#MathOnco Issue 63: the future of math oncology; stem-cell heterogeneity, biomech. tumor-induced intracranial pressure, spontaneous/induced evolution
This week in
Mathematical Oncology
April 25, 2019 ~ Issue 63
From the editor
#MathOnco friends,
Today's issue contains articles on stem-cell heterogeneity, biomechanics of tumor-induced intracranial pressure, spontaneous and induced evolution, and a nice forward-looking overview of math oncology.
A bunch of the publications from the past few weeks are coming from a special issue in Math Oncology in JCO, check it out here.
Enjoy,
-Jeffrey West
#MathOnco Publications
The 2019 Mathematical Oncology Roadmap
Authors: Russell C. Rockne, Andrea Hawkins-Daarud, Kristin R. Swanson, James P Sluka, ..., Daniel Nichol, Andriy Marusyk, Michael Hinczewski and Jacob G. Scott
Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment
Authors: Anne Dirkse, Anna Golebiewska, Thomas Buder, Petr V. Nazarov, ..., Rolf Bjerkvig, Andreas Deutsch, Anja Voss-Böhme & Simone P. Niclou
A Biomechanical Model of Tumor-induced Intracranial Pressure and Edema in Brain Tissue
Authors: Inmaculada C.Sorribes, Matthew N.J.Moore, Helen M.Byrne, Harsh V.Jain
Immunologic Consequences of Sequencing Cancer Radiotherapy and Surgery
Authors: Juan Carlos López Alfonso, Jan Poleszczuk, Rachel Walker, Sungjune Kim, ..., Hatem Soliman, Brian Czerniecki, Louis B. Harrison, and Heiko Enderling
Leveraging Single-Cell RNA Sequencing Experiments to Model Intratumor Heterogeneity
Authors: Meghan C. Ferrall-Fairbanks, Markus Ball, Eric Padron, Philipp M. Altrock
Mathematical Approach to Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment
Authors: James M. Greene, Jana L. Gevertz, Eduardo D. Sontag
Quantifying Drug Combination Synergy along Potency and Efficacy Axes
Authors: Christian T. Meyer, David J. Wooten, B. Bishal Paudel, Joshua Bauer, Keisha N. Hardeman, David Westover, Christine M. Lovly, Leonard A. Harris, Darren R. Tyson, Vito Quaranta
#MathOnco Preprints
How many samples are needed to infer truly clonal mutations from heterogenous tumours?
Authors: Luka Opasic, Da Zhou, Benjamin Werner, David Dingli, Arne Traulsen
Adaptive therapy with multiple treatments
Jeffrey West: "I will review two paradigms to aid our pursuit of designing adaptive schedules with multiple treatments. The first, “primary-secondary” approach primarily relies on a single drug administered adaptively, but adds a secondary treatment with a slight delay after each adaptive dose. A second approach steers tumor evolution into “cycles,” returning the tumor back to its original pre-treatment state, regardless of tumor burden."
#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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