Do genetic polymorphisms of the vitamin D receptor contribute to breast/ovarian cancer? A systematic review and network meta-analysis
To identify the most suitable genetic model for detecting the risk of breast cancer (BC)/ovarian cancer (OC) in specific populations. Databases were searched for related studies published up to October 2017. First, VDR genetic polymorphisms were compared in patients with and without cancer. Second,...
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| Veröffentlicht in: | Gene 2018-11, Vol.677, p.211-227 |
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| creator | Li, Jiaqi Li, Bo Jiang, Qiyu Zhang, Yingshi Liu, Aixia Wang, Huan Zhang, Juling Qin, Qin Hong, Zhixian Li, Bo-an |
| description | To identify the most suitable genetic model for detecting the risk of breast cancer (BC)/ovarian cancer (OC) in specific populations.
Databases were searched for related studies published up to October 2017. First, VDR genetic polymorphisms were compared in patients with and without cancer. Second, a network meta-analysis was used to reveal the relation between VDR genetic polymorphisms with disease outcomes. Subgroup analyses and a meta-regression were performed according to cancer types, ethnicity and genotypic method. The study is registered in PROSPERO with an ID: CRD42017075505.
Forty-five studies were eligible, which included 65,754 patients and 55 clinical analyses. Of genetic models, results suggested that the recessive model with the CDX2 polymorphism predicted the risk of BC in all cases. The recessive polymorphism model with the rs2228570 (FokI) polymorphism seemed to the best predictor of BC in Caucasian patients, whereas the homozygote model with the CDX2 polymorphism appeared to best predict BC in African-American patients. The homozygote model with the rs2228570 (FokI) polymorphism model appeared to detect the risk of OC in all cases, whereas the heterozygote model with the rs1544410 (BsmI) polymorphism seemed to detect the risk of OC in Caucasian patients.
By detecting the risk of BC, the recessive model with the rs2228570 (FokI) polymorphism is likely the best genetic model in Caucasian patients, and the homozygote model with the CDX2 polymorphism appears to be best genetic model in African-American patients. Moreover, for detecting clinical risk of OC, heterozygote models with the rs1544410 (BsmI) polymorphism is likely the best genetic model for detecting the risk of OC in Caucasian patients.
•Vitamin D (VD) is responded to VD receptor (VDR) and exerts anti-proliferative efficiency.•Reveal the relationship between genetic polymorphisms of VDR and gynecological cancers•Identify the most suitable genetic model of VDR for detecting in a specific population |
| doi_str_mv | 10.1016/j.gene.2018.07.070 |
| format | Article |
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Databases were searched for related studies published up to October 2017. First, VDR genetic polymorphisms were compared in patients with and without cancer. Second, a network meta-analysis was used to reveal the relation between VDR genetic polymorphisms with disease outcomes. Subgroup analyses and a meta-regression were performed according to cancer types, ethnicity and genotypic method. The study is registered in PROSPERO with an ID: CRD42017075505.
Forty-five studies were eligible, which included 65,754 patients and 55 clinical analyses. Of genetic models, results suggested that the recessive model with the CDX2 polymorphism predicted the risk of BC in all cases. The recessive polymorphism model with the rs2228570 (FokI) polymorphism seemed to the best predictor of BC in Caucasian patients, whereas the homozygote model with the CDX2 polymorphism appeared to best predict BC in African-American patients. The homozygote model with the rs2228570 (FokI) polymorphism model appeared to detect the risk of OC in all cases, whereas the heterozygote model with the rs1544410 (BsmI) polymorphism seemed to detect the risk of OC in Caucasian patients.
By detecting the risk of BC, the recessive model with the rs2228570 (FokI) polymorphism is likely the best genetic model in Caucasian patients, and the homozygote model with the CDX2 polymorphism appears to be best genetic model in African-American patients. Moreover, for detecting clinical risk of OC, heterozygote models with the rs1544410 (BsmI) polymorphism is likely the best genetic model for detecting the risk of OC in Caucasian patients.
