#MathOnco Issue 64: physical sciences in oncology; heterogeneity; games & graphs
This week in
Math Oncology
May 2, 2019 ~ Issue 64
From the editor
#MathOnco friends,
I hope you enjoy the redesigned look & feel of the newsletter, we all need a change of pace sometimes! Today's issue contains a review on the last ten years of PS-ON initiatives (physical sciences in oncology), some publications on heterogeneity, and a few on games/graphs.
How is it May already? Regardless, the best of April is linked at the bottom, in case you missed it.
Happy sciencing,
-Jeffrey West
#MathOnco Publications
The Physics of Cancer
Authors: Forest M. White, Robert A. Gatenby and Claudia Fischbach
Optimal Scheduling of Bevacizumab and Pemetrexed/cisplatin Dosing in Non‐Small Cell Lung Cancer
Authors: Benjamin K Schneider, Arnaud Boyer, Joseph Ciccolini, Fabrice Barlesi, Kenneth Wang, Sebastien Benzekry, Jonathan P Mochel
Single-cell transcriptome-based multilayer network biomarker for predicting prognosis and therapeutic response of gliomas
Authors: Ji Zhang, Meige Guan, Qianliang Wang, Jiajun Zhang, Tianshou Zhou, Xiaoqiang Sun
Natural Selection Between Two Games with Applications to Game Theoretical Models of Cancer
Authors: Irina Kareva, Georgy Karev
Exploring and mapping the universe of evolutionary graphs identifies structural properties affecting fixation probability and time
Authors: Marius Möller, Laura Hindersin & Arne Traulsen
#MathOnco Preprints
Modeling the competing effects of the immune system and EMT on tumor development
Authors: Daniel R. Bergman, Matthew K. Karikomi, Qing Nie, Adam L. MacLean
Maximum Entropy Framework For Inference Of Cell Population Heterogeneity In Signaling Networks
Authors: Purushottam D. Dixit, Eugenia Lyashenko, Mario Niepel, Dennis Vitkup
A novel averaging principle provides insights in the impact of intratumoral heterogeneity on tumor progression
Authors: Marta Leocata, J. C. L. Alfonso, Nikos I. Kavallaris, Haralampos Hatzikirou
#MathOnco - Book of the month
Evolutionary Dynamics: Exploring the Equations of Life
Martin Nowak: This book, "draws on the languages of biology and mathematics to outline the mathematical principles according to which life evolves [and] presents a range of analytical tools that can be used to this end: fitness landscapes, mutation matrices, genomic sequence space, random drift, quasispecies, replicators, the Prisoner’s Dilemma, games in finite and infinite populations, evolutionary graph theory, games on grids, evolutionary kaleidoscopes, fractals, and spatial chaos."
Most clicked links of April
Can we afford to ignore the role of space in cancer and pre-cancerous tissue any longer?
Prediction of Bone Metastasis in Inflammatory Breast Cancer Using a Markov Chain Model
Stochastic Evolution of Pancreatic Cancer Metastases During Logistic Clonal Expansion
Jobs
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