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Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data

Human hemochromatosis protein (HFE) is involved in iron metabolism. Two major HFE polymorphisms, H63D and C282Y, have been associated with an increased risk of cancers. Previously, we reported decreased gender effects in overall survival based on H63D or C282Y HFE polymorphisms patients with gliobla...

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Autores principales: Lee, Sang Y., Zhu, Junjia, Salzberg, Anna C., Zhang, Bo, Liu, Dajiang J., Muscat, Joshua E., Langan, Sara T., Connor, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373638/
https://www.ncbi.nlm.nih.gov/pubmed/28358914
http://dx.doi.org/10.1371/journal.pone.0174778
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author Lee, Sang Y.
Zhu, Junjia
Salzberg, Anna C.
Zhang, Bo
Liu, Dajiang J.
Muscat, Joshua E.
Langan, Sara T.
Connor, James R.
author_facet Lee, Sang Y.
Zhu, Junjia
Salzberg, Anna C.
Zhang, Bo
Liu, Dajiang J.
Muscat, Joshua E.
Langan, Sara T.
Connor, James R.
author_sort Lee, Sang Y.
collection PubMed
description Human hemochromatosis protein (HFE) is involved in iron metabolism. Two major HFE polymorphisms, H63D and C282Y, have been associated with an increased risk of cancers. Previously, we reported decreased gender effects in overall survival based on H63D or C282Y HFE polymorphisms patients with glioblastoma multiforme (GBM). However, the effect of other single nucleotide variation (SNV) in the HFE gene on the cancer development and progression has not been systematically studied. To expand our finding in a larger sample, and to identify other HFE SNV, we analyzed the frequency of somatic SNV in HFE gene and its relationship to survival in GBM patients using The Cancer Genome Atlas (TCGA) GBM (Caucasian only) database. We found 9 SNVs with increased frequency in blood normal of TCGA GBM patients compared to the 1000Genome. Among 9 SNVs, 7 SNVs were located in the intron and 2 SNVs (i.e., H63D, C282Y) in the exon of HFE gene. The statistical analysis demonstrated that blood normal samples of TCGA GBM have more H63D (p = 0.0002, 95% Confidence interval (CI): 0.2119–0.3223) or C282Y (p = 0.0129, 95% CI: 0.0474–0.1159) HFE polymorphisms than 1000Genome. The Kaplan-Meier survival curve for the 264 GBM samples revealed no difference between wild type (WT) HFE and H63D, and WT HFE and C282Y GBM patients. In addition, there was no difference in the survival of male/female GBM patients based on HFE genotype. There was no correlation between HFE expression and survival. In conclusion, the current results suggest that somatic HFE polymorphisms do not impact GBM patients’ survival in the TCGA data set of GBM.
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spelling pubmed-53736382017-04-07 Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data Lee, Sang Y. Zhu, Junjia Salzberg, Anna C. Zhang, Bo Liu, Dajiang J. Muscat, Joshua E. Langan, Sara T. Connor, James R. PLoS One Research Article Human hemochromatosis protein (HFE) is involved in iron metabolism. Two major HFE polymorphisms, H63D and C282Y, have been associated with an increased risk of cancers. Previously, we reported decreased gender effects in overall survival based on H63D or C282Y HFE polymorphisms patients with glioblastoma multiforme (GBM). However, the effect of other single nucleotide variation (SNV) in the HFE gene on the cancer development and progression has not been systematically studied. To expand our finding in a larger sample, and to identify other HFE SNV, we analyzed the frequency of somatic SNV in HFE gene and its relationship to survival in GBM patients using The Cancer Genome Atlas (TCGA) GBM (Caucasian only) database. We found 9 SNVs with increased frequency in blood normal of TCGA GBM patients compared to the 1000Genome. Among 9 SNVs, 7 SNVs were located in the intron and 2 SNVs (i.e., H63D, C282Y) in the exon of HFE gene. The statistical analysis demonstrated that blood normal samples of TCGA GBM have more H63D (p = 0.0002, 95% Confidence interval (CI): 0.2119–0.3223) or C282Y (p = 0.0129, 95% CI: 0.0474–0.1159) HFE polymorphisms than 1000Genome. The Kaplan-Meier survival curve for the 264 GBM samples revealed no difference between wild type (WT) HFE and H63D, and WT HFE and C282Y GBM patients. In addition, there was no difference in the survival of male/female GBM patients based on HFE genotype. There was no correlation between HFE expression and survival. In conclusion, the current results suggest that somatic HFE polymorphisms do not impact GBM patients’ survival in the TCGA data set of GBM. Public Library of Science 2017-03-30 /pmc/articles/PMC5373638/ /pubmed/28358914 http://dx.doi.org/10.1371/journal.pone.0174778 Text en © 2017 Lee 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lee, Sang Y.
Zhu, Junjia
Salzberg, Anna C.
Zhang, Bo
Liu, Dajiang J.
Muscat, Joshua E.
Langan, Sara T.
Connor, James R.
Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data
title Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data
title_full Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data
title_fullStr Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data
title_full_unstemmed Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data
title_short Analysis of single nucleotide variants of HFE gene and association to survival in The Cancer Genome Atlas GBM data
title_sort analysis of single nucleotide variants of hfe gene and association to survival in the cancer genome atlas gbm data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373638/
https://www.ncbi.nlm.nih.gov/pubmed/28358914
http://dx.doi.org/10.1371/journal.pone.0174778
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