Multi-omic analysis of the liver-breast axis reveals key hepatic mediators of breast cancer progression

Emerging evidence establishes hepatic dysfunction as a critical modulator of breast cancer (BC) progression through metabolic, endocrine, and inflammatory crosstalk, yet the molecular mediators remain incompletely characterized. This review systematically examines the liver-BC axis to identify mechanistic drivers and therapeutic opportunities for patients with comorbid conditions. We conducted an integrated analysis combining a comprehensive literature review with computational biology approaches, including protein-protein interaction network analysis, functional pathway enrichment (KEGG/GO), and multi-omics data mining from GEO, TCGA, and CPTAC databases, supplemented by experimental validations from preclinical models. Our analysis revealed hepatic dysfunction promotes BC progression through five interconnected pathways: insulin resistance-driven IGF1-PI3K/AKT activation, estrogen metabolism imbalance via CYP19A1/ESR1, IL6-STAT3/NLRP3-mediated inflammation, HMOX1/APOE-dependent metabolic rewiring, and FAK-Src/MMP9-regulated ECM remodeling. Key molecular mediators include nuclear receptors (ESR1), cytokines (IL-1β), growth factors (HGF), and receptor tyrosine kinases, with SPP1 and PTPN2 emerging as potential circulating biomarkers linking hepatic dysfunction to aggressive BC phenotypes. The crosstalk between hepatic dysfunction and BC is mediated by a network of proteins and pathways, offering potential targets for therapeutic intervention. Future research should focus on translational validation and personalized strategies for BC patients with comorbid liver conditions. This mechanistic insight may advance early diagnosis and precision treatment paradigms.

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Publication Details

Journal
Science China Life Sciences
Published
2026-03-11
DOI
https://doi.org/10.1007/s11427-025-3176-0
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
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article

Multi-omic analysis of the liver-breast axis reveals key hepatic mediators of breast cancer progression

Kumar Ganesan, Gao Yuanze, Fei Wang, Jianping Chen
Science China Life Sciences
Cancer, Hypoxia, and Metabolism
article

Multi-omic analysis of the liver-breast axis reveals key hepatic mediators of breast cancer progression

Kumar Ganesan, Gao Yuanze, Fei Wang, Jianping Chen
article en

Abstract

Emerging evidence establishes hepatic dysfunction as a critical modulator of breast cancer (BC) progression through metabolic, endocrine, and inflammatory crosstalk, yet the molecular mediators remain incompletely characterized. This review systematically examines the liver-BC axis to identify mechanistic drivers and therapeutic opportunities for patients with comorbid conditions. We conducted an integrated analysis combining a comprehensive literature review with computational biology approaches, including protein-protein interaction network analysis, functional pathway enrichment (KEGG/GO), and multi-omics data mining from GEO, TCGA, and CPTAC databases, supplemented by experimental validations from preclinical models. Our analysis revealed hepatic dysfunction promotes BC progression through five interconnected pathways: insulin resistance-driven IGF1-PI3K/AKT activation, estrogen metabolism imbalance via CYP19A1/ESR1, IL6-STAT3/NLRP3-mediated inflammation, HMOX1/APOE-dependent metabolic rewiring, and FAK-Src/MMP9-regulated ECM remodeling. Key molecular mediators include nuclear receptors (ESR1), cytokines (IL-1β), growth factors (HGF), and receptor tyrosine kinases, with SPP1 and PTPN2 emerging as potential circulating biomarkers linking hepatic dysfunction to aggressive BC phenotypes. The crosstalk between hepatic dysfunction and BC is mediated by a network of proteins and pathways, offering potential targets for therapeutic intervention. Future research should focus on translational validation and personalized strategies for BC patients with comorbid liver conditions. This mechanistic insight may advance early diagnosis and precision treatment paradigms.

Science China Life Sciences
Chinese University of Hong Kong (HK), Chengdu University of Traditional Chinese Medicine (CN), University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 20%
Cancer, Hypoxia, and Metabolism
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