VEGF多态性与乳腺癌易感性的关联:系统回顾和荟萃分析

IF 0.8 Q4 GENETICS & HEREDITY

Meta Gene Pub Date : 2021-12-01 DOI:10.1016/j.mgene.2021.100946

Y. Santhosh Kumar , Sindhu Varghese , Langeswaran Kulanthaivel , Gowtham Kumar Subbaraj

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引用次数: 3

摘要

目的本荟萃分析旨在评价不同VEGF基因多态性(VEGF 2578 C/A、VEGF 936 C/T、VEGF 634 G/C、VEGF 460 T/C和VEGF 405 C/G)之间的相关性。方法通过收集从PubMed central、Embase和谷歌Scholar检索的24项适当研究的结果进行荟萃分析。采用Review Manager 5.4软件进行统计分析。结果Meta分析结果显示，VEGF 2578 C/A、VEGF 460 T/C、VEGF 634 G/C、VEGF 405 G/C基因多态性与乳腺癌发病风险无显著相关性。此外，VEGF 936c /T多态性与乳腺癌风险有显著关联。未观察到发表偏倚。结论VEGF 2578 C/A、VEGF 460 T/C、VEGF 634 G/C、VEGF 405 G/C基因多态性与乳腺癌发病无相关性，而VEGF 936 C/T基因多态性与乳腺癌发病有相关性。进一步的更大样本量的深思熟虑的研究对于评估这些关联是必不可少的。

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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Association of VEGF polymorphisms and breast cancer susceptibility: Systemic review and meta-analysis

Aim

This meta-analysis aimed to evaluate the association between different VEGF gene polymorphisms (VEGF 2578 C/A, VEGF 936 C/T, VEGF 634 G/C, VEGF 460 T/C and VEGF 405 C/G).

Methodology

Meta-analysis was performed by collecting the results of 24 appropriate studies that were retrieved from PubMed central, Embase and Google Scholar. The statistical analyses were performed by using Review Manager 5.4 software.

Results

The Meta analysis results revealed that there is no significant association between VEGF 2578 C/A, VEGF 460 T/C, VEGF 634 G/C, and 405 G/C gene polymorphisms with the risk of breast cancer. Additionally, a significant association was identified in VEGF 936 C/T polymorphism with risk of breast cancer. No publication bias was observed.

Conclusion

The results revealed that VEGF 2578 C/A, VEGF 460 T/C, VEGF 634 G/C, 405 G/C gene polymorphisms were not associated with the risk of breast cancer whereas VEGF 936 C/T polymorphism maybe associated with breast cancer. Further well deliberated studies with bigger sample size are essential to evaluate the associations.

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来源期刊

Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

1.10

自引率

0.00%

发文量

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.