Related Experiment Video
Updated: Feb 21, 2026

10:27
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
8.0K
Patient-derived xenografts undergo mouse-specific tumor evolution
Uri Ben-David1, Gavin Ha1,2, Yuen-Yi Tseng1
1Cancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Nature Genetics
|October 10, 2017
Summary
Patient-derived xenografts (PDXs) rapidly accumulate copy number alterations (CNAs) during passaging, differing from human tumor evolution. PDX genomic stability impacts drug response, crucial for cancer modeling.
Area of Science:
- Oncology
- Genomics
- Cancer Research
Background:
- Patient-derived xenografts (PDXs) are widely used cancer models, assumed to mirror primary tumor genomics.
- Understanding genomic alterations in PDXs is vital for their reliable application in research.
Purpose of the Study:
- To investigate the dynamics of copy number alterations (CNAs) in a large cohort of patient-derived xenografts (PDXs).
- To compare CNA acquisition in PDXs with genomic evolution in human tumors.
- To assess the relationship between PDX genomic stability and drug response.
Main Methods:
- Analysis of copy number alterations (CNAs) across 1,110 PDX samples from 24 cancer types.
- Monitoring CNA dynamics during serial PDX passaging.
- Correlation analysis between PDX CNAs, primary tumor characteristics, and drug response data.
Main Results:
- Rapid accumulation of CNAs was observed during PDX passaging, often driven by selection of minor clones.
- CNA acquisition in PDXs correlated with primary tumor aneuploidy and heterogeneity but differed in specific events.
- Several common human tumor CNAs were lost during PDX propagation.
- PDX genomic stability was linked to chemotherapy and targeted drug response.
Conclusions:
- PDX models undergo significant genomic changes, particularly in CNAs, that diverge from human tumor evolution.
- These genomic shifts in PDXs can influence their response to cancer therapies.
- Careful consideration of PDX genomic dynamics is essential for accurate preclinical cancer modeling.

