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Xenograft models for pediatric cancer therapies

The prognosis for childhood cancer has improved considerably over the past 50 years. This improvement is attributed to well-designed clinical trials which have incorporated chemotherapy, surgery, and radiation. With an increased understanding of cancer biology and genetics, we have entered an era of...

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Detalles Bibliográficos
Autores principales: McNerney, Kevin O, Teachey, David T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculty Opinions Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894265/
https://www.ncbi.nlm.nih.gov/pubmed/33659929
http://dx.doi.org/10.12703/r/10-11
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author McNerney, Kevin O
Teachey, David T
author_facet McNerney, Kevin O
Teachey, David T
author_sort McNerney, Kevin O
collection PubMed
description The prognosis for childhood cancer has improved considerably over the past 50 years. This improvement is attributed to well-designed clinical trials which have incorporated chemotherapy, surgery, and radiation. With an increased understanding of cancer biology and genetics, we have entered an era of precision medicine and immunotherapy that provides potential for improved cure rates. However, preclinical evaluation of these therapies is more nuanced, requiring more robust animal models. Evaluation of targeted treatments requires molecularly defined xenograft models that can capture the diversity within pediatric cancer. The development of novel immunotherapies ideally involves the use of animal models that can accurately recapitulate the human immune response. In this review, we provide an overview of xenograft models for childhood cancers, review successful examples of novel therapies translated from xenograft models to the clinic, and describe the modern tools of xenograft biobanks and humanized xenograft models for the study of immunotherapies.
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spelling pubmed-78942652021-03-02 Xenograft models for pediatric cancer therapies McNerney, Kevin O Teachey, David T Fac Rev Review Article The prognosis for childhood cancer has improved considerably over the past 50 years. This improvement is attributed to well-designed clinical trials which have incorporated chemotherapy, surgery, and radiation. With an increased understanding of cancer biology and genetics, we have entered an era of precision medicine and immunotherapy that provides potential for improved cure rates. However, preclinical evaluation of these therapies is more nuanced, requiring more robust animal models. Evaluation of targeted treatments requires molecularly defined xenograft models that can capture the diversity within pediatric cancer. The development of novel immunotherapies ideally involves the use of animal models that can accurately recapitulate the human immune response. In this review, we provide an overview of xenograft models for childhood cancers, review successful examples of novel therapies translated from xenograft models to the clinic, and describe the modern tools of xenograft biobanks and humanized xenograft models for the study of immunotherapies. Faculty Opinions Ltd 2021-02-02 /pmc/articles/PMC7894265/ /pubmed/33659929 http://dx.doi.org/10.12703/r/10-11 Text en Copyright: © 2021 Teachey DT et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
McNerney, Kevin O
Teachey, David T
Xenograft models for pediatric cancer therapies
title Xenograft models for pediatric cancer therapies
title_full Xenograft models for pediatric cancer therapies
title_fullStr Xenograft models for pediatric cancer therapies
title_full_unstemmed Xenograft models for pediatric cancer therapies
title_short Xenograft models for pediatric cancer therapies
title_sort xenograft models for pediatric cancer therapies
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894265/
https://www.ncbi.nlm.nih.gov/pubmed/33659929
http://dx.doi.org/10.12703/r/10-11
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