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Meta-analysis of the association between MALAT1 rs619586 A>G polymorphism and cancer risk
OBJECTIVE: This study aimed to systematically assess the effect of the metastasis associated lung adenocarcinoma transcript 1 (MALAT1) long noncoding RNA rs619586 polymorphism on cancer risk. METHODS: We conducted a literature search of the PubMed, Embase, and China National Knowledge Internet datab...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388131/ https://www.ncbi.nlm.nih.gov/pubmed/32720826 http://dx.doi.org/10.1177/0300060520941969 |
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author | Ni, Wenwen Wang, Xinyu Sun, Yuqi Gao, Xueren |
author_facet | Ni, Wenwen Wang, Xinyu Sun, Yuqi Gao, Xueren |
author_sort | Ni, Wenwen |
collection | PubMed |
description | OBJECTIVE: This study aimed to systematically assess the effect of the metastasis associated lung adenocarcinoma transcript 1 (MALAT1) long noncoding RNA rs619586 polymorphism on cancer risk. METHODS: We conducted a literature search of the PubMed, Embase, and China National Knowledge Internet databases to identify relevant studies, and calculated the pooled odds ratios (ORs) and 95% confidence intervals (CIs) for the retrieved studies using RevMan software. RESULTS: Nine eligible studies including 5968 cases and 7439 controls were included in the meta-analysis. The pooled results showed that MALAT1 rs619586 polymorphism was significantly associated with cancer risk [(AG + GG) vs. AA: OR = 0.88; GG vs. (AG + AA): OR = 0.64; GG vs. AA: OR = 0.63; AG vs. AA: OR = 0.91; G vs. A: OR = 0.87]. However, subgroup analyses based on ethnicity and cancer type showed significant associations between MALAT1 rs619586 polymorphism and cancer risk in Asians and for cancers other than hepatocellular carcinoma, but not for Caucasians and hepatocellular carcinoma. CONCLUSIONS: MALAT1 rs619586 polymorphism may play a role in cancer risk. However, further studies are needed to confirm these findings. |
format | Online Article Text |
id | pubmed-7388131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73881312020-08-10 Meta-analysis of the association between MALAT1 rs619586 A>G polymorphism and cancer risk Ni, Wenwen Wang, Xinyu Sun, Yuqi Gao, Xueren J Int Med Res Meta-Analysis OBJECTIVE: This study aimed to systematically assess the effect of the metastasis associated lung adenocarcinoma transcript 1 (MALAT1) long noncoding RNA rs619586 polymorphism on cancer risk. METHODS: We conducted a literature search of the PubMed, Embase, and China National Knowledge Internet databases to identify relevant studies, and calculated the pooled odds ratios (ORs) and 95% confidence intervals (CIs) for the retrieved studies using RevMan software. RESULTS: Nine eligible studies including 5968 cases and 7439 controls were included in the meta-analysis. The pooled results showed that MALAT1 rs619586 polymorphism was significantly associated with cancer risk [(AG + GG) vs. AA: OR = 0.88; GG vs. (AG + AA): OR = 0.64; GG vs. AA: OR = 0.63; AG vs. AA: OR = 0.91; G vs. A: OR = 0.87]. However, subgroup analyses based on ethnicity and cancer type showed significant associations between MALAT1 rs619586 polymorphism and cancer risk in Asians and for cancers other than hepatocellular carcinoma, but not for Caucasians and hepatocellular carcinoma. CONCLUSIONS: MALAT1 rs619586 polymorphism may play a role in cancer risk. However, further studies are needed to confirm these findings. SAGE Publications 2020-07-28 /pmc/articles/PMC7388131/ /pubmed/32720826 http://dx.doi.org/10.1177/0300060520941969 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Meta-Analysis Ni, Wenwen Wang, Xinyu Sun, Yuqi Gao, Xueren Meta-analysis of the association between MALAT1 rs619586 A>G polymorphism and cancer risk |
title | Meta-analysis of the association between MALAT1
rs619586 A>G polymorphism and cancer risk |
title_full | Meta-analysis of the association between MALAT1
rs619586 A>G polymorphism and cancer risk |
title_fullStr | Meta-analysis of the association between MALAT1
rs619586 A>G polymorphism and cancer risk |
title_full_unstemmed | Meta-analysis of the association between MALAT1
rs619586 A>G polymorphism and cancer risk |
title_short | Meta-analysis of the association between MALAT1
rs619586 A>G polymorphism and cancer risk |
title_sort | meta-analysis of the association between malat1
rs619586 a>g polymorphism and cancer risk |
topic | Meta-Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388131/ https://www.ncbi.nlm.nih.gov/pubmed/32720826 http://dx.doi.org/10.1177/0300060520941969 |
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