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      Generation, characterization, and drug sensitivities of 12 patient-derived IDH1-mutant glioma cell cultures

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          Abstract

          Background

          Mutations of the isocitrate dehydrogenase ( IDH) gene occur in over 80% of low-grade gliomas and secondary glioblastomas. Despite considerable efforts, endogenous in vitro IDH-mutated glioma models remain scarce. Availability of these models is key for the development of new therapeutic interventions.

          Methods

          Cell cultures were established from fresh tumor material and expanded in serum-free culture media. D-2-Hydroxyglutarate levels were determined by mass spectrometry. Genomic and transcriptomic profiling were carried out on the Illumina Novaseq platform, methylation profiling was performed with the Infinium MethylationEpic BeadChip array. Mitochondrial respiration was measured with the Seahorse XF24 Analyzer. Drug screens were performed with an NIH FDA-approved anti-cancer drug set and two IDH-mutant specific inhibitors.

          Results

          A set of twelve patient-derived IDHmt cell cultures was established. We confirmed high concordance in driver mutations, copy numbers and methylation profiles between the tumors and derived cultures. Homozygous deletion of CDKN2A/B was observed in all cultures. IDH-mutant cultures had lower mitochondrial reserve capacity. IDH-mutant specific inhibitors did not affect cell viability or global gene expression. Screening of 107 FDA-approved anti-cancer drugs identified nine compounds with potent activity against IDHmt gliomas, including three compounds with favorable pharmacokinetic characteristics for CNS penetration: teniposide, omacetaxine mepesuccinate, and marizomib.

          Conclusions

          Our twelve IDH-mutant cell cultures show high similarity to the parental tissues and offer a unique tool to study the biology and drug sensitivities of high-grade IDHmt gliomas in vitro. Our drug screening studies reveal lack of sensitivity to IDHmt inhibitors, but sensitivity to a set of nine available anti-cancer agents.

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          Most cited references52

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          Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

          Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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            Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

            The recently released Infinium HumanMethylation450 array (the '450k' array) provides a high-throughput assay to quantify DNA methylation (DNAm) at ∼450 000 loci across a range of genomic features. Although less comprehensive than high-throughput sequencing-based techniques, this product is more cost-effective and promises to be the most widely used DNAm high-throughput measurement technology over the next several years. Here we describe a suite of computational tools that incorporate state-of-the-art statistical techniques for the analysis of DNAm data. The software is structured to easily adapt to future versions of the technology. We include methods for preprocessing, quality assessment and detection of differentially methylated regions from the kilobase to the megabase scale. We show how our software provides a powerful and flexible development platform for future methods. We also illustrate how our methods empower the technology to make discoveries previously thought to be possible only with sequencing-based methods. http://bioconductor.org/packages/release/bioc/html/minfi.html. khansen@jhsph.edu; rafa@jimmy.harvard.edu Supplementary data are available at Bioinformatics online.
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              The somatic genomic landscape of glioblastoma.

              We describe the landscape of somatic genomic alterations based on multidimensional and comprehensive characterization of more than 500 glioblastoma tumors (GBMs). We identify several novel mutated genes as well as complex rearrangements of signature receptors, including EGFR and PDGFRA. TERT promoter mutations are shown to correlate with elevated mRNA expression, supporting a role in telomerase reactivation. Correlative analyses confirm that the survival advantage of the proneural subtype is conferred by the G-CIMP phenotype, and MGMT DNA methylation may be a predictive biomarker for treatment response only in classical subtype GBM. Integrative analysis of genomic and proteomic profiles challenges the notion of therapeutic inhibition of a pathway as an alternative to inhibition of the target itself. These data will facilitate the discovery of therapeutic and diagnostic target candidates, the validation of research and clinical observations and the generation of unanticipated hypotheses that can advance our molecular understanding of this lethal cancer. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Neurooncol Adv
                Neurooncol Adv
                noa
                Neuro-oncology Advances
                Oxford University Press (US )
                2632-2498
                Jan-Dec 2021
                02 August 2021
                02 August 2021
                : 3
                : 1
                : vdab103
                Affiliations
                [1 ]Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, Zuid-Holland, The Netherlands
                [2 ]Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, Zuid-Holland, The Netherlands
                [3 ]Department of Molecular Genetics, Erasmus University Medical Center , Rotterdam, Zuid-Holland, The Netherlands
                [4 ]Department of Biology, Faculty of Natural Sciences, Universidad del Rosario , Bogotá,Colombia
                [5 ]Information Technologies for Translational Medicine (ITTM) , Esch-Sur-Alzette, Luxembourg
                [6 ]Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg , Esch-Sur-Alzette,Luxembourg
                [7 ]Metabolic Unit, Department of Clinical Chemistry, Amsterdam University Medical Center , Noord-Holland, The Netherlands
                [8 ]Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, Zuid-Holland, The Netherlands
                [9 ]Department of Hospital Pharmacy, Erasmus University Medical Center , Rotterdam, Zuid-Holland, The Netherlands
                Author notes
                Corresponding Author: Martine L. M. Lamfers, PhD, Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus University Medical Center, Wytemaweg 80, Ee2236, 3015 CN Rotterdam, The Netherlands ( m.lamfers@ 123456erasmusmc.nl ).

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-7745-9029
                Article
                vdab103
                10.1093/noajnl/vdab103
                8478778
                34595478
                4cece8ef-0340-4d9e-ae5f-92aefbb55c6b
                © The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 29 September 2021
                Page count
                Pages: 14
                Funding
                Funded by: Stichting STOPHersentumoren;
                Funded by: Strijd van Salland;
                Funded by: European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska-Curie;
                Award ID: 766069
                Funded by: Erasmus Foundation-Brain Tumor Survival Marathon;
                Categories
                Basic and Translational Investigations
                AcademicSubjects/MED00300
                AcademicSubjects/MED00310

                drug repurposing,glioma,idh1,patient-derived cell culture,preclinical models

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