This week in Mathematical Oncology

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This week in MathOnco 198
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This week in MathOnco 198

Differential fitness advantages, cell motility, spatiotemporal dynamics, clinical drug synergy, intrinsic/acquired resistance, and more

Jeffrey West
,
Maximilian Strobl
, and
Sandy Anderson
Feb 24
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“This week in Mathematical Oncology” — Feb. 24, 2022
> mathematical-oncology.org
From the editor:

This week’s edition focuses on the topics of differential fitness advantages, cell motility, spatiotemporal dynamics, clinical drug synergy, intrinsic/acquired resistance, and more. Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

  1. Integration of multiple lineage measurements from the same cell reconstructs parallel tumor evolution
    Lennart Kester, Buys de Barbanson, Anna Lyubimova, Li-Ting Chen, …, Josi Peterson-Maduro, Jarno Drost, Jeroende Ridder, Alexander van Oudenaarden

  2. Computational modelling of cell motility modes emerging from cell-matrix adhesion dynamics
    Leonie van Steijn, Inge M. N. Wortel, Clément Sire, Loïc Dupré, Guy Theraulaz, Roeland M. H. Merks

  3. Spatiotemporal dynamics of clonal selection and diversification in normal endometrial epithelium
    Manako Yamaguchi, Hirofumi Nakaoka, Kazuaki Suda, Kosuke Yoshihara, …, Kazuki Tainaka, Roel G. W. Verhaak, Ituro Inoue, Takayuki Enomoto

  4. Spatial-temporal dynamics of a microbial cooperative behavior resistant to cheating
    Hilary Monaco, Kevin S. Liu, Tiago Sereno, Maxime Deforet, Bradford P. Taylor, Yanyan Chen, Caleb C. Reagor & Joao B. Xavier

  5. Predictable Clinical Benefits without Evidence of Synergy in Trials of Combination Therapies with Immune-Checkpoint Inhibitors
    Adam C. Palmer, Benjamin Izar, Haeun Hwangbo, Peter K. Sorger

  1. Controlling microbial co-culture based on substrate pulsing can lead to stability through differential fitness advantages
    Juan Andres Martinez, Matheo Delvenne, Lucas Henrion, Fabian Moreno, Samuel Telek, Christian Dusny, Frank Delvigne

  2. Using Mathematical Modeling to Distinguish Intrinsic and Acquired Targeted Therapeutic Resistance in Head and Neck Cancer
    Santiago D. Cardenas, Constance J. Reznik, Ruchira Ranaweera, Feifei Song, Christine H. Chung, Elana J. Fertig, Jana L. Gevertz

  3. Mechanistic model of MAPK signaling reveals how allostery and rewiring contribute to drug resistance
    Fabian Fröhlich, Luca Gerosa, Jeremy Muhlich, Peter K. Sorger

  4. The Macroscopic Growth Laws of Brain Metastases
    Beatriz Ocaña-Tienda, Julián Pérez-Beteta, David Molina-García, Juan Jiménez-Sánchez, …, Manuel Llorente, Natalia Carballo, Estanislao Arana, Víctor M. Pérez-García

  5. COVID-19 vaccine incentive scheduling using an optimally controlled reinforcement learning model
    Kristina Stuckey, Paul Newton

  1. Predicting Citation Impact from Altmetric Attention in Clinical and Translational Research: Do Big Splashes Lead to Ripple Effects?
    Nicole Llewellyn, Eric J. Nehl: “Articles with significant altmetric attention make a big splash of immediate impact, whereas papers with high rates of academic citation reflect ripple effects of influence over time.”

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: Kester et al. monitor the evolution of a colon cancer organoid model over 100 generations. They develop a single-cell genomics approach to integrate multiple lineage measurements from individual cells and reconstruct parallel tumor evolution from the model. The illustration represents clones emerging and competing within a colon cancer organoid culture.

Created by: Buys de Barbanson

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

  • Dynamics and Statistics of Cancer Evolution Research School - 6-10 Jun 2022

3. Special issues

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