Interactions among tumor subtype, PPARγ expression, and adipose proliferation shape outcomes in breast cancer.

ABSTRACT: Breast cancer progression is influenced by tumor subtype, metabolic environment, and patient factors, including menopausal status and BMI. In this study, we utilized publicly available data to investigate the prognostic relevance of PPARγ gene's expression across different subgroups. We also examined adipose tissue proliferation in patients with various tumor subtypes and phenotypic cohorts. We analyzed RNA-seq data from primary breast cancer patients in the TCGA-BRCA cohort, stratifying patients by PPARγ expression, menopausal status, and tumor receptor subtype. Kaplan-Meier analyses revealed that high PPARγ expression was associated with improved overall survival, particularly in premenopausal patients. Complementing this, we analyzed PET-CT scans from breast cancer patients in the ACRIN

SUBMITTER: Shah A 

PROVIDER: S-EPMC12617248 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature