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Ex vivo tumor culture systems for functional drug testing and therapy response prediction

Optimal patient stratification is of utmost importance in the era of personalized medicine. Prediction of individual treatment responses by functional ex vivo assays requires model systems derived from viable tumor samples, which should closely resemble in vivo tumor characteristics and microenviron...

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Autores principales: Meijer, Titia G, Naipal, Kishan AT, Jager, Agnes, van Gent, Dik C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481868/
https://www.ncbi.nlm.nih.gov/pubmed/28670477
http://dx.doi.org/10.4155/fsoa-2017-0003
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author Meijer, Titia G
Naipal, Kishan AT
Jager, Agnes
van Gent, Dik C
author_facet Meijer, Titia G
Naipal, Kishan AT
Jager, Agnes
van Gent, Dik C
author_sort Meijer, Titia G
collection PubMed
description Optimal patient stratification is of utmost importance in the era of personalized medicine. Prediction of individual treatment responses by functional ex vivo assays requires model systems derived from viable tumor samples, which should closely resemble in vivo tumor characteristics and microenvironment. This review discusses a broad spectrum of model systems, ranging from classic 2D monolayer culture techniques to more experimental ‘cancer-on-chip’ procedures. We mainly focus on organotypic tumor slices that take tumor heterogeneity and tumor–stromal interactions into account. These 3D model systems can be exploited for patient selection as well as for fundamental research. Selection of the right model system for each specific research endeavor is crucial and requires careful balancing of the pros and cons of each technology.
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spelling pubmed-54818682017-06-30 Ex vivo tumor culture systems for functional drug testing and therapy response prediction Meijer, Titia G Naipal, Kishan AT Jager, Agnes van Gent, Dik C Future Sci OA Review Optimal patient stratification is of utmost importance in the era of personalized medicine. Prediction of individual treatment responses by functional ex vivo assays requires model systems derived from viable tumor samples, which should closely resemble in vivo tumor characteristics and microenvironment. This review discusses a broad spectrum of model systems, ranging from classic 2D monolayer culture techniques to more experimental ‘cancer-on-chip’ procedures. We mainly focus on organotypic tumor slices that take tumor heterogeneity and tumor–stromal interactions into account. These 3D model systems can be exploited for patient selection as well as for fundamental research. Selection of the right model system for each specific research endeavor is crucial and requires careful balancing of the pros and cons of each technology. Future Science Ltd 2017-03-27 /pmc/articles/PMC5481868/ /pubmed/28670477 http://dx.doi.org/10.4155/fsoa-2017-0003 Text en © DC van Gent This work is licensed under a Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Review
Meijer, Titia G
Naipal, Kishan AT
Jager, Agnes
van Gent, Dik C
Ex vivo tumor culture systems for functional drug testing and therapy response prediction
title Ex vivo tumor culture systems for functional drug testing and therapy response prediction
title_full Ex vivo tumor culture systems for functional drug testing and therapy response prediction
title_fullStr Ex vivo tumor culture systems for functional drug testing and therapy response prediction
title_full_unstemmed Ex vivo tumor culture systems for functional drug testing and therapy response prediction
title_short Ex vivo tumor culture systems for functional drug testing and therapy response prediction
title_sort ex vivo tumor culture systems for functional drug testing and therapy response prediction
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481868/
https://www.ncbi.nlm.nih.gov/pubmed/28670477
http://dx.doi.org/10.4155/fsoa-2017-0003
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