Evidence map›Paper›PMID 41458603›Full record

ReviewFrontiers in oncology2025

The gut microbiome as a potential predictive biomarker for breast cancer: emerging association and geographic differences.

Byeongsang Oh, Gillian Lamoury, Susan Carroll, Marita Morgia, Frances Boyle, Nick Pavlakis, Stephen Clarke, Alexander Guminski, Alexander Menzies, Connie Diakos and 5 more

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

15 authors.

Byeongsang OhNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Gillian LamouryNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Susan CarrollNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Marita MorgiaNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Frances BoyleThe Mater Hospital, North Sydney, NSW, Australia.
Nick PavlakisNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Stephen ClarkeFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Alexander GuminskiNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Alexander MenziesNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Connie DiakosNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Katrina MooreNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Sally Baron-HayFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Thomas EadeNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.
Mark MolloyFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Michael BackNorthern Sydney Cancer Center, Royal North Shore Hospital, St Leonards, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The gut microbiome may influence breast cancer (BC) development by modulating estrogen metabolism, immune responses, and microbial metabolites. Altered microbial patterns have been reported in BC, but their value as predictive biomarkers remains uncertain. Methods: We reviewed 13 case-control studies that compared gut microbiome composition in women with and without BC, focusing on diversity, compositional shifts, and geographic variation. Results: Reduced microbial richness ( Conclusions: Despite heterogeneity, converging evidence supports reduced diversity and shifts in select taxa, particularly enrichment of

Indexed as

breast cancerestrogen metabolismgeographical variationgut microbiomeprecision oncologypredictive biomarker

Identifiers

PMID41458603
PMCPMC12740758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.