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 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.
Funding
GLIOTRAIN | Funder: EU Horizon 2020 | Grant ID: 766069
Foundation STOPbraintumors, the Erasmus MC Human Disease Model Award 2018
Exploiting GLIOblastoma intractability to address European research TRAINing needs in translational brain tumour research, cancer systems medicine and integrative multi-omics
European Commission
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Data Availability Statement
RNA sequencing data of the cell lines (n = 19) applied in this article is available in the Gene Expression Omnibus Repository: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE232173, Accession number: GSE232173. RNA sequencing data of associated parental tissues of Erasmus MC data set (n = 56) are available from the corresponding author upon reasonable request. RNA sequencing data of primary tissue data of the complete GLIOTRAIN data set (n = 126) will be made available in the European Genome-Phenome Archive Repository, pending completion of statutory trans-national confidentiality checks. The R code used to generate the results in this publication are freely available from our github: https://github.com/ ErasmusMC-Bioinformatics/tmz-analysis under the GNU General Public License v.3.0.Comments
The original article is available at https://www.nature.com/Published Citation
Ntafoulis I. et al. Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers. Br J Cancer. 2023;129(8):1327-1338.Publication Date
24 August 2023External DOI
PubMed ID
37620410Department/Unit
- Beaumont Hospital
- Centre for Systems Medicine
- Pathology
- Physiology and Medical Physics
Research Area
- Neurological and Psychiatric Disorders
- Cancer
Publisher
Nature Publishing Group on behalf of Cancer Research UKVersion
- Published Version (Version of Record)