OVsignGenes: A Gene Expression-Based Neural Network Model Estimated Molecular Subtype of High-Grade Serous Ovarian Carcinoma.

ABSTRACT:

Background/objectives

High-grade serous carcinomas (HGSCs) are highly heterogeneous tumors, both among patients and within a single tumor. Differences in molecular mechanisms significantly describe this heterogeneity. Four molecular subtypes have been previously described by the Cancer Genome Atlas Consortium: differentiated, immunoreactive, mesenchymal, and proliferative. These subtypes may have varying degrees of progression, relapse-free survival, and overall survival, as well as response to therapy. The precise determination of these subtypes is certainly necessary both for diagnosis and future development of targeted therapies within personalized medicine.

Methods

In this study, we analyzed gene expression data based on bulk RNA-seq, scRNA-seq, and spatial transcriptomi

SUBMITTER: Kobelyatskaya A 

PROVIDER: S-EPMC11639876 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature