#MathOnco Issue 31: game theory optimizations, stem cells and EMT, somatic evolution, visualizing bio data
This week in
Mathematical Oncology
Aug. 16, 2018 ~ Issue 31
From the editor
Hello all,
I hope you all enjoy this week's collection of mathematical oncology publications and preprints! One interesting bit of news in the math biology world this week is that the authors of manscripts on bioRxiv can now submit papers directly to the Bulletin of Math Biology (announcement tweeted here). Enjoy,
-Jeffrey West
#MathOnco Publications
Optimizing Cancer Treatment Using Game Theory
Authors: Kateřina Staňková, Joel S. Brown, William S. Dalton, Robert A. Gatenby
Stem cells: a window of opportunity in low-dimensional EMT
space
Authors: Qing Nie
Insight into treatment of HIV infection from viral dynamics models
Authors: Alison L. Hill Daniel I. S. Rosenbloom Martin A. Nowak Robert F. Siliciano
#MathOnco Preprints
A somatic evolutionary model of the dynamics of aneuploid cells during hematopoietic reconstitution
Authors: Andrii Rozhok, Rebecca Estelle Silberman, Angelika Amon, James DeGregori
Somatic maintenance impacts the evolution of mutation rate
Authors: Andrii Rozhok, James DeGregori
Mutational likeliness and entropy help to identify driver mutations and their functional role in cancer
Authors: Giorgio Mattiuz, Salvatore Di Giorgio, Lorenzo Tofani, Antonio Frandi, Francesco Donati, Matteo Brilli, Silvestro G Conticello
Visualizing Transitions and Structure for Biological Data Exploration
Authors: Kevin R. Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel Burkhardt, William Chen, Antonia van den Elzen, Matthew J Hirn, Ronald R Coifman, Natalia B Ivanova, Guy Wolf, Smita Krishnaswamy
#MathOnco News
How Close Are We, Really, to Curing Cancer with CRISPR?
Christopher Wanjek: "In short, CRISPR can snip too much, and depending on what's snipped, this inaccuracy could spell trouble, the researchers wrote. Scientists using CRISPR might inadvertently cut out a cancer-suppression gene, for example. But doctors worldwide are using both traditional immunotherapy and new CRISPR techniques to increase the number of cancer types that they can treat reliably, albeit all at the preliminary experimental level."
#MathOnco - Book of the month
Ecology and Evolution of Cancer
B. Ujvari, B. Roche, F. Thomas: "Cancer is now generally accepted to be an evolutionary and ecological process with complex interactions between tumor cells and their environment sharing many similarities with organismal evolution. This work engages the expertise of a multidisciplinary research team to collate and review the latest knowledge and developments in this exciting research field."
#MathOnco - Best of last month
Most clicked links of July
Cancer-causing somatic mutations: they are neither necessary nor sufficient
Eco-evolutionary causes and consequences of temporal changes in intratumoural blood flow
Mechanistic models versus machine learning, a fight worth fighting for the biological community?
Do you see something we missed? Click the submit button below to send us an idea for next week's issue.
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