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.


Jeffrey West

  1. 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

  2. Model-Informed Drug Development: Connecting the Dots With a Totality of Evidence Mindset to Advance Therapeutics
    Karthik Venkatakrishnan, Piet H. van der Graaf

  3. 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

  4. How translational modelling in oncology needs to get the mechanism just right
    James WT Yates, David A Fairman

  5. Microeconomics of Metabolism: The Warburg Effect as Giffen Behaviour
    Jumpei F. Yamagishi, Tetsuhiro S. Hatakeyama

  6. 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

  1. OpenACC Acceleration of an Agent-Based Biological Simulation Framework
    Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran

  2. 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

  3. On stability of the Darwinian dynamics
    Mohammadreza Satouri, Jafar Rezaei, Kateřina Staňková

  1. Every gene can (and possibly will) be associated with cancer
    Trends in Genetics
    João Pedrode Magalhães

  2. 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 (, 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.

Created by: Oliver Vipond, Joshua Bull (@JoshuaABull), Philip Macklin, Ulrike Tillmann, Chris Pugh, Helen Byrne and Heather Harrington (@haharrington).

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