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TERT rs10069690 polymorphism and cancers risk: A meta‐analysis

BACKGROUND: Studies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive. METHODS: To provide a more precise estimation of the relationship, we performed a meta‐analysis of 45 publis...

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Autores principales: He, Guisheng, Song, Tao, Zhang, Yazhen, Chen, Xiuxiu, Xiong, Wei, Chen, Huamin, Sun, Chuanwei, Zhao, Chaoyang, Chen, Yunjing, Wu, Huangfu
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/PMC6785442/
https://www.ncbi.nlm.nih.gov/pubmed/31454181
http://dx.doi.org/10.1002/mgg3.903
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author He, Guisheng
Song, Tao
Zhang, Yazhen
Chen, Xiuxiu
Xiong, Wei
Chen, Huamin
Sun, Chuanwei
Zhao, Chaoyang
Chen, Yunjing
Wu, Huangfu
author_facet He, Guisheng
Song, Tao
Zhang, Yazhen
Chen, Xiuxiu
Xiong, Wei
Chen, Huamin
Sun, Chuanwei
Zhao, Chaoyang
Chen, Yunjing
Wu, Huangfu
author_sort He, Guisheng
collection PubMed
description BACKGROUND: Studies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive. METHODS: To provide a more precise estimation of the relationship, we performed a meta‐analysis of 45 published studies including 329,035 cases and 730,940 controls. We conducted a search in PubMed, Google Scholar and Web of Science to select studies on the association between rs10069690 and cancer risk. Stratification by ethnicity, cancer type, cancers’ classification, source of control, sample size, and genotype method was used to explore the source of heterogeneity. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated using random effects models. Sensitivity, publication bias, false‐positive report probability (FPRP) and statistical power were also assessed. RESULTS: The result demonstrated that rs10069690 was significantly associated with an increased risk of cancer overall (OR = 1.09, 95% CI: 1.06–1.12, p < .001) under the allele model. Stratification analysis revealed an increased cancer risk in subgroups of breast cancer, ovarian cancer, lung cancer, thyroid cancer, and renal cell carcinoma (RCC). However, a significantly decreased association was observed in pancreatic cancer in the European population (OR = 0.93,95% CI: 0.87–0.99, p = .031). In the subgroup analysis based on cancer type, no significant association was found in prostate cancer, leukemia, colorectal cancer and glioma. CONCLUSIONS: This meta‐analysis suggested that the TERT rs10069690 polymorphism may be a risk factor for cancer, especially breast cancer, ovarian cancer, lung cancer, thyroid cancer, and RCC. Further functional studies are warranted to reveal the role of the polymorphism in carcinogenesis.
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spelling pubmed-67854422019-10-17 TERT rs10069690 polymorphism and cancers risk: A meta‐analysis He, Guisheng Song, Tao Zhang, Yazhen Chen, Xiuxiu Xiong, Wei Chen, Huamin Sun, Chuanwei Zhao, Chaoyang Chen, Yunjing Wu, Huangfu Mol Genet Genomic Med Original Articles BACKGROUND: Studies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive. METHODS: To provide a more precise estimation of the relationship, we performed a meta‐analysis of 45 published studies including 329,035 cases and 730,940 controls. We conducted a search in PubMed, Google Scholar and Web of Science to select studies on the association between rs10069690 and cancer risk. Stratification by ethnicity, cancer type, cancers’ classification, source of control, sample size, and genotype method was used to explore the source of heterogeneity. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated using random effects models. Sensitivity, publication bias, false‐positive report probability (FPRP) and statistical power were also assessed. RESULTS: The result demonstrated that rs10069690 was significantly associated with an increased risk of cancer overall (OR = 1.09, 95% CI: 1.06–1.12, p < .001) under the allele model. Stratification analysis revealed an increased cancer risk in subgroups of breast cancer, ovarian cancer, lung cancer, thyroid cancer, and renal cell carcinoma (RCC). However, a significantly decreased association was observed in pancreatic cancer in the European population (OR = 0.93,95% CI: 0.87–0.99, p = .031). In the subgroup analysis based on cancer type, no significant association was found in prostate cancer, leukemia, colorectal cancer and glioma. CONCLUSIONS: This meta‐analysis suggested that the TERT rs10069690 polymorphism may be a risk factor for cancer, especially breast cancer, ovarian cancer, lung cancer, thyroid cancer, and RCC. Further functional studies are warranted to reveal the role of the polymorphism in carcinogenesis. John Wiley and Sons Inc. 2019-08-27 /pmc/articles/PMC6785442/ /pubmed/31454181 http://dx.doi.org/10.1002/mgg3.903 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine 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 Original Articles
He, Guisheng
Song, Tao
Zhang, Yazhen
Chen, Xiuxiu
Xiong, Wei
Chen, Huamin
Sun, Chuanwei
Zhao, Chaoyang
Chen, Yunjing
Wu, Huangfu
TERT rs10069690 polymorphism and cancers risk: A meta‐analysis
title TERT rs10069690 polymorphism and cancers risk: A meta‐analysis
title_full TERT rs10069690 polymorphism and cancers risk: A meta‐analysis
title_fullStr TERT rs10069690 polymorphism and cancers risk: A meta‐analysis
title_full_unstemmed TERT rs10069690 polymorphism and cancers risk: A meta‐analysis
title_short TERT rs10069690 polymorphism and cancers risk: A meta‐analysis
title_sort tert rs10069690 polymorphism and cancers risk: a meta‐analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785442/
https://www.ncbi.nlm.nih.gov/pubmed/31454181
http://dx.doi.org/10.1002/mgg3.903
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