#MathOnco Issue 81: cooperative adaptation, immunogenicity, genetic heterogeneity, logistic models, and phenotypic coexistence
This week in
Math Oncology
Sept. 5, 2019 ~ Issue 81
From the editor
#MathOnco friends,
This week in math oncology includes topics like cooperative adaptation, immunogenicity, genetic heterogeneity, logistic models, and phenotypic coexistence. I've also included a link to my latest blog post on integrating two open-source tools from the Anderson Lab for modeling & visualizing tumor evolution.
-Jeffrey West
#MathOnco Publications
A hybrid discrete–continuous model of metastatic cancer cell migration through a remodeling extracellular matrix
Authors: Yen T. Nguyen Edalgo, Anya L. Zornes, Ashlee N. Ford Versypt
Cooperative adaptation to therapy (CAT) confers resistance in heterogeneous non-small cell lung cancer
Authors: Morgan Craig , Kamran Kaveh, Alec Woosley, Andrew S. Brown, David Goldman, Elliot Eton, Ravindra M. Mehta, Andrew Dhawan, Kazuya Arai, M. Mamunur Rahman, Sidi Chen, Martin A. Nowak, Aaron Goldman
An analysis of genetic heterogeneity in untreated cancers
Authors: Johannes G. Reiter, Marina Baretti, Jeffrey M. Gerold, Alvin P. Makohon-Moore, Adil Daud, Christine A. Iacobuzio-Donahue, Nilofer S. Azad, Kenneth W. Kinzler, Martin A. Nowak & Bert Vogelstein
Effects of mutations and immunogenicity on outcomes of anti-cancer therapies for secondary lesions
Authors: ElenaPiretto, Marcello Delitala, Peter S. Kim, Federico Frascoli
Global Dynamics of a Novel Delayed Logistic Equation Arising from Cell Biology
Authors: Ruth E. Baker, Gergely Röst
#MathOnco Preprints
Mix & Match: Phenotypic coexistence as a key facilitator of solid tumour invasion
Authors: Maximilian A. R. Strobl, Andrew L. Krause, Mehdi Damaghi, Robert Gillies, Alexander R. A. Anderson, Philip K. Maini
A mathematical multi-organ model for bidirectional epithelial-mesenchymal transitions in the metastatic spread of cancer
Authors: Linnea C. Franssen, Mark A.J. Chaplain
HAL + EvoFreq: A tutorial on modeling & visualizing tumor evolution
Jeffrey West: The Anderson lab at Moffitt Cancer Center has developed HAL and EvoFreq in order to facilitate a straight forward pipeline of modeling and visualizing simulated tumor evolution. HAL can be used to design an agent-based model and generate a clonal lineage tree. This lineage is automatically output in an EvoFreq-friendly format.
Download the HAL and EvoFreq code on GitHub and read the blog.
#MathOnco - Book of the month
An Editor's Guide to Writing and Publishing Science
Michael Hochberg: "Publishing is rapidly changing, and needs to be explained with a fresh perspective. Simply writing good, clear, concise, science is no longer enough-there is a different mind-set now required that students need to adopt if they are to succeed. The purpose of this book is to provide the foundations of this new approach for both young scientists at the start of their careers, as well as for more experienced scientists to teach the younger generation."
Most clicked links of August
A short comment on statistical versus mathematical modelling
Mathematical Models of Cancer: When to Predict Novel Therapies, and When Not to
Jobs
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Data-driven modeling of breast cancer metastasis - Postdoc (Paul Macklin)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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