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

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posted on 2025-01-10, 16:36 authored by Ioannis Ntafoulis, Annette ByrneAnnette Byrne, Alice O'FarrellAlice O'Farrell, Kate Connor, Archita Biswas, Manuela Salvucci, Jochen PrehnJochen Prehn, Jane CryanJane Cryan, Francesca BrettFrancesca Brett, Alan Beausang, Orna Bacon, Steve MacNally, Philip O'Halloran, James Clerkin, Martine LM Lamfers

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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History

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 2023

PubMed ID

37620410

Department/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 UK

Version

  • Published Version (Version of Record)