#MathOnco Issue 37: evolutionary simulations; perspectives on tumor heterogeneity; super twisting sliding control
This week in
Mathematical Oncology
Sept. 27, 2018 ~ Issue 37
From the editor
Greetings fellow Math Onco researchers,
I am always eager to write to you and disseminate the week's new knowledge generated in math oncology -- this week we have several articles on perspectives of tumor heterogeneity, a few optimal control papers, and I've included a useful blog post discussing simulations of evolution and their usefulness!
Enjoy,
-Jeffrey West
#MathOnco Publications
New insights from the widening homogeneity perspective to target intratumor heterogeneity
Authors: Mengying Tong, Ziqian Deng, Xiaolong Zhang, Quentin Liu
Pan-cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability
Authors: Franck Raynaud, Marco Mina, Daniele Tavernari, Giovanni Ciriello
Applications of mechanistic modelling to clinical and experimental immunology: an emerging technology to accelerate immunotherapeutic discovery and development
Authors: L. V. Brown E. A. Gaffney J. Wagg M. C. Coles
Super Twisting Sliding Mode Control of Cancer Chemotherapy
Authors: Bhabani Shankar Dey, Manas Kumar Bera, Binoy Krishna Roy
Revealing tumor heterogeneity of breast cancer by utilizing the linkage between somatic and germline mutations
Authors: Meng Zou Rui Jin Kin Fai Au
Optimal Control to Develop Therapeutic Strategies for Metastatic Castrate Resistant Prostate Cancer
Authors: Jessica J.Cunningham Joel S.Brown Robert A. Gatenby Kateřina Staňková
#MathOnco Preprints
Hematopoietic Stem Cell Dynamics are Regulated by Progenitor Demand: Lessons from a Quantitative Modeling Approach
Authors: Markus Klose, Maria Carolina Florian, Hartmut Geiger, Ingmar Glauche
Extinction times in diffusive public good population dynamics
Authors: Gregory Kimmel, Philip Gerlee, Philipp Altrock
#MathOnco News
Hobbes on knowledge & computer simulations of evolution
Artem Kaznatcheev: "I think that theoretical computer science can provide the unifying formal framework that biology needs. In particular, the cstheory approach to reductions is the more robust (compared to physics) notion of ‘theory reduction’ that a pluralistic discipline like evolutionary biology could benefit from. However, I still don’t have any idea of how such a formal framework would look in practice."
#MathOnco - Book of the month
Arrival of the Fittest
Andreas Wagner: "Natural selection can preserve innovations, but it cannot create them. Nature’s many innovations—some uncannily perfect—call for natural principles that accelerate life’s ability to innovate. Darwin’s theory of natural selection explains how useful adaptations are preserved over time. But the biggest mystery about evolution eluded him. As genetics pioneer, Hugo de Vries put it, “natural selection may explain the survival of the fittest, but it cannot explain the arrival of the fittest."
#MathOnco - Best of last month
Most clicked links of August
The Genetic/Non-genetic Duality of Drug ‘Resistance’ in Cancer
The Importance of Spatial Randomness in the Evolutionary Dynamics of Mutants
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