1. Patient-Derived Xenograft Models Reveal Intratumor Heterogeneity and Temporal Stability in Neuroblastoma
- Author
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Ingrid Øra, Ana P. Berbegall, David Gisselsson, Javanshir Esfandyari, Jenny Karlsson, Fredrik Levander, Anna Börjesson, Kristoffer von Stedingk, Rosa Noguera, Karin Hansson, Angela Martinez-Monleon, Torbjörn Backman, Siv Beckman, David Lindgren, Jan Koster, Daniel Bexell, Håkan Axelson, Jakob Willforss, Sven Påhlman, Noémie Braekeveldt, Susanne Fransson, Tommy Martinsson, Oncogenomics, and CCA - Cancer biology and immunology
- Subjects
0301 basic medicine ,Male ,Proteomics ,Cancer Research ,Genotype ,Biology ,Polymorphism, Single Nucleotide ,Transcriptome ,Translational Research, Biomedical ,03 medical and health sciences ,Mice ,Neuroblastoma ,0302 clinical medicine ,Intratumor heterogeneity ,medicine ,Biomarkers, Tumor ,Animals ,Humans ,In patient ,Tumor xenograft ,Neoplasm Staging ,Gene Expression Profiling ,Infant ,medicine.disease ,Phenotype ,Gene expression profiling ,Disease Models, Animal ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Cancer research ,Female ,Neoplasm Transplantation - Abstract
Patient-derived xenografts (PDX) and the Avatar, a single PDX mirroring an individual patient, are emerging tools in preclinical cancer research. However, the consequences of intratumor heterogeneity for PDX modeling of biomarkers, target identification, and treatment decisions remain under-explored. In this study, we undertook serial passaging and comprehensive molecular analysis of neuroblastoma orthotopic PDXs, which revealed strong intrinsic genetic, transcriptional, and phenotypic stability for more than 2 years. The PDXs showed preserved neuroblastoma-associated gene signatures that correlated with poor clinical outcome in a large cohort of patients with neuroblastoma. Furthermore, we captured spatial intratumor heterogeneity using ten PDXs from a single high-risk patient tumor. We observed diverse growth rates, transcriptional, proteomic, and phosphoproteomic profiles. PDX-derived transcriptional profiles were associated with diverse clinical characteristics in patients with high-risk neuroblastoma. These data suggest that high-risk neuroblastoma contains elements of both temporal stability and spatial intratumor heterogeneity, the latter of which complicates clinical translation of personalized PDX-Avatar studies into preclinical cancer research. Significance: These findings underpin the complexity of PDX modeling as a means to advance translational applications against neuroblastoma. (C) 2018 AACR.
- Published
- 2018