Md. Abdul Aziz , Mohammad Sarowar Uddin , Md. Shalahuddin Millat , Mohammad Safiqul Islam
{"title":"Vascular endothelial growth factor A (VEGFA) promoter rs2010963 polymorphism and cancer risk: An updated meta-analysis and trial sequential analysis","authors":"Md. Abdul Aziz , Mohammad Sarowar Uddin , Md. Shalahuddin Millat , Mohammad Safiqul Islam","doi":"10.1016/j.mgene.2022.101017","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>Previous observational studies evaluating the relationship of <span><em>VEGFA</em></span> rs2010963 polymorphism with cancer risk reported inconsistent outcomes. We conducted this meta-analysis to confirm a firm correlation of rs2010963 with overall cancers.</p></div><div><h3>Materials and methods</h3><p>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.</p></div><div><h3>Results</h3><p>In the overall cancers and population, no association between <em>VEGFA</em> rs2010963 and cancer was found. We observed a statistically significant association (<em>p</em><span> < 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 </span><em>VEGFA</em> rs2010963 and cancer was found.</p></div><div><h3>Conclusions</h3><p>The present meta-analysis indicates that <em>VEGFA</em> 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.</p></div>","PeriodicalId":38190,"journal":{"name":"Meta Gene","volume":"31 ","pages":"Article 101017"},"PeriodicalIF":0.8000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meta Gene","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214540022000081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
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.
Meta GeneBiochemistry, 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.