Peer Reviewed

1

Document Type

Article

Publication Date

2014

Keywords

Animals, Disease Models, Animal, Drug Discovery, Drug Evaluation, Preclinical, Heterografts, Humans, Neoplasms, Precision Medicine, Translational Medical Research, Xenograft Model Antitumor Assays

Comments

This article is also available at http://cancerdiscovery.aacrjournals.org/content/4/9/998.long

Abstract

UNLABELLED: Recently, there has been an increasing interest in the development and characterization of patient-derived tumor xenograft (PDX) models for cancer research. PDX models mostly retain the principal histologic and genetic characteristics of their donor tumor and remain stable across passages. These models have been shown to be predictive of clinical outcomes and are being used for preclinical drug evaluation, biomarker identification, biologic studies, and personalized medicine strategies. This article summarizes the current state of the art in this field, including methodologic issues, available collections, practical applications, challenges and shortcomings, and future directions, and introduces a European consortium of PDX models.

SIGNIFICANCE: PDX models are increasingly used in translational cancer research. These models are useful for drug screening, biomarker development, and the preclinical evaluation of personalized medicine strategies. This review provides a timely overview of the key characteristics of PDX models and a detailed discussion of future directions in the field.

Disciplines

Physics | Physiology

Citation

Hidalgo M, Amant F, Biankin AV, Budinská E, Byrne AT, Caldas C, Clarke RB, de Jong S, Jonkers J, Mælandsmo GM, Roman-Roman S, Seoane J, Trusolino L, Villanueva A. Patient-derived xenograft models: an emerging platform for translational cancer research. Cancer Discovery. 2014(9):998-1013.

PubMed ID

25185190

DOI Link

10.1158/2159-8290.CD-14-0001

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

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