This Week in #MathOnco
This week in
Mathematical Oncology
February 22, 2018 ~ Issue 9
From the editor
Another busy week in #MathOnco!
This week's issue marks the release of a new exciting book on the systems biology point of view of cancer. One preprint develops a model of the “shy younger sibling” of natural selection, called spatial sorting. Articles on immunotherapy, subclonal evolution, and glioma resistance models were also released. All this and more, below.
Enjoy,
-Jeffrey West
#MathOnco Publications
Modeling the subclonal evolution of cancer cell populations
Authors: Diego Chowell, James Napier, Rohan Gupta, ..., Melissa A. Wilson Sayres
Multiscale modeling of inflammation-induced tumorigenesis reveals competing oncogenic and oncoprotective roles for inflammation
Authors: Yucheng Guo, Qing Nie, Adam L. MacLean, Yanda Li, Jinzhi Lei and Shao Li
In silico modeling of immunotherapy and stroma-targeting therapies in human colorectal cancer
Authors: Jakob Nikolas Kather, Jan Poleszczuk, Meggy Suarez-Carmona, ..., Niels Halama
A spatio-temporal model of macrophage-mediated drug resistance in glioma immunotherapy
Authors: Yongjiang Zheng, Jiguang Bao, Qiyi Zhao, Tianshou Zhou and Xiaoqiang Sun
#MathOnco Preprints
The population genetics of spatial sorting
Authors: Ben Phillips and T. Alex Perkins
PhysiBoSS: a multi-scale agent based modelling framework integrating physical dimension and cell signalling
Authors: Gaelle Letort, Arnau Montagud, Gautier Stoll, ..., Laurence Calzone
Sensitivity of asymmetric rate-dependent critical systems to initial conditions: insights into cellular decision making
Authors: Nuno R. Nene, James Rivington, Alexey Zaikin
Using mathematical modeling to ask meaningful biological questions through combination of bifurcation analysis and population heterogeneity
Authors: Irina Kareva
#MathOnco blogs
Scant evidence of power laws found in real-world networks
Are networks found in nature scale-free, or something else entirely? This blog post is an interesting recap on the recent controversy surrounding a recent preprint stating "the proposition that most complex networks in the real world — from the World Wide Web to interacting proteins in a cell — are scale-free.”
#MathOnco Books
Understanding Cancer from a Systems Biology Point of View:
From Observation to Theory and Back
Irina Kareva: The books aims to help readers "understand the systemic nature of cancer and how it affects treatment approaches and decisions." It is a valuable resource for cancer researchers, cancer biologists, mathematicians and members of the biomedical field who are interested in applying systems biology methodologies for understanding and treating cancer.
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