Discovery of a biomarker candidate for surgical stratification in high-grade serous ovarian cancer.

ABSTRACT:

Background

Maximal effort cytoreductive surgery is associated with improved outcomes in advanced high-grade serous ovarian cancer (HGSOC). However, despite complete gross resection (CGR), there is a percentage of patients who will relapse and die early. The aim of this study is to identify potential candidate biomarkers to help personalise surgical radicality.

Methods

136 advanced HGSOC cases who underwent CGR were identified from three public transcriptomic datasets. Candidate prognostic biomarkers were discovered in this cohort by Cox regression analysis, and further validated by targeted RNA-sequencing in HGSOC cases from Imperial College Healthcare NHS Trust (n = 59), and a public dataset. Gene set enrichment analysis was performed to understand the biological significan

SUBMITTER: Lu H 

PROVIDER: S-EPMC8007618 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature