Evidence map›Paper›PMID 39355266›Full record

ArticleFrontiers in cellular and infection microbiology2024

Revealing the association between East Asian oral microbiome and colorectal cancer through Mendelian randomization and multi-omics analysis.

Yuheng Gu, Lai Jiang, Min Shui, Honghao Luo, Xuancheng Zhou, Shengke Zhang, Chenglu Jiang, Jinbang Huang, Haiqing Chen, Jingyi Tang and 7 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  12. Crosstalk Between Oral Microbiome and Cancer: Emerging Trends and Insights.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
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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

17 authors.

Yuheng Gu *School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Lai Jiang *School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Min Shui *Department of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Honghao LuoDepartment of Radiology, Xichong People's Hospital, Nanchong, China.
Xuancheng ZhouSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Shengke ZhangSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Chenglu JiangSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Jinbang HuangSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Haiqing ChenSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Jingyi TangSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Yiping FuSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Huiyan LuoDepartment of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Guanhu YangDepartment of Specialty Medicine, Ohio University, Athens, OH, United States.
Ke XuDepartment of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Hao ChiSchool of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Jie LiuDepartment of Specialty Medicine, Ohio University, Athens, OH, United States.
Shangke HuangDepartment of Oncology, The Affiliated Hospital, Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) poses a global health threat, with the oral microbiome increasingly implicated in its pathogenesis. This study leverages Mendelian Randomization (MR) to explore causal links between oral microbiota and CRC using data from the China National GeneBank and Biobank Japan. By integrating multi-omics approaches, we aim to uncover mechanisms by which the microbiome influences cellular metabolism and cancer development. Methods: We analyzed microbiome profiles from 2017 tongue and 1915 saliva samples, and GWAS data for 6692 CRC cases and 27178 controls. Significant bacterial taxa were identified via MR analysis. Single-cell RNA sequencing and enrichment analyses elucidated underlying pathways, and drug predictions identified potential therapeutics. Results: MR identified 19 bacterial taxa significantly associated with CRC. Protective effects were observed in taxa like RUG343 and Streptococcus_umgs_2425, while HOT-345_umgs_976 and W5053_sp000467935_mgs_712 increased CRC risk. Single-cell RNA sequencing revealed key pathways, including JAK-STAT signaling and tyrosine metabolism. Drug prediction highlighted potential therapeutics like Menadione Sodium Bisulfite and Raloxifene. Conclusion: This study establishes the critical role of the oral microbiome in colorectal cancer development, identifying specific microbial taxa linked to CRC risk. Single-cell RNA sequencing and drug prediction analyses further elucidate key pathways and potential therapeutics, providing novel insights and personalized treatment strategies for CRC.

Indexed as

Colorectal NeoplasmsMendelian Randomization AnalysisMicrobiotaBacteriaChinaEast Asian PeopleGenome-Wide Association StudyHumansJapanMouthMultiomicsSalivaSingle-Cell Analysiscolorectal cancerMendelian randomizationoral microbiomesingle-cell RNA sequencingtherapeutic targets

Identifiers

PMID39355266
PMCPMC11443854

What Socratic holds

Textmetadata
LicenceCC BY
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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.