Center for Systems Biology in Cancer/Physical Sciences-Oncology Network


Image Credit: Jill Gallaher

CSBC/PS-ON Handbook of Mathematical Oncology - Alexander R. A. Anderson, Jennifer Couch, Dan Gallahan, Nicole Moore, Kristin R. Swanson & Claire Tomlin

CSBC/PS-ON Publications:

12540881; 17629503; 18273038; 20179714; 23565501; 24511383; 24607841; 26597528


Moffitt PSOC

Shah S, Brock EJ, Ji K, Mattingly RR. Ras and Rap1: A tale of two GTPases.
Semin Cancer Biol. 2018 Apr 3. pii: S1044-579X(18)30003-8. doi:
10.1016/j.semcancer.2018.03.005. [Epub ahead of print] Review

Subramanian H, Gatenby RA. Evolutionary advantage of directional symmetry
breaking in self-replicating polymers. J Theor Biol. 2018 Jun 7;446:128-136. doi:
10.1016/j.jtbi.2018.03.012. Epub 2018 Mar 12. PubMed PMID: 29544886

Karolak A, Rejniak KA. Micropharmacology: An In Silico Approach for Assessing
Drug Efficacy Within a Tumor Tissue. Bull Math Biol. 2018 Feb 8. doi:
10.1007/s11538-018-0402-x. [Epub ahead of print] PubMed PMID: 29423880

Gallaher JA, Enriquez-Navas PM, Luddy KA, Gatenby RA, Anderson ARA. Spatial
Heterogeneity and Evolutionary Dynamics Modulate Time to Recurrence in Continuous
and Adaptive Cancer Therapies. Cancer Res. 2018 Apr 15;78(8):2127-2139. doi:
10.1158/0008-5472.CAN-17-2649. Epub 2018 Jan 30. PubMed PMID: 29382708

Yagawa Y, Robertson-Tessi M, Zhou SL, Anderson ARA, Mulé JJ, Mailloux AW. Systematic Screening of Chemokines to Identify Candidates to Model and Create Ectopic Lymph Node Structures for Cancer Immunotherapy. Scientific Reports. 2017;7:15996. doi:10.1038/s41598-017-15924-2.

Emmons, M. F., et al. (2017). MTI-101 treatment inducing activation of Stim1 and TRPC1 expression is a determinant of response in multiple myeloma. Sci Rep 7(1): 2685.

Zhao, X., et al. (2017). Unification of de novo and acquired ibrutinib resistance in mantle cell lymphoma. Nat Commun 8: 14920.

Gatenby RA, Brown J. (2017). Mutations, evolution and the central role of a self-defined fitness function in the initiation and progression of cancer. Biochim Biophys Acta. 2017 Apr. doi: 10.1016/j.bbcan.2017.03.005

Ibrahim-Hashim A, Robertson-Tessi M, Enriquez-Navas PM, Damaghi M, Balagurunathan Y, Wojtkowiak JW, Russell S, Yoonseok K, Lloyd MC, Bui MM, Brown JS, Anderson ARA, Gillies RJ, Gatenby RA. (2017) Defining Cancer Subpopulations by Adaptive Strategies Rather Than Molecular Properties Provides Novel Insights into Intratumoral Evolution. Cancer Res. 2017 May 1. doi: 10.1158/0008-5472.CAN-16-2844

Brown J, Cunningham JJ, Gatenby RA. (2016). Aggregation Effects and Population-based dynamics as a source of therapy resistance in cancer. IEEE Trans Biomed Eng. 2016 Nov 1. doi:10.1109/TBME.2016.2623564

Nichol D, Robertson-Tessi M, Jeavons P, Anderson AR. (2016) Stochasticity in the Genotype-Phenotype Map: Implications for the Robustness and Persistence of Bet-Hedging. Genetics 2016 Dec.

Damaghi M, Gillies RJ. (2016) Lysosomal protein relocation as an adaptation mechanismto extracellular acidosis. Cell Cycle2016 Jul 2. doi: 10.1080/15384101.2016.1176394.

Lloyd MC, Cunningham JJ, Bui MM, Gillies RJ, Brown JS, Gatenby RA. (2016) Darwinian Dynamics of Intratumoral Heterogeneity: Not Solely Random Mutations but Also Variable Environmental Selection Forces. Cancer Res. 2016 Jun 1. doi: 10.1158/0008-5472.CAN-15-2962

Enriquez-Navas PM, Kam Y, Das T, Hassan S, Silva A, Foroutan P, Ruiz E, Martinez G, Minton S, Gillies RJ, Gatenby RA. (2016) Exploiting evolutionary principles to prolong tumor control in preclinical models of breast cancer. Sci Transl Med. 2016 Feb 24. doi:10.1126/scitranslmed.aad7842.

