Evidence map›Paper›PMID 40411542›Full record

ArticleDiscover oncology2025

Potential associations between gut and skin microbiota and lung cancer: a bidirectional Mendelian randomization analysis.

Zishun Guo, Shifei Liu, Zhuozheng Hu, Xiaojie Pan, Wenxiong Zhang, Zhenlong Zhang

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In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Zishun Guo *Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.
Shifei Liu *Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.
Zhuozheng HuDepartment of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.
Xiaojie PanDepartment of Thoracic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, No. 134 East Street, Fuzhou, 350001, China.
Wenxiong ZhangDepartment of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.
Zhenlong ZhangDepartment of Thoracic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, No. 134 East Street, Fuzhou, 350001, China. 18350010901@163.com.

Funding

Natural Science Foundation of Fujian Province 2022J011000
6 · The paper itself

Abstract

backgroundRecent research has demonstrated that microbes have a vital impact on cancer by governing immune responses, managing inflammation, and employing other methods. However, the specific relationship between the microbiome and lung cancer requires further investigation to be fully understood.

methodsSummary data regarding lung cancer outcomes and skin bacteria were sourced from the GWAS and GWAS catalog databases, respectively. Data on gut microbiota were acquired from the MiBioGen database. Using these datasets, we performed Mendelian randomization (MR) and linkage disequilibrium score regression (LDSC) analysis to evaluate the genetic relationships and possible relationships between gut and skin microbiota and lung cancer.

resultsThe LDSC analysis indicated that Bifidobacteria have a negative genetic correlation with lung cancer across order, family, and genus levels. Similarly, the Eubacterium Coprostanoligenes group displayed a negative genetic correlation at the genus level. Mendelian randomization analysis of gut and skin microbiome data further identified several microbiotas positively associated with lung cancer risk, including Eubacterium brachy group, Coprobacter genus, Adlercreutzia, Flavonifractor, Holdemanella, Anaerotruncus, Erysipelatoclostridium, and ASV045 [Acinetobacter]. Conversely, microbiota such as Bacteroidetes (phylum), Eubacterium rectale group, Prevotella 9, Ruminococcus1, Lachnospiraceae NK4A136 group, Gordonibacter, Eubacterium hallii group, Streptococcus genus, and ASV009 [D. nitroreducens] demonstrated a protective effect against lung cancer. Notably, the Coprobacter genus exhibited contrasting associations with lung cancer subtypes. Reverse Mendelian randomization did not reveal any potential effects of lung cancer on these microbiota abundances. Heterogeneity and pleiotropy analyses confirmed the robustness and reliability of these findings.

conclusionOur Mendelian randomization analysis identified multiple microbial communities that may be associated with lung cancer risk, highlighting the complex interactions between the microbiota and lung cancer development, providing valuable insights and promising research directions for microbiota-targeted prevention and treatment strategies for lung cancer.

Indexed as

GutLung cancerMendelian randomizationMicrobiotaSkin

Identifiers

PMID40411542
PMCPMC12103405

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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.