Prospective, high-throughput molecular profiling of human gliomas

Andrew S. Chi, Tracy T. Batchelor, Dora Dias-Santagata, Darrell Borger, Charles D. Stiles, Daphne L. Wang, William T. Curry, Patrick Y. Wen, Keith L. Ligon, Leif Ellisen, David N. Louis, A. John Iafrate

Research output: Contribution to journalReview articlepeer-review

48 Scopus citations


Gliomas consist of multiple histologic and molecular subtypes with different clinical phenotypes and responsiveness to treatment. However, enrollment criteria for clinical trials still largely do not take into account these underlying molecular differences. We have incorporated a high-throughput tumor genotyping program based on the ABI SNaPshot platform as well as other molecular diagnostic tests into the standard evaluation of glioma patients in order to assess whether prospective molecular profiling would allow rational patient selection onto clinical trials. From 218 gliomas we prospectively collected SNaPshot genotyping data on 68 mutated loci from 15 key cancer genes along with data from clinical assays for gene amplification (EGFR, PDGFRA, MET), 1p/19q co-deletion and MGMT promoter methylation. SNaPshot mutations and focal gene amplifications were detected in 38.5 and 47.1 % of glioblastomas, respectively. Genetic alterations in EGFR, IDH1 and PIK3CA closely matched frequencies reported in recent studies. In addition, we identified events that are rare in gliomas although are known driver mutations in other cancer types, such as mutations of AKT1, BRAF and KRAS. Patients with genetic alterations that activate signaling pathways were enrolled onto genetically selective clinical trials for malignant glioma as well as for other solid cancers. High-throughput molecular profiling incorporated into the routine clinical evaluation of glioma patients may enable the rational selection of patients for targeted therapy clinical trials and thereby improve the likelihood that such trials succeed.

Original languageEnglish
Pages (from-to)89-98
Number of pages10
JournalJournal of Neuro-Oncology
Issue number1
StatePublished - Oct 2012


  • Biomarker
  • Glioblastoma
  • Glioma
  • Molecular profiling
  • Tumor genotyping


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