Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research

20141,731 citationsReviewbronze Open Access

Authors

Manuel Hidalgo · Spanish National Cancer Research Centre

Frédéric Amant · KU Leuven

Andrew V. Biankin · University of Glasgow

Eva Budínská · Masaryk University

Annette T. Byrne · Royal College of Surgeons in Ireland

Carlos Caldas · Cancer Research UK Cambridge Center

Robert B. Clarke

Abstract

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.

Topics & Keywords

Cancer Cells and Metastasis Cancer Genomics and Diagnostics Mathematical Biology Tumor Growth

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Cancer Discovery

Volume 4, Issue 9, pp. 998-1013

DOI: 10.1158/2159-8290.cd-14-0001

Field-Weighted Citation Impact: 49.07