Exosome-Associated Gene Signature for Predicting the Prognosis of Ovarian Cancer Patients.

ABSTRACT:

Background

The exosome is of vital importance throughout the entire progression of cancer. Because of the lack of effective biomarkers in ovarian cancer (OV), we intend to investigate the connection between exosomes and tumor immune microenvironment to verify that exosome-related genes (ERGs) can precisely forecast the prognosis of OV patients.

Methods

First, 117 ERGs in The Cancer Genome Atlas (TCGA) dataset were recognized. Afterwards, the risk signature consisting of four ERGs with prognostic significance was built by univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analysis. We also validated the risk signature by Kaplan-Meier analysis, receiver operating characteristic curve analysis and principal component analysi

SUBMITTER: Zhu Z 

PROVIDER: S-EPMC9886487 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature