Evidence map›Paper›PMID 38090530›Full record

ArticleTranslational lung cancer research2023

Microbiota modulate lung squamous cell carcinoma lymph node metastasis through microbiota-geneset correlation network.

Peng Liang, Hongsheng Deng, Yi Zhao, Ying Chen, Jingna Zhang, Jianxing He, Wenhua Liang

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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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Peng Liang *Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Hongsheng Deng *Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Yi Zhao *Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Ying ChenDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Jingna ZhangDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Jianxing He *Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Wenhua Liang *Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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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Bacteroidesenergy metabolismLung cancerProteustumor development

Identifiers

PMID38090530
PMCPMC10713265

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