Evidence map›Paper›PMID 40790767›Full record

SynthesisArchives of public health = Archives belges de sante publique2025

Genetically proxied gut microbiota and cancer risk: a scoping review of Mendelian randomization studies.

Yating Cui, Jianguo Xu, Qingyong Zheng, Junfei Wang, Caihua Xu, Mingyue Zhang, Jiang Li, Jinhui Tian

Abstract readSystematic Review
In one paragraph

Synthesis in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Microbiome-guided cancer immunotherapy: immune mechanisms, resistance pathways, and translational opportunities for precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Article
  3. Article
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

8 authors.

Yating CuiEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.
Jianguo XuEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.
Qingyong ZhengEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.
Junfei WangEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.
Caihua XuEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.
Mingyue ZhangEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.
Jiang Li *National Clinical Research Center for Cancer, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. lij@cicams.ac.cn.
Jinhui Tian *Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China. tjh996@163.com.

Funding

the Gansu Province science and technology plan project 21JR7RA659
6 · The paper itself

Abstract

backgroundCancer is a critical global health issue, and gut microbiota is considered a potential factor in the development of cancers. This review synthesizes evidence from Mendelian Randomization (MR) studies to explore the potential causal links between gut microbiota and cancer risk, thereby addressing the limitations inherent in observational studies.

methodsWe adopted a systematic literature review approach to search the PubMed, Embase, and Web of Science databases up to December 2023 for all MR studies examining the relationship between gut microbial diversity, strain-specific abundance, and cancer risk. Data extraction encompassed study design, study population, definition of microbial exposure, details of genetic instrument variables, sample size, effect estimates, and statistical significance. Given the diversity of genetic tools across different studies, the results of each study were presented in the form of a forest plot, and quality was assessed according to STROBE-MR criteria.

resultsWe reviewed 12 MR studies involving the relationships between 91 gut microbiota species and 14 types of cancer. The studies found that 64 of these gut microbiota species have potential protective effects against cancers, while 52 show tendencies to promote cancer development. Additionally, the relationship between 17 gut microbiota species and cancer remains unclear. Notably, the same gut microbiota species may have distinctly different impacts on different types of cancer.

conclusionDiverse gut microbiota have varied impacts on different cancer types. This microbial influence on cancer is not static; it changes dynamically. These changes are linked to variations in inflammation, metabolite adjustments, and differences in gut barrier function.

Indexed as

CancerGut microbiotaMendelian randomizationScoping review

Identifiers

PMID40790767
PMCPMC12337565

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.