Identifying and ranking causal microbial biomarkers for colorectal cancer at different cancer subsites and stages: a Mendelian randomization study

Frontiers in Oncology

Oncology

Chuandi Jin¹  Hongfeng Li¹  Dashuang Sheng¹  Guoping Zhao²  Lei Zhang³ 

[1] Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China;Microbiome-X, National Institute of Health Data Science of China, Cheeloo College of Medicine, Shandong University, Jinan, China;Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China;Microbiome-X, National Institute of Health Data Science of China, Cheeloo College of Medicine, Shandong University, Jinan, China;State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China;CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China;Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China;Microbiome-X, National Institute of Health Data Science of China, Cheeloo College of Medicine, Shandong University, Jinan, China;State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China;Shandong Children’s Microbiome Center, Children’s Hospital Affiliated to Shandong University, Jinan, China;

关键词: colorectal cancer;    gut microbiota;    Mendelian randomization analysis;    dietary habit;    causal microbial biomarkers;   

DOI  :  10.3389/fonc.2023.1224705

 received in 2023-05-18, accepted in 2023-06-26,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionThe gut microbiome is directly involved in colorectal carcinogenesis, but much of the epidemiological evidence for the effect of the gut microbiome on colorectal cancer (CRC) risk comes from observational studies, and it is unclear whether identified microbial alterations are the cause or consequence of CRC development.MethodsUnivariate Mendelian randomization (MR) analysis and multivariate MR analysis based on Bayesian model averaging were performed to comprehensively explore the microbial risk factors associated with CRC. The Network Module Structure Shift method was used to identify microbial biomarkers associated with CRC. Mediation analysis was used to explore the dietary habits-microbiota-CRC pathway.ResultsThe results of the four methods showed that 9 bacteria had a robust causal relationship with the development of CRC. Among them, Streptococcus thermophilus reduced the risk of CRC; Eubacterium ventriosum and Streptococcus were beneficial bacteria of malignant tumors of colon (CC); Erysipelotrichaceae was a protective factor for malignant tumors of rectal (CR); Bacteroides ovatus was a risk factor for benign tumors. Finally, the mediation analysis revealed 10 pathways by which dietary regulation bacteria affected the risk of CRC, including alcohol consumption increased the risk of CC by reducing the abundance of Eubacterium ventriosum (mediated proportion: 43.044%), and the mediated proportion of other pathways was 7.026%-34.22%.DiscussionThese findings will contribute to the understanding of the different carcinogenic mechanisms of intestinal flora in the colon and rectum and the risk of tumor transformation, thereby aiding CRC prevention, early screening, and the development of future strategies to reduce CRC risk.

【 授权许可】

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Copyright © 2023 Li, Sheng, Jin, Zhao and Zhang