Subtype-specific analysis of gene co-expression networks and immune cell profiling reveals high grade serous ovarian cancer subtype linkage to variable immune microenvironment.

ABSTRACT: High-grade serous ovarian cancer (HGSOC) is marked by significant molecular diversity, presenting a major clinical challenge due to its aggressive nature and poor prognosis. This study aims to deepen the understanding of HGSOC by characterizing mRNA subtypes and examining their immune microenvironment (TIME) and its role in disease progression. Using transcriptomic data and an advanced computational pipeline, we investigated four mRNA subtypes: immunoreactive, differentiated, proliferative, and mesenchymal, each associated with distinct gene expression profiles and clinical behaviors. We performed differential expression analysis among mRNA subtypes using DESeq2 and conducted Weighted Gene Co-Expression Network Analysis (WGCNA) to identify co-expressed gene modules related to clinical trai

SUBMITTER: Carey KM 

PROVIDER: S-EPMC11613732 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature