TIMP2 418 G/C 和 MMP 基因多态性与泌尿系统癌症风险的关系:系统综述与元分析》(Systematic Review and Meta-analysis)。

IF 1.1 4区 生物学 Q4 GENETICS & HEREDITY Genetic testing and molecular biomarkers Pub Date : 2024-03-01 Epub Date: 2024-03-13 DOI:10.1089/gtmb.2023.0457
Pemula Gowtham, Koyeli Girigoswami, Anbazhagan Thirumalai, Karthick Harini, Pragya Pallavi, Agnishwar Girigoswami
{"title":"TIMP2 418 G/C 和 MMP 基因多态性与泌尿系统癌症风险的关系:系统综述与元分析》(Systematic Review and Meta-analysis)。","authors":"Pemula Gowtham, Koyeli Girigoswami, Anbazhagan Thirumalai, Karthick Harini, Pragya Pallavi, Agnishwar Girigoswami","doi":"10.1089/gtmb.2023.0457","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Aim:</i></b> The matrix metalloproteinases (MMPs) inhibit tissue inhibitors of metalloproteinases (TIMPs), playing a notable role in various biological processes, and mutations in <i>TIMP2</i> genes impact a variety of urinary cancers. In this study, we analyze and evaluate the potential involvement of the <i>TIMP2</i> 418 G/C and MMP gene polymorphism in the etiology of urinary cancer. <b><i>Methodology:</i></b> For suitable case-control studies, a literature search was undertaken from various database sources such as PubMed, EMBASE, and Google Scholar. Incorporated into the analysis were case-control or cohort studies that documented the correlation between <i>TIMP2</i> 418 G/C and urological cancers. MetaGenyo served as the tool for conducting the meta-analysis, employing a fixed-effects model. The collective odds ratios, along with their corresponding 95% confidence intervals, were calculated and presented to assess the robustness of the observed associations. <b><i>Results:</i></b> A total of seven studies involving controls and cases out of recorded 1265 controls and 1154 cases were analyzed to ascertain the significant association of the <i>TIMP2</i> gene with urologic cancer. No statistically significant correlation was observed between allelic, recessive, dominant, and overdominant models for the genetic variant under investigation. A 95% confidence interval (CI) and odds ratio (OR) were computed for each model, considering <i>p</i>-values <0.05. The OR and 95% CI for the allelic model were 0.99 and 0.77-1.27, respectively, whereas the respective values were 1.00 and 0.76-1.32 for the recessive model. In the dominant contrast model, OR and 95% CI were 1.09 and 0.62-1.90, while the same were 0.93 and 0.77-1.12 for the overdominant model. A funnel plot was used to reanalyze and detect the results as statically satisfactory. <b><i>Conclusions:</i></b> As a result of the data obtained, the <i>TIMP2</i> gene polymorphism does not correlate statistically with cancer risk. The significance of this finding can only be confirmed using a large population, extensive epidemiological research, a comprehensive survey, and a better understanding of the molecular pathways associated.</p>","PeriodicalId":12603,"journal":{"name":"Genetic testing and molecular biomarkers","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of <i>TIMP2</i> 418 G/C and MMP Gene Polymorphism with Risk of Urinary Cancers: Systematic Review and Meta-analysis.\",\"authors\":\"Pemula Gowtham, Koyeli Girigoswami, Anbazhagan Thirumalai, Karthick Harini, Pragya Pallavi, Agnishwar Girigoswami\",\"doi\":\"10.1089/gtmb.2023.0457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Aim:</i></b> The matrix metalloproteinases (MMPs) inhibit tissue inhibitors of metalloproteinases (TIMPs), playing a notable role in various biological processes, and mutations in <i>TIMP2</i> genes impact a variety of urinary cancers. In this study, we analyze and evaluate the potential involvement of the <i>TIMP2</i> 418 G/C and MMP gene polymorphism in the etiology of urinary cancer. <b><i>Methodology:</i></b> For suitable case-control studies, a literature search was undertaken from various database sources such as PubMed, EMBASE, and Google Scholar. Incorporated into the analysis were case-control or cohort studies that documented the correlation between <i>TIMP2</i> 418 G/C and urological cancers. MetaGenyo served as the tool for conducting the meta-analysis, employing a fixed-effects model. The collective odds ratios, along with their corresponding 95% confidence intervals, were calculated and presented to assess the robustness of the observed associations. <b><i>Results:</i></b> A total of seven studies involving controls and cases out of recorded 1265 controls and 1154 cases were analyzed to ascertain the significant association of the <i>TIMP2</i> gene with urologic cancer. No statistically significant correlation was observed between allelic, recessive, dominant, and overdominant models for the genetic variant under investigation. A 95% confidence interval (CI) and odds ratio (OR) were computed for each model, considering <i>p</i>-values <0.05. The OR and 95% CI for the allelic model were 0.99 and 0.77-1.27, respectively, whereas the respective values were 1.00 and 0.76-1.32 for the recessive model. In the dominant contrast model, OR and 95% CI were 1.09 and 0.62-1.90, while the same were 0.93 and 0.77-1.12 for the overdominant model. A funnel plot was used to reanalyze and detect the results as statically satisfactory. <b><i>Conclusions:</i></b> As a result of the data obtained, the <i>TIMP2</i> gene polymorphism does not correlate statistically with cancer risk. The significance of this finding can only be confirmed using a large population, extensive epidemiological research, a comprehensive survey, and a better understanding of the molecular pathways associated.</p>\",\"PeriodicalId\":12603,\"journal\":{\"name\":\"Genetic testing and molecular biomarkers\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetic testing and molecular biomarkers\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1089/gtmb.2023.0457\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetic testing and molecular biomarkers","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1089/gtmb.2023.0457","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/13 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

