Yaxuan Wang, Zhan Yang, Xueliang Chang, Jingdong Li, Zhenwei Han
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Potential sources of heterogeneity were sought out via meta-regression, subgroup and sensitivity analysis.</p><p><strong>Results: </strong>Overall, a total of 15 articles with 21,365 cases and 29,280 controls for five polymorphisms of the <i>MDM4</i> gene were enrolled. In the stratified analysis of rs1380576, we found that Asians might have less susceptibility to cancer. We found that rs4245739 was correlated with a decreased risk of cancer for Asians and breast cancer susceptibility. However, for other polymorphisms, the results showed no significant association with cancer risk.</p><p><strong>Conclusion: </strong><i>MDM4</i> rs1380576 polymorphism is negatively associated with the risk of cancer in the Asian population. <i>MDM4</i> rs4245739 polymorphism is inversely associated with cancer risk for Asians and breast cancer susceptibility.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/17246008211033874","citationCount":"2","resultStr":"{\"title\":\"Five <i>MDM4</i> gene polymorphisms on cancer risk: An updated systematic review and meta-analysis.\",\"authors\":\"Yaxuan Wang, Zhan Yang, Xueliang Chang, Jingdong Li, Zhenwei Han\",\"doi\":\"10.1177/17246008211033874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The study aims to provide a comprehensive account of the association of five <i>MDM4</i> gene polymorphisms (rs1380576, rs1563828, rs10900598, rs11801299, and rs4245739) with susceptibility to cancer.</p><p><strong>Methods: </strong>A literature search for eligible candidate gene studies published before 27 February 2021 was conducted in PubMed, Medline and Web of Science. 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引用次数: 2
摘要
目的:本研究旨在全面了解5种MDM4基因多态性(rs1380576、rs1563828、rs10900598、rs11801299和rs4245739)与癌症易感性的关系。方法:在PubMed、Medline和Web of Science检索2021年2月27日前发表的符合条件的候选基因研究。使用以下主要关键词组合:(MDM4或MDMX或HDMX或小鼠双分4同源)和(多态性或突变或变异或SNP或基因型)和(癌症或肿瘤或肿瘤或恶性肿瘤或癌或腺癌)。通过meta回归、亚组分析和敏感性分析寻找潜在的异质性来源。结果:总体而言，共有15篇文章纳入了MDM4基因的5种多态性，涉及21,365例病例和29,280例对照。在rs1380576的分层分析中，我们发现亚洲人可能对癌症的易感性较低。我们发现rs4245739与亚洲人癌症风险降低和乳腺癌易感性相关。然而，对于其他多态性，结果显示与癌症风险没有显著关联。结论:MDM4 rs1380576多态性与亚洲人群癌症风险呈负相关。MDM4 rs4245739多态性与亚洲人的癌症风险和乳腺癌易感性呈负相关。
Five MDM4 gene polymorphisms on cancer risk: An updated systematic review and meta-analysis.
Purpose: The study aims to provide a comprehensive account of the association of five MDM4 gene polymorphisms (rs1380576, rs1563828, rs10900598, rs11801299, and rs4245739) with susceptibility to cancer.
Methods: A literature search for eligible candidate gene studies published before 27 February 2021 was conducted in PubMed, Medline and Web of Science. The following combinations of main keywords were used: (MDM4 OR MDMX OR HDMX OR mouse double minute 4 homolog) AND (polymorphism OR mutation OR variation OR SNP OR genotype) AND (cancer OR tumor OR neoplasm OR malignancy OR carcinoma OR adenocarcinoma). Potential sources of heterogeneity were sought out via meta-regression, subgroup and sensitivity analysis.
Results: Overall, a total of 15 articles with 21,365 cases and 29,280 controls for five polymorphisms of the MDM4 gene were enrolled. In the stratified analysis of rs1380576, we found that Asians might have less susceptibility to cancer. We found that rs4245739 was correlated with a decreased risk of cancer for Asians and breast cancer susceptibility. However, for other polymorphisms, the results showed no significant association with cancer risk.
Conclusion: MDM4 rs1380576 polymorphism is negatively associated with the risk of cancer in the Asian population. MDM4 rs4245739 polymorphism is inversely associated with cancer risk for Asians and breast cancer susceptibility.
期刊介绍：
IJBM is an international, online only, peer-reviewed Journal, which publishes original research and critical reviews primarily focused on cancer biomarkers. IJBM targets advanced topics regarding the application of biomarkers in oncology and is dedicated to solid tumors in adult subjects. The clinical scenarios of interests are screening and early diagnosis of cancer, prognostic assessment, prediction of the response to and monitoring of treatment.
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