This week in MathOnco 299
Spatial evolution, patient-specific models, EMT, plasticity and more...
“This week in Mathematical Oncology” — July 11, 2024
> mathematical-oncology.org
From the editor:
Some exciting news… #MathOnco is on LinkedIn! Thanks to François de Kermenguy for joining our math oncology team and setting up the page! Click below:
Be sure to check out the cover artwork below, and there is also a postdoc job post at Univ Cambridge below, too.
Enjoy,
Jeffrey West
jeffrey.west@moffitt.org
Richard Norris, John Jones, Erika Mancini, Timothy Chevassut, Fabio A. Simoes, Chris Pepper, Andrea Pepper & Simon Mitchell
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against myeloproliferative neoplasms
Hermange G., Vainchenker W., Plo I., Cournède P.-H.Oncotree2vec — a method for embedding and clustering of tumor mutation trees
Monica-Andreea Baciu-Drăgan, Niko BeerenwinkelExploiting Matrix Stiffness to Overcome Drug Resistance
Hakan Berk Aydin, Altug Ozcelikkale, and Ahmet AcarDissecting the Spatially Restricted Effects of Microenvironment-Mediated Resistance on Targeted Therapy Responses
Tatiana Miti, Bina Desai, Daria Miroshnychenko, David Basanta, Andriy MarusykModeling spatial evolution of multi-drug resistance under drug environmental gradients
Tomas Ferreira Amaro Freire, Zhijian Hu, Kevin B. Wood, Erida Gjini
Exploring the role of EMT in Ovarian Cancer Progression: Insights from a multiscale mathematical model
Samuel Oliver, Michael Williams, Mohit Kumar Jolly, Deyarina Gonzalez, Gibin PowathilConfinement, jamming, and adhesion in cancer cells dissociating from a collectively invading strand
Wei Wang, Robert A. Law, Emiliano Perez Ipiña, Konstantinos Konstantopoulos, Brian A. Camley
Mathematical Oncology on LinkedIn
Thank you to François de Kermenguy for setting up the Math Onco page on LinkedIn. Click here to Follow us on Linked In!Book: Cancer through the Lens of Evolution and Ecology
Edited By: Jason A. Somarelli, Norman A. Johnson
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: Frequency-Dependent Ecological Interactions Increase the Prevalence, and Shape the Distribution, of Preexisting Drug Resistance published in PRX Life
Artist: Many resistance-conferring mutations often carry a substantial fitness cost in the absence of treatment. As a result, we would expect these mutants to undergo purifying selection and be rapidly driven to extinction. In our new paper, we propose that frequency-dependent ecological interactions play a major role in the prevalence of preexisting resistance by ameliorating this resistance cost when the mutant population is small. We combine numerical simulations with robust analytical approximations to provide a rigorous mathematical framework for studying the effects of frequency-dependent ecological interactions on the evolutionary dynamics of preexisting resistance, and we demonstrate the prevalence of positive ecological interaction in a set of common resistant mutants in EGFR+ NSCLC. Our results suggest that frequency-dependent ecological effects can play a crucial role in shaping the evolutionary dynamics of preexisting resistance.
Caption: APS/YOHOHO Studio
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