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
Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...

Retrieving...
