Evidence map›Paper›PMID 42222391›Full record

ArticleFrontiers in oncology2026

Dynamic changes and clinical significance of the gut microbiota and serum metabolites in breast cancer onset, progression and chemotherapy intervention.

Shuyun Jiang, Zhanwei Du, Yufei Wang, Hongwei Ma, Zhijun Ma, Xiaowang Wang

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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Shuyun JiangCollege of Clinical Medicine, Qinghai University, Xining, Qinghai, China.
Zhanwei DuCollege of Clinical Medicine, Qinghai University, Xining, Qinghai, China.
Yufei WangDepartment of Surgical Oncology, The Affiliated Hospital of Qinghai University, Xining, Qinghai, China.
Hongwei MaCollege of Clinical Medicine, Qinghai University, Xining, Qinghai, China.
Zhijun MaDepartment of Surgical Oncology, The Affiliated Hospital of Qinghai University, Xining, Qinghai, China.
Xiaowang WangDepartment of Surgical Oncology, The Affiliated Hospital of Qinghai University, Xining, Qinghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Alterations of the gut microbiota and host metabolic reprogramming are closely associated with the development of breast cancer and the treatment response; however, integrated studies of the gut microbiota and metabolome spanning the transition from benign breast disease (BBD) to malignancy and the postchemotherapy phase remain limited. This study aims to systematically characterize the dynamic changes in the "gut microbiota-serum metabolome-breast tumor" axis from benign breast disease (BBD) to breast cancer (BC) and postchemotherapy breast cancer (PCBC) and to evaluate its potential value in diagnosis and disease monitoring. Methods: We enrolled 295 female participants, who were divided into a BBD group (n = 83), a BC group (n = 100), and a PCBC group (n = 88), and included 24 paired fecal samples from the same patients that were collected before and after chemotherapy. Fecal samples underwent 16S ribosomal RNA (rRNA) sequencing, while serum samples underwent an liquid chromatography-high-resolution mass spectrometry (LC-MS/MS) based nontargeted metabolomic analysis; we compared differences in gut microbiota diversity, taxonomic composition, and functional predictions across groups and screened for differentially abundant metabolites and enriched metabolic pathways. In a subset of patients with paired multiomics data (BBD n=19, BC n=31, and PCBC n=34), Spearman's correlation analysis, multiomics principle component analysis (PCA)/partial least squares-discriminant analysis (PLS-DA), and random forest models were employed to integrate the microbiota and metabolic features. Results: Cross-sectional remodeling of the gut microbiome structure occurred. The α diversity of the gut microbiota was similar across the three groups (BBD, BC, and PCBC); however, the β diversity analysis based on the weighted UniFrac distance revealed the significant separation of the microbial community structure among the three groups. At the taxonomic level, the BBD group was significantly enriched with beneficial commensal bacteria that produce short-chain fatty acids (e.g., Conclusions: This study integrates gut microbiome and serum metabolomic data to reveal that during the progression of benign breast lesions to breast cancer and throughout chemotherapy, the "gut microbiota-host metabolism-breast tumor" axis transforms from a state characterized by commensal depletion, the expansion of opportunistic pathogens, and reprogramming of energy/lipid metabolism to a persistent metabolic signature associated with drug metabolism and the activation of oxidative stress pathways. The integrated multiomics model helps characterize the biological differences across various stages of breast disease. The identified characteristic bacterial genera and metabolite combinations provide preliminary theoretical clues for the future exploration of microbiome-related mechanisms in breast cancer and for auxiliary assessments.

Indexed as

breast cancergut microbiotamulti-omics integrationserum metabolomicsuntargeted metabolomics

Identifiers

PMID42222391
PMCPMC13215807

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