This week in MathOnco 287
ctDNA, spatial heterogeneity, adaptive therapy, and public goods games
“This week in Mathematical Oncology” — March 7, 2024
> mathematical-oncology.org
From the editor:
Welcome to another edition of mathematical oncology! Today we feature models ctDNA, spatial heterogeneity, adaptive therapy, and public goods games.
If you haven’t popped over to mathematical-oncology.org/art in while, check it out. There is quite an expansive collection!
Thanks,
Jeffrey West
jeffrey.west@moffitt.org
Modeling the Effect of Spatial Structure on Solid Tumor Evolution and Circulating Tumor DNA Composition
Thomas Rachman, David Bartlett, William LaFramboise, Patrick Wagner, Russell Schwartz Oana CarjaDiverse mutant selection windows shape spatial heterogeneity in evolving populations
Eshan S. King,Dagim S. Tadele,Beck Pierce,Michael Hinczewski,Jacob G. ScottProneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastoma
Harshavardhan BV, Mohit Kumar JollySelected aspects of avascular tumor growth reproduced by a hybrid model of cell dynamics and chemical kinetics
Marco SciannaA mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin
Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov
Accumulation of Oncogenic Mutations During Progression from Healthy Tissue to Cancer
Ruibo Zhang, Ivana BozicEarly-stage cancer results in a multiplicative increase in cell-free DNA originating from healthy tissue
Konstantinos Mamis, Ivana BozicA Mathematical Framework for Comparison of Intermittent versus Continuous Adaptive Chemotherapy Dosing in Cancer
Cordelia McGehee, Yoichiro MoriPublic Goods Games in Disease Evolution and Spread
Christo Morison, Małgorzata Fic, Thomas Marcou, Javad Mohamadichamgavi, …, Mohammadreza Satouri, Frederik J. Thomsen, Kausutua Tjikundi, Wajid Ali
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 paper: Exploring chronic and transient tumor hypoxia for predicting the efficacy of hypoxia-activated pro-drugs published in npj Systems Biology and Applications.
Artist: Shreya Mathur, Shannon Chen, and Kasia Rejniak (@RejniakLab)
Caption: Several drugs have been developed, that specifically target the cells residing in areas with low level of oxygen (hypoxia). We conducted a drug scheduling study with our micro-pharmacology mathematical model to test combinations of hypoxia-activated pro-drugs (HAPs) and two compounds that transiently increase intratumoral hypoxia: a vasodilator and a metabolic sensitizer. Our model based on data from murine pancreatic cancers identified optimal schedules for the three-compound combination therapy showing that they are two-fold more effective than the HAP monotherapy. The image shows a 3D rendering of spatial distributions of oxygen, a sensitizer, an inactive pro-drug, and an activated drug within the same tumor tissue from the most effective schedule.
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