Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases

Detalhes bibliográficos
Autor(a) principal: Galatro,Thais F
Data de Publicação: 2017
Outros Autores: Sola,Paula, Moretti,Isabele F, Miura,Flavio K, Oba-Shinjo,Sueli M, Marie,Suely KN, Lerario,Antonio M
Tipo de documento: Artigo
Idioma: eng
Título da fonte: MedicalExpress (São Paulo. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292017000500004
Resumo: OBJECTIVE: Glioblastoma, the most common and lethal brain tumor, is also one of the most defying forms of malignancies in terms of treatment. Integrated genomic analysis has searched deeper into the molecular architecture of GBM, revealing a new sub-classification and promising precision in the care for patients with specific alterations. METHOD: Here, we present the classification of a Brazilian glioblastoma cohort into its main molecular subtypes. Using a high-throughput DNA sequencing procedure, we have classified this cohort into proneural, classical and mesenchymal sub-types. Next, we tested the possible use of the overexpression of the EGFR and CHI3L1 genes, detected through immunohistochemistry, for the identification of the classical and mesenchymal subtypes, respectively. RESULTS: Our results demonstrate that genetic identification of the glioblastoma subtypes is not possible using single targeted mutations alone, particularly in the case of the Mesenchymal subtype. We also show that it is not possible to single out the mesenchymal cases through CHI3L1 expression. CONCLUSION: Our data indicate that the Mesenchymal subtype, the most malignant of the glioblastomas, needs further and more thorough research to be ensure adequate identification.
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spelling Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 casesglioblastomaclassificationDNA sequence analysisCHI3L1EGFR OBJECTIVE: Glioblastoma, the most common and lethal brain tumor, is also one of the most defying forms of malignancies in terms of treatment. Integrated genomic analysis has searched deeper into the molecular architecture of GBM, revealing a new sub-classification and promising precision in the care for patients with specific alterations. METHOD: Here, we present the classification of a Brazilian glioblastoma cohort into its main molecular subtypes. Using a high-throughput DNA sequencing procedure, we have classified this cohort into proneural, classical and mesenchymal sub-types. Next, we tested the possible use of the overexpression of the EGFR and CHI3L1 genes, detected through immunohistochemistry, for the identification of the classical and mesenchymal subtypes, respectively. RESULTS: Our results demonstrate that genetic identification of the glioblastoma subtypes is not possible using single targeted mutations alone, particularly in the case of the Mesenchymal subtype. We also show that it is not possible to single out the mesenchymal cases through CHI3L1 expression. CONCLUSION: Our data indicate that the Mesenchymal subtype, the most malignant of the glioblastomas, needs further and more thorough research to be ensure adequate identification.Mavera Edições Técnicas e Científicas Ltda2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292017000500004MedicalExpress v.4 n.5 2017reponame:MedicalExpress (São Paulo. Online)instname:Mavera Edições Científicas e Técnicas Ltda-MEinstacron:METC10.5935/medicalexpress.2017.05.05info:eu-repo/semantics/openAccessGalatro,Thais FSola,PaulaMoretti,Isabele FMiura,Flavio KOba-Shinjo,Sueli MMarie,Suely KNLerario,Antonio Meng2017-11-28T00:00:00Zoai:scielo:S2358-04292017000500004Revistahttp://www.medicalexpress.net.brhttps://old.scielo.br/oai/scielo-oai.php||medicalexpress@me.net.br2358-04292318-8111opendoar:2017-11-28T00:00MedicalExpress (São Paulo. Online) - Mavera Edições Científicas e Técnicas Ltda-MEfalse
dc.title.none.fl_str_mv Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
title Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
spellingShingle Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
Galatro,Thais F
glioblastoma
classification
DNA sequence analysis
CHI3L1
EGFR
title_short Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
title_full Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
title_fullStr Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
title_full_unstemmed Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
title_sort Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
author Galatro,Thais F
author_facet Galatro,Thais F
Sola,Paula
Moretti,Isabele F
Miura,Flavio K
Oba-Shinjo,Sueli M
Marie,Suely KN
Lerario,Antonio M
author_role author
author2 Sola,Paula
Moretti,Isabele F
Miura,Flavio K
Oba-Shinjo,Sueli M
Marie,Suely KN
Lerario,Antonio M
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Galatro,Thais F
Sola,Paula
Moretti,Isabele F
Miura,Flavio K
Oba-Shinjo,Sueli M
Marie,Suely KN
Lerario,Antonio M
dc.subject.por.fl_str_mv glioblastoma
classification
DNA sequence analysis
CHI3L1
EGFR
topic glioblastoma
classification
DNA sequence analysis
CHI3L1
EGFR
description OBJECTIVE: Glioblastoma, the most common and lethal brain tumor, is also one of the most defying forms of malignancies in terms of treatment. Integrated genomic analysis has searched deeper into the molecular architecture of GBM, revealing a new sub-classification and promising precision in the care for patients with specific alterations. METHOD: Here, we present the classification of a Brazilian glioblastoma cohort into its main molecular subtypes. Using a high-throughput DNA sequencing procedure, we have classified this cohort into proneural, classical and mesenchymal sub-types. Next, we tested the possible use of the overexpression of the EGFR and CHI3L1 genes, detected through immunohistochemistry, for the identification of the classical and mesenchymal subtypes, respectively. RESULTS: Our results demonstrate that genetic identification of the glioblastoma subtypes is not possible using single targeted mutations alone, particularly in the case of the Mesenchymal subtype. We also show that it is not possible to single out the mesenchymal cases through CHI3L1 expression. CONCLUSION: Our data indicate that the Mesenchymal subtype, the most malignant of the glioblastomas, needs further and more thorough research to be ensure adequate identification.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292017000500004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292017000500004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/medicalexpress.2017.05.05
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Mavera Edições Técnicas e Científicas Ltda
publisher.none.fl_str_mv Mavera Edições Técnicas e Científicas Ltda
dc.source.none.fl_str_mv MedicalExpress v.4 n.5 2017
reponame:MedicalExpress (São Paulo. Online)
instname:Mavera Edições Científicas e Técnicas Ltda-ME
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instname_str Mavera Edições Científicas e Técnicas Ltda-ME
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reponame_str MedicalExpress (São Paulo. Online)
collection MedicalExpress (São Paulo. Online)
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