Mendelian Randomization Study on Cervical Cancer and Immune Cell Phenotypes

Corresponding author: NAN Shuang, 397511374@qq.com

DOI: 10.12201/bmr.202412.00050

•  

  Abstract: 【 】Objective: This study aims to explore the causal relationships between 731 immune cell phenotypes and cervical cancer using a two-sample MR (Mendelian randomization) analysis. Methods: Utilizing results from GWAS (Genome-Wide Association Studies), we conducted MR analysis using IVW (Inverse Variance Weighted) method as the primary approach, along with MR-Egger regression, WME (Weighted Median Estimation), SM(simple mode), and WM(weighted mode) methods. Sensitivity analyses were performed to assess heterogeneity and horizontal pleiotropy. Results: Using IVW as the primary analytical method (PIVW<0.01) and ensuring consistency in the direction of results across all five MR methods, we identified five immune cell phenotypes potentially causally associated with cervical cancer. Among these, three immune cell phenotypes, CM CD4+%CD4+ T cell (ORIVW=0.804, 95% CI:0.685-0.943, PIVW=0.0074), Naive CD8br T cell AC (ORIVW=0.493, 95% CI:0.359-0.676, PIVW=0.00001), and CD45 on Im MDSC (ORIVW=0.746, 95% CI:0.609-0.914, PIVW=0.0048), were positively associated with cervical cancer risk, while two immune cell phenotypes, IgD on IgD+ CD38- unswitched memory (ORIVW=1.393, 95% CI:1.148-1.69, PIVW=0.00078) and CD3 on TD CD8br (ORIVW=1.267, 95% CI:1.082-1.483, PIVW=0.0033), were negatively associated with cervical cancer risk. Conclusion: This study identifies five immune cell phenotypes closely related to cervical cancer risk through genetic analysis, providing new insights for early prevention and the development of novel immunotherapies for cervical cancer.

  Key words: Mendelian randomization；Cervical cancer；Immune cells；Genome-wide association study; ; ; 

  Submit time: 23 December 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• ZHU yan, ZHENG Jie, Li Xiaoying, Yang Xiaolin, HE Yongqun. Introduction to Basic Formal Ontology and its Chinese Translation. 2020. doi: 10.12201/bmr.202007.00009

  zhang tao. Association Between Gut Microbiota and Liver Cirrhosis in East Asian Populations: A Mendelian Randomization Study. 2024. doi: 10.12201/bmr.202412.00049

  liuwenyuan. A two-sample Mendelian Randomization study of causality between opioids and chronic renal failure. 2024. doi: 10.12201/bmr.202411.00028

  huyanzhi, zhouminhan, xuwuji. A Mendelian randomization analysis of the association between spinal stenosis and constipation. 2024. doi: 10.12201/bmr.202412.00039

  Hua Lin. Identification of links between sleepiness and gut microbiota using Mendelian randomization analysis. 2024. doi: 10.12201/bmr.202409.00006

  cheng lingjing, li hetong, zhang shengxiao, liu hongqi, yu qi, zheng chaoyue, feng shuang, kong teng, sun xiangfei, he peifeng, LV Xiao-ping. Protein-based bioinformatics analysis of cervical cancer-related genes. 2023. doi: 10.12201/bmr.202303.00017

  Chen Zhifang. Research Progress on the Diagnostic and Triage Roles of PAX1 Methylation in Cervical Cancer. 2024. doi: 10.12201/bmr.202412.00067

  weihuanan, liuxiwen, wangxuefeng, yuzhengjie. Research on the Co-fund Effectiveness and Patterns of Medical Research Funds: A Case Study of Cervical Cancer Research. 2024. doi: 10.12201/bmr.202404.00023

  ZhouMengqian, Tang Tong. Prediction of Lateral Cervical Lymph Node metastasis risk in Thyroid Cancer based on preoperative Lymph Node Ultrasonographic Characteristics. 2024. doi: 10.12201/bmr.202410.00035

  Yadian Lei, Haiyan Wang. The Impact of the Tumor Immune Microenvironment on T Cell Function: Focusing on the Limitations of ICB and Combined Treatment Strategies. 2024. doi: 10.12201/bmr.202412.00083

• ID	Submit time	Number	Download
  1	2024-12-08	bmr.202412.00050V1	Download

• Public  Anonymous  To author only Submit Comments