This week in MathOnco 253

Multi-scale modeling, fractional differential equations, predictive modeling, heterogeneity, nutrient availability

“This week in Mathematical Oncology” — May 11, 2023

> mathematical-oncology.org

From the editor:

Today we feature articles on multi-scale modeling, fractional differential equations, predictive modeling, heterogeneity, nutrient availability, and more.

Enjoy!

Jeffrey West
jeffrey.west@moffitt.org

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1. Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progression: A Unified Mathematical Model
   Yuanling Niu, Hao Kang, Pingyang Wang, Chenchen Guo, Fan Nie, Hongbin Ji, Jiarui Wu, Luonan Chen

2. Multiscale Modeling of Spheroid Tumors: Effect of Nutrient Availability on Tumor Evolution
   Jakob Rosenbauer, Marco Berghoff, James A. Glazier, and Alexander Schug

3. Integrated circulating tumour DNA and cytokine analysis for therapy monitoring of ALK-rearranged lung adenocarcinoma
   Arlou Kristina Angeles, Florian Janke, Ann-Kathrin Daum, Martin Reck, Marc A. Schneider, Michael Thomas, Petros Christopoulos & Holger Sültmann

4. Modelling Radiation Cancer Treatment with a Death-Rate Term in Ordinary and Fractional Differential Equations
   Nicole Wilson, Corina S. Drapaca, Heiko Enderling, Jimmy J. Caudell & Kathleen P. Wilkie

5. Editorial: Cancer evolution
   Luca Ermini, Diego Mallo, Dimitrios Kleftogiannis, Ahmet Acar

6. Impact of crowding on the diversity of expanding populations
   Carl F. Schreck, Diana Fusco, Yuya Karita, Stephen Martis, Jona Kayser, Marie-Cécilia Duvernoy, and Oskar Hallatschek

7. Mapping the use of computational modelling and simulation in clinics: A survey
   Raphaëlle Lesage, Michiel Van Oudheusden, Silvia Schievano, Ine Van Hoyweghen, Liesbet Geris and Claudio Capelli

8. Predicting anti-cancer drug combination responses with a temporal cell state network model
   Deepraj Sarmah,Wesley O. Meredith,Ian K. Weber,Madison R. Price,Marc R. Birtwistle

9. Impact of crowding on the diversity of expanding populations
   Carl F. Schreck, Diana Fusco, Yuya Karita, Stephen Martis, Jona Kayser, Marie-Cécilia Duvernoy, Oskar Hallatschek

10. The prognostic value of androgen to PSA ratio in predictive modeling of prostate cancer
    Tin Phan, Allison Weber, Alan H. Bryce, Yang Kuang

11. Multiscale Modeling of Spheroid Tumors: Effect of Nutrient Availability on Tumor Evolution
    Jakob Rosenbauer, Marco Berghoff, James A. Glazier, Alexander Schug

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: Myeloid-Derived Suppressor–Cell Dynamics Control Outcomes in the Metastatic Niche, in Cancer Immunology Research.

Artist: Picture created by Jesse Kreger (@jessemkreger) and Adam MacLean (@adamlmaclean) using the Julia Programming Language and BioRender (BioRender.com).

Caption: “Myeloid-derived suppressor cells (MDSCs) might be the ultimate sidekick to cancer cells in the tumor environment. When tumors grow, and crucially when they metastasize, they recruit immunosuppressive MDSCs that shield the tumor immune attack. We developed a stochastic delay differential equation model of the tumor-immune-MDSC dynamics occurring at a site of new metastasis. The image shows samples from posterior distributions when we fit the model to in vivo tumor data via Bayesian parameter inference. The samples are colored by tumor outcome: red/yellow for growth (bottom) and green/blue for decline (top). Our results offer a path towards better outcomes in which immunosuppression can be reduced, and metastatic tumors can be targeted and shrunk. Check out the paper here.”

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