This week in MathOnco 186
Adaptive therapy, translational modeling, immune-spatial patterns, model-informed drug development, fitness landscapes
“This week in Mathematical Oncology” — Nov. 4, 2021
From the editor:
This week’s edition includes topics such as adaptive therapy, translational modeling, immune-spatial patterns, model-informed drug development, and fitness landscapes.
Multiparameter persistent homology landscapes identify immune cell spatial patterns in tumors
Oliver Vipond, Joshua A. Bull, Philip S. Macklin, Ulrike Tillmann, Christopher W. Pugh, Helen M. Byrne, Heather A. Harrington
Model-Informed Drug Development: Connecting the Dots With a Totality of Evidence Mindset to Advance Therapeutics
Karthik Venkatakrishnan, Piet H. van der Graaf
It doesn’t always pay to be fit: success landscapes
Trung V. Phan, Gao Wang, Tuan K. Do, Ioannis G. Kevrekidis, Sarah Amend, Emma Hammarlund, Ken Pienta, Joel Brown, Liyu Liu, Robert H. Austin
How translational modelling in oncology needs to get the mechanism just right
James WT Yates, David A Fairman
Microeconomics of Metabolism: The Warburg Effect as Giffen Behaviour
Jumpei F. Yamagishi, Tetsuhiro S. Hatakeyama
Predictive Genomic Biomarkers of Hormonal Therapy Versus Chemotherapy Benefit in Metastatic Castration-resistant Prostate Cancer
Ryon P. Graf, Virginia Fisher, Joaquin Mateo, Ole V. Gjoerup, …, Jeffrey S. Ross, Geoffrey R. Oxnard, Jeffrey M. Venstrom, Amado J. Zurita
OpenACC Acceleration of an Agent-Based Biological Simulation Framework
Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran
Is the Success of Adaptive Therapy in Metastatic Castrate Resistant Prostate Cancer Influenced by Cell-Type-Dependent Production of Prostate Specific Antigen?
Monica Salvioli, Len Vandelaer, Katharina Schneider, Rachel Cavill, Kateřina Staňková
On stability of the Darwinian dynamics
Mohammadreza Satouri, Jafar Rezaei, Kateřina Staňková
Every gene can (and possibly will) be associated with cancer
Trends in Genetics
João Pedrode Magalhães
Bridging the gap between theory and clinic: the importance of measuring pairwise interactions
The Mathematical Oncology Blog
Nathan Farrokhian: “In our recent preprint, we [showed] that frequency dependent interactions ameliorate the fitness cost of gefitinib resistance in an in vitro EGFR+ lung cancer population, which leads to a potential safe harbor for small resistant sub-populations. As expected, introduction of gefitinib reverses these interactions such that the resistant population promotes more rapid extinction of the non-resistant cells. Most importantly, at clinically relevant doses, this interaction outweighs the effect of the drug itself.”
The newsletter now has a dedicated homepage (thisweekmathonco.substack.com), which allows us to post cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group.
Caption: Describing medical images using mathematics can help us analyse and understand them. In our new paper, we show how immunohistochemistry images (left) can be described using Persistence Landscapes (right), a new Topological Data Analysis tool. In combination with mathematical modelling, we use this to explore the relationship between immune cell localisation and hypoxia in head and neck tumour samples.
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