ArticleFrontiers in microbiology2022
Bacterial biomarkers capable of identifying recurrence or metastasis carry disease severity information for lung cancer.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
- Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.Discover oncology · 2026Article
- USP33 Promotes Lung Adenocarcinoma Brain Metastasis by Inhibiting the K48-Linked Ubiquitination and Degradation of S100A9 and Facilitating Vimentin Secretion.International journal of biological sciences · 2026Article
- Pharmacological targets and mechanism of baicalein in treating breast cancer: a study based on network pharmacology, molecular docking, and bioinformatics analysis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- 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
- Amplified TPM1 suppresses non-small cell lung cancer cells proliferation and metastasis.Discover oncology · 2025Article
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- The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 2025Review
- Decoding the Tumor-Associated Microbiota: From Origins to Nanomedicine Applications in Cancer Therapy.Biology · 2025Review
- Oral microbial signatures underlying recurrence via PI3K/AKT/mTOR pathway modulation in oral squamous cell carcinoma.Journal of oral microbiology · 2025Article
- Tumor microenvironment signatures enhances lung adenocarcinoma prognosis prediction: Implication of intratumoral microbiota.Microbial cell (Graz, Austria) · 2025Article
- Review
- Impact of Equine Ocular Surface Squamous Neoplasia on Interactions between Ocular Transcriptome and Microbiome.Veterinary sciences · 2024Article
- Multi-omics analysis elucidates the relationship between intratumor microbiome and host immune heterogeneity in breast cancer.Microbiology spectrum · 2024Article
- Correlation between the gut microbiome and neurodegenerative diseases: a review of metagenomics evidence.Neural regeneration research · 2024Review
- Effects of different KRAS mutants and Ki67 expression on diagnosis and prognosis in lung adenocarcinoma.Scientific reports · 2024Article
- Predictable regulation of survival by intratumoral microbe-immune crosstalk in patients with lung adenocarcinoma.Microbial cell (Graz, Austria) · 2024Article
- The characteristics of intratumoral microbial community reflect the development of lung adenocarcinoma.Frontiers in microbiology · 2024Article
- Recurrence prediction of lung adenocarcinoma using an immune gene expression and clinical data trained and validated support vector machine classifier.Translational lung cancer research · 2023Article
- Liquid Biopsy in Lung Cancer: Biomarkers for the Management of Recurrence and Metastasis.International journal of molecular sciences · 2023Review
- Integrating bulk and single-cell RNA sequencing data reveals the relationship between intratumor microbiome signature and host metabolic heterogeneity in breast cancer.Frontiers in immunology · 2023Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Local recurrence and distant metastasis are the main causes of death in patients with lung cancer. Multiple studies have described the recurrence or metastasis of lung cancer at the genetic level. However, association between the microbiome of lung cancer tissue and recurrence or metastasis remains to be discovered. Here, we aimed to identify the bacterial biomarkers capable of distinguishing patients with lung cancer from recurrence or metastasis, and how it related to the severity of patients with lung cancer. Methods: We applied microbiome pipeline to bacterial communities of 134 non-recurrence and non-metastasis (non-RM) and 174 recurrence or metastasis (RM) samples downloaded from The Cancer Genome Atlas (TCGA). Co-occurrence network was built to explore the bacterial interactions in lung cancer tissue of RM and non-RM. Finally, the Kaplan-Meier survival analysis was used to evaluate the association between bacterial biomarkers and patient survival. Results: Compared with non-RM, the bacterial community of RM had lower richness and higher Bray-Curtis dissimilarity index. Interestingly, the co-occurrence network of non-RM was more complex than RM. The top 500 genera in relative abundance obtained an area under the curve (AUC) of 0.72 when discriminating between RM and non-RM. There were significant differences in the relative abundances of Conclusion: This study provides the first evidence for the prediction of lung cancer recurrence or metastasis by bacteria in lung cancer tissue. Our results highlights that bacterial biomarkers that distinguish RM and non-RM are also associated with patient survival and disease severity.
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