Research

Publications

Konstorum, A., Vella, A.T., Adler, A.J., Laubenbacher, R.C.  (2019) A mathematical model of combined CD8 T cell costimulation by 4-1BB (CD137) and OX40 (CD134) receptors. Scientific Reports, 9: 10862. doi:10.1038/s41598-019-47333-y.

Tesfay, L., Paul, B.T., Konstorum, A., Deng, Z., Cox, A.O., Lee, J., Furdui C.M., Hegde, P., Torti, F.M., Torti, S.V. (2019) Steroyl-CoA Desaturase 1 (SCD1) protects ovarian cancer cells from ferroptotic cell death, Cancer Res. doi: 10.1158/0008-5472.CAN-19-0369.

Want M.Y, Konstorum, A., Huang, R.-Y., Jain, V., Matsueda, S., Tsuji, T., Lugade, A., Odunsi, K., Koya, R., Battaglia, S. (2019) Neoantigens retention in patient derived xenograft models mediates autologous T cells activation in ovarian cancer, OncoImmunology. doi: 10.1080/2162402X.2019.1586042

Konstorum, A., Lynch, M.L., Torti, S.V., Torti, F.M., Laubenbacher R.C. (2018), A systems biology approach to understanding the pathophysiology of high grade serous ovarian cancer: focus on iron and fatty acid metabolism, OMICS: A Journal of Integrative Biology, 22(7): July 1, 2018. doi:10.1089/omi.2018.0060

Blanchette-Farra, N., Kita, D., Konstorum, A., Tesfay, L., Lemler, D., Hedge, P., Wang, X., Claffey, K., Torti, F. M., Torti, S. V. (2018) 3D Culture Reveals Novel Regulation of Hepcidin in Breast Cancer, Oncogene Apr 26. doi: 10.1038/s41388-018-0243-y

Konstorum, A., Jekel, N., Vidal E., Laubenbacher R. (2018) Comparative Analysis of Linear and Nonlinear Dimension Reduction Techniques on Mass Cytometry Data, bioRxiv 273862; doi:org/10.1101/273862

Konstorum, A., Lowengrub, J.S. (2018) Activation of the HGF/c-Met axis in the tumor microenvironment: a multispecies model, Journal of Theoretical Biology, 439: 86-99. doi: org/10.1016/j.jtbi.2017.11.025 (.)

Yan, H.*, Konstorum, A.*, Lowengrub, J.S. (2017) Three-dimensional spatiotemporal modeling of colon cancer organoids reveals that multimodal control of stem cell self-renewal is a critical determinant of size and shape in early stages of tumor growth, Bulletin of Mathematical Biology. doi:10.1007/s11538-017-0294-1 (.) (*authors contributed equally to the manuscript).

Konstorum, A., Vella, A.T., Adler, A.J., Laubenbacher, R.C. (2017) Addressing current challenges in cancer immunotherapy with mathematical and computational modeling, Journal of the Royal Society Interface, 14(131): 20170150. doi:10.1098/rsif.2017.0150 (.)

Konstorum, A., Hillen, T., Lowengrub, J.S. (2016) Feedback regulation in a cancer stem cell model can cause an Allee effect, Bulletin of Mathematical Biology78(4), 754-785. doi:10.1007/s11538-016-0161-5 (.)

Konstorum, A., Sprowl, S.A., Lander, A.D., Waterman, M.L., Lowengrub, J.S. (2013) Predicting mechanism of biphasic growth factor action on tumor growth using a multi-species model with feedback control, J. Coupled Syst. Multiscale Dyn, 1(4), 459-467. doi:10.1166/jcsmd.2013.1028 (.)

Lim M., Hou A., Congdon N., Chua J. (2013) Feature Identification for Colon Tumor Classification, SIAM Undergraduate Journal Online, 6, 264-274. (Served as faculty advisor). doi:10.1137/13S012212 (.)

Konstorum, A., Sprowl, S.A., Lander, A.D., Waterman, M.L., Lowengrub, J.S. (2013) Elaboration of a multispecies model of solid tumor growth with tumor-host interactions, Proc. 3rd Int Conf. Appl. Nonlinear Dynamics, Seattle, WA Springer Verlag p.295-303doi:10.1007/978-3-319-02925-2_26 (.)

Zhou, B., Tieu, K.H., Konstorum, A., Duong, T., Wells, WM, Brown, G.G., Stern, H., and Shahbaba, B. (2013) A hierarchical modeling approach to data analysis and study design in a multi-site experimental fMRI study, Psychometrika, 78(12), 260-278. doi:10.1007/s11336-012-9298-9 (.)

