For an updated list of publications, please visit Google Scholar
Woodall, R. T., Esparza, C. C., Gutova, M., Wang, M., Cunningham, J., Brummer, A. B., Stine, C. A., Brown, C. C., Munson, J. M., & Rockne, R. C. (2023). Model discovery approach enables non-invasive measurement of intra-tumoral fluid transport in dynamic MRI. APL Bioengineering, 8(2), 026106. https://doi.org/10.1063/5.0190561
Kremer, S., John, R., Jin, P., Michelhaugh, S., Cunningham, J., Howerton, S., Eze, A., Nazarian, J., & Munson, J. (2023). Tmic-64. Characterization of the tumor microenvironment in diffuse midline gliomas (DMG) for 3D in vitro model building. Neuro-Oncology, 25(Supplement 5), v292–v293. https://doi.org/10.1093/neuonc/noad179.1130
Mohammed, A., Polys, N., Cunningham, J., Munson, J., Chutkowski, J., Liang, H., Park, D., Rockne, R., Woodall, R., & Esparza, C. (2023). Enhancing brain flow visualization with automated 3D data processing: A study on DCE-MRI data from mice with tumors. Proceedings of the 28th International ACM Conference on 3D Web Technology, 1–5. https://doi.org/10.1145/3611314.3625831
Freischel, A. R., Teer, J. K., Luddy, K., Cunningham, J., Artzy-Randrup, Y., Epstein, T., Tsai, K. Y., Berglund, A., Cleveland, J. L., Gillies, R. J., et al. (2022). Evolutionary analysis of TCGA data using over- and under-mutated genes identify key molecular pathways and cellular functions in lung cancer subtypes. Cancers, 15(1), 18. https://doi.org/10.3390/cancers15010018
Zhang, J., Brown, J. S., Cunningham, J., Adler, E., & Gatenby, R. (2022). Abstract CT159: A phase 2a evolutionarily informed, mathematically guided adaptive abiraterone trial in metastatic castrate resistant prostate cancer. Cancer Research, 82(12 Supplement), CT159–CT159. https://doi.org/10.1158/1538-7445.AM2022-CT159
Zhang, J., Cunningham, J., Brown, J., & Gatenby, R. (2022). Evolution-based mathematical models significantly prolong response to abiraterone in metastatic castrate-resistant prostate cancer and identify strategies to further improve outcomes. eLife, 11, e76284. https://doi.org/10.7554/eLife.76284
Zhang, J., Gallaher, J., Cunningham, J., Choi, J. W., Ionescu, F., Chatwal, M. S., Jain, R., Kim, Y., Wang, L., Brown, J. S., et al. (2022). A phase 1b adaptive androgen deprivation therapy trial in metastatic castration sensitive prostate cancer. Cancers, 14(21), 5225. https://doi.org/10.3390/cancers14215225
Burmeister, A. R., Hansen, E., Cunningham, J., Rego, E. H., Turner, P. E., Weitz, J. S., & Hochberg, M. E. (2021). Fighting microbial pathogens by integrating host ecosystem interactions and evolution. BioEssays, 43(3), 2000272. https://doi.org/10.1002/bies.202000272
Cunningham, J. (2021). Evolutionary game theory and optimal control for integrated metastatic management of prostate cancer. [Doctoral Thesis, Maastricht University]. https://doi.org/10.26481/dis.20210927jc
Cunningham, J., Bukkuri, A., Brown, J. S., Gillies, R. J., & Gatenby, R. A. (2021). Coupled source-sink habitats produce spatial and temporal variation of cancer cell molecular properties as an alternative to branched clonal evolution and stem cell paradigms. Frontiers in Ecology and Evolution, 9, 676071. https://doi.org/10.3389/fevo.2021.676071
Freischel, A. R., Damaghi, M., Cunningham, J., Ibrahim-Hashim, A., Gillies, R. J., Gatenby, R. A., & Brown, J. S. (2021). Frequency-dependent interactions determine outcome of competition between two breast cancer cell lines. Scientific Reports, 11(1), 4908. https://doi.org/10.3390/cancers15010018
Zhang, J., Cunningham, J., Brown, J. S., & Gatenby, R. A. (2021). Response to Mistry. Nature Communications, 12(1), 329. https://doi.org/10.1038/s41467-020-20175-3
Cunningham, J., Thuijsman, F., Peeters, R., Viossat, Y., Brown, J., Gatenby, R., & Stankova, K. (2020). Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer. PLOS ONE, 15(12), e0243386. https://doi.org/10.1371/journal.pone.0243386
Whelan, C. J., & Cunningham, J. (2020). Resistance is not the end: Lessons from pest management. Cancer Control, 27(1). https://doi.org/10.1177/1073274820922543
Cunningham, J. (2019). A call for integrated metastatic management. Nature Ecology & Evolution, 3(7), 996–998. https://doi.org/10.1038/s41559-019-0927-x
