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Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics

Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous system. Due to the absence of effective pharmacological and surgical treatments, the identification of early diagnostic and prognostic biomarkers is of key importance to improve the survival rate of patients and to...

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Autores principales: Silantyev, Artemiy S., Falzone, Luca, Libra, Massimo, Gurina, Olga I., Kardashova, Karina Sh., Nikolouzakis, Taxiarchis K., Nosyrev, Alexander E., Sutton, Christopher W., Mitsias, Panayiotis D., Tsatsakis, Aristides
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721640/
https://www.ncbi.nlm.nih.gov/pubmed/31405017
http://dx.doi.org/10.3390/cells8080863
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author Silantyev, Artemiy S.
Falzone, Luca
Libra, Massimo
Gurina, Olga I.
Kardashova, Karina Sh.
Nikolouzakis, Taxiarchis K.
Nosyrev, Alexander E.
Sutton, Christopher W.
Mitsias, Panayiotis D.
Tsatsakis, Aristides
author_facet Silantyev, Artemiy S.
Falzone, Luca
Libra, Massimo
Gurina, Olga I.
Kardashova, Karina Sh.
Nikolouzakis, Taxiarchis K.
Nosyrev, Alexander E.
Sutton, Christopher W.
Mitsias, Panayiotis D.
Tsatsakis, Aristides
author_sort Silantyev, Artemiy S.
collection PubMed
description Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous system. Due to the absence of effective pharmacological and surgical treatments, the identification of early diagnostic and prognostic biomarkers is of key importance to improve the survival rate of patients and to develop new personalized treatments. On these bases, the aim of this review article is to summarize the current knowledge regarding the application of molecular biology and proteomics techniques for the identification of novel biomarkers through the analysis of different biological samples obtained from glioblastoma patients, including DNA, microRNAs, proteins, small molecules, circulating tumor cells, extracellular vesicles, etc. Both benefits and pitfalls of molecular biology and proteomics analyses are discussed, including the different mass spectrometry-based analytical techniques, highlighting how these investigation strategies are powerful tools to study the biology of glioblastoma, as well as to develop advanced methods for the management of this pathology.
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spelling pubmed-67216402019-09-10 Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics Silantyev, Artemiy S. Falzone, Luca Libra, Massimo Gurina, Olga I. Kardashova, Karina Sh. Nikolouzakis, Taxiarchis K. Nosyrev, Alexander E. Sutton, Christopher W. Mitsias, Panayiotis D. Tsatsakis, Aristides Cells Review Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous system. Due to the absence of effective pharmacological and surgical treatments, the identification of early diagnostic and prognostic biomarkers is of key importance to improve the survival rate of patients and to develop new personalized treatments. On these bases, the aim of this review article is to summarize the current knowledge regarding the application of molecular biology and proteomics techniques for the identification of novel biomarkers through the analysis of different biological samples obtained from glioblastoma patients, including DNA, microRNAs, proteins, small molecules, circulating tumor cells, extracellular vesicles, etc. Both benefits and pitfalls of molecular biology and proteomics analyses are discussed, including the different mass spectrometry-based analytical techniques, highlighting how these investigation strategies are powerful tools to study the biology of glioblastoma, as well as to develop advanced methods for the management of this pathology. MDPI 2019-08-09 /pmc/articles/PMC6721640/ /pubmed/31405017 http://dx.doi.org/10.3390/cells8080863 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Silantyev, Artemiy S.
Falzone, Luca
Libra, Massimo
Gurina, Olga I.
Kardashova, Karina Sh.
Nikolouzakis, Taxiarchis K.
Nosyrev, Alexander E.
Sutton, Christopher W.
Mitsias, Panayiotis D.
Tsatsakis, Aristides
Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics
title Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics
title_full Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics
title_fullStr Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics
title_full_unstemmed Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics
title_short Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics
title_sort current and future trends on diagnosis and prognosis of glioblastoma: from molecular biology to proteomics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721640/
https://www.ncbi.nlm.nih.gov/pubmed/31405017
http://dx.doi.org/10.3390/cells8080863
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