•Vitamin D (VD) is responded to VD receptor (VDR) and exerts anti-proliferative efficiency.•Reveal the relationship between genetic polymorphisms of VDR and gynecological cancers•Identify the most suitable genetic model of VDR for detecting in a specific population</description><identifier>ISSN: 0378-1119</identifier><identifier>EISSN: 1879-0038</identifier><identifier>DOI: 10.1016/j.gene.2018.07.070</identifier><identifier>PMID: 30059751</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Breast cancer ; Breast Neoplasms - genetics ; Case-Control Studies ; Female ; Genetic Predisposition to Disease - genetics ; Humans ; Network Meta-Analysis ; Ovarian cancer ; Ovarian Neoplasms - genetics ; Polymorphism, Genetic - genetics ; Polymorphisms ; Receptors, Calcitriol - genetics ; Risk ; Vitamin D receptor</subject><ispartof>Gene, 2018-11, Vol.677, p.211-227</ispartof><rights>2018</rights><rights>Copyright © 2018. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-f74802d3a0b698b021a61dcb4f0486e8f1543da7c5caa08487d74c2754ba5d833</citedby><cites>FETCH-LOGICAL-c356t-f74802d3a0b698b021a61dcb4f0486e8f1543da7c5caa08487d74c2754ba5d833</cites><orcidid>0000-0002-6562-2906</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.gene.2018.07.070$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30059751$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Jiaqi</creatorcontrib><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Jiang, Qiyu</creatorcontrib><creatorcontrib>Zhang, Yingshi</creatorcontrib><creatorcontrib>Liu, Aixia</creatorcontrib><creatorcontrib>Wang, Huan</creatorcontrib><creatorcontrib>Zhang, Juling</creatorcontrib><creatorcontrib>Qin, Qin</creatorcontrib><creatorcontrib>Hong, Zhixian</creatorcontrib><creatorcontrib>Li, Bo-an</creatorcontrib><title>Do genetic polymorphisms of the vitamin D receptor contribute to breast/ovarian cancer? A systematic review and network meta-analysis</title><title>Gene</title><addtitle>Gene</addtitle><description>To identify the most suitable genetic model for detecting the risk of breast cancer (BC)/ovarian cancer (OC) in specific populations.
Databases were searched for related studies published up to October 2017. First, VDR genetic polymorphisms were compared in patients with and without cancer. Second, a network meta-analysis was used to reveal the relation between VDR genetic polymorphisms with disease outcomes. Subgroup analyses and a meta-regression were performed according to cancer types, ethnicity and genotypic method. The study is registered in PROSPERO with an ID: CRD42017075505.
Forty-five studies were eligible, which included 65,754 patients and 55 clinical analyses. Of genetic models, results suggested that the recessive model with the CDX2 polymorphism predicted the risk of BC in all cases. The recessive polymorphism model with the rs2228570 (FokI) polymorphism seemed to the best predictor of BC in Caucasian patients, whereas the homozygote model with the CDX2 polymorphism appeared to best predict BC in African-American patients. The homozygote model with the rs2228570 (FokI) polymorphism model appeared to detect the risk of OC in all cases, whereas the heterozygote model with the rs1544410 (BsmI) polymorphism seemed to detect the risk of OC in Caucasian patients.
By detecting the risk of BC, the recessive model with the rs2228570 (FokI) polymorphism is likely the best genetic model in Caucasian patients, and the homozygote model with the CDX2 polymorphism appears to be best genetic model in African-American patients. Moreover, for detecting clinical risk of OC, heterozygote models with the rs1544410 (BsmI) polymorphism is likely the best genetic model for detecting the risk of OC in Caucasian patients.
•Vitamin D (VD) is responded to VD receptor (VDR) and exerts anti-proliferative efficiency.•Reveal the relationship between genetic polymorphisms of VDR and gynecological cancers•Identify the most suitable genetic model of VDR for detecting in a specific population</description><subject>Breast cancer</subject><subject>Breast Neoplasms - genetics</subject><subject>Case-Control Studies</subject><subject>Female</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Humans</subject><subject>Network Meta-Analysis</subject><subject>Ovarian cancer</subject><subject>Ovarian Neoplasms - genetics</subject><subject>Polymorphism, Genetic - genetics</subject><subject>Polymorphisms</subject><subject>Receptors, Calcitriol - genetics</subject><subject>Risk</subject><subject>Vitamin D receptor</subject><issn>0378-1119</issn><issn>1879-0038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1u1DAURi0EokPhBVggL9lkeh0nsUdCQlXLn1SJDaytG_uGekjiYHummgfgvXE0hSXWlezF950rH8ZeC9gKEN3VfvuDZtrWIPQWVBl4wjZCq10FIPVTtgGpdCWE2F2wFyntoZy2rZ-zC1keO9WKDft9G_hKyd7yJYynKcTl3qcp8TDwfE_86DNOfua3PJKlJYfIbZhz9P0hE8-B95Ew5atwxOhx5hZnS_E9v-bplDJNuJIjHT09cJwdL6seQvzJJ8pY4YzjKfn0kj0bcEz06vG-ZN8_fvh287m6-_rpy831XWVl2-VqUI2G2kmEvtvpHmqBnXC2bwZodEd6EG0jHSrbWkTQjVZONbZWbdNj67SUl-ztmbvE8OtAKZvJJ0vjiDOFQzI16FJTsluj9TlqY0gp0mCW6CeMJyPArPrN3qzizKrfgCoDpfTmkX_oJ3L_Kn99l8C7c4DKL4uTaJL1VIw5X_Rm44L_H_8PHZmYng</recordid><startdate>20181130</startdate><enddate>20181130</enddate><creator>Li, Jiaqi</creator><creator>Li, Bo</creator><creator>Jiang, Qiyu</creator><creator>Zhang, Yingshi</creator><creator>Liu, Aixia</creator><creator>Wang, Huan</creator><creator>Zhang, Juling</creator><creator>Qin, Qin</creator><creator>Hong, Zhixian</creator><creator>Li, Bo-an</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6562-2906</orcidid></search><sort><creationdate>20181130</creationdate><title>Do genetic polymorphisms of the vitamin D receptor contribute to breast/ovarian cancer? A systematic review and network meta-analysis</title><author>Li, Jiaqi ; Li, Bo ; Jiang, Qiyu ; Zhang, Yingshi ; Liu, Aixia ; Wang, Huan ; Zhang, Juling ; Qin, Qin ; Hong, Zhixian ; Li, Bo-an</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-f74802d3a0b698b021a61dcb4f0486e8f1543da7c5caa08487d74c2754ba5d833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Breast cancer</topic><topic>Breast Neoplasms - genetics</topic><topic>Case-Control Studies</topic><topic>Female</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>Humans</topic><topic>Network Meta-Analysis</topic><topic>Ovarian cancer</topic><topic>Ovarian Neoplasms - genetics</topic><topic>Polymorphism, Genetic - genetics</topic><topic>Polymorphisms</topic><topic>Receptors, Calcitriol - genetics</topic><topic>Risk</topic><topic>Vitamin D receptor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jiaqi</creatorcontrib><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Jiang, Qiyu</creatorcontrib><creatorcontrib>Zhang, Yingshi</creatorcontrib><creatorcontrib>Liu, Aixia</creatorcontrib><creatorcontrib>Wang, Huan</creatorcontrib><creatorcontrib>Zhang, Juling</creatorcontrib><creatorcontrib>Qin, Qin</creatorcontrib><creatorcontrib>Hong, Zhixian</creatorcontrib><creatorcontrib>Li, Bo-an</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Gene</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jiaqi</au><au>Li, Bo</au><au>Jiang, Qiyu</au><au>Zhang, Yingshi</au><au>Liu, Aixia</au><au>Wang, Huan</au><au>Zhang, Juling</au><au>Qin, Qin</au><au>Hong, Zhixian</au><au>Li, Bo-an</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do genetic polymorphisms of the vitamin D receptor contribute to breast/ovarian cancer? A systematic review and network meta-analysis</atitle><jtitle>Gene</jtitle><addtitle>Gene</addtitle><date>2018-11-30</date><risdate>2018</risdate><volume>677</volume><spage>211</spage><epage>227</epage><pages>211-227</pages><issn>0378-1119</issn><eissn>1879-0038</eissn><abstract>To identify the most suitable genetic model for detecting the risk of breast cancer (BC)/ovarian cancer (OC) in specific populations.
Databases were searched for related studies published up to October 2017. First, VDR genetic polymorphisms were compared in patients with and without cancer. Second, a network meta-analysis was used to reveal the relation between VDR genetic polymorphisms with disease outcomes. Subgroup analyses and a meta-regression were performed according to cancer types, ethnicity and genotypic method. The study is registered in PROSPERO with an ID: CRD42017075505.
Forty-five studies were eligible, which included 65,754 patients and 55 clinical analyses. Of genetic models, results suggested that the recessive model with the CDX2 polymorphism predicted the risk of BC in all cases. The recessive polymorphism model with the rs2228570 (FokI) polymorphism seemed to the best predictor of BC in Caucasian patients, whereas the homozygote model with the CDX2 polymorphism appeared to best predict BC in African-American patients. The homozygote model with the rs2228570 (FokI) polymorphism model appeared to detect the risk of OC in all cases, whereas the heterozygote model with the rs1544410 (BsmI) polymorphism seemed to detect the risk of OC in Caucasian patients.
By detecting the risk of BC, the recessive model with the rs2228570 (FokI) polymorphism is likely the best genetic model in Caucasian patients, and the homozygote model with the CDX2 polymorphism appears to be best genetic model in African-American patients. Moreover, for detecting clinical risk of OC, heterozygote models with the rs1544410 (BsmI) polymorphism is likely the best genetic model for detecting the risk of OC in Caucasian patients.
•Vitamin D (VD) is responded to VD receptor (VDR) and exerts anti-proliferative efficiency.•Reveal the relationship between genetic polymorphisms of VDR and gynecological cancers•Identify the most suitable genetic model of VDR for detecting in a specific population</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>30059751</pmid><doi>10.1016/j.gene.2018.07.070</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-6562-2906</orcidid></addata></record> |
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| source | Elsevier ScienceDirect Journals Complete - AutoHoldings; MEDLINE |
| subjects | Breast cancer Breast Neoplasms - genetics Case-Control Studies Female Genetic Predisposition to Disease - genetics Humans Network Meta-Analysis Ovarian cancer Ovarian Neoplasms - genetics Polymorphism, Genetic - genetics Polymorphisms Receptors, Calcitriol - genetics Risk Vitamin D receptor |
| title | Do genetic polymorphisms of the vitamin D receptor contribute to breast/ovarian cancer? A systematic review and network meta-analysis |
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