This week in Mathematical Oncology

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This week in MathOnco 257

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This week in MathOnco 257

Deterministic evolution, transcriptional hallmarks, growth-inhibition, reaction-diffusion, and more.

Jeffrey West
,
Maximilian Strobl
,
Ryan Schenck
, and
Sandy Anderson
Jun 8, 2023
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This week in MathOnco 257

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“This week in Mathematical Oncology” — June 8, 2023
> mathematical-oncology.org
From the editor:

Today we feature articles on deterministic evolution, transcriptional hallmarks, growth-inhibition, reaction-diffusion, and more.

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org


  1. Deterministic evolution and stringent selection during preneoplasia
    Kasper Karlsson, Moritz J. Przybilla, Eran Kotler, Aziz Khan, …, Carlos J. Suarez, Chris P. Barnes, Calvin J. Kuo & Christina Curtis

  2. Hallmarks of transcriptional intratumour heterogeneity across a thousand tumours
    Avishai Gavish, Michael Tyler, Alissa C. Greenwald, Rouven Hoefflin, …, Amit Tirosh, Mario L. Suvà, Sidharth V. Puram & Itay Tirosh

  3. Early Decision Making in a Randomized Phase II Trial of Atezolizumab in Biliary Tract Cancer Using a Tumor Growth Inhibition-Survival Modeling Framework
    Colby S. Shemesh, Phyllis Chan, Mathilde Marchand, Antonio Gonçalves, Shweta Vadhavkar, Benjamin Wu, Chunze Li, Jin Y. Jin, Stephen P. Hack, Rene Bruno

  4. Approximating the Value of Zero-Sum Differential Games with Linear Payoffs and Dynamics
    Jeroen Kuipers, Gijs Schoenmakers & Kateřina Staňková

  5. Modeling Tumour Growth with a Modulated Game of Life Cellular Automaton Under Global Coupling
    Vladimir García-Morales, José A. Manzanares & Javier Cervera

  1. The reaction-diffusion basis of animated patterns in eukaryotic flagella
    James Cass, Hermes Bloomfield-Gadêlha

  2. A Comparison of Mutation and Amplification-Driven Resistance Mechanisms and Their Impacts on Tumor Recurrence
    Aaron Li, Danika Kibby, Jasmine Foo

  3. An Agent-Based Model of Monocyte Differentiation into Tumour-Associated Macrophages in Chronic Lymphocytic Leukemia
    Nina Verstraete, Malvina Marku, Marcin Domagala, Hélène Arduin, Julie Bordenave, Jean-Jacques Fournié, Loïc Ysebaert, Mary Poupot, Vera Pancaldi

  4. Non-genetic differences underlie variability in proliferation among esophageal epithelial clones
    Raul A Reyes Hueros, Rodrigo A Gier, Sydney M Shaffer

  1. Point of View: Beware ‘persuasive communication devices’ when writing and reading scientific articles
    eLife: Olivier Corneille Is a corresponding author, Jo Havemann, Emma L Henderson, Hans IJzerman, Ian Hussey, Jean-Jacques Orban de Xivry, Lee Jussim, Nicholas P Holmes, Artur Pilacinski, Brice Beffara, Harriet Carroll, Nicholas Otieno Outa, Peter Lush, Leon D Lotter

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: First passage time analysis of spatial mutation patterns reveals sub-clonal evolutionary dynamics in colorectal cancer in PLoS Computational Biology

Artist: Magnus Haughey, Ann-Marie Baker & Weini Huang

Caption: "How do geometrical patterns of tumour sub-populations relate to their underlying dynamics? In our recent study, we set out to tackle the problem of how to quantify tumour sub-clonal dynamics in single time-point human colorectal cancer (CRC) samples using only the information contained within the spatial architecture of different tumour sub-populations. By simulating random walks on the pixels of high-resolution images of human CRC, we exploited the first passage times between the wild-type and mutant KRAS, BRAF, and PIK3CA populations to quantify their observed geometry. Comparing these to similar measurements of simulated spatial tumours, generated using a spatial agent-based model, we then estimated the parameters of our model which best recapitulated the observed sub-population architectures in patient samples. Our results suggested that, despite containing almost no genetic information, it is still possible to extract some information about tumour sub-clonal dynamics by analysing the shape of cell sub-populations."

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

  • Advances in Computational Biology (NGSchool2023), Warsaw, Poland 🇵🇱, (Zuzanna Nowicka, Medical University of Lodz, Poland)

3. Special issues

  • Mathematical modeling in radiotherapy and immunotherapy; Journal: Mathematical Biosciences and Engineering (Editors: David A. Hormuth, II, Guillermo Lorenzo, Joseph D. Butner, Chengyue Wu, Mohammad U. Zahid; Deadline: March 31 2024)


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A guest post by
Ryan Schenck
Working as a computational biologist at the intersection of bioinformatics and mechanistic modeling.
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