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Capturing heterogeneity in PDX models: representation matters

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  • Hari Shankar Sunil

    (UT Southwestern Medical Center)

  • Kathryn A. O’Donnell

    (UT Southwestern Medical Center
    UT Southwestern Medical Center
    UT Southwestern Medical Center)

Abstract

Patient derived tumor xenografts (PDXs) are important models for pre-clinical testing in cancer research and personalized medicine. PDXs often represent patient tumors with high similarity in terms of histology and driver mutations. However, certain limitations exist that warrant a detailed understanding of PDX heterogeneity and evolution. Hynds et al. demonstrate the relevance of primary tumor heterogeneity in PDX model establishment and explore multi-region sampling to determine the extent to which PDXs represent primary tumors.

Suggested Citation

  • Hari Shankar Sunil & Kathryn A. O’Donnell, 2024. "Capturing heterogeneity in PDX models: representation matters," Nature Communications, Nature, vol. 15(1), pages 1-3, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47607-8
    DOI: 10.1038/s41467-024-47607-8
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    References listed on IDEAS

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    1. Peter Eirew & Adi Steif & Jaswinder Khattra & Gavin Ha & Damian Yap & Hossein Farahani & Karen Gelmon & Stephen Chia & Colin Mar & Adrian Wan & Emma Laks & Justina Biele & Karey Shumansky & Jamie Rosn, 2015. "Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution," Nature, Nature, vol. 518(7539), pages 422-426, February.
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