<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Glioblastoma (GBM) has very poor prognosis despite aggressive therapy including surgical treatment. At present, few molecular markers could clarify GBM prognosis in greater detail. However, better understanding of the molecular pathogenesis would be the mainstay of improved, more personalized treatment modalities. Recent large-scale molecular studies brought new data that altered previous concepts about GBM; even molecular subtypes of GBM have been discovered. We discuss here the classic pathology of GBM along with molecular markers and subtypes of GBM as well as routine applications of these advances.</p></abstract>

Glioblastoma (GBM) has very poor prognosis despite aggressive therapy including surgical treatment. At present, few molecular markers could clarify GBM prognosis in greater detail. However, better understanding of the molecular pathogenesis would be the mainstay of improved, more personalized treatment modalities. Recent large-scale molecular studies brought new data that altered previous concepts about GBM; even molecular subtypes of GBM have been discovered. We discuss here the classic pathology of GBM along with molecular markers and subtypes of GBM as well as routine applications of these advances.

Glioblastoma – Current Concepts, Prognostic Markers And Molecular Classification

Department of Pathology, Riga Stradins University, Latvia

Department of Surgery, Riga Stradins University, Latvia

Acta Chirurgica Latviensis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Glioblastoma (GBM) has very poor prognosis despite aggressive therapy including surgical treatment. At present, few molecular markers could clarify GBM...

Glioblastoma – Current Concepts, Prognostic Markers And Molecular Classification

Publicado en línea: 25 nov 2014

Páginas: 58 - 64

DOI: https://doi.org/10.2478/chilat-2014-0012

© Latvian Surgeons' Association, Latvian Paediatric Surgeon Association, Rīga Stradiņš University

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.