This week in MathOnco 235

“This week in Mathematical Oncology” — Dec. 1, 2022

> mathematical-oncology.org

From the editor:

Hope you had a great week off (Happy Thanksgiving!) — and now, back to your regularly scheduled newsletter.

Today we feature articles on evolutionary theory in cancer, fixation probability, stochastic dynamics, and a paper of our own on agent-based models.

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

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“....genes are like the keys on a piano: although they are essential, it is the context that makes the music.”
— C. Nelson, M. Bissell

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1. Agent-based methods facilitate integrative science in cancer
   Jeffrey West, Mark Robertson-Tessi, Alexander R. A. Anderson

2. A hybrid spatiotemporal model of PCa dynamics and insights into optimal therapeutic strategies
   Andrew Burbanks, Marianna Cerasuolo, Roberto Ronca, Leo Turner

3. The need for evolutionary theory in cancer research
   Amy M. Boddy

4. More can be better: An analysis of single-mutant fixation probability functions under 2 × 2 games
   Diogo L. Pires, Mark Broom

5. Model selection for assessing the effects of doxorubicin on triple-negative breast cancer cell lines
   Anna Claudia M. Resende, Ernesto A. B. F. Lima, Regina C. Almeida, Matthew T. McKenna & Thomas E. Yankeelov

6. Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug–drug interaction prediction
   Jaidip Gill, Marie Moullet, Anton Martinsson, Filip Miljković, Beth Williamson, Rosalinda H. Arends, Venkatesh Pilla Reddy

7. Agent-Based Models Help Interpret Patterns of Clinical Drug Resistance by Contextualizing Competition Between Distinct Drug Failure Modes
   Scott M. Leighow, Ben Landry, Michael J. Lee, Shelly R. Peyton & Justin R. Pritchard

1. The bone ecosystem facilitates multiple myeloma relapse and the evolution of heterogeneous proteasome inhibitor resistant disease
   Anna K. Miller, Ryan T. Bishop, Tao Li, Kenneth H. Shain, Niveditha Nerlakanti, Conor C. Lynch, David Basanta

2. Solving the stochastic dynamics of population growth
   Loïc Marrec, Claudia Bank, Thibault Bertrand

3. Branched germline cysts and female-specific cyst fragmentation facilitate oocyte determination in mice
   Kanako Ikami, Suzanne Shoffner, Malgorzata Gosia Tyczynska Weh, Santiago Schnell, …, Shosei Yoshida, Edgar Diaz Miranda, Sooah Ko, Lei Lei

4. PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects
   Inês G. Gonçalves, David A. Hormuth II, Sandhya Prabhakaran, Caleb M. Phillips

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 genomics maps the structure, nature and evolution of cancer clones” in Nature

Artist: Artem Lomakin (@LomakinAI)

Caption: "When a tumour grows, mutation and selection create a mosaic of different clones. From sequencing studies, we know that such clones exist, but so far, we have not been able to see them. Here we present a method – a combination of fluorescent microscopy and mathematical modelling – that sheds light on the spatial evolution of cancer, charting the intertwined patterns of disease progression."

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

• Theoretical Methodology Symposium: Modelling Resistance Evolution - April 26th-28th, 2023. Application deadline: February 3rd, 2023.

3. Special issues

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