ArticleMicrobiology spectrum2023
Intratumoral Microbiota-Host Interactions Shape the Variability of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma in Recurrence and Metastasis.
Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Intratumoral microbiota composition in women's cancers: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Review
- Integrative analysis of immune and microbial subtypes predicts immunotherapy response in stomach adenocarcinoma.Microbiology spectrum · 2026Article
- Intratumoral Microbiota in Lung Cancer: Emerging Roles in TME Modulation and Immunotherapy Response.International journal of molecular sciences · 2025Review
- Article
- Harnessing intratumoral microbiota: new horizons in immune microenvironment and immunotherapy.Journal of translational medicine · 2025Review
- Effectiveness of Artificial Intelligence Models in Predicting Lung Cancer Recurrence: A Gene Biomarker-Driven Review.Cancers · 2025Review
- [Research Progress on the Relationship between Intratumor Microbiota and Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Review
- Tumor microenvironment signatures enhances lung adenocarcinoma prognosis prediction: Implication of intratumoral microbiota.Microbial cell (Graz, Austria) · 2025Article
- Respiratory microbiome-host interaction on lung carcinogenesis, immunity, and immunotherapy.Frontiers in immunology · 2025Review
- Unravelling the prognostic and operative role of intratumoural microbiota in non-small cell lung cancer: Insights from 16S rRNA and RNA sequencing.Clinical and translational medicine · 2025Article
- Leveraging the intratumoral microbiota to treat human cancer: are engineered exosomes an effective strategy?Journal of translational medicine · 2024Review
- OVOL2 induces autophagy-mediated epithelial-mesenchymal transition by the ERK1/2 MAPK signaling in lung adenocarcinoma.iScience · 2024Article
- The characteristics of intratumoral microbial community reflect the development of lung adenocarcinoma.Frontiers in microbiology · 2024Article
- Pharmacomicrobiomics in precision cancer therapy: bench to bedside.Frontiers in immunology · 2024Review
- Comprehensive analysis of the pituitary tumor-transforming gene (PTTG) family in lung adenocarcinoma: diagnostic, prognostic, and therapeutic implications.American journal of translational research · 2024Article
- Leveraging circulating microbiome signatures to predict tumor immune microenvironment and prognosis of patients with non-small cell lung cancer.Journal of translational medicine · 2023Article
- Fine Particulate Matter Perturbs the Pulmonary Microbiota in Broiler Chickens.Animals : an open access journal from MDPI · 2023Article
- Pan-Cancer Integrative Analyses Reveal the Crosstalk Between the Intratumoral Microbiome, TP53 Mutation and Tumour Microenvironment.IET systems biologyArticle
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Differences in tissue microbiota-host interaction between lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) about recurrence and metastasis have not been well studied. In this study, we performed bioinformatics analyses to identify the genes and tissue microbes significantly associated with recurrence or metastasis. All lung cancer patients were divided into the recurrence or metastasis (RM) group and the nonrecurrence and nonmetastasis (non-RM) group according to whether or not they had recurred or metastasized within 3 years after the initial surgery. Results showed that there were significant differences between LUAD and LUSC in gene expression and microbial abundance associated with recurrence and metastasis. Compared with non-RM, the bacterial community of RM had a lower richness in LUSC. In LUSC, host genes significantly correlated with tissue microbe, whereas host-tissue microbe interaction in LUAD was rare. Then, we established a novel multimodal machine learning model based on genes and microbes to predict the recurrence and metastasis risk of a LUSC patient, which achieves an area under the curve (AUC) of 0.81. In addition, the predicted risk score was significantly associated with the patient's survival.
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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.