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

Author:

Ntafoulis Ioannis,Kleijn Anne,Ju Jie,Jimenez-Cowell Kevin,Fabro Federica,Klein Michelle,Chi Yen Romain Tching,Balvers Rutger K.,Li YunleiORCID,Stubbs Andrew P.,Kers Trisha V.,Kros Johan M.,Lawler Sean E.,Beerepoot Laurens V.,Kremer Andreas,Idbaih Ahmed,Verreault Maite,Byrne Annette T.ORCID,O’Farrell Alice C.,Connor Kate,Biswas Archita,Salvucci Manuela,Prehn Jochen H. M.,Lambrechts DietherORCID,Dilcan Gonca,Lodi Francesca,Arijs Ingrid,van den Bent Martin J.ORCID,Dirven Clemens M. F.,Leenstra Sieger,Bielle Franck,Quissac Emie,Cryan Jane,Brett Francesca,Beausang Alan,Bacon Orna,MacNally Steve,O’Halloran Philip,Clerkin James,Lamfers Martine L. M.ORCID,

Abstract

Abstract 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.

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

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