This week in MathOnco 223

Cancer metastasis, phenotypic heterogeneity, polyaneuploid cancer cells, and agent-based modeling

“This week in Mathematical Oncology” — Aug. 18, 2022

> mathematical-oncology.org

From the editor:

Today we feature articles on cancer metastasis, phenotypic heterogeneity, polyaneuploid cancer cells, and agent-based modeling.

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

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"Cancer doesn't invent anything. All the key features have a normal equivalent that is either manifested out of context or starts normally but doesn't end."
- Irina Kareva1

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1. Phenotypic heterogeneity driven by plasticity of the intermediate EMT state governs disease progression and metastasis in breast cancer
   Meredith S. Brown, Behnaz Abdollahi, Owen M. Wilkins, Hanxu Lu, …, Mohit Kumar Jolly, Brock C. Christensen, Saeed Hassanpour, Diwakar R. Pattabiraman

2. Optimal control of two cytotoxic drug maximum tolerated dose steers and exploits cancer adaptive resistance in a cell-based framework
   Matteo Italia, Fabio Dercole

3. Understanding Metabolic Alterations in Cancer Cachexia through the Lens of Exercise Physiology
   Irina Kareva

4. Modeling metastatic tumor evolution, numerical resolution and growth prediction
   I. M. Bulai, M. C. De Bonis, C. Laurita, V. Sagaria

5. Mathematical Modeling and Analysis of Tumor Chemotherapy
   Ge Song, Guizhen Liang, Tianhai Tian, Xinan Zhang

6. Untangling the web of intratumour heterogeneity
   Zheqi Li, Marco Seehawer, Kornelia Polyak

7. A life history model of the ecological and evolutionary dynamics of polyaneuploid cancer cells
   Anuraag Bukkuri, Kenneth J. Pienta, Robert H. Austin, Emma U. Hammarlund, Sarah R. Amend, Joel S. Brown

8. Spatially resolved clonal copy number alterations in benign and malignant tissue
   Andrew Erickson, Mengxiao He, Emelie Berglund, Maja Marklund, …, Thomas Helleday, Ian G. Mills, Alastair D. Lamb, Joakim Lundeberg

9. Designing phase I oncology dose escalation using dose–exposure–toxicity models as a complementary approach to model-based dose–toxicity models
   Kristyn Pantoja, Shankar Lanke, Alain Munafo, Anja Victor, Christina Habermehl, Armin Schueler, Karthik Venkatakrishnan, Pascal Girard, Kosalaram Goteti

10. Spatial intra-tumor heterogeneity is associated with survival of lung adenocarcinoma patients
    Hua-Jun Wu, Daniel Temko, Zoltan Maliga, Andre L. Moreira, …, Erin H. Seeley, Nicholas Navin, Robert J. Downey, Franziska Michor

1. The sum and the parts: dynamics of multiple and individual metastases during adaptive therapy
   Jill A. Gallaher, Maximilian Strobl, Jeffrey West, Jingsong Zhang, Robert A. Gatenby, Mark Robertson-Tessi, Alexander R. A. Anderson

1. How researchers created complex tiling patterns with bioengineered bacteria
   Nature Video
   Sara Reardon: “How researchers created complex tiling patterns with bioengineered bacteria”

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.

Caption: “The sum and the parts. This image shows how multiple distinct metastases respond to an adaptive therapy regimen. In our off-lattice, multi-domain, agent-based model, we grow and treat different sets of tumors with variation in the total burden, number of metastases, proliferation rates, drug resistance, cell turnover, heterogeneity, and seeding. We show how a single cycle of adaptive therapy can be used as a tool to infer different traits from tumor dynamics. Read our preprint here.”

Created by: Jill Gallaher

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

• Research Fellow in Computational Cancer Biology (Cancer Institute at University College London (UCL), UK) – Deadline 29th August 2022

2. Conferences / Meetings

3. Special issues

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1. See this tweet.