DIPG-27. MATCHED PRIMARY-RELAPSE PEDHGG PATIENT-DERIVED XENOGRAFT MODELS TO IDENTIFY THERAPY RESISTANCE PROFILES

Abstract

Abstract BACKGROUND We established patient-derived xenografts (PDXs) from matched primary-relapse pairs of pediatric high-grade gliomas (pedHGGs) in collaboration with the Swedish Childhood Tumor Biobank. Further, we used human iPSC derived cortical organoids to evaluate interactions between glial and tumor cells under treatment pressure potentially lost in xenograft models. Using this setup, we hope to follow tumor relapse evolution and to identify novel mechanisms behind treatment evasion and relapse formation. METHODS Tumoral singel cell suspensions from matched primary-relapse pairs are injected orthotopically in immunodeficient NOG mice. We establish in vitro 2D models in stem cell conditions from the first generation of animals transplanted. Lentivirus-based labelling with GFP/Luciferase was done on PDX-derived cell lines to allow cell tracking and to quantify efficacy of drug screening efforts. Co-culture of these cells with normal cells in 3D assembloids were performed using 150-250 days old cortical organoids. Single-cell RNA sequencing and bulk RNA sequencing (RNA-seq) on patient biopsies, their corresponding PDXs from first generation of mice, and PDX-derived cell lines, was performed to track potential changes in vivo and in vitro and to further validate primary-relapse specific evolution. RESULTS 2D and 3D cell cultures offered efficient labeling and we quantified differences in sensitivity to standard therapy between primary and relapse samples. PDX models and assembloids highlighted pedHGG growth patterns, modes of invasion and cell interactions, especially astrocyte-tumor cell interactions. These 3D models also allow for further validation of targeted drug testing based on multiomics data (WGS, methylation and RNA-seq) from the patient biopsies. CONCLUSION PedHGG primary-relapse in vitro 2D cell line/ in vivo 3D assembloid models together with PDXs is a robust approach to study different aspects of relapse-specific tumor biology. Our results offer insights aiding the development of novel therapeutics inhibiting relapse mechanisms already in the first line of treatment.