This week in MathOnco 334
EMT, deep learning/AI, stochastic modeling, bibliometrics
“This week in Mathematical Oncology” — July 3, 2025
> mathematical-oncology.org
From the editor:
Welcome back!
Today’s edition contains topics like EMT, deep learning/AI, stochastic modeling, and a neat bibliometrics study of math biology / math oncology.
Enjoy,
Jeffrey West
jeffrey.west@moffitt.org
High-order interaction modeling of tumor-microenvironment crosstalk for tumor growth.
Che J, Wang Y, Feng L, Gragnoli C, Griffin C, Wu R.A stochastic modelling framework for cancer patient trajectories: combining tumour growth, metastasis, and survival.
Wieland V, Hasenauer J.Generative AI - Assisted Adaptive Cancer Therapy
Youcef DerbalFitness seascapes are necessary for realistic modeling of the evolutionary response to drug therapy
Eshan S. King, Anna E. Stacy, Davis T. Weaver, Jeff Maltas, Rowan Barker-Clarke, Emily Dolson, and Jacob G. ScottTransition paths across the epithelial-mesenchymal transition landscape are dictated by network logic
Anupam Dey, Adam L. MacLeanDeep learning identifies heterogeneous subpopulations in breast cancer cell lines
Tyler A. Jost, Andrea L. Gardner, Daylin Morgan & Amy BrockOn the patterns of genetic intra-tumor heterogeneity before and after treatment
Alexander Stein , Benjamin Werner
Spatiotemporal dynamics of tumor–CAR T-cell interaction following local administration in solid cancers
Katherine Owens, Aminur Rahman, Ivana BozicEpigenetic Heritability of Cell Plasticity Drives Cancer Drug Resistance through a One-to-Many Genotype-to-Phenotype Paradigm
Erica A. Oliveira, Salvatore Milite, Javier Fernandez-Mateos, George D. Cresswell, …, Trevor A. Graham, Luca Magnani, Nicola Valeri,Andrea SottorivaIdentifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
Alexander P. Browning ,Rebecca M. Crossley,Chiara Villa,Philip K. Maini,Adrianne L. Jenner, Tyler Cassidy, Sara Hamis
Chemotherapy dose scheduling via Q-learning in a Markov tumor model
M. Giles, P.K. NewtonA bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
Kira Pugh, Linnéa Gyllingberg, Stanislav Stratiev, Sara HamisCancer systems immunology reveals myeloid—T cell interactions and B cell activation mediate response to checkpoint inhibition in metastatic breast cancer
Edgar Gonzalez, Jesse Kreger, Yingtong Liu, Xiaojun Wu, …, , Roisin M. Connolly, Won Ho, Juliet Emamaullee, Adam L. MacLean, Evanthia T. Roussos Torres
Dominik Wodarz
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: Phenotype structuring in collective cell migration: a tutorial of mathematical models and methods
Artists: Kevin Painter, Chiara Villa and Tommaso Lorenzi
Caption: Recent years have seen greater appreciation for the inherent heterogeneity within cell populations, from bacteria to cancer cells. Phenotype-structured partial differential equations have become a useful tool to capture the broad spectrum of traits. Our recent paper provides a comprehensive review of this growing literature, a tutorial into the various mathematical methods, and an outlook on some critical modelling, analytical, and numerical challenges. The image riffs on a famous album sleeve: Unknown Pleasures by Joy Division. The original album displayed a stacked plot of radar emissions from a pulsar, which is replaced here with a stacked plot of simulation data from a go-or-grow phenotype-structured model: a population of invading cells, where each individual plot shows the distribution of cells, which range in phenotype from less motile and more proliferative to more motile and less proliferative.
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: 2,262