Identifying macrophage-associated subtypes in patients with serous ovarian cancer and exploring potential personalized therapeutic drugs using combined single-cell and bulk RNA sequencing omics.

ABSTRACT:

Purpose

We aimed to analyze the sensitivity of patients to chemotherapy drugs and actively explore potential new intervention targets, providing an essential reference for personalized treatment.

Methods

Candidate markers with significant differential expression in macrophages were identified by analyzing gene expression at the single-cell level. A weighted gene co-expression network (WGCN) was constructed on the GSE26712 dataset to explore the modules most relevant to macrophages. Differentially expressed genes for specific markers were identified. A multi-factor regulatory network was constructed based on single-cell dataset markers screening, differentially expressed genes, and genes commonly present in WGCNA modules. Different macrophage subtypes were identified using th

SUBMITTER: Teng F 

PROVIDER: S-EPMC11870195 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature