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Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers

BACKGROUND: Patient-derived glioma stem-like cells (GSCs) have become the gold-standard in neuro-oncological research; however, it remains to be established whether loss of in situ microenvironment affects the clinically-predictive value of this model. We implemented a GSC monolayer system to invest...

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Autores principales: Ntafoulis, Ioannis, Kleijn, Anne, Ju, Jie, Jimenez-Cowell, Kevin, Fabro, Federica, Klein, Michelle, Chi Yen, Romain Tching, Balvers, Rutger K., Li, Yunlei, Stubbs, Andrew P., Kers, Trisha V., Kros, Johan M., Lawler, Sean E., Beerepoot, Laurens V., Kremer, Andreas, Idbaih, Ahmed, Verreault, Maite, Byrne, Annette T., O’Farrell, Alice C., Connor, Kate, Biswas, Archita, Salvucci, Manuela, Prehn, Jochen H. M., Lambrechts, Diether, Dilcan, Gonca, Lodi, Francesca, Arijs, Ingrid, van den Bent, Martin J., Dirven, Clemens M. F., Leenstra, Sieger, Lamfers, Martine L. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575865/
https://www.ncbi.nlm.nih.gov/pubmed/37620410
http://dx.doi.org/10.1038/s41416-023-02402-y
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author Ntafoulis, Ioannis
Kleijn, Anne
Ju, Jie
Jimenez-Cowell, Kevin
Fabro, Federica
Klein, Michelle
Chi Yen, Romain Tching
Balvers, Rutger K.
Li, Yunlei
Stubbs, Andrew P.
Kers, Trisha V.
Kros, Johan M.
Lawler, Sean E.
Beerepoot, Laurens V.
Kremer, Andreas
Idbaih, Ahmed
Verreault, Maite
Byrne, Annette T.
O’Farrell, Alice C.
Connor, Kate
Biswas, Archita
Salvucci, Manuela
Prehn, Jochen H. M.
Lambrechts, Diether
Dilcan, Gonca
Lodi, Francesca
Arijs, Ingrid
van den Bent, Martin J.
Dirven, Clemens M. F.
Leenstra, Sieger
Lamfers, Martine L. M.
author_facet Ntafoulis, Ioannis
Kleijn, Anne
Ju, Jie
Jimenez-Cowell, Kevin
Fabro, Federica
Klein, Michelle
Chi Yen, Romain Tching
Balvers, Rutger K.
Li, Yunlei
Stubbs, Andrew P.
Kers, Trisha V.
Kros, Johan M.
Lawler, Sean E.
Beerepoot, Laurens V.
Kremer, Andreas
Idbaih, Ahmed
Verreault, Maite
Byrne, Annette T.
O’Farrell, Alice C.
Connor, Kate
Biswas, Archita
Salvucci, Manuela
Prehn, Jochen H. M.
Lambrechts, Diether
Dilcan, Gonca
Lodi, Francesca
Arijs, Ingrid
van den Bent, Martin J.
Dirven, Clemens M. F.
Leenstra, Sieger
Lamfers, Martine L. M.
author_sort Ntafoulis, Ioannis
collection PubMed
description BACKGROUND: Patient-derived glioma stem-like cells (GSCs) have become the gold-standard in neuro-oncological research; however, it remains to be established whether loss of in situ microenvironment affects the clinically-predictive value of this model. We implemented a GSC monolayer system to investigate in situ-in vitro molecular correspondence and the relationship between in vitro and patient response to temozolomide (TMZ). METHODS: DNA/RNA-sequencing was performed on 56 glioblastoma tissues and 19 derived GSC cultures. Sensitivity to TMZ was screened across 66 GSC cultures. Viability readouts were related to clinical parameters of corresponding patients and whole-transcriptome data. RESULTS: Tumour DNA and RNA sequences revealed strong similarity to corresponding GSCs despite loss of neuronal and immune interactions. In vitro TMZ screening yielded three response categories which significantly correlated with patient survival, therewith providing more specific prediction than the binary MGMT marker. Transcriptome analysis identified 121 genes related to TMZ sensitivity of which 21were validated in external datasets. CONCLUSION: GSCs retain patient-unique hallmark gene expressions despite loss of their natural environment. Drug screening using GSCs predicted patient response to TMZ more specifically than MGMT status, while transcriptome analysis identified potential biomarkers for this response. GSC drug screening therefore provides a tool to improve drug development and precision medicine for glioblastoma.
