Incorporating genotype information in a precise prediction model for platinum sensitivity in epithelial ovarian cancer.

ABSTRACT:

Objective

Develop a predicting model that can help stratify patients with epithelial ovarian cancer (EOC) before platinum-based chemotherapy.

Methods

148 patients with pathologically confirmed EOC and with a minimum 5-year follow-up were retrospectively enrolled. Patients were classified into platinum-sensitive and platinum-resistant groups according to treatment responses. The correlation between clinical factors and drug sensitivity was evaluated using statistical tests. Approximately 700,000 single-nucleotide polymorphism (SNP) sites were assessed for association with drug sensitivity via the Genome-wide Association Study (GWAS). LASSO regression and manual selection were employed to reduce the number of variables. A predicting model based on optimized variables was const

SUBMITTER: Du NY 

PROVIDER: S-EPMC11746020 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature