#MathOnco Issue 134: cancer ecology, metastatic bottleneck, a review on model construction, checkpoint inhibitors, and more.
This week in
Math Oncology
Oct. 8, 2020 ~ Issue 134
From the editor
Dear readers,
Today's issue contains articles on topics like cancer ecology, metastatic bottleneck, a review on model construction, checkpoint inhibitors, and more.
Enjoy,
-Jeffrey West
#MathOnco Publications
How Should Cancer Models Be Constructed?
Authors: Robert A. Beckman, Irina Kareva, Frederick R. Adler
Cancer Community Ecology
Authors: Burt P. Kotler, Joel S. Brown
On the Role of the Objective in the Optimization of Compartmental Models for Biomedical Therapies
Authors: Urszula Ledzewicz, Heinz Schättler
An Analysis of the Dynamics of a Cancerous Tumour Model with Targeted Chemotherapy
Authors: Anusmita Das, Ranu Paul, Kaushik Dehingia, Hemanta Kumar Sarmah
Noninvasive Early Identification of Therapeutic Benefit from Immune Checkpoint Inhibition
Authors: Barzin Y. Nabe, Mohammad S. Esfahan, Everett J. Moding, Emily G. Hamilton, ..., Aaron M. Newman, Matthew D. Hellmann, Ash A. Alizadeh, Maximilian Diehn
A mathematical model of the metastatic bottleneck predicts patient outcome and response to cancer treatment
Authors: Ewa Szczurek,Tyll Krüger,Barbara Klink,Niko Beerenwinkel
Mathematical model predicts response to chemotherapy in advanced non-resectable non-small cell lung cancer patients treated with platinum-based doublet
Authors: Emilia Kozłowska, Rafał Suwiński, Monika Giglok, Andrzej Świerniak, Marek Kimmel
Origins and Consequences of Chromosomal Instability: From Cellular Adaptation to Genome Chaos-Mediated System Survival
Authors: Christine J. Ye, Zachary Sharpe, Henry H. Heng
The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution
Authors: Alexej Ballhausen, Moritz Jakob Przybilla, Michael Jendrusch, Saskia Haupt, ..., Axel Benner, Angelika Beate Riemer, Magnus von Knebel Doeberitz, Matthias Kloor
#MathOnco Preprints
Integrative analysis of multi-omics data improves model predictions: an application to lung cancer
Authors: Erica Ponzi, Magne Thoresen, Therese Haugdahl Nøst, Kajsa Møllersen
Herding an evolving biological population with quantum control tools
Nature Physics | News & Views
Daniel M. Weinreich: "Populations of organisms can be regarded as clouds of genetic variants evolving passively in response to mutation and natural selection. Counterdiabatic driving — a tool borrowed from quantum control — now offers the possibility of actively controlling both the rate and route followed by an evolving population."
Mathematical model of colorectal cancer initiation
The Mathematical Oncology Blog: Behind the Paper
Ivana Bozic: "The seed of the idea for the paper was planted in 2016, during my visit to the Hubrecht Institute in Utrecht, Netherlands. I met with Hans Clevers, who told me that they recently measured the rate of accumulation of mutations in human tissues using organoids derived from healthy donor stem cells. We both agreed that it would be very interesting to use that measured in vivo mutation rate in a mathematical model of colorectal tumor evolution. "
Special Issue:
From Ecology to Cancer Biology and Back Again
Guest Editors: Fred Adler, Sarah Amend, Chris Whelan
Announcement: "Cancer biologists have the advantage of being able to measure, in exquisite detail, the genetic and protein structure of individual cells and analyze with the full range of tools of bioinformatics. Ecologists generally lack the resources and tools to measure individuals with this resolution, but have the advantage of being able to visit and manipulate their living field site and have thus developed a set of experimental and modeling tools for understanding complex dynamics that far exceed those in cancer biology. These complementary skills point the way to a synthesis of ways to understand the complex ecology of self-organized systems, and this Research Topic will be a chance for ecologists to take the lead in creating this synthesis and open new doors for unified ecological thinking."
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
Moffitt's Integrated Mathematical Oncology Dept. Series
Mathematical Oncology Series
1. 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
3. Dr. Hermann Frieboes
"Modulation of Immune Response to Cancer via Nanotherapy: An Integrated Experimental/Mathematical Modeling Perspective"
Dec 10, 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
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)
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)
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