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G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data

Glioblastoma Multiforme (GBM) is a tumor with high mortality and no known cure. The dramatic molecular and clinical heterogeneity seen in this tumor has led to attempts to define genetically similar subgroups of GBM with the hope of developing tumor specific therapies targeted to the unique biology...

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Autores principales: Baysan, Mehmet, Bozdag, Serdar, Cam, Margaret C., Kotliarova, Svetlana, Ahn, Susie, Walling, Jennifer, Killian, Jonathan K., Stevenson, Holly, Meltzer, Paul, Fine, Howard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490960/
https://www.ncbi.nlm.nih.gov/pubmed/23139755
http://dx.doi.org/10.1371/journal.pone.0047839
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author Baysan, Mehmet
Bozdag, Serdar
Cam, Margaret C.
Kotliarova, Svetlana
Ahn, Susie
Walling, Jennifer
Killian, Jonathan K.
Stevenson, Holly
Meltzer, Paul
Fine, Howard A.
author_facet Baysan, Mehmet
Bozdag, Serdar
Cam, Margaret C.
Kotliarova, Svetlana
Ahn, Susie
Walling, Jennifer
Killian, Jonathan K.
Stevenson, Holly
Meltzer, Paul
Fine, Howard A.
author_sort Baysan, Mehmet
collection PubMed
description Glioblastoma Multiforme (GBM) is a tumor with high mortality and no known cure. The dramatic molecular and clinical heterogeneity seen in this tumor has led to attempts to define genetically similar subgroups of GBM with the hope of developing tumor specific therapies targeted to the unique biology within each of these subgroups. Recently, a subset of relatively favorable prognosis GBMs has been identified. These glioma CpG island methylator phenotype, or G-CIMP tumors, have distinct genomic copy number aberrations, DNA methylation patterns, and (mRNA) expression profiles compared to other GBMs. While the standard method for identifying G-CIMP tumors is based on genome-wide DNA methylation data, such data is often not available compared to the more widely available gene expression data. In this study, we have developed and evaluated a method to predict the G-CIMP status of GBM samples based solely on gene expression data.
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spelling pubmed-34909602012-11-08 G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data Baysan, Mehmet Bozdag, Serdar Cam, Margaret C. Kotliarova, Svetlana Ahn, Susie Walling, Jennifer Killian, Jonathan K. Stevenson, Holly Meltzer, Paul Fine, Howard A. PLoS One Research Article Glioblastoma Multiforme (GBM) is a tumor with high mortality and no known cure. The dramatic molecular and clinical heterogeneity seen in this tumor has led to attempts to define genetically similar subgroups of GBM with the hope of developing tumor specific therapies targeted to the unique biology within each of these subgroups. Recently, a subset of relatively favorable prognosis GBMs has been identified. These glioma CpG island methylator phenotype, or G-CIMP tumors, have distinct genomic copy number aberrations, DNA methylation patterns, and (mRNA) expression profiles compared to other GBMs. While the standard method for identifying G-CIMP tumors is based on genome-wide DNA methylation data, such data is often not available compared to the more widely available gene expression data. In this study, we have developed and evaluated a method to predict the G-CIMP status of GBM samples based solely on gene expression data. Public Library of Science 2012-11-06 /pmc/articles/PMC3490960/ /pubmed/23139755 http://dx.doi.org/10.1371/journal.pone.0047839 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Baysan, Mehmet
Bozdag, Serdar
Cam, Margaret C.
Kotliarova, Svetlana
Ahn, Susie
Walling, Jennifer
Killian, Jonathan K.
Stevenson, Holly
Meltzer, Paul
Fine, Howard A.
G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data
title G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data
title_full G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data
title_fullStr G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data
title_full_unstemmed G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data
title_short G-Cimp Status Prediction Of Glioblastoma Samples Using mRNA Expression Data
title_sort g-cimp status prediction of glioblastoma samples using mrna expression data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490960/
https://www.ncbi.nlm.nih.gov/pubmed/23139755
http://dx.doi.org/10.1371/journal.pone.0047839
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