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Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes
The glioblastoma genome displays remarkable chromosomal aberrations, which harbor critical glioblastoma-specific genes contributing to several oncogenetic pathways. To identify glioblastoma-targeted genes, we completed a multifaceted genome-wide analysis to characterize the most significant aberrati...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2992381/ https://www.ncbi.nlm.nih.gov/pubmed/21113414 |
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author | Duncan, Christopher G. Killela, Patrick J. Payne, Cathy A. Lampson, Benjamin Chen, William C. Liu, Jeff Solomon, David Waldman, Todd Towers, Aaron J. Gregory, Simon G. McDonald, Kerrie L. McLendon, Roger E. Bigner, Darell D. Yan, Hai |
author_facet | Duncan, Christopher G. Killela, Patrick J. Payne, Cathy A. Lampson, Benjamin Chen, William C. Liu, Jeff Solomon, David Waldman, Todd Towers, Aaron J. Gregory, Simon G. McDonald, Kerrie L. McLendon, Roger E. Bigner, Darell D. Yan, Hai |
author_sort | Duncan, Christopher G. |
collection | PubMed |
description | The glioblastoma genome displays remarkable chromosomal aberrations, which harbor critical glioblastoma-specific genes contributing to several oncogenetic pathways. To identify glioblastoma-targeted genes, we completed a multifaceted genome-wide analysis to characterize the most significant aberrations of DNA content occurring in glioblastomas. We performed copy number analysis of 111 glioblastomas by Digital Karyotyping and Illumina BeadChip assays and validated our findings using data from the TCGA (The Cancer Genome Atlas) glioblastoma project. From this study, we identified recurrent focal copy number alterations in 1p36.23 and 4p16.3. Expression analyses of genes located in the two regions revealed genes which are dysregulated in glioblastomas. Specifically, we identify EGFR negative regulator, ERRFI1, within the minimal region of deletion in 1p36.23. In glioblastoma cells with a focal deletion of the ERRFI1 locus, restoration of ERRFI1 expression slowed cell migration. Furthermore, we demonstrate that TACC3, an Aurora-A kinase substrate, on 4p16.3, displays gain of copy number, is overexpressed in a glioma-grade-specific pattern, and correlates with Aurora kinase overexpression in glioblastomas. Our multifaceted genomic evaluation of glioblastoma establishes ERRFI1 as a potential candidate tumor suppressor gene and TACC3 as a potential oncogene, and provides insight on targets for oncogenic pathway-based therapy. |
format | Text |
id | pubmed-2992381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-29923812010-11-26 Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes Duncan, Christopher G. Killela, Patrick J. Payne, Cathy A. Lampson, Benjamin Chen, William C. Liu, Jeff Solomon, David Waldman, Todd Towers, Aaron J. Gregory, Simon G. McDonald, Kerrie L. McLendon, Roger E. Bigner, Darell D. Yan, Hai Oncotarget Research Papers The glioblastoma genome displays remarkable chromosomal aberrations, which harbor critical glioblastoma-specific genes contributing to several oncogenetic pathways. To identify glioblastoma-targeted genes, we completed a multifaceted genome-wide analysis to characterize the most significant aberrations of DNA content occurring in glioblastomas. We performed copy number analysis of 111 glioblastomas by Digital Karyotyping and Illumina BeadChip assays and validated our findings using data from the TCGA (The Cancer Genome Atlas) glioblastoma project. From this study, we identified recurrent focal copy number alterations in 1p36.23 and 4p16.3. Expression analyses of genes located in the two regions revealed genes which are dysregulated in glioblastomas. Specifically, we identify EGFR negative regulator, ERRFI1, within the minimal region of deletion in 1p36.23. In glioblastoma cells with a focal deletion of the ERRFI1 locus, restoration of ERRFI1 expression slowed cell migration. Furthermore, we demonstrate that TACC3, an Aurora-A kinase substrate, on 4p16.3, displays gain of copy number, is overexpressed in a glioma-grade-specific pattern, and correlates with Aurora kinase overexpression in glioblastomas. Our multifaceted genomic evaluation of glioblastoma establishes ERRFI1 as a potential candidate tumor suppressor gene and TACC3 as a potential oncogene, and provides insight on targets for oncogenic pathway-based therapy. Impact Journals LLC 2010-08-08 /pmc/articles/PMC2992381/ /pubmed/21113414 Text en Copyright: © 2010 Duncan et al. http://creativecommons.org/licenses/by/2.5/ 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 Papers Duncan, Christopher G. Killela, Patrick J. Payne, Cathy A. Lampson, Benjamin Chen, William C. Liu, Jeff Solomon, David Waldman, Todd Towers, Aaron J. Gregory, Simon G. McDonald, Kerrie L. McLendon, Roger E. Bigner, Darell D. Yan, Hai Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes |
title | Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes |
title_full | Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes |
title_fullStr | Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes |
title_full_unstemmed | Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes |
title_short | Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes |
title_sort | integrated genomic analyses identify errfi1 and tacc3 as glioblastoma-targeted genes |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2992381/ https://www.ncbi.nlm.nih.gov/pubmed/21113414 |
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