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Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis
To investigate correlations between excision repair cross-complementation group 1 (ERCC1) and 2 (ERCC2) polymorphisms and osteosarcoma prognosis, we conducted a meta-analysis of studies published through October 2016. Studies were identified in the PubMed, ScienceDirect, Springer, and Web of Science...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617547/ https://www.ncbi.nlm.nih.gov/pubmed/28977987 http://dx.doi.org/10.18632/oncotarget.19370 |
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author | Liu, Xueyong Zhang, Zhan Deng, Chunbo Tian, Yihao Ma, Xun |
author_facet | Liu, Xueyong Zhang, Zhan Deng, Chunbo Tian, Yihao Ma, Xun |
author_sort | Liu, Xueyong |
collection | PubMed |
description | To investigate correlations between excision repair cross-complementation group 1 (ERCC1) and 2 (ERCC2) polymorphisms and osteosarcoma prognosis, we conducted a meta-analysis of studies published through October 2016. Studies were identified in the PubMed, ScienceDirect, Springer, and Web of Science databases using preferred reporting items for systematic reviews and meta-analyses (PRISMA). Odds ratios (ORs) or hazard ratios (HRs) and their 95% confidence intervals (CIs) for overall survival (OS), tumor response (TR), and event-free survival (EFS) were estimated. Our meta-analysis included eleven studies in which four SNPs (ERCC1 rs11615 and rs3212986, ERCC2 rs13181 and rs1799793) reportedly associated with osteosarcoma prognosis were investigated. Each of these studies scored > 6 on the Newcastle-Ottawa Scale (NOS). We found that only one SNP, ERCC1 rs11615, correlated with improved OS and TR. The HR of T vs. C for OS was 1.455 (T/C, 95% CI = 1.151–1.839, P = 0.002, I(2) = 37.80%). The OR of T vs. C for good TR was 0.554 (T/C, 95% CI = 0.437–0.702, P < 0.001, I(2) = 0%). Few significant outcome was observed in subgroup analyses stratified based on study characteristics with adjustments for potential confounders. Our results suggest that ERCC1 rs11615 CC is associated with a better clinical outcome. This suggests rs11615 may be a useful genetic marker for predicting osteosarcoma prognosis. |
format | Online Article Text |
id | pubmed-5617547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56175472017-10-03 Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis Liu, Xueyong Zhang, Zhan Deng, Chunbo Tian, Yihao Ma, Xun Oncotarget Review To investigate correlations between excision repair cross-complementation group 1 (ERCC1) and 2 (ERCC2) polymorphisms and osteosarcoma prognosis, we conducted a meta-analysis of studies published through October 2016. Studies were identified in the PubMed, ScienceDirect, Springer, and Web of Science databases using preferred reporting items for systematic reviews and meta-analyses (PRISMA). Odds ratios (ORs) or hazard ratios (HRs) and their 95% confidence intervals (CIs) for overall survival (OS), tumor response (TR), and event-free survival (EFS) were estimated. Our meta-analysis included eleven studies in which four SNPs (ERCC1 rs11615 and rs3212986, ERCC2 rs13181 and rs1799793) reportedly associated with osteosarcoma prognosis were investigated. Each of these studies scored > 6 on the Newcastle-Ottawa Scale (NOS). We found that only one SNP, ERCC1 rs11615, correlated with improved OS and TR. The HR of T vs. C for OS was 1.455 (T/C, 95% CI = 1.151–1.839, P = 0.002, I(2) = 37.80%). The OR of T vs. C for good TR was 0.554 (T/C, 95% CI = 0.437–0.702, P < 0.001, I(2) = 0%). Few significant outcome was observed in subgroup analyses stratified based on study characteristics with adjustments for potential confounders. Our results suggest that ERCC1 rs11615 CC is associated with a better clinical outcome. This suggests rs11615 may be a useful genetic marker for predicting osteosarcoma prognosis. Impact Journals LLC 2017-07-19 /pmc/articles/PMC5617547/ /pubmed/28977987 http://dx.doi.org/10.18632/oncotarget.19370 Text en Copyright: © 2017 Liu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Review Liu, Xueyong Zhang, Zhan Deng, Chunbo Tian, Yihao Ma, Xun Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis |
title | Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis |
title_full | Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis |
title_fullStr | Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis |
title_full_unstemmed | Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis |
title_short | Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis |
title_sort | meta-analysis showing that ercc1 polymorphism is predictive of osteosarcoma prognosis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617547/ https://www.ncbi.nlm.nih.gov/pubmed/28977987 http://dx.doi.org/10.18632/oncotarget.19370 |
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