Paul Macklin's Math Cancer Lab Website

Publications (in reverse chronological order)

Journal Articles

  1. S.M. Mumenthaler, G. D'Antonio, L. Preziosi, and P. Macklin. The need for integrative computational oncology: An illustrated example through MMP-mediated tissue degradation. Front. Oncol. 3:194, 2013. DOI: 10.3389/fonc.2013.00194.
  2. A.Z. Hyun and P. Macklin. Improved patient-specific calibration for agent-based cancer modeling. J. Theor. Biol. 317:422-4, 2013. DOI: 10.1016/j.jtbi.2012.10.017.
  3. G. D'Antonio, P. Macklin, and L. Preziosi. An agent-based model for elasto-plastic mechanical interactions between cells, basement membrane and extracellular matrix. Math. Biosci. Eng. 10(1):75-101, 2013. DOI: 10.3934/mbe.2013.10.75.
  4. P. Macklin, M.E. Edgerton, A.M. Thompson, and V. Cristini. Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): From microscopic measurements to macroscopic predictions of clinical progression. J. Theor. Biol. 301:122-40, 2012. DOI: 10.1016/j.jtbi.2012.02.002.
  5. H. Hatzikirou, A. Chauviere, A.L. Bauer, A. Leier, M.T. Lewis, P. Macklin, T.T. Marquez-Lago, E.L. Bearer, and V. Cristini. Integrative physical oncology. WIREs Syst. Biol. Med. 4(1):1-14, 2012 (invited author: V. Cristini). DOI: 10.1002/wsbm.158.
  6. M.E. Edgerton, Y.-L. Chuang, P. Macklin, W. Yang, E.L. Bearer, and V. Cristini. A novel, patient-specific mathematical pathology approach for assessment of surgical volume: Application to ductal carcinoma in situ of the breast. Anal. Cell. Pathol. 34(5):247-63, 2011. DOI: 10.3233/ACP-2011-0019.
  7. T.S. Deisboeck, Z. Wang, P. Macklin, and V. Cristini. Multiscale Cancer Modeling. Annu. Rev. Biomed. Eng. 13:127-155, 2011 (invited author: T.S. Deisboeck). DOI: 10.1146/ANNUREV-BIOENG-071910-124729.
  8. J. Lowengrub, H.B. Frieboes, F. Jin, Y.-L. Chuang, X. Li, P. Macklin, S.M. Wise, and V. Cristini. Nonlinear modeling of cancer: Bridging the gap between cells and tumors. Nonlinearity 23(1):R1-R91, 2010 (invited author: J. Lowengrub). DOI: 10.1088/0951-7715/23/1/R01.
  9. P. Macklin, S.R. McDougall, A.R.A. Anderson, M.A.J. Chaplain, V. Cristini, and J.S. Lowengrub. Multiscale modelling and nonlinear simulation of vascular tumour growth. J. Math. Biol. 58(4-5):765-798, 2009. DOI: 10.1007/s00285-008-0216-9.
  10. P. Macklin and J.S. Lowengrub. A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth. J. Sci. Comput. 35(2-3):266-299, 2008 (invited author: J.S. Lowengrub). DOI: 10.1007/s10915-008-9190-z.
  11. H.B. Frieboes, J.S. Lowengrub, S.M. Wise, X. Zheng, P. Macklin, E.L. Bearer, and V. Cristini. Computer Simulation of Glioma Growth and Morphology. NeuroImage 37:S59-S70, 2007. DOI: 10.1016/j.neuroimage.2007.03.008.
  12. P. Macklin and J.S. Lowengrub. Nonlinear simulation of the effect of microenvironment on tumor growth. J. Theor. Biol. 245(4):677-704, 2007. DOI: 10.1016/j.jtbi.2006.12.004.
  13. P. Macklin and J.S. Lowengrub. An improved geometry-aware curvature discretization for level set methods: application to tumor growth. J. Comput. Phys. 215(2):392-401, 2006. DOI: 10.1016/j.jcp.2005.11.016.
  14. P. Macklin and J.S. Lowengrub. Evolving interfaces via gradients of geometry-dependent interior Poisson problems: application to tumor growth. J. Comput. Phys. 203(1):191-220, 2005. DOI: 10.1016/j.jcp.2004.08.010.

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Book Chapters

  1. P. Macklin, S. Mumenthaler, and J. Lowengrub. "Modeling multiscale necrotic and calcified tissue biomechanics in cancer patients: application to ductal carcinoma in situ (DCIS)". In: A. Gefen (ed.), Multiscale Computer Modeling in Biomechanics and Biomedical Engineering, chap. 13, pp. 349-80, Springer, Berlin, Germany, 2013. ISBN: 9783642364815. (invited author: P. Macklin). DOI: 10.1007/8415_2012_150.
  2. P. Macklin, M.E. Edgerton, and V. Cristini. "Agent-based cell modeling: application to breast cancer". In: V. Cristini and J.S. Lowengrub, Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach, chap. 10, pp. 206-234, Cambridge University Press, Cambridge, UK, 2010. ISBN: 9780521884426. (invited author: P. Macklin). DOI: 10.1017/CBO9780511781452.011.
  3. P. Macklin, M.E. Edgerton, J.S. Lowengrub, and V. Cristini. "Discrete cell modeling". In: V. Cristini and J.S. Lowengrub, Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach, chap. 6, pp. 88-122, Cambridge University Press, Cambridge, UK, 2010. ISBN: 9780521884426. (invited author: P. Macklin). DOI: 10.1017/CBO9780511781452.007.
  4. P. Macklin. "Biological background". In: V. Cristini and J.S. Lowengrub, Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach, chap. 2, pp. 8-23, Cambridge University Press, Cambridge, UK, 2010. ISBN: 9780521884426. (invited author: P. Macklin). DOI: 10.1017/CBO9780511781452.003.
  5. P. Macklin, J. Kim, G. Tomaiuolo, M.E. Edgerton, and V. Cristini. "Agent-Based Modeling of Ductal Carcinoma in Situ: Application to Patient-Specific Breast Cancer Modeling". In: T. Pham (ed.), Computational Biology: Issues and Applications in Oncology, chap. 4, pp. 77-111, Springer, New York, NY USA, 2009. ISBN: 9781441908100. (invited author: P. Macklin). DOI: 10.1007/978-1-4419-0811-7_4.
  6. V. Cristini, H.B. Frieboes, X. Li, J.S. Lowengrub, P. Macklin, S. Sanga, S.M. Wise, and X. Zheng. "Nonlinear modeling and simulation of tumor growth". In: N. Bellomo, M.A.J. Chaplain, and E. de Angelis (eds.), Selected topics in cancer modeling: Genesis, evolution, immune competition, and therapy. Modelling and Simulation in Science, Engineering, and Technology, chap. 6, pp. 113-82, Birkhäuser, Boston, MA USA, 2008. ISBN: 9780817647124. (invited author: V. Cristini). DOI: 10.1007/978-0-8176-4713-1.

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Preprints (Works in Review)

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Peer-Reviewed Abstracts

  1. P. Macklin, S. Mumenthaler, L.B. Jordan, C.A. Purdie, A.J. Evans, D.B. Agus, and A.M. Thompson, Integration of Pathology, Radiology, and in vitro Data in Patient-Calibrated Cancer Simulations: Recent Advances and Future Outlook for Ductal Carcinoma In Situ (DCIS), Annual Meeting for the Society of Mathematical Biology, Mini-symposium 12: Bridging mathematical models and experiments. (2012, submitted)
  2. P. Macklin, M.E. Edgerton, A.J. Evans, C.A. Purdie, L.B. Jordan, A.M. Thompson, and V. Cristini, Patient-calibrated modeling of ductal carcinoma in situ (DCIS): From microscopic measurements to macroscopic predictions of clinical progression, Second Annual National Cancer Institute Physical Science-Oncology Centers (NCI PS-OCs) Network Investigators' Meeting, ``Determining if there is and/or defining a fundamental equation of cancer'' session. (2011)
  3. P. Macklin, M.E. Edgerton, V. Cristini, L.B. Jordan, C.A. Purdie, A.J. Evans, and A.M. Thompson, An illustration of patient-specific cancer modelling: from microscopic data to macroscopic, quantitative predictions, 8th European Conference on Mathematical and Theoretical Biology / Annual Meeting of the Society for Mathematical Biology (ECMTB/SMB), Mini-symposium 9: Multiscale modeling of biological systems: From Physical Tools to Applications in Tumor Growth Modeling--I. (2011)
  4. P. Macklin, M.E. Edgerton, V. Cristini, L.B. Jordan, C.A. Purdie, A.J. Evans, and A.M. Thompson, Mechanistic cell-scale modelling of ductal carcinoma in situ (DCIS): impact of biomechanics in comedonecrosis, 8th European Conference on Mathematical and Theoretical Biology / Annual Meeting of the Society for Mathematical Biology (ECMTB/SMB), Mini-symposium 74: Mechanical Models of Movement and Growth of Cells and Tissues--I. (2011)
  5. A. Kumar, Y.-L. Chuang, P. Macklin, S. Sanga, J. Kim, G. Tomaiuolo, V. Cristini, and M.E. Edgerton, A model to predict the proliferation index of ductal carcinoma in situ, AACR Meeting Abstracts Online 2009 Abstract 2444, 2009.
  6. M.E. Edgerton, Y.-L. Chuang, P. Macklin, J. Kim, G. Tomaiuolo, A.D. Broom, S. Sanga, and V. Cristini, Simulation of growth of DCIS parameterized from IHC, Modern. Pathol. 22 (Suppl. 1):37A-38A, Abstract 157, 2009.
  7. M.E. Edgerton, Y.-L. Chuang, P. Macklin, S. Sanga, J. Kim, G. Tomaiuolo, W. Yang, A.D. Broom, K.-A. Do, and V. Cristini, Using Mathematical Models to Understand the Time Dependence of the Growth of Ductal Carcinoma in Situ, Canc. Res. 69 (Suppl. 2):Abstract 1165, 2009.

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Theses

  1. P. Macklin, Toward Computational Oncology: Nonlinear Simulation of Centimeter-Scale Tumor Growth in Complex, Heterogeneous Tissues, Ph.D. Dissertation, University of California, Irvine Department of Mathematics, 2007.
  2. P. Macklin, Nonlinear Simulation of Tumor Growth and Chemotherapy, M.S. Thesis, University of Minnesota School of Mathematics, 2003.
  3. P. Macklin, Analysis of an Explicit Finite Difference Scheme for a Groundwater Flow Problem, Undergraduate Honors Thesis, University of Nebraska-Lincoln Honors Program, 1999.

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Works in Preparation

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