目的:基质金属蛋白酶(MMPs)可抑制金属蛋白酶组织抑制物(TIMPs),在各种生物过程中发挥着显著作用,而 TIMP2 基因突变会影响多种泌尿系统癌症。本研究分析和评估了 TIMP2 418 G/C 和 MMP 基因多态性在泌尿系统癌症病因中的潜在参与。研究方法为了寻找合适的病例对照研究,我们从 PubMed、EMBASE 和 Google Scholar 等各种数据库来源进行了文献检索。纳入分析的是记录了 TIMP2 418 G/C 与泌尿系统癌症之间相关性的病例对照或队列研究。MetaGenyo 是进行荟萃分析的工具,采用固定效应模型。为了评估所观察到的关联的稳健性,我们计算并展示了总的几率比及其相应的 95% 置信区间。研究结果在记录的 1265 例对照和 1154 例病例中,共分析了 7 项涉及对照和病例的研究,以确定 TIMP2 基因与泌尿系统癌症的显著关联。在所调查的基因变异的等位基因、隐性、显性和超显性模型之间没有观察到统计学意义上的明显相关性。考虑到 p 值,计算出了每个模型的 95% 置信区间(CI)和几率比(OR):从获得的数据来看,TIMP2 基因多态性与癌症风险没有统计学关联。只有通过大量人群、广泛的流行病学研究、全面的调查以及对相关分子途径的深入了解,才能证实这一发现的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Association of TIMP2 418 G/C and MMP Gene Polymorphism with Risk of Urinary Cancers: Systematic Review and Meta-analysis.

Aim: The matrix metalloproteinases (MMPs) inhibit tissue inhibitors of metalloproteinases (TIMPs), playing a notable role in various biological processes, and mutations in TIMP2 genes impact a variety of urinary cancers. In this study, we analyze and evaluate the potential involvement of the TIMP2 418 G/C and MMP gene polymorphism in the etiology of urinary cancer. Methodology: For suitable case-control studies, a literature search was undertaken from various database sources such as PubMed, EMBASE, and Google Scholar. Incorporated into the analysis were case-control or cohort studies that documented the correlation between TIMP2 418 G/C and urological cancers. MetaGenyo served as the tool for conducting the meta-analysis, employing a fixed-effects model. The collective odds ratios, along with their corresponding 95% confidence intervals, were calculated and presented to assess the robustness of the observed associations. Results: A total of seven studies involving controls and cases out of recorded 1265 controls and 1154 cases were analyzed to ascertain the significant association of the TIMP2 gene with urologic cancer. No statistically significant correlation was observed between allelic, recessive, dominant, and overdominant models for the genetic variant under investigation. A 95% confidence interval (CI) and odds ratio (OR) were computed for each model, considering p-values <0.05. The OR and 95% CI for the allelic model were 0.99 and 0.77-1.27, respectively, whereas the respective values were 1.00 and 0.76-1.32 for the recessive model. In the dominant contrast model, OR and 95% CI were 1.09 and 0.62-1.90, while the same were 0.93 and 0.77-1.12 for the overdominant model. A funnel plot was used to reanalyze and detect the results as statically satisfactory. Conclusions: As a result of the data obtained, the TIMP2 gene polymorphism does not correlate statistically with cancer risk. The significance of this finding can only be confirmed using a large population, extensive epidemiological research, a comprehensive survey, and a better understanding of the molecular pathways associated.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.50
自引率
7.10%
发文量
63
审稿时长
1 months
期刊介绍: Genetic Testing and Molecular Biomarkers is the leading peer-reviewed journal covering all aspects of human genetic testing including molecular biomarkers. The Journal provides a forum for the development of new technology; the application of testing to decision making in an increasingly varied set of clinical situations; ethical, legal, social, and economic aspects of genetic testing; and issues concerning effective genetic counseling. This is the definitive resource for researchers, clinicians, and scientists who develop, perform, and interpret genetic tests and their results. Genetic Testing and Molecular Biomarkers coverage includes: -Diagnosis across the life span- Risk assessment- Carrier detection in individuals, couples, and populations- Novel methods and new instrumentation for genetic testing- Results of molecular, biochemical, and cytogenetic testing- Genetic counseling
期刊最新文献
Relationship Between IL-10 Single Nucleotide Polymorphisms (rs1800871, rs1800872, and rs1800896) and the Severity of COVID-19. Kawasaki Disease: An update on Genetics and Pathophysiology. A C->T Variation in 3'-Untranslated Region Elevates MED12 Protein Level in Breast Cancer That Relates to Better Prognosis. Association Study of 3-untranslated region Haplotype of Human leukocyte antigen-G Gene with Lupus. Identification of a Homozygous Mutation of CCDC40 in a Chinese Infertile Man with MMAF and PCD-like Phenotypes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1