Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur-3814, Noakhali, Bangladesh.
Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Noakhali Science and Technology University, Sonapur-3814, Noakhali, Bangladesh.
J Int Med Res. 2022 Oct;50(10):3000605221133173. doi: 10.1177/03000605221133173.
The variant has been associated with elevated cancer risk, but the evidence is inconclusive. We performed a meta-analysis to clarify the role of this variant in cancer development.
Eligible literature was selected by searching PubMed, Google Scholar, Cochrane Library, and Embase. The meta-analysis was performed using Review Manager 5.4.
A meta-analysis of 55 case-control studies showed that the variant was significantly associated with overall cancer development in five genetic models, including the allele model (AM), codominant model 1 (COD1), COD2, dominant model (DM), and over-dominant model (OD). Sub-group analysis based on ethnicity showed significantly higher risks in Africans in COD2 and RM and in Whites in AM, COD2, DM, and recessive model (RM). Cancer-specific subgroup analysis identified significant risks of gynecological (ovarian, cervical, and endometrial cancer), colorectal, oral, head and neck, and other cancers. Moreover, hospital-based controls revealed significant cancer risks in the AM, COD1, COD2, DM, and RM genetic models. Our findings were confirmed by trial sequential analysis.
This meta-analysis confirmed that significantly elevates the overall cancer risk, especially in White, African, and hospital-based populations, and specifically predisposes individuals to gynecological, colorectal, oral, and head and neck cancers.This meta-analysis was registered at INPLASY (registration number: INPLASY202210070).
该变体与癌症风险升高相关,但证据尚不确定。我们进行了一项荟萃分析,以阐明该变体在癌症发展中的作用。
通过搜索 PubMed、Google Scholar、Cochrane Library 和 Embase 来选择合格的文献。使用 Review Manager 5.4 进行荟萃分析。
对 55 项病例对照研究的荟萃分析表明,该变体在五种遗传模型中与总体癌症发展显著相关,包括等位基因模型(AM)、共显性模型 1(COD1)、COD2、显性模型(DM)和超显性模型(OD)。基于种族的亚组分析表明,在 COD2 和 RM 中非洲人群和 AM、COD2、DM 和隐性模型(RM)中白人群体的风险显著升高。癌症特异性亚组分析确定了妇科(卵巢癌、宫颈癌和子宫内膜癌)、结直肠癌、口腔癌、头颈部癌和其他癌症的显著风险。此外,基于医院的对照组在 AM、COD1、COD2、DM 和 RM 遗传模型中显示出显著的癌症风险。我们的研究结果通过试验序贯分析得到了证实。
这项荟萃分析证实,该变体显著增加了总体癌症风险,特别是在白种人、非洲人和基于医院的人群中,并且特别使个体易患妇科、结直肠癌、口腔癌和头颈部癌。这项荟萃分析在 INPLASY 进行了注册(注册号:INPLASY202210070)。