#MathOnco Issue 137: cancer evolution, CAR-T cell therapy, adaptive cancer therapy, growth kinetics, antifragile therapy.
This week in
Math Oncology
Oct. 29, 2020 ~ Issue 137
From the editor
Dear readers,
Today's issue contains articles on cancer evolution, CAR-T cell therapy, adaptive cancer therapy, growth kinetics, cancer origins, and one of my own preprints on antifragile cancer therapy.
I also encourage you to take a look at the (virtual) conference on Cancer Adaptive Therapy Models (http://catmo2020.org/) we are organizing in early December. More details below.
There is also a new postdoctoral opportunity in the Jobs section, below.
Enjoy,
-Jeffrey West
#MathOnco Publications
Approaching Cancer Evolution from Different Angles
Authors: Francesca D.Ciccarelli, James DeGregori
The Intersection of Regional Anesthesia and Cancer Progression: A Theoretical Framework
Authors: Aaron R. Muncey, Sephalie Y. Patel, Christopher J. Whelan, Robert S. Ackerman, Robert A. Gatenby
CAR T cell therapy in B-cell acute lymphoblastic leukaemia: Insights from mathematical models
Authors: Odelaisy León-Triana, Soukaina Sabir, Gabriel F. Calvo, Juan Belmonte-Beitia, Salvador Chulián, Álvaro Martínez-Rubio, MaríaRosa, Antonio Pérez-Martínez, Manuel Ramirez-Orellana, Víctor M.Pérez-García
Cell Shape and Durotaxis Explained from Cell-Extracellular Matrix Forces and Focal Adhesion Dynamics
Authors: Elisabeth G. Rens, Roeland M.H. Merks
Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes
Authors: Yasunobu Nagata, Ran Zhao, Hassan Awada, Cassandra M Kerr, Inom Mirzaev, Sunisa Kongkiatkamon, Aziz Nazha, Hideki Makishima, Tomas Radivoyevitch, Jacob G Scott, Mikkael A. Sekeres, Brian P Hobbs, Jaroslaw P Maciejewski
Ten simple rules for biologists initiating a collaboration with computer scientists
Authors: Monika Cechova
Mutation bias can shape adaptation in large asexual populations experiencing clonal interference
Authors: Kevin Gomez, Jason Bertram, Joanna Masel
#MathOnco Preprints
Antifragile therapy
Authors: Jeffrey West, Maximilian Strobl, Cole Armagost, Richard Miles, Andriy Marusyk, Alexander R. A. Anderson
Modifying adaptive therapy to enhance competitive suppression
Authors: Elsa Hansen, Andrew F Read
Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics
Authors: Cristian Axenie, Daria Kurz
Attribution of Cancer Origins to Endogenous, Exogenous, and Actionable Mutational Processes
Authors: Vincent L Cannataro, Jeffrey D. Mandell, Jeffrey P. Townsend
Cancer Adaptive Therapy Models
Dec. 7th to 10th, 2020 (9-12 am, US Eastern / 3-6 pm European continental)
http://catmo2020.org/: "We are organizing an online workshop on Models of Adaptive Therapy. It will be held from 9-12 am, US Eastern / 3-6 pm European continental, in order to facilitate attendance by both Europeans and American researchers. Despite the ubiquity of the evolution of resistance, the “more is better'' paradigm prevails in standard of care approaches. Over the past decade, a small group of oncologists in collaboration with evolutionary and experimental biologists have proposed an adaptive approach to cancer treatment.
We aim at gathering the main groups that have been recently trying to model adaptive therapy using mathematics, or whose work could help to do so, in order to build a community, understand the state of the art, exchange on the directions the field should take, and foster collaborations. On top of regular talks and a poster session, time will be allowed for discussions. Both proponents of and opponents to adaptive therapy are welcome. In order to help participants to better understand the state of the art, speakers are encouraged to mention not only their work but also related studies by other researchers."
- Co-organized by: Robert Noble, Eunjung Kim, Sandy Anderson, David Basanta, Jeffrey West, Yannick Viossat
#MathOnco Virtual Seminars
Moffitt's Integrated Mathematical Oncology Dept. Series
Mathematical Oncology Series
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."
Special Issues
"Mathematical Models of Cellular Immunotherapies in Cancer"
Guest Editors: V. Pérez-García, L. de Pillis, P. Altrock, R. RockneLatest Developments in Mathematical Oncology and Cancer Systems Biology
Guest Editors: M. Kumar Jolly, H. EnderlingFrom Ecology to Cancer Biology and Back Again
Guest Editors: Fred Adler, Sarah Amend, Chris WhelanFrontiers in quantitative cancer modeling
Guest Editors: Mohit Kumar Jolly, Heiko Enderling
Jobs
NEW: Postdoctoral Fellow in Cancer Resistance Modeling, Pfizer (Blerta Shtylla)
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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