ArticlePhysiological reports2025
Interactions among tumor subtype, PPARγ expression, and adipose proliferation shape outcomes in breast cancer.
Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Associations Between Metabolic Score for Visceral Fat and Venous Thromboembolism Among 118 619 Participants With Metabolic Syndrome: Insights From Epidemiology to Genetic Susceptibility.Journal of the American Heart Association · 2026Article
- TELO2 mediates parabens-induced breast carcinogenesis: a comprehensive network analysis.BMC pharmacology & toxicology · 2025Article
- Interactions among tumor subtype, PPARγ expression, and adipose proliferation shape outcomes in breast cancer.Physiological reports · 2025Article
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6 authors.
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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-6888 trial, focusing on standardized uptake value (SUV) metrics of a cell cycle tracer, 3'-deoxy-3'-[18F]-fluorothymidine (
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