#MathOnco Issue 41: evolution of normal tissue; nonlinear optimization of Norton-Simon; game theory & agent-based models
This week in
Mathematical Oncology
Oct. 25, 2018 ~ Issue 41
From the editor
Happy Thursday readers!
I spent much of the weekend enjoying the pleasantly well-written (and intimidatingly massive at over 500 pages) Zimmer book (linked below). So far, it has chronicled the interesting trajectory of the word "heredity" from the exclusively royal usage of inheriting a throne, to the Spanish doctor Luis Mercado who published "De morbis hereditariis - On hereditary diseases" - the first book dedicated to the subject of inheritance in disease likelihood.
In the scientific community, there has been much interest of late in somatic evolution of normal tissues, so I've included a few of the recent papers below. In addition to that, I've included a few optimal/nonlinear modelling approaches to the Norton-Simon hypothesis.
Enjoy,
-Jeffrey West
#MathOnco Publications
From Colitis to Cancer: An Evolutionary Trajectory That Merges Maths and Biology
Authors: Ibrahim Al Bakir, Kit Curtius and Trevor A. Graham
Optimal control problems for the Gompertz model under the Norton-Simon hypothesis in chemotherapy
Authors: Luis A. Fernandez and Cecilia Pola
Evolutionary game theory using agent-based methods
Authors: Christoph Adami, Jory Schossau, Arend Hintze
Population dynamics of normal human blood inferred from somatic mutations
Authors: Henry Lee-Six, Nina Friesgaard Øbro, Mairi S. Shepherd, Sebastian Grossmann, ..., David G. Kent & Peter J. Campbell
Somatic mutant clones colonize the human esophagus with age
Authors: Iñigo Martincorena, Joanna C. Fowler, Agnieszka Wabik, Andrew R. J. Lawson, ..., Kourosh Saeb-Parsy, Philip H. Jones
#MathOnco Preprints
Nonlinear cancer chemotherapy: modelling the Norton-Simon hypothesis
Authors: Álvaro G. López, Kelly C. Iarosz, Antonio M. Batista, Jesús M. Seoane, Ricardo L. Viana, Miguel A. F. Sanjuán
Fixation probability and fixation time in structured populations
Authors: Josef Tkadlec, Andreas Pavlogiannis, Krishnendu Chatterjee, Martin A. Nowak
A comprehensive analysis of RNA sequences reveals macroscopic somatic clonal expansion across normal tissues
Authors: Keren Yizhak, Francois Aguet, Jaegil Kim, Julian Hess, Kirsten Kubler, ..., Kristin Ardlie, Gad Getz
#MathOnco News
Researchers Explore a Cancer Paradox
Author: “Dr. Martincorena and his colleagues found that new mutations arose more slowly in the esophagus than in skin. But once those mutations emerged, they caused the esophageal cells to multiply faster than normal esophageal cells. Over time, these rogue cells spread out across the esophagus, forming colonies of mutant cells, known as clones. Although these clones aren’t cancer, they do exhibit one of cancer’s hallmarks: rapid growth. These mutant clones colonize more than half of your esophagus by middle age,” said Dr. Martincorena. “It was eye-opening for me.” Dr. Martincorena and his colleagues reported their findings on Thursday in the journal Science.”
#MathOnco - Book of the month
She Has Her Mother's Laugh:
The Powers, Perversions, and Potential of Heredity
Zimmer: "I feel like heredity is something that is incredibly important in our lives. I sort of wanted to explore the role that heredity has in our lives, and also talk about what science can actually tell us about what heredity really is." In his book, Zimmer convincingly puts forth the complications of heredity; it is an intricate web spun from the threads of genetics and environmental factors. Find a review of the book here.
Most clicked links of September
Mathematical modeling predicts response to chemotherapy and drug combinations in ovarian cancer
Topography of cancer-associated immune cells in human solid tumors
Game Theoretical Model of Cancer Dynamics with Four Cell Phenotypes
Jobs
Do you see something we missed? Reply to this email to send us an idea for next week's issue.
The #MathOnco newsletter is maintained by @jeffreyjizzle. If you were forwarded this email, subscribe for free here to get it delivered every week.