This week in MathOnco 203

Estrogen paradox, stochastic fluctuations, plasticity, and more.

“This week in Mathematical Oncology” — Mar. 31, 2022

> mathematical-oncology.org

From the editor:

Today’s edition features a mathematical model of the estrogen paradox (see also the cover image this week), a roadmap paper on plasticity in cancer, stochastic fluctuations in non-genetic evolution, and more.

Jeffrey West
jeffrey.west@moffitt.org

1. Mathematical model for the estrogen paradox in breast cancer treatment
   Rachid Ouifki, Segun I. Oke

2. Roadmap on plasticity and epigenetics in cancer
   Jasmine Foo, David Basanta, Russell C. Rockne, Carly Strelez, …, Mary Spilker, Blerta Shtylla, Mark Robertson-Tessi, Alexander R A Anderson

3. A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy
   Xiaoran Lai, Håkon A. Taskén, Torgeir Mo, Simon W. Funke, Arnoldo Frigessi, Marie E. Rognes, Alvaro Köhn-Luque

1. Adversarial attacks and adversarial robustness in computational pathology
   Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman D. Buelow, Rupert Langer, Bastian Dislich, Peter Boor, Volkmar Schulz, Jakob Nikolas Kather

2. CNETML: Maximum likelihood inference of phylogeny from copy number profiles of spatio-temporal samples
   Bingxin Lu, Kit Curtius, Trevor A Graham, Ziheng Yang, Chris P Barnes

3. Stochastic fluctuations drive non-genetic evolution of proliferation in clonal cancer cell populations
   Carmen Ortega-Sabater, Gabriel F. Calvo, Jelena Dinić, Ana Podolski-Renic, Milica Pesic, Víctor M. Pérez-García

1. Data Science: R Basics

   Harvard University
   "The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states. We’ll cover R’s functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.”

The newsletter now has a dedicated homepage where we post the cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group.

Caption: This artwork is based on a bifurcation diagram that emerged from our paper on the Estrogen paradox that was recently published in the Journal of Mathematical Biology. In this paper, we proposed a novel mathematical model that accounts for the interactions between cancer cells, the estrogen hormone and the p53 protein. The model's bifurcation analysis suggests that the estrogen paradox could be the result of an interplay between estrogen and p53. It further provides explicit conditions under which the paradoxical effect of long-term treatment may be prevented. Active-tumor cells are eliminated in the purple areas and persist in the red and green ones. To reflect the paradox our paper addresses, the bifurcation diagrams have been arranged around a Penrose triangle.

Created by: Rachid Ouifki & Oke Segun

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