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Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review
Glioblastoma, as the most aggressive brain tumor, is associated with a poor prognosis and outcome. To optimize prognosis and clinical therapy decisions, there is an urgent need to stratify patients with increased risk for recurrent tumors and low therapeutic success to optimize individual treatment....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952807/ https://www.ncbi.nlm.nih.gov/pubmed/35330402 http://dx.doi.org/10.3390/jpm12030402 |
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author | Corr, Felix Grimm, Dustin Saß, Benjamin Pojskić, Mirza Bartsch, Jörg W. Carl, Barbara Nimsky, Christopher Bopp, Miriam H. A. |
author_facet | Corr, Felix Grimm, Dustin Saß, Benjamin Pojskić, Mirza Bartsch, Jörg W. Carl, Barbara Nimsky, Christopher Bopp, Miriam H. A. |
author_sort | Corr, Felix |
collection | PubMed |
description | Glioblastoma, as the most aggressive brain tumor, is associated with a poor prognosis and outcome. To optimize prognosis and clinical therapy decisions, there is an urgent need to stratify patients with increased risk for recurrent tumors and low therapeutic success to optimize individual treatment. Radiogenomics establishes a link between radiological and pathological information. This review provides a state-of-the-art picture illustrating the latest developments in the use of radiogenomic markers regarding prognosis and their potential for monitoring recurrence. Databases PubMed, Google Scholar, and Cochrane Library were searched. Inclusion criteria were defined as diagnosis of glioblastoma with histopathological and radiological follow-up. Out of 321 reviewed articles, 43 articles met these inclusion criteria. Included studies were analyzed for the frequency of radiological and molecular tumor markers whereby radiogenomic associations were analyzed. Six main associations were described: radiogenomic prognosis, MGMT status, IDH, EGFR status, molecular subgroups, and tumor location. Prospective studies analyzing prognostic features of glioblastoma together with radiological features are lacking. By reviewing the progress in the development of radiogenomic markers, we provide insights into the potential efficacy of such an approach for clinical routine use eventually enabling early identification of glioblastoma recurrence and therefore supporting a further personalized monitoring and treatment strategy. |
format | Online Article Text |
id | pubmed-8952807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89528072022-03-26 Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review Corr, Felix Grimm, Dustin Saß, Benjamin Pojskić, Mirza Bartsch, Jörg W. Carl, Barbara Nimsky, Christopher Bopp, Miriam H. A. J Pers Med Systematic Review Glioblastoma, as the most aggressive brain tumor, is associated with a poor prognosis and outcome. To optimize prognosis and clinical therapy decisions, there is an urgent need to stratify patients with increased risk for recurrent tumors and low therapeutic success to optimize individual treatment. Radiogenomics establishes a link between radiological and pathological information. This review provides a state-of-the-art picture illustrating the latest developments in the use of radiogenomic markers regarding prognosis and their potential for monitoring recurrence. Databases PubMed, Google Scholar, and Cochrane Library were searched. Inclusion criteria were defined as diagnosis of glioblastoma with histopathological and radiological follow-up. Out of 321 reviewed articles, 43 articles met these inclusion criteria. Included studies were analyzed for the frequency of radiological and molecular tumor markers whereby radiogenomic associations were analyzed. Six main associations were described: radiogenomic prognosis, MGMT status, IDH, EGFR status, molecular subgroups, and tumor location. Prospective studies analyzing prognostic features of glioblastoma together with radiological features are lacking. By reviewing the progress in the development of radiogenomic markers, we provide insights into the potential efficacy of such an approach for clinical routine use eventually enabling early identification of glioblastoma recurrence and therefore supporting a further personalized monitoring and treatment strategy. MDPI 2022-03-04 /pmc/articles/PMC8952807/ /pubmed/35330402 http://dx.doi.org/10.3390/jpm12030402 Text en © 2022 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 | Systematic Review Corr, Felix Grimm, Dustin Saß, Benjamin Pojskić, Mirza Bartsch, Jörg W. Carl, Barbara Nimsky, Christopher Bopp, Miriam H. A. Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review |
title | Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review |
title_full | Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review |
title_fullStr | Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review |
title_full_unstemmed | Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review |
title_short | Radiogenomic Predictors of Recurrence in Glioblastoma—A Systematic Review |
title_sort | radiogenomic predictors of recurrence in glioblastoma—a systematic review |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952807/ https://www.ncbi.nlm.nih.gov/pubmed/35330402 http://dx.doi.org/10.3390/jpm12030402 |
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