Evidence map›Paper›PMID 41244617›Full record

ArticleBreast care (Basel, Switzerland)2026

Microbial Biomarkers of Breast Tumor and Mastitis: Deciphering the Delicate Balance between Potentially "Evil" and "Benign" Alliances in Mammary Microbiomes.

Zhanshan Sam Ma

Abstract read
In one paragraph

Article in Breast care (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Zhanshan Sam MaMicrobiome Medicine and Advanced AI Technology, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer and mastitis significantly impact women's health and their infants' wellbeing. The advent of metagenomic sequencing technology has opened new avenues to explore the relationships between mammary microbiomes and these diseases. Despite recent extensive studies, detailed understanding of the mammary microbiome-disease relationships remains incomplete. Methods and Results: Here, we apply the Specificity and Specificity Diversity framework (Ma 2024, BMC Biology) to identify unique/enriched species (US/ES) associated with mastitis, breast cancer, or their healthy controls. The US/ES lists contain potential biomarkers and offer fresh insights into the intricacies of mastitis etiology and the relationship between breast tissue microbiomes and breast cancer. Conclusions: (i) The dynamic balance between coexisting alliances of beneficial microbes and harmful microbes (including opportunistic pathogens) holds key to understanding mastitis etiology. (ii) Intra-tumor microbes may serve multiple roles - as oncogenic microbes, neutral bystanders, or tumor suppressors, and their dynamic balance can influence breast cancer onset and progression. (iii) Significant challenges remain in developing effective probiotics, prebiotics and infant formulas due to complex entanglements between beneficial and harmful microbes. This complexity suggests that broad-spectrum or one-size-fits-all probiotic approaches may prove inadequate, pointing instead to the need for personalized prebiotic/probiotic/infant-formula solutions to restore and maintain healthy mammary microbiomes.

Indexed as

Breast cancerEnriched speciesMammary microbiomeMastitisSpecies specificitySpecificity diversityUnique species

Identifiers

PMID41244617
PMCPMC12618040

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.