This week in MathOnco 194
Life histories, network models of plasticity, model-informed precision dosing, coordination games, Hawk-Dove control theory, and more
“This week in Mathematical Oncology” — Jan. 27, 2022
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mathematical-oncology.org
From the editor:
This week includes manuscripts on topics such as life histories, network models of plasticity, model-informed precision dosing, coordination games, Hawk-Dove control theory, and more. Enjoy!
Jeffrey West
jeffrey.west@moffitt.org
Optimal dynamic incentive scheduling for Hawk-Dove evolutionary games
K. Stuckey, R. Dua, Y. Ma, J. Parker, P. K. NewtonCoordination games in cancer
Péter Bayer, Robert A. Gatenby, Patricia H. McDonald, Derek R. Duckett, Kateřina Staňková, Joel S. BrownQuantification of T- and B-cell immune receptor distribution diversity characterizes immune cell infiltration and lymphocyte heterogeneity in clear cell renal cell carcinoma
Meghan C. Ferrall-Fairbanks, Nicholas Chakiryan, Boris I. Chobrutskiy, Youngchul Kim, …, Esther N Katende, George Blanck, Brandon J Manley, Philipp M AltrockA continued learning approach for model-informed precision dosing: Updating models in clinical practice
Corinna Maier, Jana de Wiljes, Niklas Hartung, Charlotte Kloft, Wilhelm HuisingaDifferential Survival and Therapy Benefit of Patients with Breast Cancer Are Characterized by Distinct Epithelial and Immune Cell Microenvironments
Lennart Kester, Danielle Seinstra, Annelot G.J. van Rossum, Claire Vennin, …, Hendrika M. Oosterkamp, Alexander van Oudenaarden, Sabine C. Linn, Jacco van RheenenLife histories of myeloproliferative neoplasms inferred from phylogenies
Nicholas Williams, Joe Lee, Emily Mitchell, Luiza Moore, E. Joanna Baxter, James Hewinson, Kevin J. Dawson, Andrew Menzies, Anna L. Godfrey, Anthony R. Green, Peter J. Campbell & Jyoti Nangalia
Landscape of Epithelial Mesenchymal Plasticity as an emergent property of coordinated teams in regulatory networks
Kishore Hari, Varun Ullanat, Archana Balasubramanian, Aditi Gopalan, Mohit Kumar JollyPhenotypic deconvolution in heterogeneous cancer cell populations using drug screening data
A. Köhn-Luque, E. M. Myklebust, D. S. Tadele, M. Giliberto, J. Noory, …, K. Taskén, J. M. Enserink, K. Leder, A. Frigessi, J. Foo
Viewing cancer through an evolutionary lens and why this offers a radically different approach to treatment - Robert Gatenby
The Drive Podcast (Peter Attia): “Robert (Bob) Gatenby is a radiologist who specializes in exploring theoretical and experimental models of evolutionary dynamics in cancer and cancer drug resistance. He has developed an adaptive therapy approach for treating cancer which has shown promise in improving survival times with less cumulative drug use. In this episode, Bob explains what brought him into medicine, his search for organizing principles from which to understand cancer, and the mathematical modeling of other complex systems that led him to model the dynamics of tumor cell changes in cancer.”
The newsletter now has a dedicated homepage where we post the cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group.
Caption: This image depicts a role complexity of network topology has to play in the emergent properties of biological systems. Our recent study revealed the presence of teams of nodes, defined as groups of nodes having positive “influence” on each other and negative influence on nodes not of their groups, is a common feature of complexity across multiple networks. We linked this property of the network topology to structural and dynamical robustness of the emergent phenotypes in the context of EMP. Disrupting these teams leads to reduced stability of the epithelial and mesenchymal phenotypes, increasing the incidence of hybrid phenotypes.
Created by: Atchuta Duddu & Kishore Hari
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