This week in MathOnco 330

CAR-T, evo/metastasis, EMT, cell plasticity, and more...

“This week in Mathematical Oncology” — May 8, 2025

> mathematical-oncology.org

From the editor:

This week’s edition contains articles on exciting topics like CAR-T, evo/metastasis, EMT, and a preprint from my group on ALL cell plasticity!

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

1. Mathematical modelling of reoviruses in cancer cell cultures
   Arwa Abdulla Baabdulla, Francisca Cristi, Maya Shmulevitz, Thomas Hillen

2. Evolutionary paths towards metastasis
   Kamila Naxerova

3. Mathematical modeling unveils the timeline of CAR-T cell therapy and macrophage-mediated cytokine release syndrome.
   Santurio DS, Barros LRC, Glauche I, Fassoni AC.

4. MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens.
   Wu C, Lima EABF, Stowers CE, Xu Z, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE.

5. Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
   Samuel Oliver, Michael Williams, Mohit Kumar Jolly, Deyarina Gonzalez & Gibin Powathil

1. Cell state transitions drive the evolution of disease progression in B-lymphoblastic leukemia
   Curtis Gravenmier, Sadegh Marzban, Yi-Han Tang, Nancy Gillis, Bijal D. Shah, Lynn Moscinski, Ling Zhang, Jeffrey West

2. Inverse Game Theory Characterizes Frequency-Dependent Selection Driven by Karyotypic Diversity in Triple Negative Breast Cancer.
   Veith T, Beck R, Andor N.

3. Impacts of competition and phenotypic plasticity on the viability of adaptive therapy.
   Vibishan B, Jain P, Sharma V, Hari K, Kadelka C, George JT, Jolly MK.

4. Reducing phenotype-structured PDE models of cancer evolution to systems of ODEs: a generalised moment dynamics approach
   Chiara Villa, Philip K Maini, Alexander P Browning, Adrianne L Jenner, Sara Hamis, Tyler Cassidy

1. 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: Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer published in npj systems biology and applications.

Artist: Chenghang Li, Yongchang Wei, JInzhi Lei

Caption: •The cancer-immunity cycle is a classical theoretical framework delineating the dynamic process of antitumor immune responses, comprising seven pivotal steps: (1) tumor antigen release, (2) antigen presentation, (3) T cell activation, (4) T cell trafficking, (5) tumor infiltration, (6) antigen-specific recognition, and (7) tumor cell killing. The sustained operation of this cycle relies on positive regulation at each step, whereas tumors can disrupt it through immunosuppressive microenvironments, ultimately leading to immune escape. In this study, we developed a Quantitative Cancer-Immunity Cycle (QCIC) model to mechanistically characterize tumor-immune interactions. Using advanced colorectal cancer as a paradigm, this model successfully predicted synergistic effects of chemotherapy combined with antiangiogenic agents and disease progression trajectories.

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

• Lecturer in Applied Mathematics, City St George’s, University of London - Department of Mathematics

2. Conferences / Meetings

3. Special issues

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