This week in MathOnco 324
CAR-T, circulating tumor DNA, EMT transitions, ecological and evolutionary models
“This week in Mathematical Oncology” — Mar 13, 2025
> mathematical-oncology.org
From the editor:
Hi all, this week’s math oncology collection focuses on topics like CAR-T, circulating tumor DNA, EMT transitions, and various other ecological and evolutionary models!
Enjoy,
Jeffrey West
jeffrey.west@moffitt.org
Early Circulating Tumor DNA Kinetics as a Dynamic Biomarker of Cancer Treatment Response
Aaron Li, Emil Lou, Kevin Leder, Jasmine FooDual CAR-T cell therapy for glioblastoma: strategies to cure tumour diseases based on a mathematical model
Marek Bodnar, Monika J. Piotrowska, Mariusz Bodzioch, Juan Belmonte-Beitia & Urszula ForyśExploring neuroblastoma’s cellular microenvironment: A novel approach using cellular automata to model Celyvir treatment
José García Otero, Juan Belmonte-Beitia, Juan Jiménez-SánchezIn silico oncology: a mechanistic multiscale model of clinical prostate cancer response to external radiation therapy as the core of a digital (virtual) twin. Sensitivity analysis and a clinical adaptation approach
Georgios Stamatakos, Eleni Kolokotroni, Foteini Panagiotidou, Stamatia Tsampa, …, Anca-Ligia Grosu, Dimos Baltas,Constantinos Zamboglou, Ilias SachpazidisAn integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition
Jules Guilberteau, Paras Jain, Mohit Kumar Jolly, Camille Pouchol & Nastassia Pouradier DuteilDefeating lethal cancer: Interrupting the ecologic and evolutionary basis of death from malignancy
Kenneth J. Pienta, Patrick L. Goodin, Sarah R. Amend
Learning Surrogate Equations for the Analysis of an Agent-Based Cancer Model
Kevin Burrage, Pamela Burrage, Justin N. Kreikemeyer, Adelinde M. Uhrmacher, Hasitha N. WeerasingheControllability in a class of cancer therapy models with co-evolving resistance
Frederik J. Thomsen, Johan L. A. Dubbeldam
Judith Cerit
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 preprint: MuSpAn: A Toolbox for Multiscale Spatial Analysis
Artist: Josh Bull
Caption: MuSpAn (Multiscale Spatial Analysis) is a Python package designed to make a wide range of mathematical methods for spatial data analysis readily available within a single framework. It provides easy to use, flexible, and interactive access to methods from fields as diverse as spatial statistics, networks, topological data analysis, probability, geometry, and ecology. Designed with Spatial Biology in mind, MuSpAn allows users to import spatial data from a wide range of sources and easily construct custom pipelines to address specific biological problems or conduct unbiased spatial exploration of their data.
This image, created entirely within MuSpAn, shows different visualisations of some randomly generated data across different halves of the image. Randomly chosen points are coloured on the left hand side by their distance from the centre of the image, while on the right hand side they have been converted into a Delaunay network whose edges are coloured according to their length. Points in the middle are randomly assigned to one visualisation or the other to create a transition region, with the negative space in the centre leaving room for our mu logo! The tutorial for generating this artwork using MuSpAn can be found here.
More information: www.muspan.co.uk
Visit the mathematical oncology page to view jobs, meetings, and special issues. We will post new additions here, but the full list can found at mathematical-oncology.org.
1. Jobs
Current subscriber count: 2,222