#MathOnco Issue 132: Goldilocks chemo, dose-dependent evolutionary games, fluid flow in tumors, polyploid nutrient deprivation.
This week in
Math Oncology
Sept 24, 2020 ~ Issue 132
From the editor
Dear readers,
Today's issue contains the search for Goldilocks chemo, dose-dependent evolutionary games, fluid flow in tumors, polyploid nutrient deprivation, and more. Also, there is a new job post below for a research fellow in systems biology.
Enjoy,
-Jeffrey West
#MathOnco Publications
Searching for Goldilocks: How evolution and ecology can help uncover more effective patient-specific chemotherapies
Authors: Derek S Park, Kimberly A Luddy, Mark Robertson-Tessi, Cliona O'Farrelly, Robert A Gatenby, Alexander R.A. Anderson
Integrating mathematical modeling with high throughput imaging explains how polyploid populations behave in nutrient-sparse environments
Authors: Gregory J. Kimmel, Mark Dane, Laura M. Heiser, Philipp M. Altrock, Noemi Andor
MAPK activity dynamics regulate non-cell autonomous effects of oncogene expression
Authors: Timothy J Aikin, Amy F Peterson, Michael J Pokrass, Helen R Clark, Sergi Regot
Dynamic Regulation of JAK-STAT Signaling Through the Prolactin Receptor Predicted by Computational Modeling
Authors: Ryland D. Mortlock, Senta K. Georgia, Stacey D. Finley
#MathOnco Preprints
Dose dependent evolutionary game dynamics modulate competitive release in cancer therapy
Authors: Nathan Farrokhian, Jeff Maltas, Patrick Ellsworth, Arda Durmaz, Mina Dinh, Masahiro Hitomi, Artem Kaznatcheev, Andriy Marusyk, Jacob G Scott
Macro-scale models for fluid flow in tumour tissues: impact of microstructure properties
Authors: Cristina Vaghi, Raphaelle Fanciullino, Sebastien Benzekry, Clair Poignard
A flux-limited model for glioma patterning with hypoxia-induced angiogenesis
Authors: Pawan Kumar, Christina Surulescu
Why Heterogeneity Matters for Mathematical Modelling
Morgan Craig and Isaac Yule: "...how can we take heterogeneity into account in mathematical models? Include too much information and we may find it difficult to parse out the mechanisms that control disease trajectories and therapeutic responses, but account for too few parameters and we may miss an entire portion of the population."
Writing a K99/R00 Grant · SBAmin.com
Samir Amin: "K99/R00: Pathway to Independence Award is a NIH funded grant mechanism for a postdoctoral fellow aiming to establish an independent research career following structured postdoctoral training. I have recently - June, 2020 cycle - applied K99/R00 grant. I wrote my experience as a guide that I hope prospective applicants would find resourceful. You can view the guide at https://k99.sbamin.com"
Special Issue:
Latest Developments in Mathematical Oncology and Cancer Systems Biology
Guest Editors: M. Kumar Jolly, H. Enderling
Announcement: Here, we invite investigators in the interdisciplinary field of mathematical oncology and cancer systems biology to contribute their latest research articles and/or review articles and perspectives on applying the different kinds of computational, mathematical, and statistical tools and techniques to applicable biological or clinical data to train such models to better elucidate the dynamics of tumor progression, to identify novel therapeutic schemas or targets, and to design more effective therapies.
Special Issue:
"Mathematical Models of Cellular Immunotherapies in Cancer"
Guest Editors: V. Pérez-García, L. de Pillis, P. Altrock, R. Rockne
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.
#MathOnco Virtual Seminars
ISoP MCS SIG Webinar Series
Next talk: Dr. Trachette Jackson, University of Michigan
"Mathematical Models of Targeted Cancer Therapeutics"
Register here.
Sep 24, 2020 11:00am US Eastern
Moffitt's Integrated Mathematical Oncology Dept. Series
Mathematical Oncology Series
1. Dr. Laura Heiser
"The molecular control of cancer-associated phenotypic states in mammary epithelial cells"
Sep 24, 2020 12:00pm US Eastern
2. Dr. Stacey Finley
"In silico control and optimization of Natural Killer Cell activation"
Oct 8, 2020 12:00 PM US Eastern
2. Dr. Arturo Aarujo
"Modelling cell division to understand clinical outcomes: Investigations in Oesophageal, Colon and Prostate to Bone Metastasis"
Oct 15, 2020 12:00pm US Eastern
#MathOnco - Featured Book
Rebel Cell: Cancer, Evolution, and the New Science of Life's Oldest Betrayal
Kat Arney: "Cancer exists in nearly every animal and has afflicted humans as long as our species has walked the earth. In Rebel Cell: Cancer, Evolution, and the New Science of Life's Oldest Betrayal, Kat Arney reveals the secrets of our most formidable medical enemy, most notably the fact that it isn’t so much a foreign invader as a double agent: cancer is hardwired into the fundamental processes of life. New evidence shows that this disease is the result of the same evolutionary changes that allowed us to thrive. Evolution helped us outsmart our environment, and it helps cancer outsmart its environment as well—alas, that environment is us."
Jobs
NEW: Research Fellow in Systems Biology Cancer Research (Simon Mitchell)
Principal Scientist – Oncology PK/PD Modelling (Boehringer Ingelheim)
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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