ArticleTranslational lung cancer research2023
Microbiota modulate lung squamous cell carcinoma lymph node metastasis through microbiota-geneset correlation network.
Article in Translational lung cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Microbial Influence on Immune Checkpoint Inhibitor Therapy in Non-Small Cell Carcinoma: The Gut-Lung-Immune Axis.Cancers · 2026Review
- Intratumoral microbiota and metabolites: dual roles in cancer progression and therapeutic opportunities.Cell communication and signaling : CCS · 2026Review
- The intratumoral microbiome: a review of the tumor microenvironment's fourth axis shaping anti-tumor immunity, cancer prognosis, and therapeutic response.Frontiers in immunology · 2026Review
- The emerging role of microbiota in lung cancer: a new perspective on lung cancer development and treatment.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- Tumor microbiome: roles in tumor initiation, progression, and therapy.Molecular biomedicine · 2025Review
- Worldwide Research Trends on Lung Cancer and Microbiota: A Bibliometric and Visualized Analysis.Journal of multidisciplinary healthcare · 2025Review
- A potential association between the characteristics of the multi-organ microbiota and lymph node metastasis in cervical cancer.Frontiers in cellular and infection microbiology · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
Background: The tumor-resident microbiota in lung squamous cell carcinoma (LUSC) has been reported to be associated with the initiation and progression of cancer. And the gut microbiome can modulate the efficacy of immunotherapies. However, it remains to be understood whether the tumor-resident microbiome promotes lymph node (LN) metastasis, which is important for clinical decision-making and prediction of a patient's prognosis. To investigate the potential role of tumor-resident microbiota in LN metastasis, we worked on the microbiota-geneset interaction profiles to characterize the molecular pathogenesis. Methods: RNA sequencing data and their matched clinical and genomic information were obtained from The Cancer Genome Atlas database. The matched microorganism quantification data were accessed via the cBioPortal database. The mutational signature analysis, transcriptome analysis, gene set enrichment analysis, immune infiltration, and microbiota-geneset network analysis were performed. Results: In this paper, we identified the tumor microbiota composition and microbial biomarkers in patients with and without LN metastases. In addition, significantly upregulated gene sets characterize the transcript profiles of patients with LN metastases, for example, Myc Targets, E2F Targets, G2M Checkpoint, Mitotic Spindle, DNA Repair, and Oxidative Phosphorylation. Finally, we found that Conclusions: We found the associations between intratumor microbiota and transcripts. Our results shed light on the correlation network of
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