#MathOnco Issue 88: immune-mediated mets, signalling networks, tissue evolution, multi-drug resistance, and genetic algorithms.
This week in
Math Oncology
Oct. 24, 2019 ~ Issue 88
From the editor
Hello!
Today's topics include immune-mediated mets, signalling networks, tissue evolution, multi-drug resistance, genetic algorithms, and more. I'll also draw your attention to a Twitter thread listing upcoming conferences in quantitative modeling (thanks, Jochen Kursawe! This will be helpful to many of our readers...).
Please enjoy!
-Jeffrey West
#MathOnco Publications
Evolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments
Authors: Aleksandra Ardaševa, Robert A. Gatenby, Alexander R. A. Anderson, Helen M. Byrne, Philip K. Maini, Tommaso Lorenzi
A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures
Authors: Maria Kondratova, Urszula Czerwinska, Nicolas Sompairac, Sebastian D. Amigorena, Vassili Soumelis, Emmanuel Barillot, Andrei Zinovyev & Inna Kuperstein
#MathOnco Preprints
Implications of Immune-Mediated Metastatic Growth on Metastatic Dormancy, Blow-Up, Early Detection, and Treatment
Authors: Adam R Rhodes, Thomas Hillen
Tissue evolution: Mechanical interplay of adhesion, pressure, and heterogeneity
Authors: Tobias Büscher, Nirmalendu Ganai, Gerhard Gompper, Jens Elgeti
Challenging conventional wisdom on the evolution of resistance to multi-drug HIV treatment: Lessons from data and modeling
[Explainer Video: here]
Authors: Alison Feder, Kristin Harper, Pleuni S. Pennings
Genetic Algorithms for model refinement and rule discovery in a high-dimensional agent-based model of inflammation
Authors: Chase Cockrell, Gary An
Physical constraints on epistasis
Authors: Kabir Husain, Arvind Murugan
These secret battles between your body’s cells might just save your life
Kendall Powell: "To fight cancer and ageing, biologists are looking at how cells evict, kill or cannibalize less-fit rivals. [...] Known as cell competition, it works a bit like natural selection between species, in that fitter cells win out over their less-fit neighbours. The phenomenon can act as quality control during an organism’s development, as a defence against precancerous cells and as a key part of maintaining organs such as the skin, intestine and heart. Cells use a variety of ways to eliminate their rivals, from kicking them out of a tissue to inducing cell suicide or even engulfing them and cannibalizing their components. The observations reveal that the development and maintenance of tissues are much more chaotic processes than previously thought."
#MathOnco - Book of the month
The Maths of Life and Death
Kit Yates: "In this eye-opening and extraordinary book, Yates explores the true stories of life-changing events in which the application - or misapplication - of mathematics has played a critical role: patients crippled by faulty genes and entrepreneurs bankrupted by faulty algorithms; innocent victims of miscarriages of justice and the unwitting victims of software glitches. We follow stories of investors who have lost fortunes and parents who have lost children, all because of mathematical misunderstandings."
Most clicked links of September
Systems biology approaches to measure and model phenotypic heterogeneity in cancer
Modeling genetic heterogeneity of drug response and resistance in cancer
A Monte Carlo method to estimate cell population heterogeneity
Jobs
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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