#MathOnco Issue 140: cancer adaptive therapy, persister cells, evolutionary trajectories, nonlinear reaction networks, cycling hypoxia
This week in
Math Oncology
Nov. 19, 2020 ~ Issue 140
From the editor
Dear readers,
Today's issue contains articles on cancer adaptive therapy, persister cells, evolutionary trajectories, nonlinear reaction networks, cycling hypoxia and more. Be sure to check our the new math onco blog post as well. Lastly, there are a few new excellent job opportunities below!
Enjoy,
-Jeffrey West
#MathOnco Publications
Turnover modulates the need for a cost of resistance in adaptive therapy
Authors: Maximilian A.R. Strobl, Jeffrey West, Yannick Viossat, Mehdi Damaghi, Mark Robertson-Tessi, Joel S Brown, Robert A Gatenby, Philip K Maini and Alexander R.A. Anderson
Persistent Cancer Cells: The Deadly Survivors
Authors: Shensi Shen, Stéphan Vagner, Caroline Robert
Targeting the Deterministic Evolutionary Trajectories of Clear Cell Renal Cell Carcinoma
Authors: Adam Kowalewski, Marek Zdrenka, Dariusz Grzanka, Łukasz Szylberg
Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data
Authors: Angela M. Jarrett, David A. HormuthII, Chengyue Wu, Anum S. Kazerouni, David A. Ekrut, John Virostko, Anna G. Sorace, Julie C. DiCarlo, Jeanne Kowalski, Debra Patt, Boone Goodgame, Sarah Avery, Thomas E. Yankeelov
Origin of exponential growth in nonlinear reaction networks
Authors: Wei-Hsiang Lin, Edo Kussell, Lai-Sang Young, Christine Jacobs-Wagner
Integrating quantitative assays with biologically-based mathematical modeling for predictive oncology
Authors: Anum S.Kazerouni, ManasaGadde, Andrea Gardner, David A.Hormuth II, Angela M.Jarrett, Kaitlyn E. Johnson, Ernesto A.B. F. Lima, Guillermo Lorenzo, Caleb Phillips, AmyBrock, Thomas E. Yankeelov
A Time Scales Approach for Modeling Intermittent Hormone Therapy for Prostate Cancer
Authors: Raegan Higgins, Casey J. Mills & Angela Peace
Androgen driven evolutionary population dynamics in prostate cancer growth
Authors: Ebraheem O. Alzahrani, Muhammad Altaf Khan
Do microenvironmental changes disrupt multicellular organisation with ageing, enacting and favouring the cancer cell phenotype?
Authors: Simon P. Castillo, Juan E. Keymer, Pablo A. Marquet
#MathOnco Preprints
Cycling hypoxia selects for constitutive HIF stabilization
Authors: Mariyah Pressley, Jill A. Gallaher, Joel S. Brown, Michal R. Tomaszewski, Punit Borad, Mehdi Damaghi, Robert J. Gillies, Christopher J. Whelan
Pairtree: fast reconstruction of cancer evolutionary history using pairwise mutation relationships
Authors: Jeff Wintersinger, Stephanie Dobson, John Dick, Quaid Morris
Ancestral lineages in mutation-selection equilibria with moving optimum
Authors: Florian Patout, Raphaël Forien, Jimmy Garnier
BioSimBoard: Aggregating new biological models
blog.mathematical-oncology.com
Louis Joslyn: "Searching through scientific literature for mathematical or computational models in biology is a difficult and at times frustrating process. As mathematical biologists, we often find ourselves at the cross-section of multiple fields and are asked to communicate results to mathematicians, engineers, immunologists, biologists, or statisticians. As such, our published models and their results are located within and across various journals and fields. In an effort to alleviate wasted time and effort to locate these models, I developed BioSimBoard, a model-aggregator that allows users to quickly identify the latest articles in model development and application."
Modeling Emergent Cellular Behavior in Cancer
Virtual Innovation Lab
HannaDueck: "Recent large-scale single-cell atlasing efforts have led to rich catalogues of cell types within tumors, but use of these data to predict emergent aggregate behavior in cancer has lagged behind. This five-day innovation lab will bring together diverse research and clinical communities to generate creative strategies and new research collaborations aimed at improving understanding, prediction, and validation of dynamic cell-cell communication and emergent behavior of cell ensembles in cancerous tissues. This Innovation Lab is intended to bring together experts to develop a roadmap for the direction of this research area. It is anticipated that this Innovation Lab will lead to interdisciplinary teams poised to advance scientific questions related to dynamic cell-cell communication and emergent cellular behavior. In addition to research projects, participants will have the opportunity to contribute to a white paper aimed at shaping the direction of this developing research area. The event will be held online, and will take place on February 25-26 & March 1-2, 5."
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
The Cancer Code: A Revolutionary New Understanding of a Medical Mystery
Jason Fung: "In The Cancer Code, Dr. Jason Fung offers a revolutionary new understanding of this invasive, often fatal disease—what it is, how it manifests, and why it is so challenging to treat. In this rousing narrative, Dr. Fung identifies the medical community’s many missteps in cancer research—in particular, its focus on genetics, or what he terms the “seed” of cancer, at the expense of examining the “soil,” or the conditions under which cancer flourishes. Dr. Fung—whose groundbreaking work in the treatment of obesity and diabetes has won him international acclaim—suggests that the primary disease pathway of cancer is caused by the dysregulation of insulin. In fact, obesity and type 2 diabetes significantly increase an individual’s risk of cancer."
Special Issues
"Mathematical Models of Cellular Immunotherapies in Cancer"
Guest Editors: V. Pérez-García, L. de Pillis, P. Altrock, R. RockneFrom 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: Mathematical Modeling Expert in Oncology Translational Science (Boehringer Ingelheim)
NEW: Research Associate - Biostatistician (University of Manchester)
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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