Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2018
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
_version_ 1783429159016464384
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
work_keys_str_mv AT prasetyantipramuditar capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT vanhooffsanderr capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT vanherwaardentessa capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT devriesnathalie capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT kalloekieshen capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT rodermondhans capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT vanleersumronald capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT dejongjoanh capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT franitzamarek capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT nurnbergpeter capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT todaromatilde capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT stassigiorgio capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels
AT medemajanpaul capturingcolorectalcancerintertumorheterogeneityinpatientderivedxenograftpdxmodels