This week in Math Onco 165

Public goods, cell signaling, stress-strain, model calibration, clonal hematopoiesis

“This week in Mathematical Oncology” — Newsletter
June 3, 2021
From the editor:

Welcome to another edition of “This week in MathOnco,” with exciting topics such as public goods, cell signaling, stress-strain, model calibration, clonal hematopoiesis. I want to draw your attention to two things: 1) a call for Math Onco poster judges for SMB2021 (see the “In the News” section), and 2) this week’s epic cover artwork from the Altrock lab (scroll down!). Please consider submitting your own cover artwork for a future edition.


-Jeffrey West

  1. Two-dimensional adaptive dynamics of evolutionary public goods games: finite-size effects on fixation probability and branching time
    Brian Johnson, Philipp M. Altrock, Gregory J. Kimmel

  2. Commentary: The publication pandemic
    Paul Newton, Katepalli Sreenivasan

  3. Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations
    Chiara Villa, Mark A. J. Chaplain, Alf Gerisch, Tommaso Lorenzi

  4. Patient specific, imaging-informed modeling of rhenium-186 nanoliposome delivery via convection-enhanced delivery in glioblastoma multiforme
    Ryan T Woodall, David A Hormuth II, Chengyue Wu, Michael R A Abdelmalik, William T Phillips, Ande Bao, Thomas J R Hughes, Andrew J Brenner, Thomas E Yankeelov

  5. Quantitative modeling to understand cell signaling in the tumor microenvironment
    Min Song, DingLi, Sahak Z. Makaryan, Stacey D. Finley

  6. Treatment scheduling effects on the evolution of drug resistance in heterogeneous cancer cell populations
    Gauri A. Patwardhan, Michal Marczyk, Vikram B. Wali, David F. Stern, Lajos Pusztai, Christos Hatzis

  7. Biomechanical modelling of cancer: Agent-based force-based models of solid tumours within the context of the tumour microenvironment
    Cicely K. Macnamara

  1. A protocol for dynamic model calibration
    Alejandro F. Villaverde, Dilan Pathirana, Fabian Fröhlich, Jan Hasenauer, Julio R. Banga

  2. Elucidating Tumor-stromal Metabolic Crosstalk in Colorectal Cancer through Integration of Constraint-Based Models and LC-MS Metabolomics
    Junmin Wang, Alireza Delfarah, Patrick Gelbach, Emma Fong, Paul Macklin, Shannon M. Mumenthaler, Nicholas A. Graham, Stacey Finley

  3. Geospatial Cellular Distribution of Cancer-Associated Fibroblasts Significantly Impacts Clinical Outcomes in Metastatic Clear Cell Renal Cell Carcinoma
    Nicholas H. Chakiryan, Gregory J. Kimmel, Youngchul Kim, Joseph O. Johnson, …, Liang Wang, James J. Mule, Philipp M. Altrock, Brandon J. Manley

  4. Longitudinal dynamics of clonal hematopoiesis identifies gene-specific fitness effects
    Neil A. Robertson, Eric Latorre-Crespo, Maria Terradas-Terradas, Alison C. Purcell, …, Ian J. Deary, Linus J. Schumacher, Kristina Kirschner, Tamir Chandra

  1. 2021 PhysiCell Workshop and Hackathon
    Paul Macklin: for fullest consideration, apply by May 31, 2021 at Follow @PhysiCell (Twitter) and @get.PhysiCell (Instagram) for details.

  2. I Read Through 165 Pages of NIH Instructions So You Didn't Have To!
    The K99/R00 Getting Started Guide, written by Jenny Chen

  3. Math Onco Needs You!
    The Math Onco SMB subgroup is looking for volunteers to help judge posters and presentations at the upcoming SMB annual meeting. If you can help out, and are a subgroup member please add your name at the bottom of the following list.
    For any questions, please don’t hesitate to reach out to Harsh Jain or Maxi Strobl.

The newsletter now has a dedicated homepage (, which allows us to post cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group. Today’s submission was contributed by Brian Johnson and Gregory Kimmel from the Altrock lab, and is inspired by their recent work on public good games in cancer:

Caption: Our recently published work focuses on population branching behavior in evolutionary game theory. Specifically, we analyze the impact of small population size on the ability of a monomorphic population to diverge into two distinct subgroups. The image shows the qualitative essence of our results alongside potential clinical implications. When mutants arise, their ability to thrive depends on the environment as well as the population size. The effectiveness of treatment is influenced by whether the population has become polymorphic or remains homogeneous.

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