Need Help?

Spatial and temporal genomic evolution in glioblastoma

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.

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 Illumina HiSeq 2000 46
EGAD00001001110 Illumina HiSeq 2000 46
EGAD00001001111 Illumina HiSeq 2000 46
EGAD00001001112 Illumina HiSeq 2000 46
EGAD00001001113 Illumina HiSeq 2000 46
EGAD00010000654 1
EGAD00010000656 1
Publications Citations
Whole-genome and multisector exome sequencing of primary and post-treatment glioblastoma reveals patterns of tumor evolution.
Genome Res 25: 2015 316-327
255
Clonal evolution of glioblastoma under therapy.
Nat Genet 48: 2016 768-776
421
Between-region genetic divergence reflects the mode and tempo of tumor evolution.
Nat Genet 49: 2017 1015-1024
80
Tumor Evolution of Glioma-Intrinsic Gene Expression Subtypes Associates with Immunological Changes in the Microenvironment.
Cancer Cell 32: 2017 42-56.e6
987
Clonal replacement and heterogeneity in breast tumors treated with neoadjuvant HER2-targeted therapy.
Nat Commun 10: 2019 657
32
Very low mutation burden is a feature of inflamed recurrent glioblastomas responsive to cancer immunotherapy.
Nat Commun 12: 2021 352
74
Pathway-based classification of glioblastoma uncovers a mitochondrial subtype with therapeutic vulnerabilities.
Nat Cancer 2: 2021 141-156
157
Glioma progression is shaped by genetic evolution and microenvironment interactions.
Cell 185: 2022 2184-2199.e16
163
Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma.
Genome Med 15: 2023 16
6
Glioblastoma heterogeneity at single cell resolution.
Oncogene 42: 2023 2155-2165
32