#MathOnco Issue 128: tumor spheroids, evolutionary control, glioblastoma, convergent evolution, and more.
This week in
Math Oncology
Aug 27, 2020 ~ Issue 128
From the editor
Dear readers,
I enjoyed meeting so many of you during the virtual SMB conference! I learned a lot, and was excited to see highlights in math oncology from all over the world.
Today's issue includes the following topics: tumor spheroids, evolutionary control, glioblastoma, convergent evolution, and more.
Enjoy,
-Jeffrey West
#MathOnco Publications
ERK and Akt exhibit distinct signaling responses following stimulation by pro-angiogenic factors
Authors: Min Song, Stacey D. Finley
Mathematical modelling reveals cellular dynamics within tumour spheroids
Authors: Joshua A. Bull, Franziska Mech, Tom Quaiser, Sarah L. Waters, Helen M. Byrne
Size-dependent patterns of cell proliferation and migration in freely-expanding epithelia
Authors: Matthew A Heinrich, Ricard Alert, Julienne M LaChance, Tom J Zajdel, Andrej Košmrlj, Daniel J Cohen
Controlling the speed and trajectory of evolution with counterdiabatic driving
Authors: Shamreen Iram, Emily Dolson, Joshua Chiel, Julia Pelesko, Nikhil Krishnan, Özenç Güngör, Benjamin Kuznets-Speck, Sebastian Deffner, Efe Ilker, Jacob G. Scott & Michael Hinczewski
Evidence for hypoxia increasing the tempo of evolution in glioblastoma
Authors: David Robert Grimes, Marnix Jansen, Robert J. Macauley, Jacob G. Scott & David Basanta
#MathOnco Preprints
A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors
Authors: Juan Jiménez-Sánchez, Alvaro Martínez-Rubio, Anton Popov, Julián Pérez-Beteta, Youness Azimzade, David Molina-García, Juan Belmonte-Beitia, Gabriel F Calvo, Víctor M Pérez-García
Convergent mutations in tissue-specific regulatory regions reveal novel cancer drivers
Authors: Nasa Sinnott-Armstrong, Jose A. Seoane, Jonathan K. Pritchard, Christina Curtis, Michael P. Snyder
Solving Breast Cancer with Math
More Than Pink Podcast
"Dr. Yankeelov is a Computational Oncologist at the University of Texas where he and his team are working to solve the breast cancer equation. You won't believe how it works - solving for X has never been more exciting!"
Special Issue:
"Mathematical Models of Cellular Immunotherapies in Cancer"
Announcement:In this Special Issue, we plan to address cellular therapies from a mathematical and computational modeling perspective. Mathematical modeling has the potential to help in finding optimal administration protocols, provide a deeper understanding of the mechanisms and dynamics, help in the design of new clinical trials, and more. Despite the immense potential of these treatments, applied mathematicians and computational modelers have started to study these processes only very recently.
Guest Editors:
Víctor Pérez-García, Lisette de Pillis, Philipp Altrock, Russell Rockne
#MathOnco - Book of the month
The Cheating Cell
Athena Aktipis: "When we think of the forces driving cancer, we don’t necessarily think of evolution. But evolution and cancer are closely linked, for the historical processes that created life also created cancer. The Cheating Cell delves into this extraordinary relationship, and shows that by understanding cancer’s evolutionary origins, researchers can come up with more effective, revolutionary treatments."
Jobs
Postdoctoral Research Position in Computational Immunology (Sylvain Cussat-Blanc)
Postdoc Position - TKI treatments in lung cancer (David Basanta)
Research Associate, Postdoc, and Research Faculty positions – Mathematical Oncology (Russ Rockne)
Systems Biology Modeler Positions in Biopharma Consulting Company (Helen Moore)
Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
Do you see something we missed? Reply to this email to send us an idea for next week's issue.
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