#MathOnco Issue 62: evolutionary extinction; angiogenesis & MRI; tumor cell infiltration; multi-drug adaptive; aging & senescence; eco-evo feedback
This week in
Mathematical Oncology
April 18, 2019 ~ Issue 62
From the editor
#MathOnco friends,
Today's issue contains articles on evolutionary extinction in cancer, predictive models of angiogenesis using MRI data, tumor cell infiltration modeling, and more. With great pleasure, I also included one of my own recently released publications on designing multi-drug adaptive therapies.
In the interest of expanding our horizons, I've included a few non-cancer math model driven preprints: one on aging & senescence, and another on eco-evo feedback dynamics.
Enjoy,
-Jeffrey West
#MathOnco Publications
Multidrug cancer therapy in metastatic castrate-resistant prostate cancer: An evolution-based strategy
Authors: Jeffrey B West, Mina N Dinh, Joel S Brown, Jingsong Zhang, Alexander RA Anderson and Robert A Gatenby
Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRI
Authors: David A. Hormuth II, Angela M. Jarrett, Xinzeng Feng, Thomas E. Yankeelov
Impact of Tumour Cell Infiltration on Treatment Outcome in Gamma Knife Radiosurgery: A Modelling Study
Authors: Marta Lazzeroni, Zohreh Khazraei Manesh, Helena Sandstrom, Pierre Barsoum, Iuliana Toma-Dasu
Translating insights into tumor evolution to clinical practice: promises and challenges
Authors: Matthew W. Fittall and Peter Van Loo
#MathOnco Preprints
Eradicating Metastatic Cancer and the Evolutionary Dynamics of Extinction
Authors: Robert Gatenby and Joel S. Brown
The role of dose-density in combination cancer chemotherapy
Authors: Álvaro G. López, Kelly C. Iarosz, Antonio M. Batista, Jesús M. Seoane, Ricardo L. Viana, Miguel A. F. Sanjuán
Destabilizing evolutionary and eco-evolutionary feedbacks drive empirical eco-evolutionary cycles
Authors: Michael H. Cortez, Swati Patel, Sebastian J. Schreiber
Senescent cells and the dynamics of aging
Authors: Omer Karin, Amit Agrawal, Ziv Porat, Valery Krizhanovsky, Uri Alon
Adaptive therapy in bone metastatic prostate cancer - a window through agent-based models
David Basanta: "Mathematical models, especially agent-based ones, are good theoretical frameworks in which to study adaptive therapies. These models tend to ignore the ecosystem that cancers inhabit which, in my view, is likely to affect if adaptive therapies work and how. Fortunately, we have an agent-based model of the bone ecosystem in the context of prostate cancer. This bone metastatic agent-based model was modified so to include two types of tumor cells: TGF-Beta producing (which also requires that cytokine for survival) and TGF-Beta neutral. Cells that can use TGF-Beta proliferate faster (as they can use TGF-Beta) but are sensitive to a treatment that targets them and spares the TGF-Beta neutral cells. How does this tumor look like when a) we don’t treat it, b) we use continuous treatment or c) we use an adaptive therapy?"
#MathOnco - Book of the month
The Oxford Handbook of Evolutionary Medicine
Martin Brune & Wulf Schiefenhovel: "Many adaptations to past ecologies have turned into risk factors for somatic disease and psychological disorder in our modern worlds (i.e. mismatch), among which epidemics of autoimmune diseases, cardiovascular diseases, diabetes and obesity, as well as several forms of cancer stand out. The Oxford Handbook of Evolutionary Medicine is a compilation of cutting edge insights into the evolutionary history of ourselves as a species, and how and why our evolved design may convey vulnerability to disease. "
Most clicked links of March
The Immune Checkpoint Kick Start: Optimization of Neoadjuvant Combination Therapy Using Game Theory
The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer
PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems
A numerical approach for a discrete Markov model for progressing drug resistance of cancer
Jobs
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