Wang, T.T., Tavera-Mendoza, L., Laperriere, D., Nagai, Y., Burton MacLeod, N., Libby, E., Zhang, R., Bourdeau, V., Konstorum, A., Lallemant, B., Mader, S. and White, J.H. (2005) Large-scale in silico and microarray-based genomic screening of 1,25-dihydroxyvitamin D3 target genes, Mol. Endocrinol. 19, 2685-95. doi:10.1210/me.2005-0106 (.)

Theses

Konstorum, A (2015) Mathematical modeling of tumor-microenvironment dynamics, Ph.D. Thesis. University of California, Irvine. Permalink (.)

Konstorum, A. (2010) Computational determination of SNP-induced splicing deregulation in the human genome, M.S. Thesis. University of California, Los Angeles. (.)

Invited Talks

(Upcoming) Identifying critical pathways for ferroptosis using a systems approach (01/18/20); AMS Special Session on Computational Biomedicine, Joint Mathematics Meetings, Denver, Colorado.  Co-authors: S.V. Torti, F.M. Torti, R.C. Laubenbacher (abstract, session program)

Mathematical models for cancer immunotherapy, review and new directions (1/24-1/25/2019); Workshop on ‘Recent advances in joint models for cancer and the new statistical challenge of immunotherapy clinical studies’, Cancéropôle Grand Sud-Ouest, Bordeaux, France (poster, slides)

An intracellular model of synergistic CD8 T cell costimulation by 4-1BB (CD137) and OX40 (CD134) (1/16 – 1/20/2019); AMS Special Session on Recent Advancements in Mathematical Modeling of Cancer, Joint Mathematics Meetings, Baltimore, Maryland.

Mathematics of Multistationarity (03/2015); Whittier College, Whittier, CA; Cal State Fullerton, Fullerton, CA (slides)

Talks

Dimension reduction for mass cytometry: a comparative analysis (12/10 – 12/11/2018);  3rd IMA Conference on the Mathematical Challenges of Big Data, London, England (details)

Comparative Analysis of Dimension Reduction Techniques on Mass Cytometry Data (04/2018); Advancing Women’s Impact in Mathematics Symposium (AWIMS), Worcester Polytechnic Institute, Worcester, MA

Synergy through nonlinearity: a model for supereffector T cell generation by immunotherapy (7/2017); Society for Mathematical Biology Annual Meeting, Salt Lake City, Utah

A stochastic algebraic model of synergistic T cell activation by pharmaceutical agonists (7/2016); SIAM Conference on the Life Sciences, Boston, MA

A multi-level model of synergistic T cell activation (5/2016); Biology and Medicine Through Mathematics (BAMM!) Conference, Richmond, VA (abstract)

Feedback regulation in a cancer stem cell model can cause an Allee effect (12/2015); Present Challenges of Mathematics in Oncology and Cancer, Centre International de Rencontres Mathématiques (CIRM), Marseille, France

Quantification of tumor-environment interactions (05/2014); Center for Complex Biological Systems Center Retreat, Pasadena, CA

A multispecies mathematical model to predict non-monotonic effects of HGF on tumor spheroid growth (08/2013); Applied Mathematics, Modeling, and Computational Science (AMMCS) Conference, Waterloo, Canada

Select Posters

A systems-level approach identifies novel links between iron and fatty acid metabolism in high-grade serous ovarian cancer (04/2018); American Association for Cancer Research (AACR) Annual Meeting, Chicago, IL

Comparative Analysis of Linear and Nonlinear Dimension Reduction Techniques on Mass Cytometry Data (09/2016); Mathematical Biosciences Institute (MBI) Emphasis Workshop ‘Topological, Geometric, and Statistical Techniques in Biological Data Analysis’, Columbus, Ohio.

Incorporation of the HGF/c-Met axis into a multispecies model of solid tumor growth (06/2015); Society for Mathematical Biology Annual Meeting, Atlanta, Georgia.

Prediction of biphasic mitogenic activity by HGF, a cancer-associated stroma-derived growth factor, using a multispecies continuum model (08/2014); SIAM Conference on the Life Sciences, Charlotte, North Carolina (.)

Predicting nonlinearity of tumor spheroid growth in HGF media: a data-driven multispecies continuum model (06/2013); Institute of Physics (IOP) Conference: Physics of Emergent Behaviour, Brighton, UK

Towards an experimentally-calibrated multispecies continuum model of tumor growth in microenvironment (08/2012); International Conference on Theory and Applications in Nonlinear Dynamics, Seattle, WA.