Integrating homologous recombination deficiency subtyping with TCGA molecular classification for enhanced prognostic stratification and personalised therapy in endometrial cancer.

ABSTRACT:

Background

Homologous recombination deficiency (HRD) has emerged as a functional biomarker reflecting genome-wide DNA repair defects and genomic instability. While the Cancer Genome Atlas (TCGA) molecular classification provides valuable prognostic guidance in endometrial cancer (EC), it lacks resolution for DNA repair competency and therapeutic responsiveness. This study aimed to investigate whether HRD subtyping could complement TCGA classification for improved prognostic stratification and therapeutic decision-making.

Methods

A total of 142 EC patients were analysed using a next-generation sequencing panel and genomic scar-based HRD scoring (loss of heterozygosity, telomeric allelic imbalance, large-scale state transitions). Unsupervised clustering stratified patients int

SUBMITTER: Wang W 

PROVIDER: S-EPMC12764803 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature