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Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells
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)...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987220/ https://www.ncbi.nlm.nih.gov/pubmed/31992716 http://dx.doi.org/10.1038/s41467-020-14312-1 |
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author | 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. |
author_facet | 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. |
author_sort | Koga, Tomoyuki |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6987220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69872202020-01-30 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. Nat Commun Article 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. Nature Publishing Group UK 2020-01-28 /pmc/articles/PMC6987220/ /pubmed/31992716 http://dx.doi.org/10.1038/s41467-020-14312-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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. Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells |
title | Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells |
title_full | Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells |
title_fullStr | Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells |
title_full_unstemmed | Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells |
title_short | Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells |
title_sort | longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987220/ https://www.ncbi.nlm.nih.gov/pubmed/31992716 http://dx.doi.org/10.1038/s41467-020-14312-1 |
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