GENE-12. ANALYSIS OF FAILURE PATTERNS IN MALIGNANT GLIOMA: EXPLORING THE GENETIC LANDSCAPE OF PATTERN OF FAILURE. (11th November 2019)

• Record Type: Journal Article
• Authors: Won Choi, Seung; Nam, Do-Hyun; Sa, Jason; Koo, Harim
• Is Part Of: Neuro-oncology. Volume 21(2019)Supplement 6
• Page Start: vi100
• Page End: vi100
• Publication Date: 2019-11-11
• Subjects: Brain Neoplasms -- Periodicals; Brain -- Tumors -- Periodicals; Brain -- Cancer -- Periodicals; Nervous system -- Cancer -- Periodicals; 616.99481
• DOI: 10.1093/neuonc/noz175.414
• Languages: English
• ISSNs: 1522-8517

Abstract

Abstract: Failure patterns in malignant gliomas have been described in previous literatures, however, studies were limited to analyze clinical features to account for predisposition to distinct failure patterns. Present study aimed to describe the landscape of failure patterns in malignant glioma from large cohort by integrating multi-omics data and investigate the genetic backgrounds of distinct failure patterns. A total of 423 cases from 325 patients who enrolled at the registry of IRCR at SMC were reviewed for their pattern of failure. Failure patterns were categorized into local, distant recurrence and leptomeningeal seeding regarding recurrent tumors' spatial relation to primary location. Genomic data was available for 327 (DNAseq) and 259 samples (RNAseq), respectively. Glioblastoma was the most prevalent histologic type in study cohort (81.2%)) and majority of cases experienced the recurrence (79.0%). None of clinical parameters (e.g. age, sex, extent of operation and history of prior therapy) failed to show any significant association with failure patterns. Although local recurrence was most prevalent (63.8%) among failure patterns in malignant gliomas, considerable portion of patients (37.8%) demonstrated other types of failure patterns even in their initial relapse. Multivariate analysis demonstrated that failure pattern was significant prognostic factor to overall survival (remote recurrence, HR=1.59, p-value=0.009; leptomeningeal seeding, HR=2.17, p-value< 0.001). Genomic analysis including mutational profile revealed distinct molecular landscape of malignant gliomas according to failure patterns, which suggested that innate biologic characteristics of tumors might contribute to develop distinct failure patterns upon recurrence. PTEN mutation was significantly enriched in tumors of distant recurrence (p-value=0.026). We described the landscape of failure patterns in malignant gliomas by integrating clinical and genomic data. Considerable amount of malignant glioma patients experienced distinct failure patterns other than local recurrence and their clinical outcome as well as genetic background demonstrated invasive characteristic of these tumors.