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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2017
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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. |
format | Online Article Text |
id | pubmed-5481868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Future Science Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT meijertitiag exvivotumorculturesystemsforfunctionaldrugtestingandtherapyresponseprediction AT naipalkishanat exvivotumorculturesystemsforfunctionaldrugtestingandtherapyresponseprediction AT jageragnes exvivotumorculturesystemsforfunctionaldrugtestingandtherapyresponseprediction AT vangentdikc exvivotumorculturesystemsforfunctionaldrugtestingandtherapyresponseprediction |