ArticleFrontiers in immunology2023
Integrating bulk and single-cell RNA sequencing data reveals the relationship between intratumor microbiome signature and host metabolic heterogeneity in breast cancer.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guideline for designing microbiome studies in neoplastic diseases.GeroScience · 2024Guideline
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- Navigating multi-omic integration methods for human microbiome research.Nature microbiology · 2026Review
- The trends and hotspots of gut microbiota for breast cancer from 2005 to 2024: A bibliometric and visual analysis.Medicine · 2026Review
- The Immune Cell Atlas of "Longevity Molecular Tag": Identification of Principal Immune Cell Subsets and Their Underlying Molecular Regulatory Mechanisms.Aging cell · 2026Article
- Intratumoral microbiota and metabolites: dual roles in cancer progression and therapeutic opportunities.Cell communication and signaling : CCS · 2026Review
- The human microbiome reshapes the breast cancer immune-metabolic-hormonal microenvironment.Frontiers in immunology · 2026Review
- Intratumoral Microbiome-Tumor Microenvironment Crosstalk in Breast Cancer Aggressiveness.The breast journal · 2026Review
- The intratumoral microbiome in breast cancer: an actionable component of the tumor immune microenvironment.Frontiers in immunology · 2026Review
- The intratumoral microbiota in breast cancer: from basic research to clinical translation.Gut microbes · 2025Review
- Intratumoral microbial heterogeneity in HCC reveals a potential therapeutic target.JHEP reports : innovation in hepatology · 2025Article
- Integrated multi-omic analysis unravels the characteristics of the metabolism-related intratumoral microbes and establishes a novel signature for predicting prognosis and therapeutic response in lung adenocarcinoma.Translational cancer research · 2025Article
- Comprehensive analysis of microbial content in whole-genome sequencing samples from The Cancer Genome Atlas project.Science translational medicine · 2025Article
- Advancements in understanding tumor-resident bacteria and their application in cancer therapy.Military Medical Research · 2025Review
- Neutrophil-Camouflaged Stealth Liposomes for Photothermal-Induced Tumor Immunotherapy Through Intratumoral Bacterial Activation.Pharmaceutics · 2025Article
- Reprogramming the breast tumor immune microenvironment: cold-to-hot transition for enhanced immunotherapy.Journal of experimental & clinical cancer research : CR · 2025Review
- Decoding the Tumor-Associated Microbiota: From Origins to Nanomedicine Applications in Cancer Therapy.Biology · 2025Review
- Crosstalk between metabolic reprogramming and microbiota: implications for cancer progression and novel therapeutic opportunities.Frontiers in immunology · 2025Review
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Nowadays, it has been recognized that gut microbiome can indirectly modulate cancer susceptibility or progression. However, whether intratumor microbes are parasitic, symbiotic, or merely bystanders in breast cancer is not fully understood. Microbial metabolite plays a pivotal role in the interaction of host and microbe via regulating mitochondrial and other metabolic pathways. And the relationship between tumor-resident microbiota and cancer metabolism remains an open question. Methods: 1085 breast cancer patients with normalized intratumor microbial abundance data and 32 single-cell RNA sequencing samples were retrieved from public datasets. We used the gene set variation analysis to evaluate the various metabolic activities of breast cancer samples. Furthermore, we applied Scissor method to identify microbe-associated cell subpopulations from single-cell data. Then, we conducted comprehensive bioinformatic analyses to explore the association between host and microbe in breast cancer. Results: Here, we found that the metabolic status of breast cancer cells was highly plastic, and some microbial genera were significantly correlated with cancer metabolic activity. We identified two distinct clusters based on microbial abundance and tumor metabolism data. And dysregulation of the metabolic pathway was observed among different cell types. Metabolism-related microbial scores were calculated to predict overall survival in patients with breast cancer. Furthermore, the microbial abundance of the specific genus was associated with gene mutation due to possible microbe-mediated mutagenesis. The infiltrating immune cell compositions, including regulatory T cells and activated NK cells, were significantly associated with the metabolism-related intratumor microbes, as indicated in the Mantel test analysis. Moreover, the mammary metabolism-related microbes were related to T cell exclusion and response to immunotherapy. Conclusions: Overall, the exploratory study shed light on the potential role of the metabolism-related microbiome in breast cancer patients. And the novel treatment will be realized by further investigating the metabolic disturbance in host and intratumor microbial cells.
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