The molecular prognostic score, a classifier for risk stratification of high-grade serous ovarian cancer.

ABSTRACT:

Background

The clinicopathological parameters such as residual tumor, grade, the International Federation of Gynecology and Obstetrics (FIGO) score are often used to predict the survival of ovarian cancer patients, but the 5-year survival of high grade serous ovarian cancer (HGSOC) still remains around 30%. Hence, the relentless pursuit of enhanced prognostic tools for HGSOC, this study introduces an unprecedented gene expression-based molecular prognostic score (mPS). Derived from a novel 20-gene signature through Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression, the mPS stands out for its predictive prowess.

Results

Validation across diverse datasets, including training and test sets (n = 491 each) and a large HGSOC patient cohort from the Ovarian Tum

SUBMITTER: Sarkar S 

PROVIDER: S-EPMC11296390 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature