Comprehensive genomic profiling of brain tumors to provide targeted therapy options and diagnostic certainty for oligodendrogliomas.

Authors

null

Lee A. Albacker

Foundation Medicine, Cambridge, MA

Lee A. Albacker , Dean Pavlick , Jeffrey S. Ross , Glenn Jay Lesser , Robert John Corona , Howard Colman , Morris D. Groves , Sigmund H. Hsu , Andrew S. Chi , Vincent A. Miller , Garrett Michael Frampton , Shakti Ramkissoon

Organizations

Foundation Medicine, Cambridge, MA, Foundation Medicine, Inc., Cambridge, MA, SUNY Upstate Medical University, Syracuse, NY, Wake Forest Baptist Medical Center, Winston-Salem, NC, Hunstman Cancer Institute, Salt Lake City, UT, Texas Oncology - Austin Brain Tumor Center, Austin, TX, Mischer Neuroscience Associates, Houston, TX, NYU Langone Medical Center and School of Medicine, New York, NY, Foundation Medicine, Inc., Morrisville, NC

Research Funding

Pharmaceutical/Biotech Company

Background: Genomic profiling of gliomas is vital to ensure diagnostic accuracy, inform prognosis, and identify therapeutic options for primary and recurrent tumors. The integration of genomic biomarkers into brain tumor classification has advanced the development of molecularly stratified clinical trials and the need to characterize tumors by genomic signature. Methods: Comprehensive genomic profiling (CGP) was performed on FFPE material from 6304 consecutive cases of pediatric and adult brain tumors initially diagnosed by submitting institutions based on histology. We analyzed tumors via CGP in 395 cancer-associated genes (including IDH1/2) and for 1p/19q codeletion using a validated algorithm. Results: Of 6304 brain tumor samples, known IDH point mutations included 1182 IDH1 R132, 50 IDH2 R172, and 1 IDH2 R140 variants. In the IDH-mutant cohort, 1p/19q codeletion was detected in 72% (260/363) of histologically defined oligodendrogliomas (ODGs), 21% (17/82) of oligoastrocytomas (OAs), 6% (22/360) of glioma (NOS, not otherwise specified), 4% (2/50) of gliosarcomas, 3% (26/859) of astrocytomas (NOS), and 1% (32/3200) of glioblastomas. ODG with 1p/19q loss were enriched for TERT, CIC, and FUBP1 alterations, whereas 1p/19q intact tumors were enriched for TP53 and ATRX alterations. Actionable alterations in ODG included 8% (29/363) with high tumor mutational burden (potential immunotherapy responsiveness) and 15% (56/363) with PIK3CA mutation. Analysis of OA (mixed glioma) revealed genomic subtypes similar to well-defined gliomas including ODGs (IDH-mutant, 1p/19q loss, TERT, CIC, FUBP1), diffuse astrocytomas (IDH-mutant, TP53, ATRX), and high-grade gliomas (IDH-wild-type, EGFR, NF1). Conclusions: Using co-occurring IDH mutation and 1p/19q codeletion as the diagnostic signature of ODG, we show that as many as 25% may be misclassified on morphologic criteria alone. OAs exhibit genomic features of defined glioma subtypes, suggesting CGP may provide diagnostic clarity in this setting. This study highlights how CGP can improve diagnostic accuracy and provide additional treatment options for patients.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Central Nervous System Tumors

Track

Central Nervous System Tumors

Sub Track

Central Nervous System Tumors

Citation

J Clin Oncol 36, 2018 (suppl; abstr 2039)

DOI

10.1200/JCO.2018.36.15_suppl.2039

Abstract #

2039

Poster Bd #

197

Abstract Disclosures

Similar Abstracts

Abstract

2023 ASCO Annual Meeting

Mutation profiling of gliomas based on sex, age, and family history.

First Author: Xue Fan

Abstract

2020 ASCO Virtual Scientific Program

Genomic profiling identified novel prognostic biomarker in Chinsese glioma patients.

First Author: Hainan Li

First Author: Stephanie Lakritz