Pilon-Thomas, S., Kodumedi KN, El-Kenawi AE, Russell S, Weber AM, Luddy K, Damaghi M, Wojtkowiak JW, Mule JJ, Ibrahim-Hashim A, Gillies RJ. (2016) Neutralization of Tumor Acidity Improves Antitumor Responses to Immunotherapy. Cancer Res. Mar 15 2016. doi: 10.1158/0008-5472.CAN-15-1743

Hawkins, S., Wang, H., Liu, Y., Garcia, A., Stringfield, O., Krewer, H., . . . Gillies, R. J. (2016). Predicting Malignant Nodules from Screening CT Scans. J Thorac Oncol, 11(12), 2120-2128. doi: 10.1016/j.jtho.2016.07.002

Rahme, R. J., Aoun, R. J., Pines, A. R., Swanson, K. R., & Bendok, B. R. (2016). Defining the Immune Phenotype for Glioblastoma Multiforme: One Step Closer to Understanding Our Enemy. World Neurosurg, 95, 576-577. doi: 10.1016/j.wneu.2016.08.063

Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016). Radiomics: Images Are More than Pictures, They Are Data. Radiology, 278(2), 563-577. doi: 10.1148/radiol.2015151169

Enriquez-Navas, P. M., Kam, Y., Das, T., Hassan, S., Silva, A., Foroutan, P., . . . Gatenby, R. A. (2016). Exploiting evolutionary principles to prolong tumor control in preclinical models of breast cancer. Sci Transl Med, 8(327), 327ra324. doi: 10.1126/scitranslmed.aad7842

Enriquez-Navas, P. M., Wojtkowiak, J. W., & Gatenby, R. A. (2015). Application of Evolutionary Principles to Cancer Therapy. Cancer Res, 75(22), 4675-4680. doi: 10.1158/0008-5472.CAN-15-1337

Hawkins-Daarud, A., Rockne, R., Corwin, D., Anderson, A. R., Kinahan, P., & Swanson, K. R. (2015). In silico analysis suggests differential response to bevacizumab and radiation combination therapy in newly diagnosed glioblastoma. J R Soc Interface, 12(109), 20150388. doi: 10.1098/rsif.2015.0388

Silva, A., Jacobson, T., Meads, M., Distler, A., & Shain, K. (2015). An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells. J Vis Exp(101), e53070. doi: 10.3791/53070

Jackson, P. R., Juliano, J., Hawkins-Daarud, A., Rockne, R. C., & Swanson, K. R. (2015). Patient-specific mathematical neuro-oncology: using a simple proliferation and invasion tumor model to inform clinical practice. Bull Math Biol, 77(5), 846-856. doi: 10.1007/s11538-015-0067-7

Khin, Z. P., Ribeiro, M. L., Jacobson, T., Hazlehurst, L., Perez, L., Baz, R., . . . Silva, A. S. (2014). A preclinical assay for chemosensitivity in multiple myeloma. Cancer Res, 74(1), 56-67. doi: 10.1158/0008-5472.CAN-13-2397

McGuire, M. F., Enderling, H., Wallace, D. I., Batra, J., Jordan, M., Kumar, S., . . . Pasquier, E. (2013). Formalizing an integrative, multidisciplinary cancer therapy discovery workflow. Cancer Res, 73(20), 6111-6117. doi: 10.1158/0008-5472.CAN-13-0310

Orlando, P. A., Gatenby, R. A., & Brown, J. S. (2012). Cancer treatment as a game: integrating evolutionary game theory into the optimal control of chemotherapy. Phys Biol, 9(6), 065007. doi: 10.1088/1478-3975/9/6/065007

Kam, Y., Rejniak, K. A., & Anderson, A. R. (2012). Cellular modeling of cancer invasion: integration of in silico and in vitro approaches. J Cell Physiol, 227(2), 431-438. doi: 10.1002/jcp.22766

Meads, M. B., Gatenby, R. A., & Dalton, W. S. (2009). Environment-mediated drug resistance: a major contributor to minimal residual disease. Nat Rev Cancer, 9(9), 665-674. doi: 10.1038/nrc2714

Gatenby, R. A., Silva, A. S., Gillies, R. J., & Frieden, B. R. (2009). Adaptive therapy. Cancer Res, 69(11), 4894-4903. doi: 10.1158/0008-5472.CAN-08-3658

Anderson, A. R., & Quaranta, V. (2008). Integrative mathematical oncology. Nat Rev Cancer, 8(3), 227-234. doi: 10.1038/nrc2329

Gatenby, R. A., & Gillies, R. J. (2007). Glycolysis in cancer: a potential target for therapy. Int J Biochem Cell Biol, 39(7-8), 1358-1366. doi: 10.1016/j.biocel.2007.03.021