[Identification of Hub Genes for Ovarian Cancer Stem Cell Properties with Weighted Gene Co-expression Network Analysis].

ABSTRACT:

Objective

To investigate the significance of stemness-related genes in the diagnosis and treatment of ovarian cancer.

Methods

Key modules and genes were identified with weighted gene co-expression network analysis (WGCNA). The signal pathways of high expression of key genes were analyzed by gene set enrichment analysis (GSEA) and single cell sequencing data. The chemosensitivity of ovarian cancer to chemotherapy drugs was estimated with pRRophetic. Flow cytometry was used to examine the expression of CD44 ⁺CD117 ⁺in SKOV3 cells and cancer stem cells. The expression of key genes in ovarian cancer stem cells was confirmed by qRT-PCR. The core genes were identified by GeneMANIA analysis.

Results

According to the WGCNA results, 15 key genes were iden

SUBMITTER: Luo M 

PROVIDER: S-EPMC10408925 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature