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Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models
Patient‐derived xenograft (PDX) models have become an important asset in translational cancer research. However, to provide a robust preclinical platform, PDXs need to accommodate the tumor heterogeneity that is observed in patients. Colorectal cancer (CRC) can be stratified into four consensus mole...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587871/ https://www.ncbi.nlm.nih.gov/pubmed/30151914 http://dx.doi.org/10.1002/ijc.31767 |
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author | Prasetyanti, Pramudita R. van Hooff, Sander R. van Herwaarden, Tessa de Vries, Nathalie Kalloe, Kieshen Rodermond, Hans van Leersum, Ronald de Jong, Joan H. Franitza, Marek Nürnberg, Peter Todaro, Matilde Stassi, Giorgio Medema, Jan Paul |
author_facet | Prasetyanti, Pramudita R. van Hooff, Sander R. van Herwaarden, Tessa de Vries, Nathalie Kalloe, Kieshen Rodermond, Hans van Leersum, Ronald de Jong, Joan H. Franitza, Marek Nürnberg, Peter Todaro, Matilde Stassi, Giorgio Medema, Jan Paul |
author_sort | Prasetyanti, Pramudita R. |
collection | PubMed |
description | Patient‐derived xenograft (PDX) models have become an important asset in translational cancer research. However, to provide a robust preclinical platform, PDXs need to accommodate the tumor heterogeneity that is observed in patients. Colorectal cancer (CRC) can be stratified into four consensus molecular subtypes (CMS) with distinct biological and clinical features. Surprisingly, using a set of CRC patients, we revealed the partial representation of tumor heterogeneity in PDX models. The epithelial subtypes, the largest subgroups of CRC subtype, were very ineffective in establishing PDXs, indicating the need for further optimization to develop an effective personalized therapeutic approach to CRC. Moreover, we showed that tumor cell proliferation was associated with successful PDX establishment and able to distinguish patient with poor clinical outcomes within CMS2 group. |
format | Online Article Text |
id | pubmed-6587871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65878712019-07-02 Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models Prasetyanti, Pramudita R. van Hooff, Sander R. van Herwaarden, Tessa de Vries, Nathalie Kalloe, Kieshen Rodermond, Hans van Leersum, Ronald de Jong, Joan H. Franitza, Marek Nürnberg, Peter Todaro, Matilde Stassi, Giorgio Medema, Jan Paul Int J Cancer Tumor Markers and Signatures Patient‐derived xenograft (PDX) models have become an important asset in translational cancer research. However, to provide a robust preclinical platform, PDXs need to accommodate the tumor heterogeneity that is observed in patients. Colorectal cancer (CRC) can be stratified into four consensus molecular subtypes (CMS) with distinct biological and clinical features. Surprisingly, using a set of CRC patients, we revealed the partial representation of tumor heterogeneity in PDX models. The epithelial subtypes, the largest subgroups of CRC subtype, were very ineffective in establishing PDXs, indicating the need for further optimization to develop an effective personalized therapeutic approach to CRC. Moreover, we showed that tumor cell proliferation was associated with successful PDX establishment and able to distinguish patient with poor clinical outcomes within CMS2 group. John Wiley & Sons, Inc. 2018-10-22 2019-01-15 /pmc/articles/PMC6587871/ /pubmed/30151914 http://dx.doi.org/10.1002/ijc.31767 Text en © 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Tumor Markers and Signatures Prasetyanti, Pramudita R. van Hooff, Sander R. van Herwaarden, Tessa de Vries, Nathalie Kalloe, Kieshen Rodermond, Hans van Leersum, Ronald de Jong, Joan H. Franitza, Marek Nürnberg, Peter Todaro, Matilde Stassi, Giorgio Medema, Jan Paul Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models |
title | Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models |
title_full | Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models |
title_fullStr | Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models |
title_full_unstemmed | Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models |
title_short | Capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (PDX) models |
title_sort | capturing colorectal cancer inter‐tumor heterogeneity in patient‐derived xenograft (pdx) models |
topic | Tumor Markers and Signatures |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587871/ https://www.ncbi.nlm.nih.gov/pubmed/30151914 http://dx.doi.org/10.1002/ijc.31767 |
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