#MathOnco Issue 54: evolutionary dynamics and heterogeneity; optimal therapeutic scheduling; cell-based modeling techniques
This week in
Mathematical Oncology
Feb. 14, 2019 ~ Issue 54
From the editor
Hello #MathOnco friends,
There have been so many exciting updates recently in modeling evolutionary dynamics and heterogeneity! I've documented a few below, along with some interesting publications on optimal therapeutic scheduling and a nice review of cell-based modeling techniques. This is a packed issue!
-Jeffrey West
#MathOnco Publications
Population size changes and extinction risk of populations driven by mutant interactors
Authors: Hye Jin Park, Yuriy Pichugin, Weini Huang, and Arne Traulsen
A Review of Cell-Based Computational Modeling in Cancer Biology
Authors: John Metzcar, Yafei Wang, Randy Heiland, Paul Macklin
Neighborhood size-effects shape growing population dynamics in evolutionary public goods games
Authors: Gregory J. Kimmel, Philip Gerlee, Joel S. Brown & Philipp M. Altrock
Clonal replacement and heterogeneity in breast tumors treated with neoadjuvant HER2-targeted therapy
Authors: Jennifer L. Caswell-Jin, Katherine McNamara, Johannes G. Reiter, ..., Debu Tripathy, Michael F. Press & Christina Curtis
Directional inconsistency between Response Evaluation Criteria in Solid Tumors (RECIST) time to progression and response speed and depth
Authors: Kaitlyn Johnson, Axel Gomez, Jackson Burton, Douglas White, Arijit Chakravarty, Annette Schmid, Dean Bottino
#MathOnco Preprints
Optimal Scheduling of Bevacizumab and Pemetrexed/Cisplatin Dosing in Non-Small Cell Lung Cancer
Authors: Benjamin Schneider, Arnaud Boyer, Joseph Ciccolini, Fabrice Barlési, Kenneth Wang, Sébastien Benzekry, Jonathan Paul Mochel
Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma
Authors: Susan Christine Massey, Haylye White, Paula Whitmire, ..., Maciej M Mrugala, Kristin R Swanson
#MathOnco News
Eco-evolutionary public goods shared among neighbors
Behind the paper: "Since we knew that interesting PGGs are non-linear, Philip Gerlee, Gregory Kimmel, Joel Brown and I [Philipp Altrock] began to look into possible mechanisms that can explain coexistence and multiple stable equilibria in this complex system. It was also important to us to link our model to the data from 2015. We started with the idea that the non-linear public good acts in a finite neighborhood, and that its growth rate function steeply increases at first but saturates with a sufficient number of cooperators. We modeled the population game either as a deterministic system, or as a stochastic process."
#MathOnco - Book of the month
CSBC/PS-ON Handbook of Mathematical Oncology
A. Anderson, J. Couch, D. Gallahan, N. Moore, K. Swanson, C. Tomlin: The biannual Mathematics of the PS-OC and ICBP workshops were designed to help nurture the developing mathematical oncology community. A direct product of these meetings was a desire to create a shared resource of cancer models and modeling approaches in the form of short and succinct mini-papers with the intention to act as a broader resource that would be enduring for the entire community: a handbook of key methods, concepts, and approaches in Math Oncology.
Most clicked links of January
On the role of tumor heterogeneity for optimal cancer chemotherapy
Paradoxes of tumour complexity: somatic selection, vulnerability by design, or infectious aetiology?
Control Structures of Drug Resistance in Cancer Chemotherapy
Jobs
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