Abstract

The overarching theme of this proposal is """"""""Impact of Tumor Heterogeneity on Cancer Progression"""""""". The Theoretical Component has developed, over the years, a suite of mathematical and computational models based on state-of-the-art techniques, with the goal of spanning a range of temporal and spatial resolution at the cellular scale. Our modelers and experimentalists are in continuous contact to facilitate data incorporation into models. Some theoretical scientists are specifically dedicated to data analysis prior to model integration. Special additions to this Component are the Altschuler/Wu group, leaders in experimental/theoretical approaches to trait heterogeneity, and evolution scientists.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA113007-07
Application #
8300004
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2011-03-01
Budget End
2012-02-29
Support Year
7
Fiscal Year
2011
Total Cost
$93,364
Indirect Cost

  Institution

Name
Vanderbilt University Medical Center
Department
Type
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212

  Publications

Hardeman, Keisha N; Peng, Chengwei; Paudel, Bishal B et al. (2017) Dependence On Glycolysis Sensitizes BRAF-mutated Melanomas For Increased Response To Targeted BRAF Inhibition. Sci Rep 7:42604
Udyavar, Akshata R; Wooten, David J; Hoeksema, Megan et al. (2017) Novel Hybrid Phenotype Revealed in Small Cell Lung Cancer by a Transcription Factor Network Model That Can Explain Tumor Heterogeneity. Cancer Res 77:1063-1074
Harris, Leonard A; Frick, Peter L; Garbett, Shawn P et al. (2016) An unbiased metric of antiproliferative drug effect in vitro. Nat Methods 13:497-500
Franco, Omar E; Tyson, Darren R; Konvinse, Katherine C et al. (2016) Altered TGF-?/? signaling drives cooperation between breast cancer cell populations. FASEB J 30:3441-3452
Werner, Benjamin; Scott, Jacob G; Sottoriva, Andrea et al. (2016) The Cancer Stem Cell Fraction in Hierarchically Organized Tumors Can Be Estimated Using Mathematical Modeling and Patient-Specific Treatment Trajectories. Cancer Res 76:1705-13
Gerlee, Philip; Kim, Eunjung; Anderson, Alexander R A (2015) Bridging scales in cancer progression: mapping genotype to phenotype using neural networks. Semin Cancer Biol 30:30-41
Frick, Peter L; Paudel, Bishal B; Tyson, Darren R et al. (2015) Quantifying heterogeneity and dynamics of clonal fitness in response to perturbation. J Cell Physiol 230:1403-12
Nichol, Daniel; Jeavons, Peter; Fletcher, Alexander G et al. (2015) Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance. PLoS Comput Biol 11:e1004493
Broussard, Joshua A; Diggins, Nicole L; Hummel, Stephen et al. (2015) Automated analysis of cell-matrix adhesions in 2D and 3D environments. Sci Rep 5:8124
Enderling, Heiko (2015) Cancer stem cells: small subpopulation or evolving fraction? Integr Biol (Camb) 7:14-23

Showing the most recent 10 out of 88 publications