Evidence map›Paper›PMID 40251662›Full record

ArticleInfectious agents and cancer2025

Novel insights into immune-gut microbiota interactions in colorectal cancer: a Mendelian randomization study.

Zenghui Liu, Xiaohui Zhou, Lu Kuang, Qijun Chen, Jiaxing Zhao, Huayu Yin, Zeyu Zhou, Xuehui Liu, Dabin Liu, Shaoguo Wu and 1 more

Abstract read
In one paragraph

Article in Infectious agents and cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

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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

11 authors.

Zenghui LiuDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiaohui ZhouDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Lu KuangDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Qijun ChenDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jiaxing ZhaoDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Huayu YinDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Zeyu ZhouDepartment of Clinical Laboratory, The Affiliated Hospital of Chengde Medical College, Cengde,, Hebei,, China.
Xuehui LiuDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Dabin LiuDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Shaoguo Wu *Department of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China. wsg0930@163.com.
Limei Wu *Department of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China. oldrabbit2007@163.com.

Funding

Guangzhou Municipal Health Commission 20231A010042the Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515010453the Science and Technology Program of Guangzhou City 2023A03J0976
6 · The paper itself

Abstract

backgroundThe relationship between immune cells and colorectal cancer (CRC) development has been extensively studied; however, the mediating role of gut microbiota in this relationship remains poorly understood.

methodsWe utilized summary data from genome-wide association studies (GWAS) to analyze 731 immune cell phenotypes, 473 gut microbiota, and CRC-related data. A two-step mediation analysis was employed to identify mediating gut microbiota. The primary analysis method was inverse variance weighting (IVW), supplemented by MR-Egger, simple mode, weighted median, and weighted mode analyses. Robustness of the results was ensured through systematic sensitivity analyses.

resultsOur analysis identified 13 immune cell phenotypes significantly associated with CRC, including 10 protective factors and 3 risk factors. Additionally, 13 gut microbiota showed significant associations with CRC, comprising 8 protective factors and 5 risk factors. Mediation analysis revealed that 4-gut microbiota (1 order, 1 family, 1 genus, and 1 unclassified) mediated the relationship between immune cells and CRC. For instance, unclassified CAG - 977 mediated the effects of FSC-A on NK and NKT %lymphocyte on CRC risk, with mediation proportions of 11% and 12.3%, respectively. Notably, 22.3% of the protective effect of EM CD8br %CD8br on CRC was mediated through order Francisellales.

conclusionThis study provides evidence for a potential causal relationship between immune cells, gut microbiota, and CRC, highlighting the mediating role of specific gut microbiota. These findings offer new insights into the pathogenesis of CRC and may inform future therapeutic strategies.

Indexed as

Colorectal cancerGut microbiotaImmune cellsMediation analysisMendelian randomization

Identifiers

PMID40251662
PMCPMC12008918

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Registered trials

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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.