG provide the greatest PFS and OS benefits, respectively, for metastatic TNBC with HRD. Further biomarker-driven studies are needed to refine therapeutic strategies.
Source: Journal of Clinical Oncology
Authors: Hangcheng Xu, Yan Wang, Qiang Sa, Yiran Zhou, Jiayu Wang, Binghe Xu
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Award: G6276685493
OpenAlex ID: W4410804595
