ArticleCancers2023
Human Breast Tissue Microbiota Reveals Unique Microbial Signatures that Correlate with Prognostic Features in Adult Ethiopian Women with Breast Cancer.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Guideline for designing microbiome studies in neoplastic diseases.GeroScience · 2024Guideline
- Modulation of the response to immunotherapy in triple-negative breast cancer: the role of the microbiota and microbial metabolites in the tumor microenvironment.Gut microbes · 2026Review
- The Human Breast Microbiome: From Homeostasis to Malignancy, Mechanistic Insights and Therapeutic Perspectives.International journal of molecular sciences · 2026Review
- Intratumoral microbiota exhibiting varied responses to neoadjuvant chemotherapy in triple-negative breast cancer revealed by 2bRAD-M.Journal of translational medicine · 2026Article
- Review
- Comparative Analysis of Tumor Microbiota Identifies a Metastatic-Specific Bacterial Signature, HighlightingOncology research · 2026Article
- Dynamics of the intratumoural microbiome across malignant transformation and treatment in breast cancer.Clinical and translational medicine · 2025Article
- Microbial Signatures in Breast Cancer: Exploring New Potentials Across Body Niches.International journal of molecular sciences · 2025Review
- Microbial community profiles in breast cancer and normal adjacent tissues: associations with clinicopathological characteristics.Translational cancer research · 2025Article
- Characterization of intra-tumoral microbiota from transcriptomic sequencing of Asian breast cancer.Scientific reports · 2025Article
- Race-related host and microbe transcriptomic signatures in triple-negative breast cancer.NPJ breast cancer · 2025Article
- A Systematic Review and Meta-Analysis of 16S rRNA and Cancer Microbiome Atlas Datasets to Characterize Microbiota Signatures in Normal Breast, Mastitis, and Breast Cancer.Microorganisms · 2025Review
- Biological Basis of Breast Cancer-Related Disparities in Precision Oncology Era.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 3 countries.
Funding
Abstract
Breast cancer (BC) is the leading cause of cancer mortality among women in Ethiopia. Overall, women of African ancestry have the highest death toll due to BC compared to other racial/ethnic groups. The cause of the disparity in mortality is unclear. Recently, studies conducted in the United States and other high-income countries highlighted the role of microbial dysbiosis in BC initiation, tumor growth, and treatment outcome. However, the extent to which inter-individual differences in the makeup of microbiota are associated with clinical and histopathological outcomes in Ethiopian women has not been studied. The goal of our study was to profile the microbiome in breast tumor and normal adjacent to tumor (NAT) tissues of the same donor and to identify associations between microbial composition and abundance and clinicopathological factors in Ethiopian women with BC. We identified 14 microbiota genera in breast tumor tissues that were distinct from NAT tissues, of which
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Registered trials
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 Socratic graph.