Vascular endothelial growth factor A (VEGFA) promoter rs2010963 polymorphism and cancer risk: An updated meta-analysis and trial sequential analysis

IF 0.8 Q4 GENETICS & HEREDITY Meta Gene Pub Date : 2022-02-01 DOI:10.1016/j.mgene.2022.101017
Md. Abdul Aziz , Mohammad Sarowar Uddin , Md. Shalahuddin Millat , Mohammad Safiqul Islam
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引用次数: 3

Abstract

Objectives

Previous observational studies evaluating the relationship of VEGFA rs2010963 polymorphism with cancer risk reported inconsistent outcomes. We conducted this meta-analysis to confirm a firm correlation of rs2010963 with overall cancers.

Materials and methods

A total of 70 eligible studies, including 25,245 cancer patients and 28,219 controls, were retrieved from online databases and included studies that analyzed odds ratio (OR) with 95% confidence intervals.

Results

In the overall cancers and population, no association between VEGFA rs2010963 and cancer was found. We observed a statistically significant association (p < 0.05) of rs2010963 with increased cancer risk in the African population (codominant 1: OR = 1.44, dominant model: OR = 1.41, allele model: OR = 1.24). Stratification by cancer types showed significant association with urogenital cancer risk under codominant 1 (OR = 1.22), codominant 2 (OR = 1.55), codominant 3 (OR = 1.24), dominant (OR = 1.29), recessive (OR = 1.36), and allele model (OR = 1.24). In renal cell cancer, four genetic models depicted significant correlation, namely codominant 1 (OR = 1.28), codominant 2 (OR = 1.68), dominant (OR = 1.38), and allele model (OR = 1.29). For osteosarcoma, codominant 3 (OR = 0.81) and the overdominant model showed significant association (OR = 1.16). Three genetic models showed a protective effect in thyroid cancer, including codominant 2, recessive, and allele models (OR = 0.48, 0.59, and 0.68, respectively). Only the recessive model in Asian breast cancer patients (OR = 1.16) and codominant 3 and recessive model in mixed patients (OR = 1.43 and 1.39) showed an association.In the overall cancers and population, no association between VEGFA rs2010963 and cancer was found.

Conclusions

The present meta-analysis indicates that VEGFA rs2010963 polymorphism is associated with susceptibility to cancer, especially in African population. Stratified analysis suggests that rs2010963 is also associated with osteosarcoma, urogenital, renal, thyroid, and breast cancer. Trial sequential analysis also validated our findings.

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血管内皮生长因子A (VEGFA)启动子rs2010963多态性与癌症风险:一项最新的荟萃分析和试验序列分析
目的先前评估VEGFA rs2010963多态性与癌症风险关系的观察性研究报告了不一致的结果。我们进行了这项荟萃分析,以确认rs2010963与总体癌症的确切相关性。材料和方法从在线数据库中检索到70项符合条件的研究,包括25,245例癌症患者和28,219例对照,其中包括以95%置信区间分析优势比(OR)的研究。结果在总体癌症和人群中,VEGFA rs2010963与癌症无相关性。我们观察到有统计学意义的关联(p <0.05) rs2010963与非洲人群癌症风险增加的相关性(共显性1:OR = 1.44,显性模型:OR = 1.41,等位基因模型:OR = 1.24)。在共显性1型(OR = 1.22)、共显性2型(OR = 1.55)、共显性3型(OR = 1.24)、显性(OR = 1.29)、隐性(OR = 1.36)和等位基因模型(OR = 1.24)下,癌型分层与泌尿生殖系统癌风险有显著相关性。在肾细胞癌中,共显性1 (OR = 1.28)、共显性2 (OR = 1.68)、显性(OR = 1.38)和等位基因模型(OR = 1.29)四种遗传模型具有显著相关性。对于骨肉瘤,共显性3型(OR = 0.81)和过显性模型(OR = 1.16)具有显著相关性。三种遗传模型显示了对甲状腺癌的保护作用,包括共显性、隐性和等位基因模型(OR分别为0.48、0.59和0.68)。只有亚洲乳腺癌患者的隐性模式(OR = 1.16)和混合患者的共显性3和隐性模式(OR = 1.43和1.39)存在关联。在总体癌症和人群中,未发现VEGFA rs2010963与癌症之间的关联。结论本荟萃分析表明,VEGFA rs2010963多态性与癌症易感性相关,尤其是在非洲人群中。分层分析表明rs2010963也与骨肉瘤、泌尿生殖系统、肾脏、甲状腺和乳腺癌相关。试验序贯分析也证实了我们的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Meta Gene
Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍: Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.
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