#MathOnco Issue 47: immune perspective on chemo; system response to local therapy; evolution of cooperation;
This week in
Mathematical Oncology
Dec. 20, 2018 ~ Issue 47
From the editor
Hello #MathOnco readers,
This week's issue contains topics like models of system responses to localized therapy, evolution of cooperation on an epithelium, an immune perspective on chemotherapy, and more. Enjoy!
As an interesting aside, I stumbled across a phenomenal example of data visualization designed to enhance the reader's understanding of histograms. In the authors' own words: "When thinking about data, it is often useful to produce visualizations to better understand distributions and relationships between variables." Click here for some data visualization inspiration!
This will be the last issue of the year, expect to hear from me again after the new year!
-Jeffrey West
#MathOnco Publications
Immune interconnectivity of anatomically distant tumors as a potential mediator of systemic responses to local therapy
Authors: Rachel Walker, Jan Poleszczuk, Shari Pilon-Thomas, Sungjune Kim, Alexander A. R. A. Anderson, Brian J. Czerniecki, Louis B. Harrison, Eduardo G. Moros & Heiko Enderling
Range Expansion Theories Could Shed Light on the Spatial Structure of Intra-tumour Heterogeneity
Authors: Cindy Gidoin, Stephan Peischl
#MathOnco Preprints
Evolution of cooperation on an epithelium
Authors: Jessie Renton, Karen M. Page
The distribution of epistasis on simple fitness landscapes
Authors: Christelle Fraisse, John J Welch
The Goldilocks Window of Personalized Chemotherapy: An Immune Perspective
Authors: Derek S. Park, Mark Robertson-Tessi, Philip Maini, Michael B Bonsall, Robert A Gatenby, Alexander RA Anderson
Struggle for Existence: the models for Darwinian and non-Darwinian selection
Authors: Georgy Karev, Faina Berezovskaya
CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer
Authors: Thomas D Sherman, Luciane T Kagohara, Raymon Cao, Raymond Cheng, ..., Louis M Weiner, Christine Chung, Elana Fertig
#MathOnco News
Taking uncertainty out of cancer prognosis
Brian Stallard: "According to a paper recently published in the journal eLife, his team not only traced each patient’s outcome—whether it be recovery or tragedy—but also took a closer look at genetic sites commonly associated with cancer-causing mutations. 'While there wasn’t very much of a difference in the types of mutations that benign and aggressive tumors had,” said Sheltzer, “when we looked at copy number changes in these same genes, we found a very significant difference.'” This eLife publication additionally provides a free web portal to facilitate community access to this rich biomarker dataset at http://survival.cshl.edu.
#MathOnco - Book of the month
Cancer: The Evolutionary Legacy
Mel Greaves: Placing cancer in its evolutionary context, Greaves argues that "we can best answer the big questions about cancer by looking through a Darwinian lens. Drawing on both ancient and more modern evolutionary legacies, he shows how human development has changed the rules of evolutionary games, trapping us in a nature-nurture mismatch."
Most clicked links of November
A mathematical framework for modelling the metastatic spread of cancer
Evolutionary dynamics of residual disease in human glioblastoma
Cooperation among cancer cells: applying game theory to cancer
Jobs
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