Gut microbial and functional signatures in breast cancer: an integrated metagenomic and machine learning approach to non-invasive detection

Coordinated gut microbiome, phageome, and metabolome alterations characterize breast cancer, offering potential non-invasive biomarkers and mechanistic insights for disease detection and intervention.

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Publication Details

Journal
Frontiers in Microbiology
Published
2026-01-15
DOI
https://doi.org/10.3389/fmicb.2025.1722632
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00
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article

Gut microbial and functional signatures in breast cancer: an integrated metagenomic and machine learning approach to non-invasive detection

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Gut microbial and functional signatures in breast cancer: an integrated metagenomic and machine learning approach to non-invasive detection

Lai‐Yu Kwok, W. J. Liu, ZhiHui Cai, Jingjin Li, Zhihong Sun, Suriguga, Teng Ma, Yi Cheng, Shiqi Li
article en

Abstract

Coordinated gut microbiome, phageome, and metabolome alterations characterize breast cancer, offering potential non-invasive biomarkers and mechanistic insights for disease detection and intervention.

Frontiers in MicrobiologyVol. 16
Inner Mongolia Agricultural University (CN), Inner Mongolia University of Science and Technology (CN), Povolzhsky Research Institute of Production and Processing of Meat and Dairy Products (RU), Dairy Management (US)
Openalex Percentile: Top 87%
Gut microbiota and health
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