This week in MathOnco 310

Spatial models, tumor growth calibration, cancer stem cells, tumor-immune dynamics, and more.

“This week in Mathematical Oncology” — Oct. 17, 2024

> mathematical-oncology.org

From the editor:

Today’s issue contains articles on spatial models, tumor growth calibration, cancer stem cells, tumor-immune dynamics, and more.

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

1. Spatial interactions modulate tumor growth and immune infiltration
   Sadegh Marzban, Sonal Srivastava, Sharon Kartika, Rafael Bravo, Rachel Safriel, Aidan Zarski, Alexander R. A. Anderson, Christine H. Chung, Antonio L. Amelio & Jeffrey West

2. 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

3. Calibrating tumor growth and invasion parameters with spectral spatial analysis of cancer biopsy tissues
   Stefano Pasetto, Michael Montejo, Mohammad U. Zahid, Marilin Rosa, Robert Gatenby, Pirmin Schlicke, Roberto Diaz & Heiko Enderling

4. Probability of early infection extinction depends linearly on the virus clearance rate
   N. Juhász, F. A. Bartha, S. Marzban, R. Han and G. Röst

5. Cancer stem cell mimicry for immune evasion and therapeutic resistance
   Phei Er Saw, Qiang Liu, Ping-Pui Wong, Erwei Song

1. Inferring Drug-induced Plasticity via Drug Screen Data
   Chenyu Wu, Einar Bjarki Gunnarsson, Jasmine Foo, Kevin Leder

2. Cancer-immune coevolution dictated by antigenic mutation accumulation
   Long Wang, Christo Morison, Weini Huang

3. Paralog protein compensation preserves protein-protein interaction networks following gene loss in cancer

   Anjan Venkatesh, Niall Quinn, Swathi Ramachandra Upadhya, Barbara De Kegel, …, Kieran Wynne, Alexander von Kriegsheim, Colm J. Ryan

4. Biomathematics in Cancer Research: Looking into How Mathematical Models Are Used to Understand Tumor Growth and the Effectiveness of Different Treatment Strategies

   Akinbusola Olushola, Victoria Alao

1. Sivaloganathan
   Math Oncology Interviews by Thomas Hillen (YouTube)

2. animation is like modelling biology
   J. Scott McCain: ”I think there are some parallels between animation and modelling biology, and I wonder how these twelve basic principles for ‘good’ animation are similar to ‘good’ models.”

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: Modeling tumors as complex ecosystems published in iScience

Artist: Ricard Sole (@ricard_sole)

Caption: Why are plants and trees largely free from developing cancer? Understanding this distinct property and its evolutionary context requires theoretical models that incorporate the developmental picture, but also the ecological tumor dynamics. In our new paper we discuss how the generalized Lotka-Volterra model, a standard tool to describe species-rich ecological communities, provides a framework to develop our understanding of the ecology of heterogeneous tumors.

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