This Week in #MathOnco
This week in
Mathematical Oncology
January 25, 2018 ~ Issue 6
From the editor
Another week, another #MathOnco newsletter! This week features some new (to me, at least) methods including Boolean models and biased voter models. As always, heterogeneity and homeostasis continue to be hot topics in modeling (rightly so!).
In case you missed it: here is .
-Jeffrey West
#MathOnco Publications
Optimal Control for a Mathematical Model of Glioma Treatment with Oncolytic Therapy and TNFa Inhibitors
Authors: Elzbieta Ratajczyk, Urszula Ledzewicz, Heinz Schattler
Intratumoral morphological heterogeneity can be an indicator of genetic heterogeneity in colorectal cancer
Authors: Juliane Buttner, Korinna Johrens, ..., Annika Lehmann
#MathOnco Preprints
Simulating heterogeneous populations using Boolean models
Authors: Brian C Ross, Mayla Boguslav, Holly Weeks, James Costello
Genealogies in solid growing tumors
Authors: Rick Durrett
Stochastic methods for inferring states of cell migration
Authors: Richard J Allen, Christopher Welch, ..., Timothy C Elston
Dynamic compensation and homeostasis: a feedback control perspective
Authors: Michel Fliess, Cedriv Join
#MathOnco blogs
How cancer outsmarts multicellularity
David Goode: "A more formal framework for this reversion is the Atavism hypothesis of cancer, which proposes that cancer cells lose their identity as cells of a multicellular tissue, and start to behave more like unicellular organisms. The atavism hypothesis of cancer was largely founded on the broad phenotypic similarities between cancer cells and unicellular species such as bacteria and yeast."
Evidence for math model to predict response to immunotherapy
Mark L Fuerst: "The proposed mathematical model, which captures aspects of the tumor's evolution and the underlying interactions of the tumor with the immune system, is more accurate than previous genomic biomarkers in predicting how the tumor will respond to immunotherapy... [and] has the potential to help find new therapeutic targets within the immune system and design vaccines for patients who do not typically respond to immunotherapy."
#MathOnco Books
Fundamentals of data visualization
If you haven't yet heard of Claus O. Wilke, he needs to be on your radar screen. As an expert in data visualization, analysis, and communication, the math oncology community could greatly benefit from his knowledge. Good news for us, his recently released book "Fundamentals of Data Visualization" is released online.
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