Construction of a prognostic signature for breast cancer based on genes involved in unsaturated fatty acid biosynthesis.

ABSTRACT:

Background

The biosynthesis of unsaturated fatty acids (UFAs) has been implicated in the onset and advancement of breast cancer (BC). This study aimed to develop molecular subtypes and prognostic signatures for BC based on UFA-related genes (UFAGs).

Methods

This study integrates multi-omics and survival data from public databases to elucidate molecular classifications and risk profiles based on UFAGs. Consensus clustering and Lasso Cox regression methodologies are employed for subtype identification and risk signature development, respectively. Immune microenvironment assessment is conducted using CIBERSORT and ESTIMATE algorithms, while drug sensitivity and response to immunotherapy are evaluated via pRRophetic and TIDE methods. Gene set enrichment analysis augments signatu

SUBMITTER: Meng H 

PROVIDER: S-EPMC11912055 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature