This week in MathOnco 305

Tumor-immune interactions, spatial models, precision dosing, plasticity, and more…

“This week in Mathematical Oncology” — Aug 29, 2024

> mathematical-oncology.org

From the editor:

This week’s edition contains articles on tumor-immune interactions, spatial models, precision dosing, plasticity, and more…

Also be sure to check out the new blog post from Kit Gallagher!

Thanks,

Jeffrey West
jeffrey.west@moffitt.org

1. The evolution of computational research in a data-centric world

   Dhrithi Deshpande, Karishma Chhugani, Tejasvene Ramesh, Jason H. Moore, Vsevolod Katritch, Serghei Mangul

2. Model-informed precision dosing: State of the art and future perspectives
   I.K. Minichmayr, E. Dreesen, M. Centanni, Z. Wang, Y. Hoffert, L.E. Friberg, S.G. Wicha

3. Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies
   Blanche Mongeon, Julien Hébert-Doutreloux, Anudeep Surendran, Elham Karimi, Benoit Fiset, Daniela F. Quail, Logan A. Walsh, Adrianne L. Jenner & Morgan Craig

4. Integrating mechanism-based T cell phenotypes into a model of tumor–immune cell interactions featured
   Neel Tangella, Colin G. Cess, Geena V. Ildefonso, Stacey D. Finley

5. Mathematical modeling and quantitative analysis of phenotypic plasticity during tumor evolution based on single-cell data
   Yuyang Xiao & Xiufen Zou

6. Evolutionary dependency of cancer mutations in gene pairs inferred by nonsynonymous-synonymous mutation ratios
   Dong-Jin Han, Sunmin Kim, Seo-Young Lee, Youngbeen Moon, …, Jaehoon Kim, Seungho Lee, Ruibin Xi, Tae-Min Kim

1. Mathematical Modelling of Microtube-Driven Regrowth of Glioma After Local Resection
   Alexandra Shyntar, Thomas Hillen

2. Classifying epithelial-mesenchymal transition states in single cell cancer data using large language models
   Shi Pan, Eloise Withnell, Maria Secrier

3. How Modulation of the Tumor Microenvironment Drives Cancer Immune Escape Dynamics
   Pujan Shrestha, Zahra S. Ghoreyshi, Jason T. George

4. Identifiability of heterogeneous phenotype 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

5. Neoantigen evolution and response to checkpoint inhibitor immunotherapy in colorectal cancer
   Ivana Bozic, Alanna Sholokova, Kamran Kaveh

1. Learning to Adapt - Personalizing Adaptive Therapy Schedules using Deep Reinforcement Learning
   The Mathematical Oncology Blog
   Kit Gallagher: “Prior adaptive therapy trials have relied on a 50% “rule-of-thumb” for determining treatment holidays - treatment is applied until the tumor burden decreases by 50%, at which point it is removed until the tumor returns to the initial size. However, this raises further questions: Does this threshold maximize the time to progression? Is a “one size fits all” approach even appropriate? Should the threshold be personalized for each patient, to maximize the benefits of adaptive therapy?”

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: Spatial heterogeneity in tumor adhesion qualifies collective cell invasion published in Biophysical Journal.

Artists: CVS Prasanna (@CVS_Prasanna), Sarah Groves, Mohit Kumar Jolly, Ramray Bhat

Caption: A highly intermingled starting spatial pattern of two types of cancer cells, undergoing less invasion when the adhesion between the two different cell types is high and more invasion when the adhesion between the two different cell types is low.

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

2. Conferences / Meetings

3. Special issues

---

Current subscriber count: >2k