Correlation between molecular features and genetic subtypes of Glioblastoma: critical analysis in 109 cases
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 instacron:METC |
instname_str |
Mavera Edições Científicas e Técnicas Ltda-ME |
instacron_str |
METC |
institution |
METC |
reponame_str |
MedicalExpress (São Paulo. Online) |
collection |
MedicalExpress (São Paulo. Online) |
repository.name.fl_str_mv |
MedicalExpress (São Paulo. Online) - Mavera Edições Científicas e Técnicas Ltda-ME |
repository.mail.fl_str_mv |
||medicalexpress@me.net.br |
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1754734597139070976 |