Evidence map›Paper›PMID 37012201›Full record

SynthesisCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Exploring the Complex Relationship between Gut Microbiota and Risk of Colorectal Neoplasia Using Bidirectional Mendelian Randomization Analysis.

Wanxin Li, Xuan Zhou, Shuai Yuan, Lijuan Wang, Lili Yu, Jing Sun, Jie Chen, Qian Xiao, Zhongxiao Wan, Ju-Sheng Zheng and 10 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Gut microbeFrontiers in immunology · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. MV-CVIB:Frontiers in microbiology · 2023
    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

20 authors at 9 institutions in 4 countries.

Wanxin Li *Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-7981-3228
Xuan Zhou *Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-3919-0342
Shuai YuanDepartment of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0001-5055-5627
Lijuan WangDepartment of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-9797-0753
Lili YuDepartment of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-1559-4254
Jing SunDepartment of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-0046-6663
Jie ChenDepartment of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-4029-4192
Qian XiaoColorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-0120-2371
Zhongxiao WanDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.ORCID 0000-0002-6297-5933
Ju-Sheng ZhengKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.ORCID 0000-0001-6560-4890
Cai-Xia ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-9671-9412
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-0118-0341
Susan M FarringtonColon Cancer Genetics Group, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-5955-7389
Philip LawDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.ORCID 0000-0001-9663-4611
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.ORCID 0000-0002-5268-0242
Ian TomlinsonCancer Research UK Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-3037-1470
Ke-Feng DingColorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-2380-3717
Malcolm G Dunlop *Colon Cancer Genetics Group, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-3033-5851
Evropi Theodoratou *Colon Cancer Genetics Group, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-5887-9132
Xue LiDepartment of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0001-6880-2577
Second Affiliated Hospital of Zhejiang University · CNEdinburgh Cancer Research · GBCancer Research UK · GBZhejiang Cancer Hospital · CNKarolinska Institutet · SESoochow University · CNSun Yat-sen University · CNUppsala University · SEWestlake University · CN

Funding

Cancer Research UK 18927Cancer Research UK 22804Cancer Research UK 25514Cancer Research UK C1298/A25514Cancer Research UK C31250/A22804Cancer Research UK C348/A12076Cancer Research UK C348/A18927Cancer Research UK C6199/A16459Medical Research Council MC_PC_U127527198Medical Research Council MC_U127527198Medical Research Council MC_UU_00007/1
6 · The paper itself

Abstract

backgroundHuman gut microbiome has complex relationships with the host, contributing to metabolism, immunity, and carcinogenesis.

methodsSummary-level data for gut microbiota and metabolites were obtained from MiBioGen, FINRISK and human metabolome consortia. Summary-level data for colorectal cancer were derived from a genome-wide association study meta-analysis. In forward Mendelian randomization (MR), we employed genetic instrumental variables (IV) for 24 gut microbiota taxa and six bacterial metabolites to examine their causal relationship with colorectal cancer. We also used a lenient threshold for nine apriori gut microbiota taxa as secondary analyses. In reverse MR, we explored association between genetic liability to colorectal neoplasia and abundance of microbiota studied above using 95, 19, and 7 IVs for colorectal cancer, adenoma, and polyps, respectively.

resultsForward MR did not find evidence indicating causal relationship between any of the gut microbiota taxa or six bacterial metabolites tested and colorectal cancer risk. However, reverse MR supported genetic liability to colorectal adenomas was causally related with increased abundance of two taxa: Gammaproteobacteria (β = 0.027, which represents a 0.027 increase in log-transformed relative abundance values of Gammaproteobacteria for per one-unit increase in log OR of adenoma risk; P = 7.06×10-8), Enterobacteriaceae (β = 0.023, P = 1.29×10-5).

conclusionsWe find genetic liability to colorectal neoplasia may be associated with abundance of certain microbiota taxa. It is more likely that subset of colorectal cancer genetic liability variants changes gut biology by influencing both gut microbiota and colorectal cancer risk. IMPACT: This study highlights the need of future complementary studies to explore causal mechanisms linking both host genetic variation with gut microbiome and colorectal cancer susceptibility.

Indexed as

AdenomaColorectal NeoplasmsGastrointestinal MicrobiomeBacteriaGenome-Wide Association StudyHumansMendelian Randomization Analysis

Identifiers

PMID37012201
PMCPMC10233354
OpenAlexW4362523816

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.