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Updated: Jun 11, 2025

Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies
Published on: September 30, 2016
Precision preclinical modeling to advance cancer treatment
David H Gutmann1, Jesse S Boehm2,3, Elinor K Karlsson2,4
1Department of Neurology, Washington University, St Louis, MO 63110, United States.
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A new era of cancer management is underway in which treatments are being developed for the entire continuum of the disease process. The availability of genetically engineered and naturally occurring preclinical models serves as instructive platforms for evaluating therapeutic mechanisms. However, a major clinical challenge is that the entire malignancy process occurs across multiple scales including genetic mutations, malignant changes in cell behavior, dysregulated tumor microenvironments, and systemic adaptations in the host. A multidisciplinary group of investigators coalesced at the National Cancer Institute Oncology Models Forum with the overall goal to provide updates on the use of precision preclinical models of cancer. The benefits and limitations of preclinical models were discussed to identify strategies for maximizing opportunities in modeling that could inform future cancer prevention and treatment approaches. Our shared perspective is that the continuum of single cell, multicell, organoid, and in situ models are remarkable resources for the clinical challenges ahead. We provide a roadmap for parsing already available models and include preliminary recommendations for the application of next-generation preclinical modeling in cancer intervention.

