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Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity
Although treatment outcomes of glioblastoma, the most malignant central nervous system (CNS) tumor, has improved in the past decades, it is still incurable, and survival has only slightly improved. Advances in molecular biology and genetics have completely transformed our understanding of glioblasto...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470251/ https://www.ncbi.nlm.nih.gov/pubmed/34576168 http://dx.doi.org/10.3390/ijms221810005 |
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author | Hutóczki, Gábor Virga, József Birkó, Zsuzsanna Klekner, Almos |
author_facet | Hutóczki, Gábor Virga, József Birkó, Zsuzsanna Klekner, Almos |
author_sort | Hutóczki, Gábor |
collection | PubMed |
description | Although treatment outcomes of glioblastoma, the most malignant central nervous system (CNS) tumor, has improved in the past decades, it is still incurable, and survival has only slightly improved. Advances in molecular biology and genetics have completely transformed our understanding of glioblastoma. Multiple classifications and different diagnostic methods were made according to novel molecular markers. Discovering tumor heterogeneity only partially explains the ineffectiveness of current anti-proliferative therapies. Dynamic heterogeneity secures resistance to combined oncotherapy. As tumor growth proceeds, new therapy-resistant sub clones emerge. Liquid biopsy is a new and promising diagnostic tool that can step up with the dynamic genetic change. Getting a ’real-time’ picture of a specific tumor, anti-invasion and multi-target treatment can be designed. During invasion to the peri-tumoral brain tissue, glioma cells interact with the extracellular matrix components. The expressional levels of these matrix molecules give a characteristic pattern, the invasion spectrum, which possess vast diagnostical, predictive and prognostic information. It is a huge leap forward combating tumor heterogeneity and searching for novel therapies. Using the invasion spectrum of a tumor sample is a novel tool to distinguish between histological subtypes, specifying the tumor grades or different prognostic groups. Moreover, new therapeutic methods and their combinations are under trial. These are crucial steps towards personalized oncotherapy. |
format | Online Article Text |
id | pubmed-8470251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84702512021-09-27 Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity Hutóczki, Gábor Virga, József Birkó, Zsuzsanna Klekner, Almos Int J Mol Sci Review Although treatment outcomes of glioblastoma, the most malignant central nervous system (CNS) tumor, has improved in the past decades, it is still incurable, and survival has only slightly improved. Advances in molecular biology and genetics have completely transformed our understanding of glioblastoma. Multiple classifications and different diagnostic methods were made according to novel molecular markers. Discovering tumor heterogeneity only partially explains the ineffectiveness of current anti-proliferative therapies. Dynamic heterogeneity secures resistance to combined oncotherapy. As tumor growth proceeds, new therapy-resistant sub clones emerge. Liquid biopsy is a new and promising diagnostic tool that can step up with the dynamic genetic change. Getting a ’real-time’ picture of a specific tumor, anti-invasion and multi-target treatment can be designed. During invasion to the peri-tumoral brain tissue, glioma cells interact with the extracellular matrix components. The expressional levels of these matrix molecules give a characteristic pattern, the invasion spectrum, which possess vast diagnostical, predictive and prognostic information. It is a huge leap forward combating tumor heterogeneity and searching for novel therapies. Using the invasion spectrum of a tumor sample is a novel tool to distinguish between histological subtypes, specifying the tumor grades or different prognostic groups. Moreover, new therapeutic methods and their combinations are under trial. These are crucial steps towards personalized oncotherapy. MDPI 2021-09-16 /pmc/articles/PMC8470251/ /pubmed/34576168 http://dx.doi.org/10.3390/ijms221810005 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 Hutóczki, Gábor Virga, József Birkó, Zsuzsanna Klekner, Almos Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity |
title | Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity |
title_full | Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity |
title_fullStr | Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity |
title_full_unstemmed | Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity |
title_short | Novel Concepts of Glioblastoma Therapy Concerning Its Heterogeneity |
title_sort | novel concepts of glioblastoma therapy concerning its heterogeneity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470251/ https://www.ncbi.nlm.nih.gov/pubmed/34576168 http://dx.doi.org/10.3390/ijms221810005 |
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