Prognostic value of fatty acid metabolism-related signature and integrated analysis of the immune microenvironment in multiple myeloma.

ABSTRACT:

Objective

Identifying fatty acid metabolism (FAM)-related molecular signatures to construct a prognostic model for multiple myeloma (MM) patients.

Methods

Transcriptomic profiles and clinical data from MM patients were retrieved from GEO and MMRF databases. FAM-related genes were screened by WGCNA, and one-way cox analysis was performed to identify genes associated with survival. LASSO regression analysis was then performed to construct FAM-related gene characteristics and risk scores. A clinical nomogram incorporating risk scores was developed. Immune microenvironment analysis (CIBERSORT) and functional enrichment (GO/KEGG/GSVA) were performed to characterize risk groups. Quantitative PCR validated hub gene expression in bone marrow mononuclear cells (BMMCs) from 10 newly d

SUBMITTER: Yu Y 

PROVIDER: S-EPMC12595623 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature