#MathOnco Issue 103: ctDNA, colorectal cancer initiation, selection dynamics, collateral sensitivity and more.
This week in
Math Oncology
Feb. 20, 2020 ~ Issue 103
From the editor
Hello!
Welcome to another edition of 'this week in math oncology.' We have articles on ctDNA, colorectal cancer initiation, selection dynamics, collateral sensitivity, and more.
Enjoy!
-Jeffrey West
#MathOnco Publications
A mathematical model of ctDNA shedding predicts tumor detection size
Authors: Stefano Avanzini, David M Kurtz, Jacob J Chabon, Sharon Seiko Hori, Sanjiv Sam Gambhir, Ash A Alizadeh, Maximilian Diehn, Johannes G Reiter
Model-based inference and classification of immunological control mechanisms from TKI cessation and dose reduction in CML patients
Authors: Tom Hähnel, Christoph Baldow, Joëlle Guilhot, François Guilhot, ..., François-Xavier Mahon, Ingo Roeder, Artur C Fassoni, Ingmar Glauche
Modeling acquired resistance to the second-generation androgen receptor antagonist enzalutamide in the TRAMP model of prostate cancer
Authors: Marianna Cerasuolo, Federica Maccarinelli, Daniela Coltrini, Ali Mokhtar Mahmoud, ..., Dominique Melck, Marco Presta, Alessia Ligresti, Roberto Ronca
DeFinetti: A Mathematica program to analyze the replicator dynamics of 3-strategy collective interactions
Authors: Marco Archetti
A Mathematical Framework for Modelling the Metastatic Spread of Cancer
Authors: Linnea C. Franssen, Tommaso Lorenzi, Andrew E. F. Burgess & Mark A. J. Chaplain
#MathOnco Preprints
Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancer
Authors: Kaitlyn Elizabeth Johnson, Grant R Howard, Daylin Morgan, Eric Brenner, Andrea L Gardner, ..., Eduardo Sontag, Angela M Jarrett, Thomas E Yankeelov, Amy Brock
Mathematical Model of Colorectal Cancer Initiation
Authors: Chay Paterson, Hans Clevers, Ivana Bozic
Identifying states of collateral sensitivity during the evolution of therapeutic resistance in Ewings sarcoma
Authors: Jessica A Scarborough, Erin McClure, Peter Anderson, Andrew Dhawan, Arda Durmaz, Stephen L Lessnick, Masahiro Hitomi, Jacob G Scott
Mathematical Modelling Reveals Selective Dynamics Invisible to Imaging
Authors: Jack Edwards, Andriy Marusyk, David Basanta
Pan-cancer immune portraits help personalize radiotherapy
Heiko Enderling: "Current RT fractionation has not specifically focused on enhancing immune responses despite evidence that fewer, larger doses induce significantly stronger antitumor immunity. Daily RT over many weeks may even be detrimental to antitumor immunity, as CD8+ T cells are generally very radiation sensitive. Therefore, understanding the complex, non-linear cytotoxic and immunologic consequences of RT dose and fractionation is of high biological interest and clinical value. Innovative models based upon interactions of the tumor with its immune-environment could elucidate new treatments that improve tumor control and protect normal tissues."
Special issue: Computational approaches in cancer modeling "In this special issue some of the computational approaches we will cover are: molecular dynamics, agent based modelling, machine learning, cellular automata, ODE/PDE modelling as well as possibilities of integrating several of these approaches into unified framework. Overarching goals of such framework is to enable efficient exploration of potential strategies to optimize cancer treatments."
#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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