This project will support a mulfidisciplinary team that combines mathematical modeling and in-vivo experiments with the following goals to: (1) investigate the interactions between tumor vascularity, blood flow, metabolic phenotype that govern physical parameters in the microenvironment, and (2) gain understanding on the role of physical parameters (particulariy the p02 and extracellular pH) in tumor growth and metastases. Experimental work will be performed in the PIs laboratory as well as the Small Animal Imaging Laboratory, SAIL, as part of Core A (Imaging). The modeling work will be performed within the Integrative Mathematical Oncology (IMO) program as well as within Core B (Math). In previous work, mathemafical models of the interactions of the tumor microenvironment and cellular phenotype and behavior have been built upon and integrated with in-vitro and in-vivo experiments. However, the current models are limited by the absence of tumor vascular dynamics that incorporate angiogenesis, vessel maturation and decay, and chaofic blood flow. To achieve this, our experimental approach will be guided by biologically realistic mathemafical models. Consistent with this research strategy, all of the mathematical models will be parameterized with experimentally determined values, and model predictions will be tested in-vivo using MRI ora dorsal skin-fold chamber. The accuracy and limitations of signal extraction from images and their relationship to the mathematical models will also be examined in collaboration with Drs. Barrett and Kupinski at the Centerfor Gamma Ray Imaging (CGRI). Some of these experiments will employ a new imaging technology that combines fluorescent microscopy with high (40 micron) resolution imaging through a novel /S*'

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA143970-04
Application #
8555188
Study Section
Special Emphasis Panel (ZCA1-SRLB-9 (O1))
Project Start
2009-09-30
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
4
Fiscal Year
2012
Total Cost
$601,192
Indirect Cost
$214,392
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Gatenby, Robert; Brown, Joel (2018) The Evolution and Ecology of Resistance in Cancer Therapy. Cold Spring Harb Perspect Med 8:
Gravenmier, Curtis A; Siddique, Miriam; Gatenby, Robert A (2018) Adaptation to Stochastic Temporal Variations in Intratumoral Blood Flow: The Warburg Effect as a Bet Hedging Strategy. Bull Math Biol 80:954-970
Ibrahim-Hashim, Arig; Robertson-Tessi, Mark; Enriquez-Navas, Pedro M et al. (2017) Defining Cancer Subpopulations by Adaptive Strategies Rather Than Molecular Properties Provides Novel Insights into Intratumoral Evolution. Cancer Res 77:2242-2254
Brown, Joel S; Cunningham, Jessica J; Gatenby, Robert A (2017) Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer. IEEE Trans Biomed Eng 64:512-518
Perfahl, Holger; Hughes, Barry D; Alarcón, Tomás et al. (2017) 3D hybrid modelling of vascular network formation. J Theor Biol 414:254-268
de Groot, Amber E; Roy, Sounak; Brown, Joel S et al. (2017) Revisiting Seed and Soil: Examining the Primary Tumor and Cancer Cell Foraging in Metastasis. Mol Cancer Res 15:361-370
Gatenby, Robert A; Frieden, B Roy (2017) Cellular information dynamics through transmembrane flow of ions. Sci Rep 7:15075
McFarland, Christopher D; Yaglom, Julia A; Wojtkowiak, Jonathan W et al. (2017) The Damaging Effect of Passenger Mutations on Cancer Progression. Cancer Res 77:4763-4772
Zhang, Jingsong; Cunningham, Jessica J; Brown, Joel S et al. (2017) Integrating evolutionary dynamics into treatment of metastatic castrate-resistant prostate cancer. Nat Commun 8:1816
Zhang, Xiaomeng; Wojtkowiak, Jonathan W; Martinez, Gary V et al. (2016) MR Imaging Biomarkers to Monitor Early Response to Hypoxia-Activated Prodrug TH-302 in Pancreatic Cancer Xenografts. PLoS One 11:e0155289

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