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A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival
Ovarian cancer is the deadliest of all gynecologic cancers. Recent evidence demonstrates an association between enzymatic activity altering single nucleotide polymorphisms (SNP) with human cancer susceptibility. We sought to evaluate the association of SNPs in key oxidant and antioxidant enzymes wit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547699/ https://www.ncbi.nlm.nih.gov/pubmed/26301412 http://dx.doi.org/10.1371/journal.pone.0135739 |
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author | Belotte, Jimmy Fletcher, Nicole M. Saed, Mohammed G. Abusamaan, Mohammed S. Dyson, Gregory Diamond, Michael P. Saed, Ghassan M. |
author_facet | Belotte, Jimmy Fletcher, Nicole M. Saed, Mohammed G. Abusamaan, Mohammed S. Dyson, Gregory Diamond, Michael P. Saed, Ghassan M. |
author_sort | Belotte, Jimmy |
collection | PubMed |
description | Ovarian cancer is the deadliest of all gynecologic cancers. Recent evidence demonstrates an association between enzymatic activity altering single nucleotide polymorphisms (SNP) with human cancer susceptibility. We sought to evaluate the association of SNPs in key oxidant and antioxidant enzymes with increased risk and survival in epithelial ovarian cancer. Individuals (n = 143) recruited were divided into controls, (n = 94): healthy volunteers, (n = 18), high-risk BRCA1/2 negative (n = 53), high-risk BRCA1/2 positive (n = 23) and ovarian cancer cases (n = 49). DNA was subjected to TaqMan SNP genotype analysis for selected oxidant and antioxidant enzymes. Of the seven selected SNP studied, no association with ovarian cancer risk (Pearson Chi-square) was found. However, a catalase SNP was identified as a predictor of ovarian cancer survival by the Cox regression model. The presence of this SNP was associated with a higher likelihood of death (hazard ratio (HR) of 3.68 (95% confidence interval (CI): 1.149–11.836)) for ovarian cancer patients. Kaplan-Meier survival analysis demonstrated a significant median overall survival difference (108 versus 60 months, p<0.05) for those without the catalase SNP as compared to those with the SNP. Additionally, age at diagnosis greater than the median was found to be a significant predictor of death (HR of 2.78 (95% CI: 1.022–7.578)). This study indicates a strong association with the catalase SNP and survival of ovarian cancer patients, and thus may serve as a prognosticator. |
format | Online Article Text |
id | pubmed-4547699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45476992015-09-01 A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival Belotte, Jimmy Fletcher, Nicole M. Saed, Mohammed G. Abusamaan, Mohammed S. Dyson, Gregory Diamond, Michael P. Saed, Ghassan M. PLoS One Research Article Ovarian cancer is the deadliest of all gynecologic cancers. Recent evidence demonstrates an association between enzymatic activity altering single nucleotide polymorphisms (SNP) with human cancer susceptibility. We sought to evaluate the association of SNPs in key oxidant and antioxidant enzymes with increased risk and survival in epithelial ovarian cancer. Individuals (n = 143) recruited were divided into controls, (n = 94): healthy volunteers, (n = 18), high-risk BRCA1/2 negative (n = 53), high-risk BRCA1/2 positive (n = 23) and ovarian cancer cases (n = 49). DNA was subjected to TaqMan SNP genotype analysis for selected oxidant and antioxidant enzymes. Of the seven selected SNP studied, no association with ovarian cancer risk (Pearson Chi-square) was found. However, a catalase SNP was identified as a predictor of ovarian cancer survival by the Cox regression model. The presence of this SNP was associated with a higher likelihood of death (hazard ratio (HR) of 3.68 (95% confidence interval (CI): 1.149–11.836)) for ovarian cancer patients. Kaplan-Meier survival analysis demonstrated a significant median overall survival difference (108 versus 60 months, p<0.05) for those without the catalase SNP as compared to those with the SNP. Additionally, age at diagnosis greater than the median was found to be a significant predictor of death (HR of 2.78 (95% CI: 1.022–7.578)). This study indicates a strong association with the catalase SNP and survival of ovarian cancer patients, and thus may serve as a prognosticator. Public Library of Science 2015-08-24 /pmc/articles/PMC4547699/ /pubmed/26301412 http://dx.doi.org/10.1371/journal.pone.0135739 Text en © 2015 Belotte et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Belotte, Jimmy Fletcher, Nicole M. Saed, Mohammed G. Abusamaan, Mohammed S. Dyson, Gregory Diamond, Michael P. Saed, Ghassan M. A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival |
title | A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival |
title_full | A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival |
title_fullStr | A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival |
title_full_unstemmed | A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival |
title_short | A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival |
title_sort | single nucleotide polymorphism in catalase is strongly associated with ovarian cancer survival |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547699/ https://www.ncbi.nlm.nih.gov/pubmed/26301412 http://dx.doi.org/10.1371/journal.pone.0135739 |
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