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Resolving the phylogenetic origin of glioblastoma via multifocal genomic analysis of pre-treatment and treatment-resistant autopsy specimens
- Source :
- npj Precision Oncology, Vol 1, Iss 1, Pp 1-8 (2017), NPJ Precision Oncology
- Publication Year :
- 2017
- Publisher :
- Nature Publishing Group, 2017.
-
Abstract
- Glioblastomas are malignant neoplasms composed of diverse cell populations. This intratumoral diversity has an underlying architecture, with a hierarchical relationship through clonal evolution from a common ancestor. Therapies are limited by emergence of resistant subclones from this phylogenetic reservoir. To characterize this clonal ancestral origin of recurrent tumors, we determined phylogenetic relationships using whole exome sequencing of pre-treatment IDH1/2 wild-type glioblastoma specimens, matched to post-treatment autopsy samples (n = 9) and metastatic extracranial post-treatment autopsy samples (n = 3). We identified “truncal” genetic events common to the evolutionary ancestry of the initial specimen and later recurrences, thereby inferring the identity of the precursor cell population. Mutations were identified in a subset of cases in known glioblastoma genes such as NF1(n = 3), TP53(n = 4) and EGFR(n = 5). However, by phylogenetic analysis, there were no protein-coding mutations as recurrent truncal events across the majority of cases. In contrast, whole copy-loss of chromosome 10 (12 of 12 cases), copy-loss of chromosome 9p21 (11 of 12 cases) and copy-gain in chromosome 7 (10 of 12 cases) were identified as shared events in the majority of cases. Strikingly, mutations in the TERT promoter were also identified as shared events in all evaluated pairs (9 of 9). Thus, we define four truncal non-coding genomic alterations that represent early genomic events in gliomagenesis, that identify the persistent cellular reservoir from which glioblastoma recurrences emerge. Therapies to target these key early genomic events are needed. These findings offer an evolutionary explanation for why precision therapies that target protein-coding mutations lack efficacy in GBM.<br />Brain cancer: Non-coding genomic changes fuel glioblastoma growth Non-coding and structural alterations may be early drivers of brain cancer development. A team led by Priscilla Brastianos and Tracy Batchelor from Massachusetts General Hospital, Boston, USA, analyzed the genetic landscape of glioblastoma by comparing pre-treatment and autopsy tumor specimens from 12 patients who died of the aggressive brain cancer. They identified a common set of four genetic events that occurred early in the evolution of nearly every patient’s cancer: three losses or gains of chromosome regions or entire chromosomes, and mutations in the gene-activating promoter of TERT, which encodes an enzyme implicated in the cancer’s growth. The findings help explain why therapies that target protein-coding mutations don’t work in brain cancer when they do in other tumor types. They also point to new drug targets.
- Subjects :
- 0301 basic medicine
Chromosome 7 (human)
Genetics
Cancer Research
education.field_of_study
IDH1
Phylogenetic tree
Population
Cancer
Biology
medicine.disease
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Somatic evolution in cancer
lcsh:RC254-282
Article
Human genetics
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
Oncology
030220 oncology & carcinogenesis
medicine
education
Exome sequencing
Subjects
Details
- Language :
- English
- Volume :
- 1
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- npj Precision Oncology
- Accession number :
- edsair.doi.dedup.....f1b2ae6568da541b320de717ceed440d