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LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis
BACKGROUND: Lysosome-associated protein transmembrane-4 beta (LAPTM4B) is a novel cancer-related gene. While recent studies have reported that the LAPTM4B polymorphism increased the susceptibility of several cancers, the results remain inconclusive. Therefore, we performed a meta-analysis to systema...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022328/ https://www.ncbi.nlm.nih.gov/pubmed/24746178 http://dx.doi.org/10.1186/1471-2156-15-48 |
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author | Mo, Cuiju Lu, Yu Deng, Yan Wang, Jian Xie, Li Li, Taijie He, Yu Peng, Qiliu Qin, Xue Li, Shan |
author_facet | Mo, Cuiju Lu, Yu Deng, Yan Wang, Jian Xie, Li Li, Taijie He, Yu Peng, Qiliu Qin, Xue Li, Shan |
author_sort | Mo, Cuiju |
collection | PubMed |
description | BACKGROUND: Lysosome-associated protein transmembrane-4 beta (LAPTM4B) is a novel cancer-related gene. While recent studies have reported that the LAPTM4B polymorphism increased the susceptibility of several cancers, the results remain inconclusive. Therefore, we performed a meta-analysis to systematically summarize the possible association. RESULTS: The meta-analysis was conducted based on 17 studies in Chinese populations, including 4160 cases and 4148 controls. The relevant studies were searched through electronic databases updated in November 2013. The strength of association between the LAPTM4B polymorphism and susceptibility to multiple cancers was assessed by odds ratio (OR) and 95% confidence interval (95% CI). The meta-analysis results suggested that the LAPTM4B polymorphism was significantly associated with overall susceptibility to multiple cancers in all genetic models (*2 vs. *1, OR = 1.53, 95% CI = 1.37–1.70; *2/2 vs. *1/1, OR = 2.18, 95% CI = 1.72–2.75; *2/1 vs.*1/1, OR = 1.62, 95% CI = 1.41–1.86; *2/1 + *2/2 vs. *1/1, OR = 1.70, 95% CI = 1.47–1.97; *2/2 vs. *2/1 + *1/1, OR = 1.76, 95% CI = 1.50–2.05). Further subgroup analysis revealed a significant association between the LAPTM4B polymorphism and cancer susceptibility in the subgroups stratified by control source, cancer type, histopathologic differentiation, and TNM stage. CONCLUSIONS: This meta-analysis indicated that the LAPTM4B *2 allele was associated with increasing risk of multiple cancers, tumor initiation and development. |
format | Online Article Text |
id | pubmed-4022328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40223282014-05-16 LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis Mo, Cuiju Lu, Yu Deng, Yan Wang, Jian Xie, Li Li, Taijie He, Yu Peng, Qiliu Qin, Xue Li, Shan BMC Genet Research Article BACKGROUND: Lysosome-associated protein transmembrane-4 beta (LAPTM4B) is a novel cancer-related gene. While recent studies have reported that the LAPTM4B polymorphism increased the susceptibility of several cancers, the results remain inconclusive. Therefore, we performed a meta-analysis to systematically summarize the possible association. RESULTS: The meta-analysis was conducted based on 17 studies in Chinese populations, including 4160 cases and 4148 controls. The relevant studies were searched through electronic databases updated in November 2013. The strength of association between the LAPTM4B polymorphism and susceptibility to multiple cancers was assessed by odds ratio (OR) and 95% confidence interval (95% CI). The meta-analysis results suggested that the LAPTM4B polymorphism was significantly associated with overall susceptibility to multiple cancers in all genetic models (*2 vs. *1, OR = 1.53, 95% CI = 1.37–1.70; *2/2 vs. *1/1, OR = 2.18, 95% CI = 1.72–2.75; *2/1 vs.*1/1, OR = 1.62, 95% CI = 1.41–1.86; *2/1 + *2/2 vs. *1/1, OR = 1.70, 95% CI = 1.47–1.97; *2/2 vs. *2/1 + *1/1, OR = 1.76, 95% CI = 1.50–2.05). Further subgroup analysis revealed a significant association between the LAPTM4B polymorphism and cancer susceptibility in the subgroups stratified by control source, cancer type, histopathologic differentiation, and TNM stage. CONCLUSIONS: This meta-analysis indicated that the LAPTM4B *2 allele was associated with increasing risk of multiple cancers, tumor initiation and development. BioMed Central 2014-04-18 /pmc/articles/PMC4022328/ /pubmed/24746178 http://dx.doi.org/10.1186/1471-2156-15-48 Text en Copyright © 2014 Mo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Mo, Cuiju Lu, Yu Deng, Yan Wang, Jian Xie, Li Li, Taijie He, Yu Peng, Qiliu Qin, Xue Li, Shan LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis |
title | LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis |
title_full | LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis |
title_fullStr | LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis |
title_full_unstemmed | LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis |
title_short | LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis |
title_sort | laptm4b polymorphism increases susceptibility to multiple cancers in chinese populations: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022328/ https://www.ncbi.nlm.nih.gov/pubmed/24746178 http://dx.doi.org/10.1186/1471-2156-15-48 |
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