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Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women

BACKGROUND: Endometrial cancer is the most common gynecologic malignancy worldwide. Polymorphisms in MALAT1 have been demonstrated to play critical roles in cancer. However, the roles of MALAT1 polymorphisms in the etiology of endometrial cancer have not been well documented. METHODS: We genotyped t...

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Autores principales: Chen, Guange, Zhang, Mingyao, Liang, Zongwen, Chen, Sailing, Chen, Feng, Zhu, Jiawei, Zhao, Manman, He, Jing, Hua, Wenfeng, Duan, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171330/
https://www.ncbi.nlm.nih.gov/pubmed/31880028
http://dx.doi.org/10.1002/jcla.23146
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author Chen, Guange
Zhang, Mingyao
Liang, Zongwen
Chen, Sailing
Chen, Feng
Zhu, Jiawei
Zhao, Manman
He, Jing
Hua, Wenfeng
Duan, Ping
author_facet Chen, Guange
Zhang, Mingyao
Liang, Zongwen
Chen, Sailing
Chen, Feng
Zhu, Jiawei
Zhao, Manman
He, Jing
Hua, Wenfeng
Duan, Ping
author_sort Chen, Guange
collection PubMed
description BACKGROUND: Endometrial cancer is the most common gynecologic malignancy worldwide. Polymorphisms in MALAT1 have been demonstrated to play critical roles in cancer. However, the roles of MALAT1 polymorphisms in the etiology of endometrial cancer have not been well documented. METHODS: We genotyped three MALAT1 polymorphisms in 249 endometrial cancer cases and 446 cancer‐free female controls using quantitative polymerase chain reaction with TaqMan probes. To estimate the association between MALAT1 polymorphisms (rs591291 C>T, rs664589 C>G, and rs4102217 G>C) and the risk of endometrial cancer, an unconditional logistic regression model was conducted to calculate the odds ratio (OR) and the 95% confidence interval (CI), adjusting for surgery history, menopause, number of deliveries, BMI, and FIGO stage. RESULTS: We found that the MALAT1 rs664589 C>G polymorphism was significantly associated with endometrial cancer risk (heterogeneous: adjusted OR = 0.57, 95% CI = 0.34‐0.93, P = .026; homogenous: adjusted OR = 3.74, 95% CI = 1.12‐12.45, P = .032; and recessive: adjusted OR = 4.06, 95% CI = 1.22‐13.48, P = .022). Stratified analysis further demonstrated that the MALAT1 rs664589 C>G polymorphism significantly increased the risk of endometrial cancer susceptibility in patients with no history of surgery, more deliveries, BMI between 25 and 29.9, and FIGO stages II‐III. Compared with the wild‐type GCG haplotype carriers, individuals with CGG haplotypes had a higher risk of developing endometrial cancer. CONCLUSION: The MALAT1 rs664589 C>G polymorphism was associated with a significant increase in endometrial cancer risk.
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spelling pubmed-71713302020-04-21 Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women Chen, Guange Zhang, Mingyao Liang, Zongwen Chen, Sailing Chen, Feng Zhu, Jiawei Zhao, Manman He, Jing Hua, Wenfeng Duan, Ping J Clin Lab Anal Research Articles BACKGROUND: Endometrial cancer is the most common gynecologic malignancy worldwide. Polymorphisms in MALAT1 have been demonstrated to play critical roles in cancer. However, the roles of MALAT1 polymorphisms in the etiology of endometrial cancer have not been well documented. METHODS: We genotyped three MALAT1 polymorphisms in 249 endometrial cancer cases and 446 cancer‐free female controls using quantitative polymerase chain reaction with TaqMan probes. To estimate the association between MALAT1 polymorphisms (rs591291 C>T, rs664589 C>G, and rs4102217 G>C) and the risk of endometrial cancer, an unconditional logistic regression model was conducted to calculate the odds ratio (OR) and the 95% confidence interval (CI), adjusting for surgery history, menopause, number of deliveries, BMI, and FIGO stage. RESULTS: We found that the MALAT1 rs664589 C>G polymorphism was significantly associated with endometrial cancer risk (heterogeneous: adjusted OR = 0.57, 95% CI = 0.34‐0.93, P = .026; homogenous: adjusted OR = 3.74, 95% CI = 1.12‐12.45, P = .032; and recessive: adjusted OR = 4.06, 95% CI = 1.22‐13.48, P = .022). Stratified analysis further demonstrated that the MALAT1 rs664589 C>G polymorphism significantly increased the risk of endometrial cancer susceptibility in patients with no history of surgery, more deliveries, BMI between 25 and 29.9, and FIGO stages II‐III. Compared with the wild‐type GCG haplotype carriers, individuals with CGG haplotypes had a higher risk of developing endometrial cancer. CONCLUSION: The MALAT1 rs664589 C>G polymorphism was associated with a significant increase in endometrial cancer risk. John Wiley and Sons Inc. 2019-12-27 /pmc/articles/PMC7171330/ /pubmed/31880028 http://dx.doi.org/10.1002/jcla.23146 Text en © 2019 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Chen, Guange
Zhang, Mingyao
Liang, Zongwen
Chen, Sailing
Chen, Feng
Zhu, Jiawei
Zhao, Manman
He, Jing
Hua, Wenfeng
Duan, Ping
Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women
title Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women
title_full Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women
title_fullStr Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women
title_full_unstemmed Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women
title_short Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women
title_sort association of polymorphisms in malat1 with the risk of endometrial cancer in southern chinese women
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171330/
https://www.ncbi.nlm.nih.gov/pubmed/31880028
http://dx.doi.org/10.1002/jcla.23146
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