Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1783448388184834048 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6721640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT silantyevartemiys currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT falzoneluca currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT libramassimo currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT gurinaolgai currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT kardashovakarinash currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT nikolouzakistaxiarchisk currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT nosyrevalexandere currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT suttonchristopherw currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT mitsiaspanayiotisd currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics AT tsatsakisaristides currentandfuturetrendsondiagnosisandprognosisofglioblastomafrommolecularbiologytoproteomics |