Evidence map›Paper›PMID 41390654›Full record

ArticleJournal of translational medicine2025

Metagenomic analyses reveal E. coli-derived siderophores as potential signatures for breast cancer.

Haseeb Manzoor, Ishrat Jabeen, Muhammad Tariq Saeed, Masood Ur Rehman Kayani, Lisu Huang

Abstract read
In one paragraph

Article in Journal of translational medicine, 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

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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

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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. The Role of Selected Bacteria in Breast Cancer Initiation and Development.International journal of molecular sciences · 2026
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4 · The record

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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

5 authors.

Haseeb ManzoorDepartment of Infectious Disease, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China.
Ishrat JabeenSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology (NUST), Sector H-12, Islamabad, 44000, Pakistan.
Muhammad Tariq SaeedSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology (NUST), Sector H-12, Islamabad, 44000, Pakistan.
Masood Ur Rehman KayaniMetagenomics Discovery Lab, School of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology (NUST), Sector H-12, Islamabad, 44000, Pakistan. masood.kayani@ymail.com.ORCID 0000-0002-7425-1756
Lisu HuangDepartment of Infectious Disease, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China. lisuhuang@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer remains a leading cause of cancer-related mortality in women. Recent evidence implicates the gut microbiome and metabolites in breast cancer pathogenesis. This study explores associations between gut microbial species, their predicted metabolites, and breast cancer to uncover potential mechanistic insights.

methodsComprehensive metagenomic analyses were conducted on the gut microbiome of pre- and postmenopausal breast cancer patients, where microbial species were profiled through AMPHORA2 and metabolites were predicted through antiSMASH. Multivariate association analysis was used to identify significant associations between specific microbial species, predicted metabolites, and breast cancer status. A custom ensemble machine learning classifier was developed to classify pre- and postmenopausal breast cancer cases and controls based on microbial and predicted metabolite features. Additionally, a synthetic microbiome dataset was generated through MIDASim to validate the reproducibility of the ML results. Using our results, we explored the underlying dynamics of identified taxa and metabolite in breast cancer through literature and statistical support.

resultsOur analysis identified 471 microbial species and predicted 40 key metabolites in the metagenomic data. Multivariate analysis identified significant positive associations (p-value < 0.05) of E. coli, siderophore, and thiopeptide with breast cancer. The custom ensemble model achieved accuracy and AUC as high as 78% and 90%, respectively, in classifying pre- and postmenopausal cases and controls. The high-ranking features i.e., E. coli, siderophore, and thiopeptide were consistent with the results of the multivariate association analysis, thereby substantiating their biological significance. Using these findings, we propose a mechanistic model in which E. coli secretes siderophores under iron-limited conditions in breast cancer patients, for iron sequestration from the host, which can potentially promote angiogenesis and tumor progression.

conclusionOur findings suggest that microbial iron acquisition mechanisms may play a critical role in breast cancer pathophysiology. Functional validation of these mechanisms is needed to assess therapeutic potential. This study highlights gut microbiota and their metabolites as promising targets for breast cancer research and intervention.

Indexed as

Breast NeoplasmsEscherichia coliMetagenomicsSiderophoresFemaleGastrointestinal MicrobiomeHumansMultivariate AnalysisSiderophoresAnticancer properties, E. coliBiosynthetic gene clustersBreast cancerGut microbiomeMachine learningSecondary metabolitesSiderophoreThiopeptide

Identifiers

PMID41390654
PMCPMC12817542

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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.