国际妇产科学杂志 ›› 2025, Vol. 52 ›› Issue (2): 169-174.doi: 10.12280/gjfckx.20241033

• 妇科肿瘤研究:综述 • 上一篇    下一篇

孟德尔随机化在暴露因素与宫颈癌因果关系中的研究进展

郭竞, 张茂祥, 周春鹤, 刘思宁, 李惠艳()   

  1. 150081 哈尔滨医科大学附属肿瘤医院(郭竞,周春鹤,刘思宁,李惠艳);哈尔滨医科大学肿瘤防治研究所(张茂祥)
  • 收稿日期:2024-11-14 出版日期:2025-04-15 发布日期:2025-04-22
  • 通讯作者: 李惠艳 E-mail:13836131750@163.com

The Progress of Mendelian Randomization in the Study of the Causal Relationship between Exposure Factors and Cervical Cancer

GUO Jing, ZHANG Mao-xiang, ZHOU Chun-he, LIU Si-ning, LI Hui-yan()   

  1. Harbin Medical University Cancer Hospital, Harbin 150081, China (GUO Jing, ZHOU Chun-he, LIU Si-ning, LI Hui-yan); Institute of Cancer Prevention and Treatment, Harbin Medical University, Harbin 150081, China (ZHANG Mao-xiang)
  • Received:2024-11-14 Published:2025-04-15 Online:2025-04-22
  • Contact: LI Hui-yan E-mail:13836131750@163.com

摘要:

了解潜在危险因素对于预防宫颈癌的发生至关重要。推断危险因素与疾病之间因果关系常采用随机对照试验与观察性研究,但在实际操作中,均有一定程度的局限性。近年来,孟德尔随机化(Mendelian randomization,MR)在癌症研究中备受关注,为发现危险因素及探究潜在治疗提供了新视角。MR使用遗传变异作为工具变量,模拟分析可调整的危险因素与疾病之间的关系,可以在流行病学研究中探索因果关系。综述MR在宫颈癌中的研究进展,总结多种危险因素与宫颈癌风险之间的内在联系,并阐述MR分析在宫颈癌研究领域中的实践与应用。

关键词: 宫颈肿瘤, 危险因素, 孟德尔随机化分析, 因果律, 工具变量

Abstract:

Understanding the potential risk factors is crucial for preventing the occurrence of cervical cancer. Inferring the causality relationships between risk factors and diseases often uses randomized controlled trials and observational studies, but in practice, there are some limitations in both cases. In recent years, Mendelian randomization (MR) has gained attention in cancer research, offering new perspectives for identifying risk factors and exploring potential treatments. MR uses genetic variants as instrumental variables to simulate analysis the relationship between modifiable risk factors and diseases, enabling causal inference in epidemiological studies. This review summarizes the research progress of MR in cervical cancer, summarizes the intrinsic connections between various risk factors and the risk of cervical cancer, and discusses the practice and application of MR analysis in the field of cervical cancer research.

Key words: Uterine cervical neoplasms, Risk factors, Mendelian randomization analysis, Causality, Instrumental variables