#MathOnco Issue 102: tumor-immune dynamics, branching processes, ecological scaffolding, clonal dynamics, epithelial-mesenchymal heterogeneity
This week in
Math Oncology
Feb. 13, 2020 ~ Issue 102
From the editor
Hello!
One thing that I appreciate about scientists is the insistent drive to quantify everything. So I was not surprised to come across a tweet of a publication quantifying the impediment each additional equation places on communicating with biologists. Apparently, it sparked several follow up letters debating the topic as well. Do you agree?
Scroll down for articles on tumor-immune dynamics, age-related cancer incidence, branching processes, ecological scaffolding, tracking clonal dynamics, epithelial-mesenchymal heterogeneity and more.
-Jeffrey West
#MathOnco Publications
Cancer as a disease of old age: changing mutational and microenvironmental landscapes
Authors: Ezio Laconi, Fabio Marongiu & James DeGregori
Predicting colorectal cancer risk from adenoma detection via a two-type branching process model
Authors: Brian M. Lang, Jack Kuipers, Benjamin Misselwitz, Niko Beerenwinkel
A statistical approach for tracking clonal dynamics in cancer using longitudinal next-generation sequencing data
Authors: Dimitrios V. Vavoulis, Anthony Cutts, Jenny C. Taylor, Anna Schuh
A mechanism for epithelial-mesenchymal heterogeneity in a population of cancer cells
Authors: Shubham Tripathi, Priyanka Chakraborty, Herbert Levine, Mohit Kumar Jolly
Ecological scaffolding and the evolution of individuality
Authors: Andrew J. Black, Pierrick Bourrat & Paul B. Rainey
Dynamics of tumor growth: chemotherapy and integrative oncology
Authors: Tatiana R. Souza, Paulo F. A. Mancera, Rodney C. Bassanezi
#MathOnco Preprints
Harnessing tumor immune ecosystem dynamics to personalize radiotherapy
Authors: George Daniel Grass, Juan Carlos Lopez Alfonso, Eric A Welsh, Kamran Ahmed, ..., James Mule, Steven Eschrich, Heiko Enderling, Javier Torres Roca
Understanding evolutionary and ecological dynamics using a continuum limit
Authors: Peter Czuppon, Arne Traulsen
Optimal timing for cancer screening and adaptive surveillance using mathematical modeling
Authors: Kit Curtius, Anup Dewanji, William D. Hazelton, Joel H. Rubenstein, E. Georg Luebeck
"Some the tools that I use to get stuff done"
via @dsquintana: A Twitter thread detailing some of the useful tools for managing citations, version control of documents, collaborating remotely, project management, quick calculations, saving resources, producing figures and more.
#MathOnco - Book of the month
Antifragile: Things That Gain from Disorder
Nassim Nicholas Taleb: "Just as human bones get stronger when subjected to stress and tension, and rumors or riots intensify when someone tries to repress them, many things in life benefit from stress, disorder, volatility, and turmoil. What Taleb has identified and calls “antifragile” is that category of things that not only gain from chaos but need it in order to survive and flourish. The antifragile is beyond the resilient or robust. The resilient resists shocks and stays the same; the antifragile gets better and better. Furthermore, the antifragile is immune to prediction errors and protected from adverse events."
Most clicked links of December
Tumor diversity and the trade-off between universal cancer tasks
Opportunities for improving cancer treatment using systems biology
Inferring growth and genetic evolution of tumors from genome sequences
Jobs
Postdoctoral Fellow in Mathematical Oncology (Russell Rockne)
Postdoc: University of Birmingham - Institute of Metabolism and Systems Research
Pre-leukemic Dynamics – MSc or PhD Studentship (Morgan Craig)
Quantitative Systems Pharmacology (QSP) Modeler - Cell Therapy (Dean Bottino)
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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