This Week in #MathOnco
This week in
Mathematical Oncology
March 8, 2018 ~ Issue 11
From the editor
At the start of every week, I wonder if this week will hold the promise of any new mathematical oncology publications. As of yet, the community has never failed to produce amazing work, week in and week out.
This week that includes a pharmacokinetics model coupled with co-culture experiments, cancer spatial diversity measures, lessons on stochastic modeling, and more.
Keep sciencing,
-Jeffrey West
#MathOnco Publications
The evolution of tumor composition during fractionated radiotherapy: implications for outcome
Authors: Thomas D. Lewin, Philip K. Maini, Eduardo G. Moros, Heiko Enderling, Helen M. Byrne
Variable cell line pharmacokinetics contribute to non-linear treatment response in heterogeneous cell populations
Authors: Matthew T. McKenna, Jared A. Weis, Vito Quaranta, Thomas E. Yankeelov
#MathOnco Preprints
Some lessons and perspectives for application of stochastic models in biological and cancer research
Authors: Alan Sabino, Miguel Felipe Silva Vasconcelos, ..., Alexandre Ferreira Ramos
Model for breast cancer diversity and spatial heterogeneity
Authors: J. Roberto Romero-Arias, Guillermo Ramirez-Santiago, ..., Maribel Hernandez-Rosales
Central dogma rates and the trade-off between precision and economy
Authors: Jean Hausser, Avi Mayo, Uri Alon
Somatic maintenance alters selection acting on mutation rate
Authors: Andrii Rozhok, James DeGregori
Fractionated follow-up chemotherapy delays the onset of resistance in bone metastatic prostate cancer
Authors: Pranav Warman, Artem Kaznatcheev, Arturo Araujo, Conor Lynch, David Basanta
#MathOnco News
Why don't patients get sick in sync?
Veronique Greenwood: Quantamagazine describes a project initially intended to model how cancer spreads through a tissue but eventually led to a more general model of disease incubation times. "In experiments in which the trigger for a cancer’s development is known, the length of time for symptoms to appear falls along a lognormal distribution, rather than a bell curve." Why do so many non-similar diseases follow this same distribution?
#MathOnco Books
The Cancer Chronicles: Unlocking Medicine's Deepest Mystery
George Johnson: "When the woman he loved was diagnosed with a metastatic cancer, George Johnson set out to learn everything he could about the disease and the people who spend their careers trying to understand and to fight it. What he discovered is a revolution under way—an explosion of new ideas about what cancer really is and where it comes from."
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