#MathOnco Issue 21: cancer as social dysfunction, purifying selection, subclonal quantification, tumor-stroma game theory, neural networks
This week in
Mathematical Oncology
June 8, 2018 ~ Issue 21
From the editor
Greetings from England, where I've been attending the Evolutionary Biology and Ecology of Cancer workshop at the Wellcome Genome Conference (follow along at #EBECancer18). With the influx of new subscribers, I've decided to slightly update the format of the newsletter by including the "best of last month" -- see the links at the bottom.
As always, feel free to reply to this email and send me relevant articles to include in next week's issue! Enjoy,
-Jeffrey West
#MathOnco Publications
Cancer as a Social Dysfunction - Why Cancer Research Needs New Thinking
Authors: Kenneth J. Pienta and Robert Axelrod
The effect of strong purifying selection on genetic diversity
Authors: Ivana Cvijovic, Benjamin H Good, Michael M Desai
Quantification of subclonal selection in cancer from bulk sequencing data
Authors: Marc J. Williams, Benjamin Werner, Timon Heide, Christina Curtis, Chris P. Barnes, Andrea Sottoriva & Trevor A. Graham
Game theory of tumor-stroma interactions in multiple myeloma: effect of nonlinear benefits
Authors: Javad Salimi Sartakhti, Mohammad Hossein Manshaei, Marco Archetti
#MathOnco Preprints
Using neural networks to bridge scales in cancer: Mapping signaling pathways to phenotypes
Authors: Eunjung Kim, Philip Gerlee, Alexander Anderson
Inferring tumour proliferative organization from phylogenetic tree measures in a computation model
Authors: Jacob G Scott, Alexander RA Anderson, Philip K Maini, Alexander G Fletcher
Cryptsim: modeling the evolutionary dynamics of the progression of barrett's esophagus to esophageal adenocarcinoma
Authors: Diego Mallo, Rumen Kostadinov, Luis Cisneros, Mary K Kuhner, Carlo C Maley
#MathOnco News
Blog: Quantification of subclonal selection in human cancers
Marc Williams: As a companion to the recent publication in Nature Genetics, Marc explains his intention to "make the software/scripts for each of these components freely available (via github) and (hopefully) easy to use so that the results are as reproducible as possible and so that similar analyses can be performed with different datasets."
#MathOnco - Book of the month
Adaptive Oncogenesis
James DeGregori's new cell biology book "corrects the fundamental attribution error that has focused cancer research on malignant cells and their genes. Adaptive oncogenesis, or ‘EcoOncogenesis,’ shows that the ecosystems surrounding cells are equally important, responsible for creating selection forces that speed or slow the evolution of cancer. "
#MathOnco - Best of last month
Most clicked links of May
Mathematical modeling predicts response to chemotherapy and drug combinations in ovarian cancer
A computational framework for the personalized clinical treatment of glioblastoma multiforme
Estimating intratumoral heterogeneity from spatiotemporal data
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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