This Week in Mathematical Oncology
This week in
Mathematical Oncology
December 18, 2017 ~ Issue 1
From the editor
Welcome to the first edition of the #MathOnco newsletter. The purpose of this weekly(ish) email is to consolidate the important updates in the field of mathematical oncology into one, distilled form of communication. These might be tweets, preprints, post-prints, or even blog posts.
I'd love for this to grow into a community-led project, which is why I'll always include a submit button. Use it to recommend the best science, new or old.
Is the field of mathematical oncology ready for the next (r)evolution? Let's begin.
-Jeffrey West
#MathOnco Publications
Spatial competition constrains resistance to targeted cancer therapy
Authors: Katarina Bacevic, Robert Noble, ..., Daniel Fisher
An evolutionary perspective on field cancerization
Authors: Kit Curtius, Nicholas A. Wright & Trevor A. Graham
Activation of the HGF/c-Met axis in the tumor microenvironment: a multispecies model
Authors: Anna Konstorum, John S. Lowengrub
Study on the tumor-induced angiogenesis using mathematical models
Authors: Takashi Suzuki, Dhisa Minerva, ..., Mark Chaplain
#MathOnco Preprints
Competition and niche construction in a model of cancer metastasis
Authors: Jimmy Qian, Erol Akcay
Aging in a relativistic biological space-time
Authors: Davide Maestrini, Daniel Abler, ..., Russell Rockne
Effect sizes of somatic mutations in cancer
Authors: Vincent L. Cannataro, Stephen G. Gaffney, Jeffrey P. Townsend
A mathematical approach to differentiate spontaneous and induced evolution to drug resistance during cancer treatment
Authors: James M. Greene, Jana L. Gevertz, Eduardo D. Sontag
Tuning spatial profiles of selection pressure to modulate the evolution of resistance
Authors: Maxwell G. De Jong, Kevin B. Wood
#MathOnco on Twitter
#ISEEC17
The International Society for Evolution, Ecology, and Cancer held a conference in beautiful Tempe, Arizona last week. The conference website details the theme as "Resistance, Resilience, and Robustness." Follow the conference hashtag (full of tons of math onco projects), here. Or check out a #Storify of the entire stream here.
#MathOnco in the news
Mathematical Model Mimics Melanoma
"The researchers applied a modification of the Widom-Rowlinson model—a mathematical model that has been used in contexts ranging from theoretical chemistry to sociology—to try to determine what factors explained the pattern of cell growth seen in the laboratory experiments."
Everything you need to know about CRISPR
Not exactly math-related, but CRISPR gene editing techniques are improving seemingly daily -- a sure need for math modeling to aid decision making, analysis the success or outcome of techniques, and to disentangle unwanted off-target effects. We'll be keeping an eye on the CRISPR literature.
Can a math model help predict an immune response to cancer?
"Why do some immunotherapies work in certain patients and not others? It’s a multi-million dollar question, which researchers at the Icahn School of Medicine at Mount Sinai are hoping to solve with some custom computer modeling." Click to read about the neoantigen fitness model of tumor response to immunotherapy.
#MathOnco Books
In the spirit of new beginnings, this week we'll share a classic cancer textbook that we feel is a good starting place for anyone new to the biology of cancer. Use the link below to buy on Amazon.
Biology of Cancer (2nd Edition), Weinberg
Do you see something we missed? Click the submit button below to send us an idea for next week's issue.
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