Evidence map›Paper›PMID 38765682›Full record

ArticleFrontiers in microbiology2024

Immune cells mediated the causal relationship between the gut microbiota and lung cancer: a Mendelian randomization study.

Zhiting Chen, Zhe Wang, Hao Ma, Hejing Bao, Ting Jiang, Ting Yang, Shudong Ma

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. The role of theFrontiers in microbiology · 2026
    Review
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  10. Dysbiosis and extraintestinal cancers.Journal of experimental & clinical cancer research : CR · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhiting Chen *Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhe Wang *Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hao Ma *Department of Obstetrics and Gynecology, Shijing People's Hospital, Guangzhou, China.
Hejing BaoDepartment of Oncology, Panyu Central Hospital, Guangzhou, China.
Ting JiangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ting YangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shudong MaDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The gut microbiota (GM) influences the occurrence and progression of lung cancer (LC), with potential involvement of immune cells (IC). We aimed to investigate the causal impact of GM on LC and identify potential immune cell mediators. Methods: The utilized data for the Genome-Wide Association Studies (GWAS) were summarized as follows: gut microbiota data from the Dutch Microbiome Project (DMP) ( Results: Bi-directional UVMR analysis revealed that 24 gut microbiota species can affect LC, while LC can affect the abundance of 17 gut microbiota species. Mediation analysis demonstrated that six immune cells mediated the causal relationships of seven gut microbiota species on LC: "CCR7 on naive CD8+ T cell" mediated the causal relationship between s_Alistipes_putredinis and LUAD, with a mediation proportion of 9.5% and Conclusion: This Mendelian randomization study identified several specific gut microbiotas that exhibit causal relationships with lung cancer and potentially mediate immune cells.

Indexed as

gut-lung axisgut microbiotaimmune celllung cancerMendelian randomization

Identifiers

PMID38765682
PMCPMC11099228

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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.