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The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population
BACKGROUND: Gliomas are highly malignant with a poor prognosis. Studies have reported that DNA repair genes influence risk for glioma, but its relationship with prognosis is unclear. In this study, we want to explore the relationship between DNA repair genes (XRCC3, XRCC4 and XRCC5) and prognosis of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356736/ https://www.ncbi.nlm.nih.gov/pubmed/27852033 http://dx.doi.org/10.18632/oncotarget.13297 |
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author | He, Xue Zhu, Xikai Li, Lei Zhang, Jiayi Wu, Ruipeng Zhang, Yuan Kang, Longli Yuan, Dongya Jin, Tianbo |
author_facet | He, Xue Zhu, Xikai Li, Lei Zhang, Jiayi Wu, Ruipeng Zhang, Yuan Kang, Longli Yuan, Dongya Jin, Tianbo |
author_sort | He, Xue |
collection | PubMed |
description | BACKGROUND: Gliomas are highly malignant with a poor prognosis. Studies have reported that DNA repair genes influence risk for glioma, but its relationship with prognosis is unclear. In this study, we want to explore the relationship between DNA repair genes (XRCC3, XRCC4 and XRCC5) and prognosis of astrocytoma in the Chinese Han population. MATERIALS AND METHODS: 160 astrocytoma cases were recruited in our study. Survival probabilities were estimated by using Kaplan–Meier analysis, and significant differences were analyzed by using the log-rank test. Cox proportional hazards models were used to analyze the associations between genotypes with astrocytoma survival. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using multivariable models. All tests were two-sided and p < 0.05 was considered to be significant. RESULTS: The SNP (rs9288516) in XRCC5 (HR: 1.69, 95%CI: 1.04 - 2.77, p = 0.049), surgical approach (HR: 0.61, 95%CI: 0.43 - 0.88, p = 0.003) and chemotherapy (HR: 0.71, 95%CI: 0.50 - 0.99, p = 0.029) were associated with astrocytoma prognosis. Further, the “A/A” genotype of rs9288516 in XRCC5 (HR: 1.67, 95%CI: 1.02 - 2.72, p = 0.042) had significantly outcomes after adjusting for potential confounders, patients with poor tumor differentiation and the coexistence of the unfavorable genotypes. CONCLUSION: These results suggest that polymorphisms of XRCC5 play an important role in astrocytoma prognosis in the Chinese Han population which could be used in the determination of astrocytoma prognosis in clinical researches. |
format | Online Article Text |
id | pubmed-5356736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53567362017-04-26 The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population He, Xue Zhu, Xikai Li, Lei Zhang, Jiayi Wu, Ruipeng Zhang, Yuan Kang, Longli Yuan, Dongya Jin, Tianbo Oncotarget Research Paper BACKGROUND: Gliomas are highly malignant with a poor prognosis. Studies have reported that DNA repair genes influence risk for glioma, but its relationship with prognosis is unclear. In this study, we want to explore the relationship between DNA repair genes (XRCC3, XRCC4 and XRCC5) and prognosis of astrocytoma in the Chinese Han population. MATERIALS AND METHODS: 160 astrocytoma cases were recruited in our study. Survival probabilities were estimated by using Kaplan–Meier analysis, and significant differences were analyzed by using the log-rank test. Cox proportional hazards models were used to analyze the associations between genotypes with astrocytoma survival. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using multivariable models. All tests were two-sided and p < 0.05 was considered to be significant. RESULTS: The SNP (rs9288516) in XRCC5 (HR: 1.69, 95%CI: 1.04 - 2.77, p = 0.049), surgical approach (HR: 0.61, 95%CI: 0.43 - 0.88, p = 0.003) and chemotherapy (HR: 0.71, 95%CI: 0.50 - 0.99, p = 0.029) were associated with astrocytoma prognosis. Further, the “A/A” genotype of rs9288516 in XRCC5 (HR: 1.67, 95%CI: 1.02 - 2.72, p = 0.042) had significantly outcomes after adjusting for potential confounders, patients with poor tumor differentiation and the coexistence of the unfavorable genotypes. CONCLUSION: These results suggest that polymorphisms of XRCC5 play an important role in astrocytoma prognosis in the Chinese Han population which could be used in the determination of astrocytoma prognosis in clinical researches. Impact Journals LLC 2016-11-11 /pmc/articles/PMC5356736/ /pubmed/27852033 http://dx.doi.org/10.18632/oncotarget.13297 Text en Copyright: © 2016 He 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper He, Xue Zhu, Xikai Li, Lei Zhang, Jiayi Wu, Ruipeng Zhang, Yuan Kang, Longli Yuan, Dongya Jin, Tianbo The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population |
title | The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population |
title_full | The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population |
title_fullStr | The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population |
title_full_unstemmed | The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population |
title_short | The relationship between polymorphisms of XRCC5 genes with astrocytoma prognosis in the Han Chinese population |
title_sort | relationship between polymorphisms of xrcc5 genes with astrocytoma prognosis in the han chinese population |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356736/ https://www.ncbi.nlm.nih.gov/pubmed/27852033 http://dx.doi.org/10.18632/oncotarget.13297 |
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