Figure S3 from Patient-Derived Xenograft Models Reveal Intratumor Heterogeneity and Temporal Stability in Neuroblastoma
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posted on 2023-03-31, 02:10 authored by Noémie Braekeveldt, Kristoffer von Stedingk, Susanne Fransson, Angela Martinez-Monleon, David Lindgren, Håkan Axelson, Fredrik Levander, Jakob Willforss, Karin Hansson, Ingrid Øra, Torbjörn Backman, Anna Börjesson, Siv Beckman, Javanshir Esfandyari, Ana P. Berbegall, Rosa Noguera, Jenny Karlsson, Jan Koster, Tommy Martinsson, David Gisselsson, Sven Påhlman, Daniel BexellSupplementary Figure S3. Related to Figure 5. Proteomic analysis of multiple samples derived from Patient #5.
Funding
Swedish Cancer Society
Swedish Childhood Cancer Foundation
Swedish Research Council
Mrs. Berta Kamprad Foundation
SSF
Strategic Cancer Research
Crafoord Foundation
Jeanssons Stiftelser
Mary Béves Stiftelse för Barncancerforskning
Ollie och Elof Ericssons stiftelser
Berth von Kantzows stiftelse
Royal Physiographic Society in Lund
Åke Wibergs stiftelse
Tegger Foundation
Gyllenstiernska Krapperupsstiftelsen
Skåne University Hospital
Scientific Foundation Spanish Association
ISCIII
History
ARTICLE 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 underexplored. 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. Cancer Res; 78(20); 5958–69. ©2018 AACR.Usage metrics
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