Abstract

Simple SummaryDespite the major progress of precision and personalized oncology, a significant therapeutic benefit is only achieved in cases with directly druggable genetic alterations. This highlights the need for additional methods that reliably predict each individual patient’s response in a clinically meaningful time, e.g., through ex vivo functional drug screen profiling. Moreover, patient-derived xenograft (PDX) models are more predictive than cell culture studies, as they reconstruct cell–cell and cell–extracellular matrix (ECM) interactions and consider the tumor microenvironment, drug metabolism and toxicities. Zebrafish PDXs (zPDX) are nowadays emerging as a fast model allowing for multiple drugs to be tested at the same time in a clinically relevant time window. Here, we show that functional drug response profiling of zPDX from primary material obtained through the INdividualized Therapy FOr Relapsed Malignancies in Childhood (INFORM) pediatric precision oncology pipeline provides additional key information for personalized precision oncology.The survival rate among children with relapsed tumors remains poor, due to tumor heterogeneity, lack of directly actionable tumor drivers and multidrug resistance. Novel personalized medicine approaches tailored to each tumor are urgently needed to improve cancer treatment. Current pediatric precision oncology platforms, such as the INFORM (INdividualized Therapy FOr Relapsed Malignancies in Childhood) study, reveal that molecular profiling of tumor tissue identifies targets associated with clinical benefit in a subgroup of patients only and should be complemented with functional drug testing. In such an approach, patient-derived tumor cells are exposed to a library of approved oncological drugs in a physiological setting, e.g., in the form of animal avatars injected with patient tumor cells. We used molecularly fully characterized tumor samples from the INFORM study to compare drug screen results of individual patient-derived cell models in functional assays: (i) patient-derived spheroid cultures within a few days after tumor dissociation; (ii) tumor cells reisolated from the corresponding mouse PDX; (iii) corresponding long-term organoid-like cultures and (iv) drug evaluation with the corresponding zebrafish PDX (zPDX) model. Each model had its advantage and complemented the others for drug hit and drug combination selection. Our results provide evidence that in vivo zPDX drug screening is a promising add-on to current functional drug screening in precision medicine platforms.

Highlights

  • The prognosis of children with high-risk and relapsed tumors remains poor with an overall survival rate of less than 20% after two years, despite multi-modal treatment regimens [1,2]

  • The combination of ceritinib with alpelisib (PI3Ki) did not further increase this effect (Figure S5). These results show that the zebrafish PDX (zPDX)-model generated with the patientderived long-term cell cultures (LTC) is suitable to narrow down the hit list and to test drug combinations

  • Personalized medicine in childhood cancer aims for the identification of actionable alterations and some promising molecular drug targets are already being translated into clinical applications (e.g., ALK, NTRK, MET, BRAF) [4]

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Summary

Introduction

The prognosis of children with high-risk and relapsed tumors remains poor with an overall survival rate of less than 20% after two years, despite multi-modal treatment regimens [1,2]. Results from this study demonstrated that progression-free survival could be doubled in a subgroup of patients with very high evidence targets receiving a molecularly matched targeted treatment [4]. As patients with low evidence molecular targets failed to benefit from the molecularly matched targeted treatment approach alone, the INFORM study was amended with drug sensitivity profiling and the establishment of three-dimensional cultures from viable tumor samples. Functional precision oncology aims at meeting the patient’s needs by identifying promising treatment options for every cancer and patient individually with ex vivo functional assays. As an add-on to genomic data, functional studies such as ex vivo 3D cell cultures aim to further improve and tailor drug treatment for each individual patient [5]

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