STEM-07. CONSERVATION AND FAITHFUL REPRESENTATION OF CIRCULAR EXTRACHROMOSOMAL DNA IN ORTHOTOPIC PATIENT-DERIVED MEDULLOBLASTOMA XENOGRAFTS

Abstract

Abstract BACKGROUND Extrachromosomal DNA (ecDNA) drives tumor heterogeneity and correlates with poor survival across various cancer types. Patient-derived xenograft (PDX) models facilitate preclinical drug testing in vivo, enabling tumor growth analysis and molecular tumor profiling. These models, combined with single-cell profiling, offer insights into intratumoral heterogeneity under therapeutic pressure and the emergence of drug resistance. We investigate the abundance and conservation of ecDNA in PDX models to assess the faithful representation of ecDNA compared to their corresponding primary tumors. METHODS Whole-genome sequencing (WGS) was applied to 27 medulloblastoma (MB) PDX models and their tumors of origin using Amplicon Architect. ecDNA frequency in these models was also compared to that in the MB patient population. Optical genome mapping enabled accurate and reliable ecDNA sequence reconstructions. Multiome single-cell RNA and ATAC-sequencing of a PDX tumor enabled analysis of ecDNA conservation and intratumoral heterogeneity compared to similar data previously obtained from the primary tumor. RESULTS ecDNA is largely conserved in PDX models, emphasizing their relevance as faithful models of the primary tumors. MB PDX models exhibit significant higher ecDNA frequency (16 out of 27 tumors) as compared to their frequency in the overall patient population (~18%), suggesting ecDNA as a driver for successful establishment of MB PDX models. Single-cell analysis revealed that ecDNA is omnipresent in almost all PDX tumor cells, contrasting with only ~9% of tumor cells in the primary tumor. CONCLUSIONS ecDNA analysis in medulloblastoma primary tumors and in PDX models revealed that ecDNA is preserved in PDX models. These findings emphasize the relevance of PDX models in preclinical in vivo studies aimed at analyzing the role of ecDNA under therapeutic pressure and for analyzing clonal selection along with molecular evolution of ecDNA during the development of therapeutic resistance.