Evidence map›Paper›PMID 39507044›Full record

ArticleTranslational lung cancer research2024

Microbiota modulate immune repertories in lung adenocarcinoma via microbiota-immunity interactive network.

Peng Liang, Qianxi Chen, Xiaoping Chen, Xiaolin Zhang, Yizhen Xiao, Guangni Liang, Ming Liu, Jianxing He, Wenhua Liang, Yufeng Liang and 1 more

Abstract read
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Article in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Peng Liang *Center for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.ORCID https://orcid.org/0000-0001-6636-5254
Qianxi Chen *Center for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.
Xiaoping ChenCenter for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.
Xiaolin ZhangCenter for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.
Yizhen XiaoDepartment of Pulmonary and Critical Care Medicine, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.
Guangni LiangDepartment of Thoracic Surgery, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.
Ming LiuCenter for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.
Jianxing HeDepartment 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.ORCID https://orcid.org/0000-0003-1737-8192
Wenhua LiangDepartment 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.ORCID https://orcid.org/0000-0002-1391-8238
Yufeng LiangDepartment of Pulmonary and Critical Care Medicine, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.
Bo ChenDepartment of Thoracic Surgery, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While the resident microbiome of tumors has been shown to be associated with the occurrence and progression of non-small cell lung cancer, there remains a significant knowledge gap in understanding the correlation between the microbial spectrum and immunity response to cancer therapy. In the case of lung adenocarcinoma (LUAD), the tumor microenvironment, encompassing a diverse array of microbes and immune cells, plays a crucial role in modulating therapeutic response. Towards comprehending the underlying mechanism, we present the microbe-immunity interactive networks to delineate the microbiota and immunity repertoires for two distinct molecular subtypes in LUAD. Methods: We obtained multi-omics data of LUAD patients from the publicly available database. In this study, we conducted a systematic exploration of the microbial and immunological etiology of cancer prognosis, by integrating the microbiome, genome, transcriptome, and clinic data. The mutational signature analysis, transcriptome analysis, gene set enrichment analysis, and microbiota-immunity network analysis were performed. Results: Based on the transcriptome repertories, we classified the patients into two molecular subtypes and observed that the overall survival of molecular subtype 2 (MS2) was notably shortened. We identified the microbial biomarkers in patients that distinguished between these molecular subtypes. The significant up-regulation of γδT and neutrophil in MS2, suggesting the inflammation augmentation and stimulation of γδT activation. What is more, the MS2 are characterized by a correlation network between microbiota biomarkers and γδT cell, which may contribute to suppression of anti-tumor immunity and poor overall survival. Conclusions: Our findings not only display the repertoires of tumor microbiota and immune cells, but also elucidate the potential contribution of the microbiota-immunity correlation network to unfavorable overall survival and therapeutic resistance, thereby exerting profound implications on future LUAD therapy.

Indexed as

intratumor microbiotaLung cancermolecular subtypeneutrophilγδT

Identifiers

PMID39507044
PMCPMC11535827

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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.