A simplified integrated molecular and immunohistochemistry-based algorithm allows high accuracy pred...
A simplified integrated molecular and immunohistochemistry-based algorithm allows high accuracy prediction of glioblastoma transcriptional subtypes
About this item
Full title
Author / Creator
on behalf of the Neuro-Oncology group of Spedali Civili of Brescia , Orzan, Francesca , Pagani, Francesca , Cominelli, Manuela , Triggiani, Luca , Calza, Stefano , De Bacco, Francesca , Medicina, Daniela , Balzarini, Piera , Panciani, Pier Paolo , Liserre, Roberto , Buglione, Michela , Fontanella, Marco Maria , Medico, Enzo , Galli, Rossella , Isella, Claudio , Boccaccio, Carla , Poliani, Pietro Luigi and on behalf of the Neuro-Oncology group of Spedali Civili of Brescia
Publisher
New York: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
New York: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
Glioblastomas (GBM) can be classified into three major transcriptional subgroups (proneural, mesenchymal, classical), underlying different molecular alterations, prognosis, and response to therapy. However, transcriptional analysis is not routinely feasible and assessment of a simplified method for glioblastoma subclassification is required. We pro...
Alternative Titles
Full title
A simplified integrated molecular and immunohistochemistry-based algorithm allows high accuracy prediction of glioblastoma transcriptional subtypes
Authors, Artists and Contributors
Author / Creator
Orzan, Francesca
Pagani, Francesca
Cominelli, Manuela
Triggiani, Luca
Calza, Stefano
De Bacco, Francesca
Medicina, Daniela
Balzarini, Piera
Panciani, Pier Paolo
Liserre, Roberto
Buglione, Michela
Fontanella, Marco Maria
Medico, Enzo
Galli, Rossella
Isella, Claudio
Boccaccio, Carla
Poliani, Pietro Luigi
on behalf of the Neuro-Oncology group of Spedali Civili of Brescia
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2403031266
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2403031266
Other Identifiers
ISSN
0023-6837
E-ISSN
1530-0307
DOI
10.1038/s41374-020-0437-0
