#MathOnco Issue 16: spatial heterogeneity, mutualism diversity, multiple games evolutionary dynamics, co-evolving networks, adaptive oncogenesis
This week in
Mathematical Oncology
April 25, 2018 ~ Issue 16
From the editor
This week I've included several long-form articles on topics not directly in the math oncology field, but closely related: evolutionary dynamics of multiple games, a unifying framework for mutualism diversity metrics, and co-evolving network models. Otherwise, you'll find cancer models in spatial heterogeneity, invasiveness, and more.
I'd also direct your attention to the book at the end of the email, Adaptive Oncogenesis. The book reads like a historical novel of the evolutionary history of cancer and packs a scientific punch that I know will be of interest to our readership. I'm currently reading through it myself and look forward to discussions that may ensue if you decide to join in reading.
-Jeffrey West
#MathOnco Publications
What fundamental questions in cancer would most benefit from math, engineering, and AI?
Authors: Matthew Meyerson, Nuria Lopez-Bigas, Nicholas Navin , Andrew Feinberg , Kornelia Polyak , Robert A. Weinberg
Spatial Heterogeneity and Evolutionary Dynamics Modulate Time to Recurrence in Continuous and Adaptive Cancer Therapies
Authors: Jill Gallaher, Pedro Enriquez-Navas, Kimberly Luddy, Robert Gatenby and Alexander Anderson
Fractionated follow-up chemotherapy delays the onset of resistance in bone metastatic prostate cancer
Authors: Pranav Warman, Artem Kaznatcheev, Arturo Araujo, Conor Lynch, David Basanta
In silico cancer research towards 3R
Authors: Claire Jean-Quartier, Fleur Jeanquartier, Igor Jurisica, Andreas Holzinger
Role of the interplay between the internal and external conditions in invasive behavior of tumors
Authors: Youness Azimzade, Abbas Ali Saberi, Muhammad Sahmi
Precision medicine with imprecise therapy: computational modeling for chemotherapy in breast cancer
Authors: Matthew T. McKenna, Jared A. Weis, Amy Brock, Vito Quaranta, Thomas E. Yankeelov
#MathOnco Preprints
Locoregional radiogenomic models capture gene expression heterogeneity in glioblastoma
Authors: Adrien Depeursinge, Tunde Szilagyi, Yan Liu, Kazmer Kovacs, ..., Olivier Gevaert
Identification of co-evolving temporal networks
Authors: Rasha Elhesha, Aisharjya Sarkar, Christina Boucher, Tamer Kahveci
Evolutionary dynamics of multiple games
Authors: Vandana Revathi Venkateswaran, Chaitanya S. Gokhale
Unifying mutualism diversity for interpretation and prediction
Authors: Feilun Wu, Allison Lopatkin, Daniel Needs, Charlotte Lee, Sayan Mukherjee, Lingchong You
#MathOnco News
Math can help uncover cancer's secrets (TED Talk)
Irina Kareva: "The power and beauty of mathematical modeling lies in the fact that it makes you formalize, in a very rigorous way, what we think we know. It can help guide us to where we should keep looking, and where there may be a dead end."
#MathOnco Books
Adaptive Oncogenesis:
James DeGregori's new cell biology book "...corrects the fundamental attribution error that has focused cancer research on malignant cells and their genes. Adaptive oncogenesis, or ‘EcoOncogenesis,’ shows that the ecosystems surrounding cells are equally important, responsible for creating selection forces that speed or slow the evolution of cancer. "
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