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Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells
- Koga, Tomoyuki;
- Chaim, Isaac A;
- Benitez, Jorge A;
- Markmiller, Sebastian;
- Parisian, Alison D;
- Hevner, Robert F;
- Turner, Kristen M;
- Hessenauer, Florian M;
- D’Antonio, Matteo;
- Nguyen, Nam-phuong D;
- Saberi, Shahram;
- Ma, Jianhui;
- Miki, Shunichiro;
- Boyer, Antonia D;
- Ravits, John;
- Frazer, Kelly A;
- Bafna, Vineet;
- Chen, Clark C;
- Mischel, Paul S;
- Yeo, Gene W;
- Furnari, Frank B
- et al.
Published Web Location
https://doi.org/10.1038/s41467-020-14312-1Abstract
Many cellular models aimed at elucidating cancer biology do not recapitulate pathobiology including tumor heterogeneity, an inherent feature of cancer that underlies treatment resistance. Here we introduce a cancer modeling paradigm using genetically engineered human pluripotent stem cells (hiPSCs) that captures authentic cancer pathobiology. Orthotopic engraftment of the neural progenitor cells derived from hiPSCs that have been genome-edited to contain tumor-associated genetic driver mutations revealed by The Cancer Genome Atlas project for glioblastoma (GBM) results in formation of high-grade gliomas. Similar to patient-derived GBM, these models harbor inter-tumor heterogeneity resembling different GBM molecular subtypes, intra-tumor heterogeneity, and extrachromosomal DNA amplification. Re-engraftment of these primary tumor neurospheres generates secondary tumors with features characteristic of patient samples and present mutation-dependent patterns of tumor evolution. These cancer avatar models provide a platform for comprehensive longitudinal assessment of human tumor development as governed by molecular subtype mutations and lineage-restricted differentiation.
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