This week in MathOnco 181
Drug interactions, MRI tumor forecasting, neutral evolution, collateral sensitivity, game theory, and immune-tumor coevolution
“This week in Mathematical Oncology” — Sept. 30, 2021
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mathematical-oncology.org
From the editor:
This week’s edition includes papers on drug interactions, MRI tumor forecasting, neutral evolution, collateral sensitivity, game theory, and immune-tumor coevolution.
Enjoy!
Jeffrey West
jeffrey.west@moffitt.org
Price equation captures the role of drug interactions and collateral effects in the evolution of multidrug resistance
Erida Gjini, Kevin B WoodQuantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting
Angela M. Jarrett, Anum S. Kazerouni, Chengyue Wu, John Virostko, …, Debra Patt, Boone Goodgame, Sarah Avery, Thomas E. YankeelovGenome and metabolome: chance and necessity
Emanuel Gonçalves & Christian FrezzaExact site frequency spectra of neutrally evolving tumors: A transition between power laws reveals a signature of cell viability
Einar Bjarki Gunnarsson, Kevin Leder, Jasmine FooAsymptotic analysis of a biphase tumor fluid flow: the weak coupling case
Cristina Vaghi, Sebastien Benzekry, Clair PoignardQuantitative prediction of breast cancer resistant protein mediated drug-drug interactions using physiologically-based pharmacokinetic modeling
Chester Costales, Jian Lin, Emi Kimoto, Shinji Yamazaki, James R. Gosset, A. David Rodrigues, Sarah Lazzaro, Mark A. West, Michael West, Manthena V. S. VarmaDesign principles of collateral sensitivity-based dosing strategies
Linda B. S. Aulin, Apostolos Liakopoulos, Piet H. van der Graaf, Daniel E. Rozen, J. G. Coen van HasseltSystems Biology at the giga-scale: large multi-scale models of complex, heterogeneous multicellular systems
Arnau Montagud, Miguel Ponce de León, Alfonso ValenciaEvolutionary Game Theory: Darwinian Dynamics and the G Function Approach
Anuraag Bukkuri, Joel S. BrownDynamic changes in epithelial cell packing during tissue morphogenesis
Sandra B.Lemke, Celeste M. Nelson
Julia for Biologists
Elisabeth Roesch, Joe G. Greener, Adam L. MacLean, Huda Nassar, Christopher Rackauckas, Timothy E. Holy, Michael P.H. StumpfDiscrete and continuum models for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes and tumour cells
Luís Almeida, Chloe Audebert, Emma Leschiera, Tommaso LorenziCancer: More Than a Geneticist’s Pandora’s Box
Kritika Saxena, Ayalur Raghu Subbalakshmi, Prakash Kulkarni, Mohit Kumar JollyTree balance indices: a comprehensive survey
Mareike Fischer, Lina Herbst, Sophie Kersting, Luise Kühn, Kristina Wicke
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Caption: The combined effects of mutational constraints, collateral effects (cross resistance or collateral sensitivity), and drug interactions shape the dynamics of multi-drug resistance. In our recent paper, we show that these processes can be integrated via a Price Equation whose terms encode statistical properties of resistance mutants, geometric features of the two-drug response surface in ancestral cells, and mutational constraints that limit the available pathways for sequential mutations. In this model, growth adaptation follows a type of weighted gradient dynamics where the underlying landscape is determined by the drug interaction, while the collateral effects and mutational pathways constrain motion on that landscape. To learn more, see our paper here.
Created by: Erida Gjini, Kevin Wood, Alexander Anderson
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