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Prognostic and Predictive Biomarkers in Gliomas

Gliomas are the most common central nervous system tumors. New technologies, including genetic research and advanced statistical methods, revolutionize the therapeutic approach to the patient and reveal new points of treatment options. Moreover, the 2021 World Health Organization Classification of T...

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Autores principales: Śledzińska, Paulina, Bebyn, Marek G., Furtak, Jacek, Kowalewski, Janusz, Lewandowska, Marzena A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508830/
https://www.ncbi.nlm.nih.gov/pubmed/34638714
http://dx.doi.org/10.3390/ijms221910373
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author Śledzińska, Paulina
Bebyn, Marek G.
Furtak, Jacek
Kowalewski, Janusz
Lewandowska, Marzena A.
author_facet Śledzińska, Paulina
Bebyn, Marek G.
Furtak, Jacek
Kowalewski, Janusz
Lewandowska, Marzena A.
author_sort Śledzińska, Paulina
collection PubMed
description Gliomas are the most common central nervous system tumors. New technologies, including genetic research and advanced statistical methods, revolutionize the therapeutic approach to the patient and reveal new points of treatment options. Moreover, the 2021 World Health Organization Classification of Tumors of the Central Nervous System has fundamentally changed the classification of gliomas and incorporated many molecular biomarkers. Given the rapid progress in neuro-oncology, here we compile the latest research on prognostic and predictive biomarkers in gliomas. In adult patients, IDH mutations are positive prognostic markers and have the greatest prognostic significance. However, CDKN2A deletion, in IDH-mutant astrocytomas, is a marker of the highest malignancy grade. Moreover, the presence of TERT promoter mutations, EGFR alterations, or a combination of chromosome 7 gain and 10 loss upgrade IDH-wildtype astrocytoma to glioblastoma. In pediatric patients, H3F3A alterations are the most important markers which predict the worse outcome. MGMT promoter methylation has the greatest clinical significance in predicting responses to temozolomide (TMZ). Conversely, mismatch repair defects cause hypermutation phenotype predicting poor response to TMZ. Finally, we discussed liquid biopsies, which are promising diagnostic, prognostic, and predictive techniques, but further work is needed to implement these novel technologies in clinical practice.
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spelling pubmed-85088302021-10-13 Prognostic and Predictive Biomarkers in Gliomas Śledzińska, Paulina Bebyn, Marek G. Furtak, Jacek Kowalewski, Janusz Lewandowska, Marzena A. Int J Mol Sci Review Gliomas are the most common central nervous system tumors. New technologies, including genetic research and advanced statistical methods, revolutionize the therapeutic approach to the patient and reveal new points of treatment options. Moreover, the 2021 World Health Organization Classification of Tumors of the Central Nervous System has fundamentally changed the classification of gliomas and incorporated many molecular biomarkers. Given the rapid progress in neuro-oncology, here we compile the latest research on prognostic and predictive biomarkers in gliomas. In adult patients, IDH mutations are positive prognostic markers and have the greatest prognostic significance. However, CDKN2A deletion, in IDH-mutant astrocytomas, is a marker of the highest malignancy grade. Moreover, the presence of TERT promoter mutations, EGFR alterations, or a combination of chromosome 7 gain and 10 loss upgrade IDH-wildtype astrocytoma to glioblastoma. In pediatric patients, H3F3A alterations are the most important markers which predict the worse outcome. MGMT promoter methylation has the greatest clinical significance in predicting responses to temozolomide (TMZ). Conversely, mismatch repair defects cause hypermutation phenotype predicting poor response to TMZ. Finally, we discussed liquid biopsies, which are promising diagnostic, prognostic, and predictive techniques, but further work is needed to implement these novel technologies in clinical practice. MDPI 2021-09-26 /pmc/articles/PMC8508830/ /pubmed/34638714 http://dx.doi.org/10.3390/ijms221910373 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Śledzińska, Paulina
Bebyn, Marek G.
Furtak, Jacek
Kowalewski, Janusz
Lewandowska, Marzena A.
Prognostic and Predictive Biomarkers in Gliomas
title Prognostic and Predictive Biomarkers in Gliomas
title_full Prognostic and Predictive Biomarkers in Gliomas
title_fullStr Prognostic and Predictive Biomarkers in Gliomas
title_full_unstemmed Prognostic and Predictive Biomarkers in Gliomas
title_short Prognostic and Predictive Biomarkers in Gliomas
title_sort prognostic and predictive biomarkers in gliomas
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508830/
https://www.ncbi.nlm.nih.gov/pubmed/34638714
http://dx.doi.org/10.3390/ijms221910373
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