#MathOnco Issue 77: cancer evolution, selection in hierarchical tissues, adaptive resistant management, and more.
This week in
Math Oncology
August 8, 2019 ~ Issue 77
From the editor
#MathOnco friends,
It is always exciting collecting these resources for the community every week. This week is no exception, as you all have continued to publish amazing work in topics such as cancer evolution, selection in hierarchical tissues, adaptive resistant management, and more. Please enjoy,
-Jeffrey West
#MathOnco Publications
Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect
Authors: Kaitlyn E. Johnson, Grant Howard, William Mo, Michael K. Strasser, Ernesto A. B. F. Lima, Sui Huang, Amy Brock
A Quasi Birth-and-Death Model For Tumor Recurrence
Authors: Leonardo M.Santana, Shridar Ganes, Gyan Bhanot
The Goldilocks Window of Personalized Chemotherapy: Getting the Immune Response Just Right
Authors: Derek S Park, Mark Robertson-Tessi, Kimberly A Luddy, Philip K Maini, Michael B Bonsall, Robert A Gatenby and Alexander R. A. Anderson
Acute vs. Chronic vs. Cyclic Hypoxia: Their Differential Dynamics, Molecular Mechanisms, and Effects on Tumor Progression
Authors: Kritika Saxena and Mohit Kumar Jolly
Cancer cell evolution through the ages
Authors: Carlo C. Maley, Darryl Shibata
#MathOnco Preprints
Adaptive resistance management with uncertain fitness costs
Authors: Brown, Zachary S.; Roh, Hyeongyul
A compartment size dependent selective threshold limits mutation accumulation in hierarchical tissues
Authors: Dániel Grajzel, Imre Derényi, Gergely J. Szöllősi
Statistical inference for the evolutionary history of cancer genomes
Authors: K. N. Dinh, R. Jaksik, M. Kimmel, A. Lambert, S. Tavaré
All pithy maxims about modeling are wrong, but some are useful
Fred Adler: "In science, criticism is perhaps the highest compliment, showing that we take work so seriously that we are inspired to spend time thinking about and formulating how work can be improved. It is in this spirit that I lay out some of the many issues that I have with the model of Zhang et al (2017) developed by my friends and colleagues at the Moffitt Cancer Center."
The Colors of Cancer
Thomas Hillen: "Targeted drugs are specifically designed to kill cells of one color, and one color only. [...] What we need to develop in the future are rainbow-drugs. Drugs that are able to find all possible shades of cancer in human tissue, drugs that are multipotent, and drugs that are patient-specific."
#MathOnco - Book of the month
Partial Differential Equations
Theory and Completely Solved Problems
T. Hillen, I.E. Leonard and H. van Roessel:
"We, as authors, were quite concerned about the high pricing of textbooks. Hence, for the second edition, we offer our book under a self-publishing license. This allows us to attain professional quality, while being able to set affordable prices. This textbook has been class tested for many years and it is a professionally produced textbook for a third-year PDE course. It offers many learning tools that allow students to make progress and master the material. "
Most clicked links of July
Personalized Therapy Design for Liquid Tumors via Optimal Control Theory
Consecutive seeding and transfer of genetic diversity in metastasis
Jobs
Data-driven modeling of breast cancer metastasis - Postdoc (Paul Macklin)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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