Abstract

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

Public Health Relevance

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.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA143906-05
Application #
8568055
Study Section
Special Emphasis Panel (ZCA1-SRLB-9)
Project Start
Project End
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
5
Fiscal Year
2013
Total Cost
$102,443
Indirect Cost
$35,260

  Institution

Name
Scripps Research Institute
Department
Type
DUNS #
781613492
City
La Jolla
State
CA
Country
United States
Zip Code
92037

  Publications

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
Carlsson, Anders; Kuhn, Peter; Luttgen, Madelyn S et al. (2017) Paired High-Content Analysis of Prostate Cancer Cells in Bone Marrow and Blood Characterizes Increased Androgen Receptor Expression in Tumor Cell Clusters. Clin Cancer Res 23:1722-1732
West, Jeffrey; Hasnain, Zaki; Mason, Jeremy et al. (2016) The prisoner's dilemma as a cancer model. Converg Sci Phys Oncol 2:
West, Jeffrey; Hasnain, Zaki; Macklin, Paul et al. (2016) AN EVOLUTIONARY MODEL OF TUMOR CELL KINETICS AND THE EMERGENCE OF MOLECULAR HETEROGENEITY DRIVING GOMPERTZIAN GROWTH. SIAM Rev Soc Ind Appl Math 58:716-736
Mitrugno, Annachiara; Tormoen, Garth W; Kuhn, Peter et al. (2016) The prothrombotic activity of cancer cells in the circulation. Blood Rev 30:11-9
Baker-Groberg, Sandra M; Phillips, Kevin G; Healy, Laura D et al. (2015) Critical behavior of subcellular density organization during neutrophil activation and migration. Cell Mol Bioeng 8:543-552
Phillips, Kevin G; Lee, Angela M; Tormoen, Garth W et al. (2015) The thrombotic potential of circulating tumor microemboli: computational modeling of circulating tumor cell-induced coagulation. Am J Physiol Cell Physiol 308:C229-36
King, Michael R; Phillips, Kevin G; Mitrugno, Annachiara et al. (2015) A physical sciences network characterization of circulating tumor cell aggregate transport. Am J Physiol Cell Physiol 308:C792-802
Ruiz, Carmen; Li, Julia; Luttgen, Madelyn S et al. (2015) Limited genomic heterogeneity of circulating melanoma cells in advanced stage patients. Phys Biol 12:016008

Showing the most recent 10 out of 61 publications