Department of Gynecology, People's Hospital of Xinjiang Uygur Autonomous Region, No 91 Tianqi Road, Urumqi, Xinjiang, 830001, China.
Key Laboratory of Resource Biology and Biotechnology in Western China, (Northwest University), Ministry of Education, Xi'an, Shaanxi, 710069, P. R. China.
BMC Cancer. 2020 Apr 9;20(1):299. doi: 10.1186/s12885-020-06779-4.
RIPK1 (receptor-interacting protein kinase-1) plays a role in cancer development, whereas no clear studies focused on the cervical cancer. The objective of this study was to evaluate the relationship between RIPK1 polymorphisms and cervical cancer risk among the Uyghur population.
We performed a case-control study including 342 cervical cancer patients and 498 age-matched healthy controls. Four RIPK1 genetic variants (rs6907943, rs2077681, rs9503400 and rs17548629) were genotyped with Agena MassARRAY platform. The associations between RIPK1 polymorphisms and cervical cancer risk were assessed under Binary logistic regression models. False discovery rate (FDR) was used to improve the results reliability.
The results showed rs2077681 was significantly associated with cervical cancer risk under various genetic models (codominant: OR = 3.14, 95% CI = 1.40-7.07, p = 0.006, FDR-p = 0.018; recessive: OR = 3.20, 95% CI = 1.43-7.16, p = 0.005, FDR-0.018). The stratified analysis indicated that the relationships of rs6907946, rs9503400 and rs17548629 with cervical cancer risk were statistically significant in the subgroup of clinical stage (p < 0.05).
Our findings demonstrated that RIPK1 polymorphisms were associated with cervical cancer susceptibility among the Uyghur population in China, and RIPK1 polymorphisms might be involved in the development of cervical cancer.
RIPK1(受体相互作用蛋白激酶-1)在癌症发展中起作用,而针对宫颈癌的明确研究尚不多见。本研究旨在评估 RIPK1 多态性与维吾尔族人群宫颈癌风险之间的关系。
我们进行了一项病例对照研究,纳入了 342 例宫颈癌患者和 498 名年龄匹配的健康对照者。使用 Agena MassARRAY 平台对 RIPK1 的 4 个遗传变异(rs6907943、rs2077681、rs9503400 和 rs17548629)进行了基因分型。使用二元逻辑回归模型评估 RIPK1 多态性与宫颈癌风险之间的关联。使用错误发现率(FDR)来提高结果的可靠性。
结果显示,在各种遗传模型下,rs2077681 与宫颈癌风险显著相关(共显性模型:OR=3.14,95%CI=1.40-7.07,p=0.006,FDR-p=0.018;隐性模型:OR=3.20,95%CI=1.43-7.16,p=0.005,FDR-0.018)。分层分析表明,rs6907946、rs9503400 和 rs17548629 与宫颈癌风险的关系在临床分期亚组中具有统计学意义(p<0.05)。
我们的研究结果表明,RIPK1 多态性与中国维吾尔族人群宫颈癌易感性相关,RIPK1 多态性可能参与宫颈癌的发生。