ArticleCancers2023
The Role of Intratumor Microbiomes in Cervical Cancer Metastasis.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Exploring Cervical Cancer-Associated Vaginal and Cervical Microbiota via 16S rRNA Sequencing.MicrobiologyOpen · 2026Article
- Analysis of intratumoural bacteria: Opportunities and challenges for cancer therapy.Acta pharmaceutica Sinica. B · 2026Review
- Research on microbial communities in tumor microenvironments: cutting-edge dynamics and future trends from a bibliometric perspective.Frontiers in immunology · 2026Review
- Tumor-resident microbiota in gynecologic malignancies: Molecular mechanisms, clinical correlations, and translational potential.iScience · 2025Review
- Gynecological Cancer Oncobiome Systematic Review.Cancers · 2025Review
- Advancements in understanding tumor-resident bacteria and their application in cancer therapy.Military Medical Research · 2025Review
- Targeting ferroptosis for precision medicine in cervical cancer.Apoptosis : an international journal on programmed cell death · 2025Review
- Individuality and generality of intratumoral microbiome in the three most prevalent gynecological malignancies: an observational study.Microbiology spectrum · 2024Observational
- Intratumoral Microbiome: Foe or Friend in Reshaping the Tumor Microenvironment Landscape?Cells · 2024Review
- Diagnostic and prognostic potential of the intra-tumoral microbiota profile in HPV-independent endocervical adenocarcinoma.Frontiers in cellular and infection microbiology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIntratumor microbiomes can influence tumorigenesis and progression. The relationship between intratumor microbiomes and cervical cancer metastasis, however, remains unclear.
methodsWe examined 294 cervical cancer samples together with information on microbial expression, identified metastasis-associated microbiomes, and used machine learning methods to validate their predictive ability on tumor metastasis. The tumors were subsequently typed based on differences in microbial expression. Differentially expressed genes in different tumor types were combined to construct a tumor-prognostic risk score model and a multiparameter nomogram model. In addition, we performed a functional enrichment analysis of differentially expressed genes to infer the mechanism of action between microbiomes and tumor cells.
resultsBased on the 15 differentially expressed microbiomes, machine learning models were able to correctly predict the risk of cervical cancer metastasis. In addition, both the risk score and the nomogram model accurately predicted tumor prognosis. Differences in the expression of endogenous genes in tumors can influence the distribution of the intracellular microbiomes.
conclusionsIntratumoral microbiomes in cervical cancer are associated with tumor metastasis and influence disease prognosis. A change in gene expression within tumor cells is responsible for differences in the microbial populations within the tumor.
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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 OpenQuestion graph.