Establishment and validation of a novel invasion-related gene signature for predicting the prognosis of ovarian cancer.

ABSTRACT:

Background

Ovarian cancer (OC) is an invasive gynaecologic cancer with a high cancer-related death rate. The purpose of this study was to establish an invasion-related multigene signature to predict the prognostic risk of OC.

Methods

We extracted 97 invasion-related genes from The Cancer Genome Atlas (TCGA) database. Then, the ConsensusClusterPlus and limma packages were used to calculate differentially expressed genes (DEGs). To calculate the immune scores of the molecular subtypes, we used ESTIMATE to evaluate the stromal score, immune score and ESTIMATE score. MCP-counter and the GSVA package ssgsea were used to evaluate the types of infiltrating immune cells. Survival and nomogram analyses were performed to explore the prognostic value of the signature. Finally, qPCR, im

SUBMITTER: Liang L 

PROVIDER: S-EPMC8922755 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature