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Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis

BACKGROUND: Breast cancer has recently become one of the most common causes of cancer-related deaths, and several studies have suggested that genetic polymorphisms in the folate metabolism pathway may be associated with susceptibility to breast cancer, although their results have been inconsistent o...

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Autores principales: Wang, Chuan, Tong, Chuan-Ming, Zhang, Yuan, Chen, Guo-Xiu, Xiong, Feng, Wang, Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360487/
https://www.ncbi.nlm.nih.gov/pubmed/34397937
http://dx.doi.org/10.1097/MD.0000000000026926
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author Wang, Chuan
Tong, Chuan-Ming
Zhang, Yuan
Chen, Guo-Xiu
Xiong, Feng
Wang, Ju
author_facet Wang, Chuan
Tong, Chuan-Ming
Zhang, Yuan
Chen, Guo-Xiu
Xiong, Feng
Wang, Ju
author_sort Wang, Chuan
collection PubMed
description BACKGROUND: Breast cancer has recently become one of the most common causes of cancer-related deaths, and several studies have suggested that genetic polymorphisms in the folate metabolism pathway may be associated with susceptibility to breast cancer, although their results have been inconsistent or inconclusive. Therefore, the aim of this meta-analysis was to obtain accurate, consistent conclusions regarding the potential associations of genetic polymorphisms in the folate metabolism pathway with the risk of breast cancer, based on case-controlled studies. METHODS: From the beginning of database establishment through May 2021, we indexed and searched domestic and foreign databases, including the Chinese National Knowledge Infrastructure, Web of Science, VIP and BioMedical Database of China, PubMed, EMBASE, Wanfang database, and the Cochrane Library. To determine the effects of folate metabolism-related genetic polymorphisms on breast cancer risk, we used Stata version 16.0 to analyze all data and calculated variable odds ratios and 95% confidence intervals. RESULTS: The findings of the current meta-analysis are going to be presented to peer-reviewed journals for publication when the analysis is completed. CONCLUSION: The meta-analysis will summarize the association of genetic polymorphisms in the folate metabolism pathway with breast cancer. REGISTRATION NUMBER: May 26, 2021.osf.io/25r48. (https://osf.io/25r48/).
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spelling pubmed-83604872021-08-17 Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis Wang, Chuan Tong, Chuan-Ming Zhang, Yuan Chen, Guo-Xiu Xiong, Feng Wang, Ju Medicine (Baltimore) 4200 BACKGROUND: Breast cancer has recently become one of the most common causes of cancer-related deaths, and several studies have suggested that genetic polymorphisms in the folate metabolism pathway may be associated with susceptibility to breast cancer, although their results have been inconsistent or inconclusive. Therefore, the aim of this meta-analysis was to obtain accurate, consistent conclusions regarding the potential associations of genetic polymorphisms in the folate metabolism pathway with the risk of breast cancer, based on case-controlled studies. METHODS: From the beginning of database establishment through May 2021, we indexed and searched domestic and foreign databases, including the Chinese National Knowledge Infrastructure, Web of Science, VIP and BioMedical Database of China, PubMed, EMBASE, Wanfang database, and the Cochrane Library. To determine the effects of folate metabolism-related genetic polymorphisms on breast cancer risk, we used Stata version 16.0 to analyze all data and calculated variable odds ratios and 95% confidence intervals. RESULTS: The findings of the current meta-analysis are going to be presented to peer-reviewed journals for publication when the analysis is completed. CONCLUSION: The meta-analysis will summarize the association of genetic polymorphisms in the folate metabolism pathway with breast cancer. REGISTRATION NUMBER: May 26, 2021.osf.io/25r48. (https://osf.io/25r48/). Lippincott Williams & Wilkins 2021-08-13 /pmc/articles/PMC8360487/ /pubmed/34397937 http://dx.doi.org/10.1097/MD.0000000000026926 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 4200
Wang, Chuan
Tong, Chuan-Ming
Zhang, Yuan
Chen, Guo-Xiu
Xiong, Feng
Wang, Ju
Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis
title Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis
title_full Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis
title_fullStr Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis
title_full_unstemmed Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis
title_short Association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: A protocol for a systematic review and meta-analysis
title_sort association of folate metabolism-related genetic polymorphisms with susceptibility to breast cancer: a protocol for a systematic review and meta-analysis
topic 4200
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360487/
https://www.ncbi.nlm.nih.gov/pubmed/34397937
http://dx.doi.org/10.1097/MD.0000000000026926
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