DDDR-22. USE OF BIOPSY-DERIVED TUMOR ORGANOIDS FOR PERSONALIZED DRUG TESTING IN RECURRENT GLIOBLASTOMA

Abstract To date, there are no effective systemic treatment options for recurrent glioblastoma (GBM). Furthermore, often surgical resection is not possible and tumors have acquired an increased chemo- or radioresistance. Patient-derived tumor organoids (PDTOs) provide a new exciting tool to test individual treatment responses. Aim of this study was to assess the feasibility of a personalized PDTO-based drug testing even from rare material such as stereotactic biopsies. PDTOs were prepared based on single cell suspensions from tumor material obtained either from open GBM resections (reference data set, n = 37) or from stereotactic biopsies (n = 8). Drug response curves (6-9 doses) were performed for 9 drugs including commonly used drugs such as temozolomide, lomustine, etoposide and temsirolimus. Viability was measured using CellTiterGlo (Promega) to assess half-maximal inhibitory concentrations (IC50). Medical records were reviewed for survival and molecular information such as the MGMT methylation status. Drug testing on PDTOs from open resections allowed to adjust the test range for each drug. Additionally, a significant association between increased temozolomide sensitivity of PDTOs and both, MGMT methylation and increased survival was observed. However, in 59% of the cases, no sensitivity to any of the drugs was seen, and only 17% were highly sensitive to more than one drug. Subsequent drug testing on PDTOs from biopsies of recurrent GBM revealed sensitivity in 3/8 cases against one (n=2) or two (n=1) of the drugs. However, sensitivity against drugs varied substantially in a patient-individual manner. We successfully developed a workflow to test drug sensitivity on PDTO even from low starting material obtained from stereotactic biopsies. Association of clinical outcome and MGMT methylation with temozolomide sensitivity corroborated the strength of this approach. Furthermore, patient-individual treatment responses strongly suggest for a future personalized drug testing.