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This week in MathOnco 247
Evolutionary models, quantitative systems pharmacology, first passage time analysis
“This week in Mathematical Oncology” — Mar. 23, 2023
> mathematical-oncology.org
From the editor:
Today we feature articles on evolutionary models, quantitative systems pharmacology, first passage time analysis, and more.
Enjoy,
Jeffrey West
jeffrey.west@moffitt.org
“I not only use all the brains that I have, but all I can borrow."
- W. Wilson
State-dependent evolutionary models reveal modes of solid tumour growth
Maya A. Lewinsohn, Trevor Bedford, Nicola F. Müller, Alison F. FederAn oncospace for human cancers
Guim Aguadé-Gorgorió, José Costa, Ricard SoléFascination with Fluctuation: Luria and Delbrück’s Legacy
Raina S. Robeva, John R. JungckQuantitative systems pharmacology model of GITR-mediated T cell dynamics in tumor microenvironment
Yan Ji, Kumpal Madrasi, Deborah A. Knee, Lore Gruenbaum, Joshua F. Apgar, John M. Burke, Bruce GomesDevelopment of a coupled modeling for tumor growth, angiogenesis, oxygen delivery, and phenotypic heterogeneity
Mahmood Borzouei, Mohammad Mardaani, Modjtaba Emadi-Baygi & Hassan RabaniFirst passage time analysis of spatial mutation patterns reveals sub-clonal evolutionary dynamics in colorectal cancer
Magnus J. Haughey, Aleix Bassolas, Sandro Sousa, Ann-Marie Baker, Trevor A. Graham, Vincenzo Nicosia, Weini Huang
Clonal phylogenies inferred from bulk, single cell, and spatial transcriptomic analysis of cancer
Andrew Erickson, Sandy Figiel, Timothy Rajakumar, Srinivasa Rao, …, Freddie C Hamdy, Dan Woodcock, Ian G Mills, Alastair D LambExploring the onset and progression of prostate cancer through a multicellular agent-based model
Margot Passier, Maisa van Genderen, Anniek Zaalberg, Jeroen Kneppers, Elise Bekers, Andries M Bergman, Wilbert Zwart, Federica EduatiMolecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumors
Cody N. Heiser, Alan J. Simmons, Frank Revetta, Eliot T. McKinley, …, Qi Liu, Martha J. Shrubsole, Robert J. Coffey, Ken S. LauA phenotype-structured model for the tumour-immune response
Zineb Kaid, Jean Clairambault, Camille Pouchol
New feature: List of datasets for MathOnco research
The Mathematical Oncology Blog
Guillermo Lorenzo, David Hormuth: “As MathOnco researchers, we often find ourselves in need of specific data to test a new idea, calibrate our models, or validate our patient-specific predictions and novel cancer mechanisms. In order to facilitate the search for data to bring forth our models and as well as to foster the development of new ideas and collaborations, we are glad to introduce a new feature of the MathOnco website: the MathOnco Datasets.“Modelling evolution at the boundaries of solid tumours
Nature Ecology & Evolution: News & Views
Subhayan Chattopadhyay & David Gisselsson: “A mathematical model of eco-evolutionary dynamics estimates different birth rates of cells at the periphery of a tumour versus its centre, giving insight into locally stable evolutionary mechanisms that arise as a result of boundary-driven growth.”Insilico UK
Evidence and Impact: “What is the UK and international evidence and impact behind in-silico technologies based? By 2025 at least £2.6 billion worth of Pharma and Med Devices underpinned by in-silico methods will be made in the UK, even at our current share of the global manufacturing. In-silico technologies will be critical to the future of the 111,200 directly employed in 2010 UK manufacturing sites in the Pharmaceutical and Med-Tech sectors.”
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: “State-dependent evolutionary models reveal modes of solid tumour growth” in Nature Ecology & Evolution
Artist: Maya A. Lewinsohn (@MayaLewinsohn)
Caption: "Computational biology is accomplished through trial and error. Mistakes can bring frustration, but also unexpected insights. This artwork is inspired by plotting blunders that resulted in “accidental art” — plots that were fairly useless at communicating data, but that were surprisingly aesthetic."
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