Genomic Correlates of Disease Progression and Treatment Response in Prospectively Characterized Gliomas

Philip Jonsson(Memorial Sloan Kettering Cancer Center), Andrew Lin(Memorial Sloan Kettering Cancer Center), Robert J. Young(Memorial Sloan Kettering Cancer Center), Natalie M. DiStefano(Memorial Sloan Kettering Cancer Center), David M. Hyman(Memorial Sloan Kettering Cancer Center), Bob T. Li(Memorial Sloan Kettering Cancer Center), Michael F. Berger(Memorial Sloan Kettering Cancer Center), Ahmet Zehir(Memorial Sloan Kettering Cancer Center), Marc Ladanyi(Memorial Sloan Kettering Cancer Center), David B. Solit(Memorial Sloan Kettering Cancer Center), Angela G. Arnold(Memorial Sloan Kettering Cancer Center), Zsofia K. Stadler(Memorial Sloan Kettering Cancer Center), Diana Mandelker(Memorial Sloan Kettering Cancer Center), Michael E. Goldberg(GlobalFoundries (United States)), Juliann Chmielecki(GlobalFoundries (United States)), Maryam Pourmaleki(Memorial Sloan Kettering Cancer Center), Shahiba Ogilvie(Memorial Sloan Kettering Cancer Center), Shweta S. Chavan(Memorial Sloan Kettering Cancer Center), Andrew T. McKeown(Memorial Sloan Kettering Cancer Center), Malbora Manne(Memorial Sloan Kettering Cancer Center), Allison Hyde(Memorial Sloan Kettering Cancer Center), Kathryn Beal(Memorial Sloan Kettering Cancer Center), Jonathan T. Yang(Memorial Sloan Kettering Cancer Center), Craig Nolan(Memorial Sloan Kettering Cancer Center), Elena Pentsova(Memorial Sloan Kettering Cancer Center), Antonio Omuro(Memorial Sloan Kettering Cancer Center), Igor T. Gavrilovic(Memorial Sloan Kettering Cancer Center), Thomas Kaley(Memorial Sloan Kettering Cancer Center), Eli L. Diamond(Memorial Sloan Kettering Cancer Center), Jacqueline Stone(Memorial Sloan Kettering Cancer Center), Christian Grommes(Memorial Sloan Kettering Cancer Center), Adrienne Boire(Memorial Sloan Kettering Cancer Center), Mariza Daras(Memorial Sloan Kettering Cancer Center), Anna F. Piotrowski(Memorial Sloan Kettering Cancer Center), Alexandra Miller(Memorial Sloan Kettering Cancer Center), Philip H. Gutin(Memorial Sloan Kettering Cancer Center), Timothy A. Chan(Memorial Sloan Kettering Cancer Center), Viviane Tabar(Memorial Sloan Kettering Cancer Center), Cameron Brennan(Memorial Sloan Kettering Cancer Center), Marc K. Rosenblum(Memorial Sloan Kettering Cancer Center), Lisa M. DeAngelis(Memorial Sloan Kettering Cancer Center), Ingo K. Mellinghoff(Memorial Sloan Kettering Cancer Center), Barry S. Taylor(Memorial Sloan Kettering Cancer Center)
Clinical Cancer Research
July 1, 2019
Cited by 155Open Access
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Abstract

Abstract Purpose: The genomic landscape of gliomas has been characterized and now contributes to disease classification, yet the relationship between molecular profile and disease progression and treatment response remain poorly understood. Experimental Design: We integrated prospective clinical sequencing of 1,004 primary and recurrent tumors from 923 glioma patients with clinical and treatment phenotypes. Results: Thirteen percent of glioma patients harbored a pathogenic germline variant, including a subset associated with heritable genetic syndromes and variants mediating DNA repair dysfunctions (29% of the total) that were associated with somatic biallelic inactivation and mechanism-specific somatic phenotypes. In astrocytomas, genomic alterations in effectors of cell-cycle progression correlated with aggressive disease independent of IDH mutation status, arose preferentially in enhancing tumors (44% vs. 8%, P < 0.001), were associated with rapid disease progression following tumor recurrence (HR = 2.6, P = 0.02), and likely preceded the acquisition of alkylating therapy-associated somatic hypermutation. Thirty-two percent of patients harbored a potentially therapeutically actionable lesion, of whom 11% received targeted therapies. In BRAF-mutant gliomas, response to agents targeting the RAF/MEK/ERK signaling axis was influenced by the type of mutation, its clonality, and its cellular and genomic context. Conclusions: These data reveal genomic correlates of disease progression and treatment response in diverse types of glioma and highlight the potential utility of incorporating genomic information into the clinical decision-making for patients with glioma.


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