This week in MathOnco 321

Evolution, vascularization, radiation, and more…

“This week in Mathematical Oncology” — Feb 13, 2025

> mathematical-oncology.org

From the editor:

In today’s issue, I link to my interview with Thomas Hillen, covering topics like game theory, adaptive therapy, scientific collaborations, and what makes Moffitt's IMO department unique. I also give a bit of context and history into why I started the math onco newsletter. Check it out here!

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

1. Mathematical models of intercellular signaling in breast cancer
   Frederick R. Adler, Jason I. Griffiths

2. A Bayesian Joint Model of Multiple Nonlinear Longitudinal and Competing Risks Outcomes for Dynamic Prediction in Multiple Myeloma: Joint Estimation and Corrected Two-Stage Approaches
   Danilo Alvares, Jessica K. Barrett, Francois Mercier, Spyros Roumpanis, Sean Yiu, Felipe Castro, Jochen Schulze, Yajing Zhu

3. Mechanistic model of radiotherapy-induced lung fibrosis using coupled 3D agent-based and Monte Carlo simulations
   Nicolò Cogno, Roman Bauer & Marco Durante

4. Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
   Omar S. M. El Nahhas, Chiara M. L. Loeffler, Zunamys I. Carrero, Marko van Treeck, …, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho & Jakob Nikolas Kather

5. Diffusion Smart-seq3 of breast cancer spheroids to explore spatial tumor biology and test evolutionary principles of tumor heterogeneity
   Antony Cougnoux, Loay Mahmoud, Per A. Johnsson, Alper Eroglu, Louise Gsell, Jakob Rosenbauer, Rickard Sandberg & Jean Hausser

1. The temporal evolution of cancer hallmarks
   Lucie Gourmet, Daniele Ramazzoti, Parag Mallick, Simon Walker-Samuel, Luis Zapata

2. DeepSynBa: Actionable Drug Combination Prediction with Complete Dose-Response Profiles
   Halil Ibrahim Kuru, Haoting Zhang, Magnus Rattray, Carl Henrik Ek, A. Ercument Cicek, Oznur Tastan, Marta Milo

3. Disease as a mediator of somatic mutation – life history coevolution
   Michael E. Hochberg

1. A direct hit
   H. Holden Thorp

2. Jeffrey West

   Math Oncology Interviews by Thomas Hillen (YouTube)

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: AMBER: A Modular Model for Tumor Growth, Vasculature and Radiation Response published in the Bulletin of Mathematical Biology

Artist: Louis Kunz

Caption: To best plan radiotherapy treatments, monte-carlo (MC) simulations are routinely used to tailor treatments to individuals but are mostly limited to the physical behaviour of particles. The biological reponse of healthy and tumor tissue, inherently more complex, is overlooked in the treatment plans. Due to the large structural and genetic variations between tumors, a complete simulation framework would however be highly relevant. In our work we present AMBER (Agent-based fraMework for radioBiological Effects in Radiotherapy) allowing to model tumor growth and radiation responses. AMBER is based on a voxelized geometry, enabling realistic simulations at relevant pre-clinical scales by tracking temporally discrete states stepwise. Its hybrid approach, combining traditional ABM techniques with continuous spatiotemporal fields of key microenvironmental factors such as oxygen and VEGF, facilitates the generation of realistic tortuous vascular trees shown in the image above. Moreover, AMBER is integrated with TOPAS, an MC-based particle transport algorithm that simulates heterogeneous radiation doses.

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