1. Deep sequencing of multiple regions of glial tumors reveals spatial heterogeneity for mutations in clinically relevant genes
- Author
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Mari Tokita, Choli Lee, Luis F. Gonzalez-Cuyar, Jay Shendure, Joseph B. Hiatt, Andrew Adey, Evan A. Boyle, Emily J. Girard, Andrei M. Mikheev, Akash Kumar, Daniel L. Silbergeld, John R. Silber, Michelle C Sanger, Donald E. Born, Robert C. Rostomily, James M. Olson, and Jacob O. Kitzman
- Subjects
Receptor, Platelet-Derived Growth Factor alpha ,Molecular Sequence Data ,Oligodendroglioma ,PDGFRA ,Biology ,Deep sequencing ,Genetic Heterogeneity ,Gene duplication ,medicine ,Humans ,Point Mutation ,Genetics ,Brain Neoplasms ,Genetic heterogeneity ,Research ,Point mutation ,Gene Amplification ,High-Throughput Nucleotide Sequencing ,Cancer ,Sequence Analysis, DNA ,medicine.disease ,Human genetics ,Salivary Proline-Rich Proteins ,3. Good health ,Proto-Oncogene Proteins c-kit ,Cancer research ,Tumor Suppressor Protein p53 ,Glioblastoma - Abstract
Background The extent of intratumoral mutational heterogeneity remains unclear in gliomas, the most common primary brain tumors, especially with respect to point mutation. To address this, we applied single molecule molecular inversion probes targeting 33 cancer genes to assay both point mutations and gene amplifications within spatially distinct regions of 14 glial tumors. Results We find evidence of regional mutational heterogeneity in multiple tumors, including mutations in TP53 and RB1 in an anaplastic oligodendroglioma and amplifications in PDGFRA and KIT in two glioblastomas (GBMs). Immunohistochemistry confirms heterogeneity of TP53 mutation and PDGFRA amplification. In all, 3 out of 14 glial tumors surveyed have evidence for heterogeneity for clinically relevant mutations. Conclusions Our results underscore the need to sample multiple regions in GBM and other glial tumors when devising personalized treatments based on genomic information, and furthermore demonstrate the importance of measuring both point mutation and copy number alteration while investigating genetic heterogeneity within cancer samples. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0530-z) contains supplementary material, which is available to authorized users.
- Published
- 2014
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