#MathOnco Issue 42: neutral tumor evolution; cellular age distributions; migration and spreading; personalized therapy
This week in
Mathematical Oncology
Nov. 8, 2018 ~ Issue 42
From the editor
Happy November readers!
You may have noticed the lack of a newsletter last week... It wasn't due to a lack of exciting #MathOnco updates but rather due to the fact that I was (along with many of our readers) busy putting math oncology into practice at the #MoffittIMO workshop!
Enjoy,
-Jeffrey West
PS, scroll down to check out new mathematical oncology job listings!
#MathOnco Publications
Currently available bulk sequencing data do not necessarily support a model of neutral tumor evolution
Authors: Thomas O. McDonald, Shaon Chakrabarti & Franziska Michor
Reply to ‘Currently available bulk sequencing data do not necessarily support a model of neutral tumor evolution’
Authors: Benjamin Werner, Marc J. Williams, Chris P. Barnes, Trevor A. Graham & Andrea Sottoriva
Replicative cellular age distributions in compartmentalized tissues
Authors: Marvin A. Böttcher, David Dingli, Benjamin Werner, Arne Traulsen
Robust RNA-based in situ mutation detection delineates colorectal cancer subclonal evolution
Authors: Ann-Marie Baker, Weini Huang, Xiao-Ming Mindy Wang, Marnix Jansen, ..., Ian Tomlinson & Trevor A. Graham
Stochastic and Deterministic Modeling of Cell Migration
Authors: Enrico Gavagnin, Christian A.Yates
Modeling Growth of Tumors and Their Spreading Behavior Using Mathematical Functions (book chapter)
Authors: Bertin Hoffmann, Thorsten Frenzel, Rüdiger Schmitz, Udo Schumacher, Gero Wedemann
#MathOnco Preprints
Computational modeling reveals dynamics of brain metastasis in non-small cell lung cancer and provides a tool for personalized therapy
Authors: Mariia Bilous, Cindy Serdjebi, Arnaud Boyer, Pascale Tomasini, Claudia Pouypoudat, Dominique Barbolosi, Fabrice Barlési, François Chomy, Sébastien Benzekry
Quantifying local malignant adaptation in tissue-specific evolutionary trajectories by harnessing cancer's repeatability at the genetic level
Authors: Natsuki Tokutomi, Caroline Moyret-Lalle, Alain Puisieux, Sumio Sugano, Pierre Martinez
Spatial Evolutionary Games with small selection coefficients
Authors: Rick Durrett
#MathOnco News
The wei wu wei of evolutionary oncology
Artem Kaznatcheev: “The hope is that by working in accordance with nature — with the way set by evolutionary dynamics — instead of opposed to it, we can provide better treatments. But this, like much of Chinese philosophy, can be easily misinterpreted. Since the 19th century or so, the West declared itself modern and painted the East as its dual. It saw Chinese thought as ‘traditional’. Often this caricature was used in the negative. But when this caricature was positive, it romanticized the Way as an ideal; a natural perfection that existed before the modern. It suggested that we need to return to harmony with this past Way. But this passive and backwards looking caricature misses much of the point.”
#MathOnco - Book of the month
I Contain Multitudes
Yong: "In I Contain Multitudes, Yong synthesizes literally hundreds and hundreds of papers, but he never overwhelms you with the science. He just keeps imparting one surprising, fascinating insight after the next. I Contain Multitudes is science journalism at its best.”
-Bill Gates
Most clicked links of October
Ten simple rules for developing good reading habits during graduate school and beyond
From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
Evolution of Metastases in Space and Time under Immune Selection
Nonidentifiability in Model Calibration and Implications for Medical Decision Making
Jobs
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