Yuan JX, Jiang Q, Yu SJ. Diabetes mellitus and prostate cancer risk: A mendelian randomization analysis. World J Diabetes 2023; 14(12): 1839-1848 [PMID: 38222791 DOI: 10.4239/wjd.v14.i12.1839]
Corresponding Author of This Article
Sheng-Jie Yu, MD, PhD, Associate Chief Physician, Associate Professor, Surgeon, Teacher, Department of Surgery, The Second Affiliated Hospital of Chongqing Medical University, No. 74-76 Linjiang Road, Chongqing 400010, China. bbyddh@sina.com
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Basic Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Dec 15, 2023; 14(12): 1839-1848 Published online Dec 15, 2023. doi: 10.4239/wjd.v14.i12.1839
Diabetes mellitus and prostate cancer risk: A mendelian randomization analysis
Jian-Xu Yuan, Qing Jiang, Sheng-Jie Yu
Jian-Xu Yuan, Qing Jiang, Sheng-Jie Yu, Department of Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
Author contributions: Jiang Q designed the research plan; Yuan JX wrote the first draft; Yuan JX and Yu SJ participated in data collection and analysis; Yu SJ made revisions to the manuscript; all authors contributed to the article and approved the submitted version.
Conflict-of-interest statement: All authors declare that this study was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sheng-Jie Yu, MD, PhD, Associate Chief Physician, Associate Professor, Surgeon, Teacher, Department of Surgery, The Second Affiliated Hospital of Chongqing Medical University, No. 74-76 Linjiang Road, Chongqing 400010, China. bbyddh@sina.com
Received: September 2, 2023 Peer-review started: September 2, 2023 First decision: November 14, 2023 Revised: November 20, 2023 Accepted: December 1, 2023 Article in press: December 1, 2023 Published online: December 15, 2023 Processing time: 102 Days and 21 Hours
ARTICLE HIGHLIGHTS
Research background
Some studies have shown a relationship between diabetes mellitus (DM) and prostate cancer (PCa); however, this specific relationship remains inconclusive.
Research motivation
Mendelian randomization (MR) has been a widely used analytical method in recent years for inferring epidemiological causes. We believe that MR can explain the causal relationship between DM and PCa.
Research objectives
Find the causal relationship between DM and PCa.
Research methods
We downloaded the relevant data from a public database, used three different MR methods, and conducted a sensitivity analysis for validation.
Research results
These results indicated that DM was an independent risk factor for PCa. The odds ratio (OR) values obtained using the inverse variance weighted method in this study were as follows: OR = 1.018 (95% confidence interval: 1.004-1.032), P = 0.014.
Research conclusions
Through MR analysis of a large sample, this study found that DM was an independent risk factor for PCa, providing new directions for the prevention and treatment of PCa.
Research perspectives
This study investigated the potential relationship between DM and PCa using MR.
