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Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry

Most patients with glioblastoma (GBM) die within 2 years. A major therapeutic goal is to target GBM stem cells (GSCs), a subpopulation of cells that contribute to treatment resistance and recurrence. Since their discovery in 2003, GSCs have been isolated using single-surface markers, such as CD15, C...

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Autores principales: Galdieri, Luciano, Jash, Arijita, Malkova, Olga, Mao, Diane D., DeSouza, Patrick, Chu, Yunli E., Salter, Amber, Campian, Jian L., Naegle, Kristen M., Brennan, Cameron W., Wakimoto, Hiroaki, Oh, Stephen T., Kim, Albert H., Chheda, Milan G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934942/
https://www.ncbi.nlm.nih.gov/pubmed/33400685
http://dx.doi.org/10.1172/jci.insight.128456
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author Galdieri, Luciano
Jash, Arijita
Malkova, Olga
Mao, Diane D.
DeSouza, Patrick
Chu, Yunli E.
Salter, Amber
Campian, Jian L.
Naegle, Kristen M.
Brennan, Cameron W.
Wakimoto, Hiroaki
Oh, Stephen T.
Kim, Albert H.
Chheda, Milan G.
author_facet Galdieri, Luciano
Jash, Arijita
Malkova, Olga
Mao, Diane D.
DeSouza, Patrick
Chu, Yunli E.
Salter, Amber
Campian, Jian L.
Naegle, Kristen M.
Brennan, Cameron W.
Wakimoto, Hiroaki
Oh, Stephen T.
Kim, Albert H.
Chheda, Milan G.
author_sort Galdieri, Luciano
collection PubMed
description Most patients with glioblastoma (GBM) die within 2 years. A major therapeutic goal is to target GBM stem cells (GSCs), a subpopulation of cells that contribute to treatment resistance and recurrence. Since their discovery in 2003, GSCs have been isolated using single-surface markers, such as CD15, CD44, CD133, and α(6) integrin. It remains unknown how these single-surface marker–defined GSC populations compare with each other in terms of signaling and function and whether expression of different combinations of these markers is associated with different functional capacity. Using mass cytometry and fresh operating room specimens, we found 15 distinct GSC subpopulations in patients, and they differed in their MEK/ERK, WNT, and AKT pathway activation status. Once in culture, some subpopulations were lost and previously undetectable ones materialized. GSCs that highly expressed all 4 surface markers had the greatest self-renewal capacity, WNT inhibitor sensitivity, and in vivo tumorigenicity. This work highlights the potential signaling and phenotypic diversity of GSCs. Larger patient sample sizes and antibody panels are required to confirm these findings.
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spelling pubmed-79349422021-03-09 Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry Galdieri, Luciano Jash, Arijita Malkova, Olga Mao, Diane D. DeSouza, Patrick Chu, Yunli E. Salter, Amber Campian, Jian L. Naegle, Kristen M. Brennan, Cameron W. Wakimoto, Hiroaki Oh, Stephen T. Kim, Albert H. Chheda, Milan G. JCI Insight Research Article Most patients with glioblastoma (GBM) die within 2 years. A major therapeutic goal is to target GBM stem cells (GSCs), a subpopulation of cells that contribute to treatment resistance and recurrence. Since their discovery in 2003, GSCs have been isolated using single-surface markers, such as CD15, CD44, CD133, and α(6) integrin. It remains unknown how these single-surface marker–defined GSC populations compare with each other in terms of signaling and function and whether expression of different combinations of these markers is associated with different functional capacity. Using mass cytometry and fresh operating room specimens, we found 15 distinct GSC subpopulations in patients, and they differed in their MEK/ERK, WNT, and AKT pathway activation status. Once in culture, some subpopulations were lost and previously undetectable ones materialized. GSCs that highly expressed all 4 surface markers had the greatest self-renewal capacity, WNT inhibitor sensitivity, and in vivo tumorigenicity. This work highlights the potential signaling and phenotypic diversity of GSCs. Larger patient sample sizes and antibody panels are required to confirm these findings. American Society for Clinical Investigation 2021-02-22 /pmc/articles/PMC7934942/ /pubmed/33400685 http://dx.doi.org/10.1172/jci.insight.128456 Text en © 2021 Galdieri et al. http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Galdieri, Luciano
Jash, Arijita
Malkova, Olga
Mao, Diane D.
DeSouza, Patrick
Chu, Yunli E.
Salter, Amber
Campian, Jian L.
Naegle, Kristen M.
Brennan, Cameron W.
Wakimoto, Hiroaki
Oh, Stephen T.
Kim, Albert H.
Chheda, Milan G.
Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry
title Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry
title_full Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry
title_fullStr Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry
title_full_unstemmed Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry
title_short Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry
title_sort defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934942/
https://www.ncbi.nlm.nih.gov/pubmed/33400685
http://dx.doi.org/10.1172/jci.insight.128456
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