Evidence map›Paper›PMID 42548731›Full record

SynthesisFrontiers in microbiology2026

The composition alteration of gut microbiota in lung cancer: a systematic review and meta-analysis.

Xiaona Xu, Ting Yu, Hongying Wu, Yang Guo, Meng Li, Yaozu Han, Lei Zhao, Xinjuan Yu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Xiaona Xu *Central Laboratory, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Ting Yu *Central Laboratory, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Hongying Wu *Qingdao Traditional Chinese Medicine Hospital, Qingdao Hiser Hospital Affiliated of Qingdao University, Qingdao, China.
Yang GuoSchool of Medical Laboratory, Shandong Second Medical University, Weifang, China.
Meng LiQingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Yaozu HanClinical Research Center, Qingdao Key Laboratory of Common Diseases, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Lei ZhaoHuman Resources Department, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Xinjuan YuClinical Research Center, Qingdao Key Laboratory of Common Diseases, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between the gut microbiota and lung cancer remains understudied. In this study, we conducted a comprehensive systematic review and meta-analysis to quantitatively synthesize evidence from multiple cohorts to identify robust and consistent alterations in gut microbial diversity and taxonomy associated with lung cancer. Methods: A systematic literature search was performed across PubMed, Cochrane Library, Embase, and Web of Science databases up to June 5, 2025. The analysis summarized key microbiota characteristics from the selected studies, including alpha diversity, beta diversity, and relative taxonomic abundance. This meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Results: Our systematic search identified 12,810 articles, out of which 27 studies comprising 2,263 individuals, involving 1,234 lung cancer patients and 1,029 non-cancer controls, were included for qualitative synthesis. Meta-analysis revealed a significant reduction in microbial alpha diversity of 25 studies in lung cancer patients. Significant decreases were indicated in the ACE index (SMD = -0.64, 95% CI: -1.14 to -0.13), Chao1 index (SMD = -0.31, 95% CI: -0.60 to -0.02), and Shannon index (SMD = -0.25, 95% CI: -0.57 to 0.08). Chinese cohorts showed significantly lower Chao1and Shannon by subgroup analysis. Twenty-seven studies assessed beta diversity, in which 20 studies (74.0%) reported a significant difference in overall microbial community structure between lung cancer patients and non-cancer controls. Quantitative meta-analysis by forest plot revealed, compared to non-cancer controls, lung cancer patients exhibited decreased relative abundances of phylum Firmicutes (SMD = -0.47, 95% CI: -0.91 to -0.02), and increased abundances of phylum Bacteroidetes (SMD = 0.53, 95% CI: 0.24 to 0.82). Furthermore, we observed a marked depletion of beneficial short-chain fatty acid producers of genus Conclusion: This meta-analysis demonstrates that lung cancer is consistently associated with gut microbiota dysbiosis characterized by reduced microbial diversity and reproducible taxonomic alterations. Clinically, these findings suggest that gut microbiota may serve as non-invasive biomarkers for lung cancer detection and patient stratification, and may also help predict immunotherapy response and inform future microbiota-targeted therapeutic strategies. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024537463, CRD42024537463.

Indexed as

dysbiosisgut microbiotalung cancermeta-analysismetagenomesystematic review

Identifiers

PMID42548731
PMCPMC13429741

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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.