Patient-derived xenograft models: an emerging platform for translational cancer research. Review uri icon

Overview

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.

authors

  • Hidalgo Medina, Manuel
  • Amant, Frederic
  • Biankin, Andrew V
  • Budinská, Eva
  • Byrne, Annette T
  • Caldas, Carlos
  • Clarke, Robert B
  • de Jong, Steven
  • Jonkers, Jos
  • Mælandsmo, Gunhild Mari
  • Roman-Roman, Sergio
  • Seoane, Joan
  • Trusolino, Livio
  • Villanueva, Alberto

publication date

  • July 15, 2014

Research

keywords

  • Disease Models, Animal
  • Heterografts
  • Neoplasms
  • Translational Research, Biomedical

Identity

PubMed Central ID

  • PMC4167608

Scopus Document Identifier

  • 84906895091

Digital Object Identifier (DOI)

  • 10.1158/2159-8290.CD-14-0001

PubMed ID

  • 25185190

Additional Document Info

volume

  • 4

issue

  • 9