Abstract 2860: High-resolution mapping of oncogenic structural changes in osteosarcoma
Authors: Andrew Scott Clugston, Stan Leung, Eunice Fuentes, Leanne Sayles, Megan Ostrowski, Coco Wu, Christina Curtis, Zhicheng Ma, Yanding Zhao, Georgi K. Marinov, Vijay Ramani, Marcus Breese, Alejandro Sweet-Cordero
Journal: Cancer Research (2024)

Abstract We have leveraged long-read and spatial sequencing modalities to identify cancer-specific oncogenic alterations for treatment of osteosarcomas. Osteosarcoma is archetypal of cancers driven by aneuploidy and structural rearrangement rather than point mutations. The functional consequences of many SVs stem from their effect on multidimensional genome organization. SVs can enable enhancer hijacking, alter boundaries of topologically associated domains (TADs), and move gene loci to different regulatory compartments to affect gene expression. SVs can also lead to the formation of extrachromosomal DNA amplicons (ecDNA), which can be megabases in size and can incorporate both genes and regulatory elements to result in substantial increases in gene transcription and intratumor heterogeneity. Complex SVs may have profound implications for prognosis and treatment in OS and other cancers yet they remain poorly understood. By incorporating long-read optical genome mapping (OGM) and chromatin conformation capture sequencing (HiC), we studied SVs in osteosarcoma with the goal of elucidating their contribution to cancer development. We used a unique panel of 11 OS patient-derived xenograft (PDX) cell lines which have been previously characterized regarding response to targeted therapies as well as genomically via whole genome (WGS), RNA (RNA-seq), and chromatin accessibility (ATAC-seq) sequencing. To understand the complex genomic reorganization that occurs in osteosarcoma, we integrated OGM and WGS data for all 11 cell lines to describe detailed genome-wide SVs including ecDNA formation. PDX lines assayed using OGM exhibited between 106 and 704 translocations each (versus zero detected in germline controls) and we identified dozens of potential ecDNA amplicons, including one amplicon which may explain exceptionally high expression of YAP1 and BIRC3 transcripts. Further, we used HiC to describe the topological environment resulting from these SVs and observed potential enhancer hijacking events affecting dozens of known oncogenes including MYC and CDK4. HiC interaction maps among six cell lines reveal genomic compartments and TAD boundaries in detail, with 4,167 unique TAD boundaries identified among six cell lines using 50kb genomic bins. Despite the observed complexity of these genomes, we note that 71% of TAD boundaries are consistent in at least four of the six HiC assayed cell lines, and 44% are present in all six lines. Changing TAD boundaries are associated with numerous SVs and/or copy number discrepancies, and are associated with genomic regions that contain genes with dysregulated RNA transcript levels. Overall, OGM and HiC modalities add considerably to our ability to detect oncogenic SVs and the genes they affect. Citation Format: Andrew Scott Clugston, Stan Leung, Eunice Fuentes, Leanne Sayles, Megan Ostrowski, Coco Wu, Christina Curtis, Zhicheng Ma, Yanding Zhao, Georgi K. Marinov, Vijay Ramani, Marcus Breese, Alejandro Sweet-Cordero. High-resolution mapping of oncogenic structural changes in osteosarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2860.