This week in MathOnco 328

Cancer hallmarks, model identifiability, public goods games, cellular competition and more…

“This week in Mathematical Oncology” — Apr 10, 2025

> mathematical-oncology.org

From the editor:

This week’s edition focuses ontopics like cancer hallmarks, model identifiability, public goods games, cellular competition and more…

Thanks all who responded last week in our request for volunteers to keep these resources up & running!

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

1. The Hallmarks of Cancer as Eco-Evolutionary Processes
   Ranjini Bhattacharya, Stanislav S. Avdieiev, Anuraag Bukkuri, Christopher J. Whelan, Robert A. Gatenby, Kenneth Y. Tsai, Joel S. Brown

2. Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation
   Khushi C. Hiremath, Kenan Atakishi, Ernesto A. B. F. Lima, Maguy Farhat, …, Jodi Goldman, Caroline Chung, Thomas E. Yankeelov, David A. Hormuth II

3. Public Goods Games in Disease Evolution and Spread
   Christo Morison, Małgorzata Fic, Thomas Marcou, Javad Mohamadichamgavi, …, Mohammadreza Satouri, Frederik J. Thomsen, Kausutua Tjikundi, Wajid Ali

4. Symbolic Regression: A Versatile Approach for Constructing Phenomenological Models of Radiobiological Effects
   Ankang Hu; Wanyi Zhou; Rui Qiu; Junli Li

5. A combined mathematical and experimental approach reveals the drivers of time-of-day drug sensitivity in human cells
   Nica Gutu, Hitoshi Ishikuma, Carolin Ector, Ulrich Keilholz, Hanspeter Herzel & Adrián E. Granada

1. Modelling the impact of phenotypic heterogeneity on cell migration: a continuum framework derived from individual-based principles
   Rebecca M. Crossley, Philip K. Maini, Ruth E. Baker

2. Intracellular competition shapes plasmid population dynamics
   Fernando Rossine, Carlos Sanchez, Daniel Eaton, Johan Paulsson, Michael Baym

3. Interstitial fluid transport dynamics predict glioblastoma invasion and progression
   Cora M. Carman-Esparza, Caleb A. Stine, Naciye Atay, Kathryn M. Kingsmore, Maosen Wang, Ryan T. Woodall, Russell C. Rockne, Jessica J. Cunningham, Jennifer M. Munson

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. This week’s artwork:

Based on the preprint: Deriving Optimal Treatment Timing for Adaptive Therapy: Matching the Model to the Tumor Dynamics published on medRxiv

Artist: Kit Gallagher

Caption: When implementing Adaptive Therapy (AT) treatment schedules clinically, patients are monitored (and treatment schedules updated) at discrete time intervals. This leads to a trade-off; more frequent clinical appointments allow greater control of the tumor at a higher average size (leading to longer time to progression, or TTP), but are more costly and logistically challenging to implement. We can derive the optimal threshold size for treatment to be used in an AT protocol, and plot this in white over different time intervals between appointments. This is superimposed over the TTP for all different treatment protocols (given by the coloured background) - super-critical protocols on one side of the optimal line leads to chaotic outcomes while sub-optimal protocols achieve a lower TTP. This pattern is tiled and inverted to create a 'chess board', with the highest TTP at the center of each tile, reflecting the optimal game that clinicians are trying to play against the cancer tumor.

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