The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Open accessAbstract
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. Cancer Discov; 4(9); 998–1013. ©2014 AACR.
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Metadata
- Authors
- Hidalgo, M., Amant, F., Biankin, A. V., Budinská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., Roman-Roman, S., Seoane, J., Trusolino, L., Villanueva, A., & for the EurOPDX Consortium
- Venue
- Cancer Discovery
- Published
- 2014-09-01
- Volume
- 4
- Issue
- 9
- Pages
- 998-1013
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2118952409
- Cited by
- 1,742
- References
- 19
- FWCI
- 46.96
- Type
- journal article
- Language
- en
- Open access
- green
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- Hidalgo, M., Amant, F., Biankin, A. V., Budinská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., Roman-Roman, S., Seoane, J., Trusolino, L., Villanueva, A., & for the EurOPDX Consortium. (2014). Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-14-0001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
