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Analysis of IDHwt-glioblastoma samples from paired primary and recurrent tumor samples

IDHwt-glioblastomas rapidly recur after initial treatment. To study genetic evolution in glioblastoma, we analyzed whole genomes of 21 pairs of primary and recurrent tumor samples using next generation sequencing. In addition we sequenced RNA from 16 tumor pairs and a panel of 50 glioma-associated genes in tumor pairs from 43 patients (including 14 of the 21 patients included in the WGS discovery set). Glioblastoma subtypes were determined using 450k/EPIC methylation arrays. This study was supported within the e:med program of the German Ministry of Education and Research (BMBF) by the collaborative research project ‘SYS-GLIO - Systems-based prediction of the biological and clinical behavior of gliomas’ (https://www.sys-med.de/de/demonstratoren/sys-glio/) This study is part of the Heidelberg Center for Personalized Oncology - HIPO-043

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001004563 HiSeq X Ten 63
EGAD00001004564 Illumina HiSeq 2000 32
EGAD00001004565 Ion Torrent Proton 86
EGAD00010001642 Illumina EPIC methylation bead array 25
EGAD00010001643 Illumina 450k methylation bead array 73
Publications Citations
Time-resolved, integrated analysis of clonally evolving genomes.
PLoS Genet 19: 2023 e1011085
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IDHwt glioblastomas can be stratified by their transcriptional response to standard treatment, with implications for targeted therapy.
Genome Biol 25: 2024 45
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