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Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation
A growing body of evidence supports the presence of a population of cells in glioblastoma (GBM) with a stem cell-like phenotype which shares certain biological markers with adult neural stem cells, including expression of SOX2, CD133 (PROM1), and NES (nestin). This study was designed to determine th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636755/ https://www.ncbi.nlm.nih.gov/pubmed/36333778 http://dx.doi.org/10.1186/s40478-022-01459-9 |
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author | Lakis, Nelli S. Brodsky, Alexander S. Karashchuk, Galina Audesse, Amanda J. Yang, Dongfang Sturtevant, Ashlee Lombardo, Kara Wong, Ian Y. Webb, Ashley E. Anthony, Douglas C. |
author_facet | Lakis, Nelli S. Brodsky, Alexander S. Karashchuk, Galina Audesse, Amanda J. Yang, Dongfang Sturtevant, Ashlee Lombardo, Kara Wong, Ian Y. Webb, Ashley E. Anthony, Douglas C. |
author_sort | Lakis, Nelli S. |
collection | PubMed |
description | A growing body of evidence supports the presence of a population of cells in glioblastoma (GBM) with a stem cell-like phenotype which shares certain biological markers with adult neural stem cells, including expression of SOX2, CD133 (PROM1), and NES (nestin). This study was designed to determine the relationship between the expression of these stem cell markers and the clinical outcome in GBM patients. We quantified the intensity of expression of the proteins CD133 and SOX2 by immunohistochemistry (IHC) in a cohort of 86 patients with IDH-wildtype GBM, and evaluated patient outcomes using Kaplan–Meier and Cox proportional hazards analysis. In our patients, MGMT promoter methylation status and age were predictors of overall survival and progression free survival. The levels of SOX2 and CD133 were not associated with outcome in univariate analysis; however, stratification of tumors based on low or high levels of CD133 or SOX2 expression revealed that MGMT methylation was a predictor of progression-free survival and overall survival only for tumors with high levels of expression of CD133 or SOX2. Tumors with low levels of expression of CD133 or SOX2 did not show any relationship between MGMT methylation and survival. This relationship between MGMT and stem cell markers was confirmed in a second patient cohort, the TCGA dataset. Our results show that stratification of GBM by the level of expression of CD133 and SOX2 improved the prognostic power of MGMT promoter methylation status, identifying a low-expressing group in which the clinical outcome is not associated with MGMT promoter methylation status, and a high-expressing group in which the outcome was strongly associated with MGMT promoter methylation status. These findings support the concept that the presence of a high stem cell phenotype in GBM, as marked by expression of SOX2 or CD133, may be associated with the clinical response to treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-022-01459-9. |
format | Online Article Text |
id | pubmed-9636755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96367552022-11-06 Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation Lakis, Nelli S. Brodsky, Alexander S. Karashchuk, Galina Audesse, Amanda J. Yang, Dongfang Sturtevant, Ashlee Lombardo, Kara Wong, Ian Y. Webb, Ashley E. Anthony, Douglas C. Acta Neuropathol Commun Research A growing body of evidence supports the presence of a population of cells in glioblastoma (GBM) with a stem cell-like phenotype which shares certain biological markers with adult neural stem cells, including expression of SOX2, CD133 (PROM1), and NES (nestin). This study was designed to determine the relationship between the expression of these stem cell markers and the clinical outcome in GBM patients. We quantified the intensity of expression of the proteins CD133 and SOX2 by immunohistochemistry (IHC) in a cohort of 86 patients with IDH-wildtype GBM, and evaluated patient outcomes using Kaplan–Meier and Cox proportional hazards analysis. In our patients, MGMT promoter methylation status and age were predictors of overall survival and progression free survival. The levels of SOX2 and CD133 were not associated with outcome in univariate analysis; however, stratification of tumors based on low or high levels of CD133 or SOX2 expression revealed that MGMT methylation was a predictor of progression-free survival and overall survival only for tumors with high levels of expression of CD133 or SOX2. Tumors with low levels of expression of CD133 or SOX2 did not show any relationship between MGMT methylation and survival. This relationship between MGMT and stem cell markers was confirmed in a second patient cohort, the TCGA dataset. Our results show that stratification of GBM by the level of expression of CD133 and SOX2 improved the prognostic power of MGMT promoter methylation status, identifying a low-expressing group in which the clinical outcome is not associated with MGMT promoter methylation status, and a high-expressing group in which the outcome was strongly associated with MGMT promoter methylation status. These findings support the concept that the presence of a high stem cell phenotype in GBM, as marked by expression of SOX2 or CD133, may be associated with the clinical response to treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-022-01459-9. BioMed Central 2022-11-04 /pmc/articles/PMC9636755/ /pubmed/36333778 http://dx.doi.org/10.1186/s40478-022-01459-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lakis, Nelli S. Brodsky, Alexander S. Karashchuk, Galina Audesse, Amanda J. Yang, Dongfang Sturtevant, Ashlee Lombardo, Kara Wong, Ian Y. Webb, Ashley E. Anthony, Douglas C. Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation |
title | Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation |
title_full | Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation |
title_fullStr | Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation |
title_full_unstemmed | Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation |
title_short | Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation |
title_sort | stem cell phenotype predicts therapeutic response in glioblastomas with mgmt promoter methylation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636755/ https://www.ncbi.nlm.nih.gov/pubmed/36333778 http://dx.doi.org/10.1186/s40478-022-01459-9 |
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