Howard, R., Scheiner, A., Cunningham, J., & Gatenby, R. (2019). Cytoplasmic convection currents and intracellular temperature gradients. PLOS Computational Biology, 15(11), e1007372. https://doi.org/10.1371/journal.pcbi.1007372
Cunningham, J., Brown, J. S., Gatenby, R. A., & Stankova, K. (2018). Optimal control to develop therapeutic strategies for metastatic castrate resistant prostate cancer. Journal of Theoretical Biology, 459, 67–78. https://doi.org/10.1016/j.jtbi.2018.09.022
You, L., Brown, J. S., Thuijsman, F., Cunningham, J., Gatenby, R. A., Zhang, J., & Stankova, K. (2017). Spatial vs. non-spatial eco-evolutionary dynamics in a tumor growth model. Journal of Theoretical Biology, 435, 78–97. https://doi.org/10.1016/j.jtbi.2017.08.022
Zhang, J., Cunningham, J., Brown, J. S., & Gatenby, R. A. (2017). Integrating evolutionary dynamics into treatment of metastatic castrate resistant prostate cancer: A pilot multidisciplinary study. Cancer Research, 77(13 Supplement), 5562–5562. https://doi.org/10.1038/s41467-017-01968-5
Brown, J. S., Cunningham, J., & Gatenby, R. A. (2016). Aggregation effects and population-based dynamics as a source of therapy resistance in cancer. IEEE Transactions on Biomedical Engineering, 64(3), 512–518. https://doi.org/10.1109/tbme.2016.2623564
Lloyd, M. C., Cunningham, J., Bui, M. M., Gillies, R. J., Brown, J. S., & Gatenby, R. A. (2016). Darwinian dynamics of intratumoral heterogeneity: Not solely random mutations but also variable environmental selection forces. Cancer Research, 76(11), 3136–3144. https://doi.org/10.1158/0008-5472.CAN-15-2962
Brown, J. S., Cunningham, J., & Gatenby, R. A. (2015). The multiple facets of Peto’s paradox: A life-history model for the evolution of cancer suppression. Philosophical Transactions of the Royal Society B, 370(1673), 20140221. https://doi.org/10.1098/rstb.2014.0221
Cunningham, J., Brown, J. S., Vincent, T. L., & Gatenby, R. A. (2015). Divergent and convergent evolution in metastases suggest treatment strategies based on specific metastatic sites. Evolution, Medicine, and Public Health, 2015(1), 76–87. https://doi.org/10.1093/emph/eov006
Cunningham, J., & Gatenby, R. (2014). SU-E-J-61: Electrodynamics and nanoscale fluid dynamics in protein localization of nuclear pore complexes. Medical Physics, 41(6Part7), 169–169. https://doi.org/10.1118/1.4888113
Gatenby, R., Cunningham, J., & Brown, J. (2014). Evolutionary triage governs fitness in driver and passenger mutations and suggests targeting never mutations. Nature Communications, 5(1), 5499. https://doi.org/10.1038/ncomms6499
Johnston, K. B., Hutchenson, K. D., Nyffenegger, P. A., Cunningham, J., & Volk, J. M. (2014). Ensemble sensor inspection: ANOVA with several independent univariate tests. IEEE Sensors Journal, 15(1), 19–26. https://doi.org/10.1109/JSEN.2014.2337116
Cunningham, J., Estrella, V., Lloyd, M., Gillies, R., Frieden, B. R., & Gatenby, R. (2012). Intracellular electric field and pH optimize protein localization and movement. PLOS ONE, 7(5), e36894. https://doi.org/10.1371/journal.pone.0036894
Cunningham, J., Gatenby, R. A., & Brown, J. S. (2011). Evolutionary dynamics in cancer therapy. Molecular Pharmaceutics, 8(6), 2094–2100. https://doi.org/10.1021
Ibrahim Hashim, A., Cornnell, H. H., Coelho Ribeiro, M. d. L., Abrahams, D., Cunningham, J., Lloyd, M., Martinez, G. V., Gatenby, R. A., & Gillies, R. J. (2011). Reduction of metastasis using a non-volatile buffer. Clinical & Experimental Metastasis, 28, 841–849. https://doi.org/10.1007/s10585-011-9415-7
In Review (2025)
Roberts, L. M., Hammel, J. H., Azar, F., Feng, T.-Y., Cunningham, J., Rutkowski, M. R., & Munson, J. (2024). Demonstration of chemotherapeutic mediated lymphatic changes in meningeal lymphatics in vitro, ex vivo, and in vivo. Nature Communications Biology. In revision. https://doi.org/10.1101/2024.01.06.574460
Carman-Esparza, C., Kingsmore, K., Vacarri, A., Davis, S., Cunningham, J., Wang, M., Munson, J. (2024). A novel methodology for mapping interstitial fluid dynamics in murine brain tumors using DCE-MRI. Methods. In revision.
Carman-Esparza, C., Cunningham, J., Stine, C., Atay, N., Kingsmore, K., Wang, M., Woodall, R., Rockne, R., Munson, J. (2024). Interstitial fluid transport dynamics spatially correspond to glioblastoma invasion, progression and recurrence. Science Translational Medicine. Under review.