#MathOnco Issue 59: spatial models of tumor growth and evolution, angiogenesis, systems bio, single-cell data cell fates
This week in
Mathematical Oncology
March 28, 2019 ~ Issue 59
From the editor
Hello #MathOnco friends,
This week's issue includes several spatial models of tumor growth and evolution, an angiogenesis systems bio model, and an interesting (non-cancer) single-cell data cell fate tool.
Enjoy,
-Jeffrey West
#MathOnco Publications
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
Network-based prediction of drug combinations
Authors: Feixiong Cheng, István A. Kovács & Albert-László Barabási
Characterization of cell fate probabilities in single-cell data with Palantir (see also the preprint)
Authors: Manu Setty, Vaidotas Kiseliovas, Jacob Levine, Adam Gayoso, Linas Mazutis & Dana Pe’er
#MathOnco Preprints
Spatial structure governs the mode of tumour evolution
Authors: Robert Noble, Dominik Burri, Jakob Nikolas Kather, Niko Beerenwinkel
A stochastic spatial model for heterogeneity in cancer growth
Authors: Alexandre Sarmento Queiroga, Mauro César Cafundó Morais, Tharcisio Citrangulo Tortelli Jr, Roger Chammas, Alexandre Ferreira Ramos
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data
Authors: Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna
Exploring the extracellular regulation of the tumor angiogenic interaction network using a systems biology model
Authors: Ding Li, Stacey D. Finley
Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect
Authors: Kaitlyn E. Johnson, Grant Howard, William Mo, Michael K. Strasser, Ernesto A.B.F. Lima, Sui Huang, Amy Brock
Modeling non-genetic dynamics of cancer cell states measured by single-cell analysis: Uncovering bifurcations that explain why treatment either kills a cancer cell or makes it resistant
Authors: S. Huang
#MathOnco News
A Clever New Strategy for Treating Cancer, Thanks to Darwin
Roxanne Khamsi: "When Robert Gatenby heard this history of the diamondback moth in 2008, he immediately latched onto it. Gatenby is not a farmer nor an agronomist nor a fan of cruciferous vegetables—in fact, he deeply loathes brussels sprouts. He is a radiologist by training and heads the radiology department at the H. Lee Moffitt Cancer Center in Tampa, Florida. But unlike your typical doctor, he is also obsessed with the evolutionary principles put forth more than 150 years ago by Charles Darwin."
#MathOnco - Book of the month
Adaptive Oncogenesis:
A New Understanding of How Cancer Evolves Inside Us
James DeGregori: This book, "corrects the fundamental attribution error that has focused cancer research on malignant cells and their genes. Adaptive oncogenesis, or ‘EcoOncogenesis,’ shows that the ecosystems surrounding cells are equally important, responsible for creating selection forces that speed or slow the evolution of cancer. "
Most clicked links of February
A Review of Cell-Based Computational Modeling in Cancer Biology
Nonlinear adaptive control of competitive release and chemotherapeutic resistance
New combinational therapies for cancer using modern statistical mechanics
Jobs
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