The overall goal of the Dynomics Project is to provide a molecular genomic 'fingerprint' ofthe genome and transcriptome of cancer cells at all stages of development that can serve as a platform for identify patterns or relationships between physical, morphological, and genomic parameters and correlate those properties with the stage or evolution of the disease in a patient. The samples that we will utilize will match those used in RP1 and RP2 such that the

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The genomic and transcriptomic data set to be generated across space in tumor tissue and in time from circulating tumor cells will provide a dynamic parameterization of two distinct forms of cancer, colon and lung. The integration of these data sets into a physical modeling framework will provide unique insights into the physical dynamics of cancer progression.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZCA1-SRLB-9 (O1))
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Scripps Research Institute
La Jolla
United States
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West, Jeffrey; Newton, Paul K (2017) Chemotherapeutic Dose Scheduling Based on Tumor Growth Rates Provides a Case for Low-Dose Metronomic High-Entropy Therapies. Cancer Res 77:6717-6728
Kuhn, P; Keating, S M; Baxter, G T et al. (2017) Lessons Learned: Transfer of the High-Definition Circulating Tumor Cell Assay Platform to Development as a Commercialized Clinical Assay Platform. Clin Pharmacol Ther 102:777-785
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