#MathOnco Issue 110: Norton-Simon, mutator genes, biological networks, cancer cachexia, adaptive cancer therapy, carrying capacity
This week in
Math Oncology
Apr. 9, 2020 ~ Issue 110
From the editor
Hello!
Today's issue of "This week in Mathematical Oncology" contains papers on Norton-Simon, mutator genes, biological networks, cancer cachexia, and one of my own on adaptive therapy (and we made the cover!). Read on for more.
-Jeffrey West
PS. Scroll down for a short addendum on covid-19 modeling at the end of this newsletter.
#MathOnco Publications
Towards multi-drug adaptive therapy
Authors: Jeffrey West, Li You, Jingsong Zhang, Robert A Gatenby, Joel S Brown, Paul K. Newton and Alexander R.A. Anderson
Growth rate, growth curve and growth prediction of tumour in the competitive model
Authors: Mahdi Sohrabi-Haghighat, Atefeh Deris
Using medical claims database to develop a population disease progression model for leuprorelin-treated subjects with hormone-sensitive prostate cancer
Authors: Yixuan Zou, Fei Tang, Jeffery C. Talbert, Chee M. Ng
Stochastic Norton-Simon-Massagué Tumor Growth Modeling: Controlled and Mixed-Effect Uncontrolled Analysis
Authors: Zehor Belkhatir, Michele Pavon, James C. Mathews, Maryam Pouryahya, Joseph O. Deasy, Larry Norton, Allen R. Tannenbaum
Mutator Gene Model with Three Classes of Evolutionary States
Authors: David B. Saakian, Tatiana Yakushkkina
Springing an evolutionary trap on cancer
Authors: Charles Y. Lin
#MathOnco Preprints
Reconciling Qualitative, Abstract, and Scalable Modeling of Biological Networks
Authors: Loïc Paulevé, Juraj Kolčák, Thomas Chatain, Stefan Haar
Mathematical Model of Muscle Wasting in Cancer Cachexia
Authors: Suzan Farhang-Sardroodi, Kathleen P Wilkie
A comparative study between discrete and continuum models for the evolution of competing phenotype-structured cell populations in dynamical environments
Authors: Aleksandra Ardaševa, Robert A. Gatenby, Alexander R. A. Anderson, Helen M. Byrne, Philip K. Maini, Tommaso Lorenzi
Stabilising selection causes grossly altered but stable karyotypes in metastatic colorectal cancer
Authors: William Cross, Maximilian Mossner, Salpie Nowinski, George Cresswell, ..., Hemant Kocher, Simon J Leedham, Andrea Sottoriva, Trevor A Graham
K like carrying capacity?
The Mathematical Oncology Blog
Maximilian Strobl: "If asked for an equivalent of the iconic in biology it would be fair to respond with the logistic equation. Not only is this one of the most well-known equation in biology (and that means something), but it also forms the foundation of many of our theoretical models of population growth and dispersal (e.g. Fisher's equation). However, unlike Einstein's model of the relationship between energy and mass, the logistic equation is probably despised as much as it is loved.
I want to show how thinking about turnover can help to address some of the issues with logistic growth, and why turnover in tumours may be more important than one might at first appreciate."
#MathOnco - Book of the month
The Book of Why:
The New Science of Cause and Effect
Judea Pearl: "Correlation is not causation. This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality--the study of cause and effect--on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been."
Jobs
Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
Postdoctoral Fellow in Mathematical Oncology (Russell Rockne)
Pre-leukemic Dynamics – MSc or PhD Studentship (Morgan Craig)
Quantitative Systems Pharmacology (QSP) Modeler - Cell Therapy (Dean Bottino)
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
Coronavirus Addendum
I suspect many of our readers are also interested in following the modeling updates behind Covid-19. Here's the two that I am aware of from our math oncology community:
Paul Macklin is leading one such effort in his recent preprint:
Jacob Scott is leading the effort behind:
I'd be curious to hear about more projects within our ranks, so email me any updates from your group.
The #MathOnco newsletter is maintained by Jeffrey West.
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