Genomic Exploration of Distinct Molecular Phenotypes Steering Temozolomide Resistance Development in Patient-Derived Glioblastoma Cells

Author:

Fabro Federica1ORCID,Kers Trisha V.1,Feller Kate J.2ORCID,Beerens Cecile2,Ntafoulis Ioannis1,Idbaih Ahmed3ORCID,Verreault Maite3ORCID,Connor Kate4ORCID,Biswas Archita4,Salvucci Manuela4,Prehn Jochen H. M.4,Byrne Annette T.4,O’Farrell Alice C.4ORCID,Lambrechts Diether5,Dilcan Gonca5,Lodi Francesca5,Arijs Ingrid5,Kremer Andreas6ORCID,Tching Chi Yen Romain67,Chien Miao-Ping28ORCID,Lamfers Martine L. M.1ORCID,Leenstra Sieger1

Affiliation:

1. Department of Neurosurgery Rotterdam, Brain Tumor Center, Erasmus Medical Center Cancer Institute, Erasmus Medical Center, Wytemaweg 80, Ee2236, 3015 CN Rotterdam, The Netherlands

2. Department of Molecular Genetics, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands

3. DMU Neurosciences, Service de Neurologie 2-Mazarin, Sorbonne Université, AP-HP, Institut du Cerveau—Paris Brain Institute—ICM, CNRS, University Hospital La Pitié Salpêtrière—Charles Foix, Inserm, F-75013 Paris, France

4. Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, D02 YN77 Dublin, Ireland

5. Department of Human Genetics, Laboratory for Translational Genetics, VIB Center for Cancer Biology, Katholieke Universiteit Leuven, 3000 Leuven, Belgium

6. Information Technologies for Translational Medicine, L-4354 Esch-Sur-Alzette, Luxembourg

7. Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4362 Esch-Belval Esch-Sur-Alzette, Luxembourg

8. Oncode Institute, 3521 AL Utrecht, The Netherlands

Abstract

Chemotherapy using temozolomide is the standard treatment for patients with glioblastoma. Despite treatment, prognosis is still poor largely due to the emergence of temozolomide resistance. This resistance is closely linked to the widely recognized inter- and intra-tumoral heterogeneity in glioblastoma, although the underlying mechanisms are not yet fully understood. To induce temozolomide resistance, we subjected 21 patient-derived glioblastoma cell cultures to Temozolomide treatment for a period of up to 90 days. Prior to treatment, the cells’ molecular characteristics were analyzed using bulk RNA sequencing. Additionally, we performed single-cell RNA sequencing on four of the cell cultures to track the evolution of temozolomide resistance. The induced temozolomide resistance was associated with two distinct phenotypic behaviors, classified as “adaptive” (ADA) or “non-adaptive” (N-ADA) to temozolomide. The ADA phenotype displayed neurodevelopmental and metabolic gene signatures, whereas the N-ADA phenotype expressed genes related to cell cycle regulation, DNA repair, and protein synthesis. Single-cell RNA sequencing revealed that in ADA cell cultures, one or more subpopulations emerged as dominant in the resistant samples, whereas N-ADA cell cultures remained relatively stable. The adaptability and heterogeneity of glioblastoma cells play pivotal roles in temozolomide treatment and contribute to the tumor’s ability to survive. Depending on the tumor’s adaptability potential, subpopulations with acquired resistance mechanisms may arise.

Funder

European Union’s Horizon 2020

Marie Skłodowska-Curie ITN initiative

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Reference55 articles.

1. Management of glioblastoma after recurrence: A changing paradigm;Mallick;J. Egypt. Natl. Cancer Inst.,2016

2. Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma;Stupp;N. Engl. J. Med.,2005

3. Induction of MGMT expression is associated with temozolomide resistance in glioblastoma xenografts;Kitange;Neuro-Oncol.,2009

4. Mechanisms of temozolomide resistance in glioblastoma—A comprehensive review;Singh;Cancer Drug Resist.,2021

5. The Different Mechanisms of Cancer Drug Resistance: A Brief Review;Mansoori;Adv. Pharm. Bull.,2017

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