Capturing Colorectal Cancer Inter-Tumor Heterogeneity in Patient-Derived Xenograft (PDX) Models

Matilde Todaro, Giorgio Stassi, Marek Franitza, Pramudita R. Prasetyanti, Sander R. Van Hooff, Ronald Van Leersum, Tessa Van Herwaarden, Peter Nürnberg, Nathalie De Vries, Kieshen Kalloe, Hans Rodermond, Jan Paul Medema, Joan H. De Jong

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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. This article is protected by copyright. All rights reserved.
Lingua originaleEnglish
pagine (da-a)366-371
Numero di pagine6
RivistaInternational Journal of Cancer
Stato di pubblicazionePublished - 2018


All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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Todaro, M., Stassi, G., Franitza, M., Prasetyanti, P. R., Van Hooff, S. R., Van Leersum, R., Van Herwaarden, T., Nürnberg, P., De Vries, N., Kalloe, K., Rodermond, H., Medema, J. P., & De Jong, J. H. (2018). Capturing Colorectal Cancer Inter-Tumor Heterogeneity in Patient-Derived Xenograft (PDX) Models. International Journal of Cancer, 366-371.