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Association between genetic polymorphisms and endometrial cancer risk: a systematic review
INTRODUCTION: Endometrial cancer is one of the most commonly diagnosed cancers in women. Although there is a hereditary component to endometrial cancer, most cases are thought to be sporadic and lifestyle related. The aim of this study was to systematically review prospective and retrospective case–...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476276/ https://www.ncbi.nlm.nih.gov/pubmed/32066633 http://dx.doi.org/10.1136/jmedgenet-2019-106529 |
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author | Bafligil, Cemsel Thompson, Deborah J Lophatananon, Artitaya Smith, Miriam J Ryan, Neil AJ Naqvi, Anie Evans, D Gareth Crosbie, Emma J |
author_facet | Bafligil, Cemsel Thompson, Deborah J Lophatananon, Artitaya Smith, Miriam J Ryan, Neil AJ Naqvi, Anie Evans, D Gareth Crosbie, Emma J |
author_sort | Bafligil, Cemsel |
collection | PubMed |
description | INTRODUCTION: Endometrial cancer is one of the most commonly diagnosed cancers in women. Although there is a hereditary component to endometrial cancer, most cases are thought to be sporadic and lifestyle related. The aim of this study was to systematically review prospective and retrospective case–control studies, meta-analyses and genome-wide association studies to identify genomic variants that may be associated with endometrial cancer risk. METHODS: We searched MEDLINE, Embase and CINAHL from 2007 to 2019 without restrictions. We followed PRISMA 2009 guidelines. The search yielded 3015 hits in total. Following duplicate exclusion, 2674 abstracts were screened and 453 full-texts evaluated based on our pre-defined screening criteria. 149 articles were eligible for inclusion. RESULTS: We found that single nucleotide polymorphisms (SNPs) in HNF1B, KLF, EIF2AK, CYP19A1, SOX4 and MYC were strongly associated with incident endometrial cancer. Nineteen variants were reported with genome-wide significance and a further five with suggestive significance. No convincing evidence was found for the widely studied MDM2 variant rs2279744. Publication bias and false discovery rates were noted throughout the literature. CONCLUSION: Endometrial cancer risk may be influenced by SNPs in genes involved in cell survival, oestrogen metabolism and transcriptional control. Larger cohorts are needed to identify more variants with genome-wide significance. |
format | Online Article Text |
id | pubmed-7476276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74762762020-09-30 Association between genetic polymorphisms and endometrial cancer risk: a systematic review Bafligil, Cemsel Thompson, Deborah J Lophatananon, Artitaya Smith, Miriam J Ryan, Neil AJ Naqvi, Anie Evans, D Gareth Crosbie, Emma J J Med Genet Cancer Genetics INTRODUCTION: Endometrial cancer is one of the most commonly diagnosed cancers in women. Although there is a hereditary component to endometrial cancer, most cases are thought to be sporadic and lifestyle related. The aim of this study was to systematically review prospective and retrospective case–control studies, meta-analyses and genome-wide association studies to identify genomic variants that may be associated with endometrial cancer risk. METHODS: We searched MEDLINE, Embase and CINAHL from 2007 to 2019 without restrictions. We followed PRISMA 2009 guidelines. The search yielded 3015 hits in total. Following duplicate exclusion, 2674 abstracts were screened and 453 full-texts evaluated based on our pre-defined screening criteria. 149 articles were eligible for inclusion. RESULTS: We found that single nucleotide polymorphisms (SNPs) in HNF1B, KLF, EIF2AK, CYP19A1, SOX4 and MYC were strongly associated with incident endometrial cancer. Nineteen variants were reported with genome-wide significance and a further five with suggestive significance. No convincing evidence was found for the widely studied MDM2 variant rs2279744. Publication bias and false discovery rates were noted throughout the literature. CONCLUSION: Endometrial cancer risk may be influenced by SNPs in genes involved in cell survival, oestrogen metabolism and transcriptional control. Larger cohorts are needed to identify more variants with genome-wide significance. BMJ Publishing Group 2020-09 2020-02-17 /pmc/articles/PMC7476276/ /pubmed/32066633 http://dx.doi.org/10.1136/jmedgenet-2019-106529 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Cancer Genetics Bafligil, Cemsel Thompson, Deborah J Lophatananon, Artitaya Smith, Miriam J Ryan, Neil AJ Naqvi, Anie Evans, D Gareth Crosbie, Emma J Association between genetic polymorphisms and endometrial cancer risk: a systematic review |
title | Association between genetic polymorphisms and endometrial cancer risk: a systematic review |
title_full | Association between genetic polymorphisms and endometrial cancer risk: a systematic review |
title_fullStr | Association between genetic polymorphisms and endometrial cancer risk: a systematic review |
title_full_unstemmed | Association between genetic polymorphisms and endometrial cancer risk: a systematic review |
title_short | Association between genetic polymorphisms and endometrial cancer risk: a systematic review |
title_sort | association between genetic polymorphisms and endometrial cancer risk: a systematic review |
topic | Cancer Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476276/ https://www.ncbi.nlm.nih.gov/pubmed/32066633 http://dx.doi.org/10.1136/jmedgenet-2019-106529 |
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