Evidence map›Paper›PMID 41623622›Full record

ArticleFrontiers in microbiology2025

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

Yalin Li, Yi Cheng, Weichi Liu, Jingjin Li, Shiqi Li, Suriguga, Teng Ma, Lai-Yu Kwok, Zhihui Cai, Zhihong Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Medicina (Kaunas, Lithuania) · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yalin Li *Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Yi Cheng *Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Weichi LiuInner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Jingjin LiInner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Shiqi LiGraduate School of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
SurigugaGraduate School of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Teng MaInner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Lai-Yu KwokInner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Zhihui CaiDepartment of Oncology, Inner Mongolia People's Hospital, Hohhot, Inner Mongolia, China.
Zhihong SunInner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer is associated with significant restructuring of the gut ecosystem. Gut microbial composition and function may influence cancer development and progression through immune modulation, metabolic regulation, and inflammation-related pathways. Methods: Using shotgun metagenomic sequencing of fecal samples from 38 stage I-III breast cancer patients and 36 age- and body mass index-matched healthy controls. Machine learning models were constructed to evaluate the diagnostic potential of integrated microbial and metabolic features. Results: Significant alterations were observed in gut microbiota composition, including depletion of beneficial taxa ( Discussion: Coordinated gut microbiome, phageome, and metabolome alterations characterize breast cancer, offering potential non-invasive biomarkers and mechanistic insights for disease detection and intervention.

Indexed as

case-control studydiagnostic biomarkerdysbiosisgut viromemicrobiome-host interactionspredictive modelingshotgun metagenomics

Identifiers

PMID41623622
PMCPMC12853649

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.