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spelling pubmed-105758652023-10-15 Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers Ntafoulis, Ioannis Kleijn, Anne Ju, Jie Jimenez-Cowell, Kevin Fabro, Federica Klein, Michelle Chi Yen, Romain Tching Balvers, Rutger K. Li, Yunlei Stubbs, Andrew P. Kers, Trisha V. Kros, Johan M. Lawler, Sean E. Beerepoot, Laurens V. Kremer, Andreas Idbaih, Ahmed Verreault, Maite Byrne, Annette T. O’Farrell, Alice C. Connor, Kate Biswas, Archita Salvucci, Manuela Prehn, Jochen H. M. Lambrechts, Diether Dilcan, Gonca Lodi, Francesca Arijs, Ingrid van den Bent, Martin J. Dirven, Clemens M. F. Leenstra, Sieger Lamfers, Martine L. M. Br J Cancer Article BACKGROUND: Patient-derived glioma stem-like cells (GSCs) have become the gold-standard in neuro-oncological research; however, it remains to be established whether loss of in situ microenvironment affects the clinically-predictive value of this model. We implemented a GSC monolayer system to investigate in situ-in vitro molecular correspondence and the relationship between in vitro and patient response to temozolomide (TMZ). METHODS: DNA/RNA-sequencing was performed on 56 glioblastoma tissues and 19 derived GSC cultures. Sensitivity to TMZ was screened across 66 GSC cultures. Viability readouts were related to clinical parameters of corresponding patients and whole-transcriptome data. RESULTS: Tumour DNA and RNA sequences revealed strong similarity to corresponding GSCs despite loss of neuronal and immune interactions. In vitro TMZ screening yielded three response categories which significantly correlated with patient survival, therewith providing more specific prediction than the binary MGMT marker. Transcriptome analysis identified 121 genes related to TMZ sensitivity of which 21were validated in external datasets. CONCLUSION: GSCs retain patient-unique hallmark gene expressions despite loss of their natural environment. Drug screening using GSCs predicted patient response to TMZ more specifically than MGMT status, while transcriptome analysis identified potential biomarkers for this response. GSC drug screening therefore provides a tool to improve drug development and precision medicine for glioblastoma. Nature Publishing Group UK 2023-08-24 2023-10-12 /pmc/articles/PMC10575865/ /pubmed/37620410 http://dx.doi.org/10.1038/s41416-023-02402-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ntafoulis, Ioannis
Kleijn, Anne
Ju, Jie
Jimenez-Cowell, Kevin
Fabro, Federica
Klein, Michelle
Chi Yen, Romain Tching
Balvers, Rutger K.
Li, Yunlei
Stubbs, Andrew P.
Kers, Trisha V.
Kros, Johan M.
Lawler, Sean E.
Beerepoot, Laurens V.
Kremer, Andreas
Idbaih, Ahmed
Verreault, Maite
Byrne, Annette T.
O’Farrell, Alice C.
Connor, Kate
Biswas, Archita
Salvucci, Manuela
Prehn, Jochen H. M.
Lambrechts, Diether
Dilcan, Gonca
Lodi, Francesca
Arijs, Ingrid
van den Bent, Martin J.
Dirven, Clemens M. F.
Leenstra, Sieger
Lamfers, Martine L. M.
Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers
title Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers
title_full Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers
title_fullStr Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers
title_full_unstemmed Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers
title_short Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers
title_sort ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575865/
https://www.ncbi.nlm.nih.gov/pubmed/37620410
http://dx.doi.org/10.1038/s41416-023-02402-y
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