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North American Skull Base Society

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2025 Proffered Presentations

2025 Proffered Presentations

 

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S054: GENOMIC CHARACTERIZATION OF CHORDOMAS: INSIGHTS FROM A NATIONAL DATABASE
Beau Hsia, BS1; Saif Alshaka, BS1; Gabriel Bitar, BS1; Farhoud Faraji, MD, PhD2; Jeeho Kim, MD3; Bastien A Valencia, MD4; Danielle Levy, MD5; Michael L Levy, MD, PhD2; John Crawford, MD6; Mariko Sato, MD, PhD6; Sean Polster, MD7; Vijay A Patel, MD2; 1Creighton University School of Medicine; 2Division of Pediatric Otolaryngology, Rady Children's Hospital - San Diego; 3Naval Medical Center San Diego; 4Department of Otolaryngology - Head and Neck Surgery, Mayo Clinic, Jacksonville, Florida; 5Department of Neurosurgery, University of California San Diego, Rady Children's Hospital - San Diego; 6Pediatrics, University of California Irvine; 7Department of Neurosurgery, University of Chicago

Purpose: Chordomas are rare, malignant neoplasms that arise from remnants of the embryonic notochord along the axial skeleton, most commonly in the sacrum, skull base, and spine. Chordomas are characterized by their unique histopathological features, including physaliphorous cells, and have a distinctive immunohistochemical profile but have limited information on their somatic mutational landscape. The current treatment paradigm involves surgery or radiation therapy, as there are no FDA-approved drugs for chordoma. There remains great potential to discover targeted therapies against specific mutations in chordomas. In this study, a publicly available genomic database was used to profile the somatic mutational landscape of chordoma patients and interrogate differences based on their histological subtype.

Methods: The American Association for Cancer Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE)® database was accessed from cBioPortal (v16.1-public) on July 22, 2024 to identify all patients with chordoma. The most common gene mutations, gene correlations, and mutual exclusivities were assessed using a two-sided T-test and non-parametric tests, with Benjamini-Hochberg False Discovery Rate (FDR) correction.

Results: Of the 1437 collected bone cancer samples, 133 (9.2%) were chordoma. Of these samples, 14 (10.5%) were conventional chordoma, 3 (2.3%) were dedifferentiated chordoma, and 116 (87.2%) were not otherwise specified.  In this cohort, 18 (15.2%) patients were pediatric and the rest were adults (n=115; 84.8%). 85 (72.0%) patients were White, 8 (6.8%) were Asian, and 7 (5.9%) were Black. 66 (55.4%) patients were male and 53 (44.9%) were female. The top mutations in the cohort were: PBRM1 (n =10; 7.5%), ARID1A (n =10; 7.5%), TERT (n = 9; 7.1%), TP53 (n=8; 6.1%), SETD2 (n=7; 5.6%), and NOTCH2 (n=7; 5.6%). The majority (77.8%) of TERT mutations were the 5'flank type, resulting in promotor changes, and ARID1A (70.0%), TP53 (87.5%), and NOTCH2 (100%) were associated with missense mutations. In this cohort, PBRM1 mutations tended to co-occur with BRCA2 (2/10; p=0.027) and KMT2D (2/10; p=0.044), while KMT2D mutations tended to co-occur with BRCA2 (n=3/6; p < 0.001). There were no additional statistically significant mutual co-occurrence or mutual exclusivities. ARID1A, TERT, TP53, SETD2, and NOTCH2 were relatively mutually exclusive with only 1 (<0.1%) sample with more than 1 of these mutations. There were no significant clinical or genomic differences between pediatric and adult patients.

Conclusions: The study identified a distinct somatic mutational landscape in chordoma patients, with significant mutations in PBRM1, ARID1A, TERT, TP53, SETD2, and NOTCH2. Co-occurrence patterns, particularly involving PBRM1 with BRCA2 and KMT2D, highlight potential pathways of DNA repair and chromatin modification that may guide the development of novel therapies. However, there are limited clinical trials evaluating direct targeted therapies against the most common chordoma mutations. For example, biologics targeting chromatin remodeling mechanisms may serve as a potential future strategy for chordoma with PBRM1 mutations. Understanding these mutational profiles may inform the development of targeted therapies and improve clinical outcomes for chordoma patients.

 

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