Study

Spatial and temporal genomic evolution in glioblastoma

Study ID Alternative Stable ID Type
EGAS00001001033 Other

Study Description

Tumor heterogeneity is a challenging barrier to successful targeted therapy in glioblastoma. Identifying the mechanisms that drive cancer cells as they genetically evolve and adapt in response to treatment is a vital goal of modern cancer research. Analysis of sequencing data provides a method for uncovering the mechanisms sustaining tumor heterogeneity and driving evolution. Here, we analyzed genomic profiles of GBM biopsies taken from pre- and post-treatment GBMs (with matched germline controls), to understand 1) the intratumoral clonal compositions of primary GBM and 2) how GBM responds to therapeutic intervention. Our results provide a molecular portrait of GBM recurrence.

Study Datasets 7 datasets.

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
EGAD00001001109
NA
Illumina HiSeq 2000 46
EGAD00001001110
NA
Illumina HiSeq 2000 46
EGAD00001001111
NA
Illumina HiSeq 2000 46
EGAD00001001112
NA
Illumina HiSeq 2000 46
EGAD00001001113
NA
Illumina HiSeq 2000 46
EGAD00010000654
Control samples using SNP 6.0 Arrays
1
EGAD00010000656
Case samples using SNP 6.0 Array
1

Who archives the data?

Publications

Citations

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