Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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
_version_ 1784825022049681408
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
work_keys_str_mv AT lakisnellis stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT brodskyalexanders stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT karashchukgalina stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT audesseamandaj stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT yangdongfang stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT sturtevantashlee stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT lombardokara stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT wongiany stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT webbashleye stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation
AT anthonydouglasc stemcellphenotypepredictstherapeuticresponseinglioblastomaswithmgmtpromotermethylation