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Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles

Several classification systems have been proposed to address genomic heterogeneity of glioblastoma multiforme, but they either showed limited prognostic value and/or are difficult to implement in routine diagnostics. Here we propose a prognostic stratification model for these primary tumors based on...

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Autores principales: González-Tablas, María, Crespo, Inês, Vital, Ana Luísa, Otero, Álvaro, Nieto, Ana Belén, Sousa, Pablo, Patino-Alonso, María Carmen, Corchete, Luis Antonio, Tão, Hermínio, Rebelo, Olinda, Barbosa, Marcos, Almeida, Maria Rosário, Guedes, Ana Filipa, Lopes, María Celeste, French, Pim J., Orfao, Alberto, Tabernero, María Dolores
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021328/
https://www.ncbi.nlm.nih.gov/pubmed/29963263
http://dx.doi.org/10.18632/oncotarget.25562
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author González-Tablas, María
Crespo, Inês
Vital, Ana Luísa
Otero, Álvaro
Nieto, Ana Belén
Sousa, Pablo
Patino-Alonso, María Carmen
Corchete, Luis Antonio
Tão, Hermínio
Rebelo, Olinda
Barbosa, Marcos
Almeida, Maria Rosário
Guedes, Ana Filipa
Lopes, María Celeste
French, Pim J.
Orfao, Alberto
Tabernero, María Dolores
author_facet González-Tablas, María
Crespo, Inês
Vital, Ana Luísa
Otero, Álvaro
Nieto, Ana Belén
Sousa, Pablo
Patino-Alonso, María Carmen
Corchete, Luis Antonio
Tão, Hermínio
Rebelo, Olinda
Barbosa, Marcos
Almeida, Maria Rosário
Guedes, Ana Filipa
Lopes, María Celeste
French, Pim J.
Orfao, Alberto
Tabernero, María Dolores
author_sort González-Tablas, María
collection PubMed
description Several classification systems have been proposed to address genomic heterogeneity of glioblastoma multiforme, but they either showed limited prognostic value and/or are difficult to implement in routine diagnostics. Here we propose a prognostic stratification model for these primary tumors based on tumor gene amplification profiles, that might be easily implemented in routine diagnostics, and potentially improve the patients management. Gene amplification profiles were prospectively evaluated in 80 primary glioblastoma multiforme tumors using single-nucleotide polymorphism arrays and the results obtained validated in publicly available data from 267/347 cases. Gene amplification was detected in 45% of patients, and chromosome 7p11.2 including the EGFR gene, was the most frequently amplified chromosomal region – either alone (18%) or in combination with amplification of DNA sequences in other chromosomal regions (10% of cases). Other frequently amplified DNA sequences included regions in chromosomes 12q(10%), 4q12(7%) and 1q32.1(4%). Based on their gene amplification profiles, glioblastomas were subdivided into: i) tumors with no gene amplification (55%); ii) tumors with chromosome 7p/EGFR gene amplification (with or without amplification of other chromosomal regions) (38%); and iii) glioblastoma multiforme with a single (11%) or multiple (6%) amplified DNA sequences in chromosomal regions other than chromosome 7p. From the prognostic point of view, these amplification profiles showed a significant impact on overall survival of glioblastoma multiforme patients (p>0.001). Based on these gene amplification profiles, a risk-stratification scoring system was built for prognostic stratification of glioblastoma which might be easily implemented in routine diagnostics, and potentially contribute to improved patient management.
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spelling pubmed-60213282018-06-30 Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles González-Tablas, María Crespo, Inês Vital, Ana Luísa Otero, Álvaro Nieto, Ana Belén Sousa, Pablo Patino-Alonso, María Carmen Corchete, Luis Antonio Tão, Hermínio Rebelo, Olinda Barbosa, Marcos Almeida, Maria Rosário Guedes, Ana Filipa Lopes, María Celeste French, Pim J. Orfao, Alberto Tabernero, María Dolores Oncotarget Research Paper Several classification systems have been proposed to address genomic heterogeneity of glioblastoma multiforme, but they either showed limited prognostic value and/or are difficult to implement in routine diagnostics. Here we propose a prognostic stratification model for these primary tumors based on tumor gene amplification profiles, that might be easily implemented in routine diagnostics, and potentially improve the patients management. Gene amplification profiles were prospectively evaluated in 80 primary glioblastoma multiforme tumors using single-nucleotide polymorphism arrays and the results obtained validated in publicly available data from 267/347 cases. Gene amplification was detected in 45% of patients, and chromosome 7p11.2 including the EGFR gene, was the most frequently amplified chromosomal region – either alone (18%) or in combination with amplification of DNA sequences in other chromosomal regions (10% of cases). Other frequently amplified DNA sequences included regions in chromosomes 12q(10%), 4q12(7%) and 1q32.1(4%). Based on their gene amplification profiles, glioblastomas were subdivided into: i) tumors with no gene amplification (55%); ii) tumors with chromosome 7p/EGFR gene amplification (with or without amplification of other chromosomal regions) (38%); and iii) glioblastoma multiforme with a single (11%) or multiple (6%) amplified DNA sequences in chromosomal regions other than chromosome 7p. From the prognostic point of view, these amplification profiles showed a significant impact on overall survival of glioblastoma multiforme patients (p>0.001). Based on these gene amplification profiles, a risk-stratification scoring system was built for prognostic stratification of glioblastoma which might be easily implemented in routine diagnostics, and potentially contribute to improved patient management. Impact Journals LLC 2018-06-15 /pmc/articles/PMC6021328/ /pubmed/29963263 http://dx.doi.org/10.18632/oncotarget.25562 Text en Copyright: © 2018 González-Tablas 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 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
González-Tablas, María
Crespo, Inês
Vital, Ana Luísa
Otero, Álvaro
Nieto, Ana Belén
Sousa, Pablo
Patino-Alonso, María Carmen
Corchete, Luis Antonio
Tão, Hermínio
Rebelo, Olinda
Barbosa, Marcos
Almeida, Maria Rosário
Guedes, Ana Filipa
Lopes, María Celeste
French, Pim J.
Orfao, Alberto
Tabernero, María Dolores
Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
title Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
title_full Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
title_fullStr Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
title_full_unstemmed Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
title_short Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
title_sort prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021328/
https://www.ncbi.nlm.nih.gov/pubmed/29963263
http://dx.doi.org/10.18632/oncotarget.25562
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