#MathOnco Issue 139: tumor vasculature, blood cancer heterogeneity, the tragedy of the commons in cancer, multidrug resistance
This week in
Math Oncology
Nov. 13, 2020 ~ Issue 139
From the editor
Happy Friday!
Today's issue contains articles on tumor vasculature, blood cancer heterogeneity, the tragedy of the commons in cancer, and some non-cancer multidrug resistance work, as well.
Reminder: Monday is the deadline to submit an abstract for the (virtual) conference on Cancer Adaptive Therapy Models (http://catmo2020.org/). More details below.
Enjoy,
-Jeffrey West
#MathOnco Publications
Abnormal morphology biases hematocrit distribution in tumor vasculature and contributes to heterogeneity in tissue oxygenation
Authors: Miguel O. Bernabeu, Jakub Köry, James A. Grogan, Bostjan Markelc, ..., Joe M. Pitt-Francis, Ruth J. Muschel, Tomás Alarcón, Helen M. Byrne
Dynamics of competing heterogeneous clones in blood cancers explains multiple observations - a mathematical modeling approach
Authors: Katrine O. Bangsgaard, Morten Andersen, Vibe Skov, Lasse Kjær, Hans C. Hasselbalch, Johnny T. Ottesen
A Mechanistic Investigation into Ischemia-Driven Distal Recurrence of Glioblastoma
Authors: Lee Curtin, Andrea Hawkins-Daarud, Alyx B. Porter, Kristoffer G. van der Zee, Markus R. Owen, Kristin R. Swanson
Flux variability analysis reveals a tragedy of commons in cancer cells
Authors: Yazdan Asgari, Pegah Khosravi
Engineering in Medicine To Address the Challenge of Cancer Drug Resistance: From Micro- and Nanotechnologies to Computational and Mathematical Modeling
Authors: Yazdan Asgari, Pegah Khosravi Morgan Craig, Adrianne L. Jenner, Bumseok Namgung, Luke P. Lee, Aaron Goldman
#MathOnco Preprints
Overcoming Resistance to BRAFV600E Inhibition in Melanoma by Deciphering and Targeting Personalized Protein Network Alterations
Authors: Swetha Vasudevan, Efrat Flashner-Abramson, Ibukun Adejumobi, Daniella Vilencki, Shira Stefansky, Ariel M. Rubinstein, Nataly Kravchenko-Balasha
Price equation captures the role of drug interactions and collateral effects in the evolution of multidrug resistance
Authors: Erida Gjini, Kevin B Wood
Simulating trajectories and phylogenies from population dynamics models with TiPS
Authors: Gonche Danesh, Emma Saulnier, Olivier Gascuel, Marc Choisy, Samuel Alizon
Points, patterns and pathology
blog.mathematical-oncology.com
Joshua A. Bull: "Describing where immune cells are located within a tumour is important for many reasons. Taking macrophages as an example, whether they are located mostly within the tumour or in associated stroma correlates with patient prognosis in a wide range of tumours. Immune cell localisation is particularly important when it comes to immunotherapies, whose success may depend on where immune cells are concentrated. Fortunately, pathology is becoming increasingly digitised. As slide scanning becomes more widespread, this creates an opportunity to use computer vision algorithms to analyse extremely high-resolution images. Many algorithms have been designed to find positively stained cells from immunohistochemistry (IHC) images. While this is not a trivial task, image analysis is becoming more accessible to non-coders (including via open source software such as QuPath) and the performance of cell identification algorithms is constantly improving."
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. 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."
- 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: Research Fellow in Computational Systems Biology Cancer Research (Simon Mitchell)
NEW: Research Fellow in Laboratory and Computational Systems Biology Cancer Research (Simon Mitchell)
Postdoctoral Fellow in Cancer Resistance Modeling, Pfizer (Blerta Shtylla)
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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