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




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