This week in MathOnco 163
Bayesian frameworks, ecological hallmarks, optimal control, agent-based modeling, and more!
“This week in Mathematical Oncology” — Newsletter
May. 20, 2021
From the editor:
Summary of contents:
Today’s issue contains a ton of exciting math oncology work. Be sure to scroll down to check out the cover artwork (designed by Stefano Pasetto & Heiko Enderling), and don’t miss the upcoming PhysiCell workshop.
Bayesian Framework to Augment Tumor Board Decision Making
Stefano Pasetto, Robert A. Gatenby, Heiko Enderling
Learning differential equation models from stochastic agent-based model simulations
John T. Nardini, Ruth E. Baker, Matthew J. Simpson, Kevin B. Flores
Cancer immunoediting: A game theoretical approach
Fatemeh Tavakolia, Javad Salimi Sartakhtib, Mohammad Hossein Manshaeia, David Basanta
Modeling historic incidence trends implies early field cancerization in esophageal squamous cell carcinoma
Georg E. Luebeck, Thomas L. Vaughan, Kit Curtius, William D. Hazelton
Applying symmetries of elasticities in matrix population models
Stefano Giaimo, Arne Traulsen
The Hallmarks of Cancer as Ecologically Driven Phenotypes
Jason A. Somarelli
Ten steps to investigate a cellular system with mathematical modeling
Jasia King, Kerbaï Saïd Eroumé, Roman Truckenmüller, Stefan Giselbrecht, Ann E. Cowan, Leslie Loew, Aurélie Carlier
Implementation and acceleration of optimal control for systems biology
Jesse A Sharp, Kevin Burrage, Matthew J Simpson
Mathematical modeling quantifies ERK-activity in response to inhibition of the BRAFV600E-MEK-ERK cascade
Sara Hamis, Yury Kapelyukh, Aileen McLaren, Colin J. Henderson, C. Roland Wolf, Mark A.J. Chaplain
1. 2021 PhysiCell Workshop and Hackathon
Paul Macklin is organizing a virtual workshop and hackathon July 25-31 on multiscale cancer modeling using PhysiCell—an open source agent-based modeling platform. Participants will learn to build agent-based models of cancer in diffusion-driven microenvironments, integrate intracellular signaling models, share models as cloud-hosted web apps, and compete in a hackathon. Tutorial sessions are open to the public and streamed, while the afternoon hackathon is reserved for up to 30 participants, who will receive a $1500 honorarium (and PhysiCell swag!) For fullest consideration, apply by May 31, 2021 at http://PhysiCell.org/ws2021. Follow @PhysiCell (Twitter) and @get.PhysiCell (Instagram) for details.
2. Can we use ecological principles to understand — and perhaps treat — cancer?
Written by: Gunnar De Winter
"The author begins by noting that cancer cells are a distinct population of cells that find themselves within an ecosystem of other cells/tissue (our bodies). Within that ecosystem, cancer cells try to do what most organisms try: survive and reproduce. To achieve this, cancer cells have to interact with their environment as well as evolve possible ways to face challenges such as the immune system. A successful cancer does this by responding swiftly to selective pressures. Tumor cells evolve to forage (seek out nutrients or reroute nutrient supplies), avoid predation (by the immune system), migrate (find new, possible better places to take root), and reproduce. Sounds a lot like a population of animals, doesn’t it?"
The newsletter now has a dedicated homepage (thisweekmathonco.substack.com), which allows us to post cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group. Today’s submission is below:
Caption: “Mathematical modeling of an oncological treatment starts with defining a precise reference frame where locating the considered patients’ biomarker values (left part of the figure). By considering patient anamnesis and present condition, the role of the model is then to forecast the treatment evolution in that framework to help identify the optimal treatment (right part of the figure).”
Created by Stefano Pasetto & Heiko Enderling, submitted in conjunction with their recent publication, found here.
Networks in Cancer: From Symmetry Breaking to Targeted Therapy
Guest Editor: Cristian Axenie, Roman Bauer, María Rodríguez Martínez
Understanding the Evolutionary Dynamics and Ecology of Cancer in Treatment Resistance
Guest Editor: David Basanta
From Ecology to Cancer Biology and Back Again
Guest Editors: Fred Adler, Sarah Amend, Chris Whelan
Frontiers in quantitative cancer modeling
Guest Editors: Mohit Kumar Jolly, Heiko Enderling
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