#MathOnco Issue 111: androgen deprivation therapy, invasive ecosystem cooperation, the DCIS microenvironment, and phenotypic switching.
This week in
Math Oncology
Apr. 16, 2020 ~ Issue 111
From the editor
Hello!
This week in math oncology brought us articles on androgen deprivation therapy, invasive ecosystem cooperation, the DCIS microenvironment, and phenotypic switching.
Enjoy!
-Jeffrey West
#MathOnco Publications
Prostate-specific antigen dynamics predict individual responses to intermittent androgen deprivation
Authors: Renee Brady-Nicholls, John D. Nagy, Travis A. Gerke, Tian Zhang, Andrew Z. Wang, Jingsong Zhang, Robert A. Gatenby, Heiko Enderling
Cancer Cells and M2 Macrophages: Cooperative Invasive Ecosystem Engineers
Authors: Kayla V. Myers, Kenneth J. Pienta, Sarah R. Amend
Mathematical and Systems Medicine Approaches to Resistance Evolution and Prevention in Cancer
Authors: Natalia L. Komarova, Dominik Wodarz
#MathOnco Preprints
PhyDOSE: Design of Follow-up Single-cell Sequencing Experiments of Tumors
Authors: Leah Weber, Nuraini Aguse, Nicholas Chia, Mohammed El-Kebir
The Harsh Microenvironment in Early Breast Cancer Selects for a Warburg Phenotype
Authors: Mehdi Damaghi, Jeffrey West, Mark Robertson-Tessi, Liping Xu, ..., Robert Gatenby, Peter A Sims, Alexander R Anderson, Robert J Gillies
Phenotypic switching and adaptive strategies of cancer cells in response to stress: insights from live cell imaging and mathematical modeling
Authors: Arin Nam, Atish Mohanty, Supriyo Bhattacharya, Sourabh Kotnala, ..., Herbert Levine, Mohit Kumar Jolly, Prakash Kulkarni, Ravi Salgia
Descriptive and prognostic value of a computational model of metastasis in high-risk neuroblastoma
Authors: Sebastien Benzekry, Coline Sentis, Carole Coze, Laetitia Tessonnier, Nicolas Andre
Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations
Authors: Bethan Morris, Lee Curtin, Andrea Hawkins-Daarud, Matthew E. Hubbard, ..., Kris A. Smith, Ashley Stokes, Kristin R. Swanson, Markus R. Owen
ClonArch: Visualizing the Spatial Clonal Architecture of Tumors
Authors: Jiaqi Wu, Mohammed El-Kebir
Cancer Researchers Use Evolution to Target Drug Resistance
TheScientist.com
Catherine Offord: "Just assume resistance from the start. If you do that, and you change your mindset that way, then how would you design drugs? ... [Rossanese] notes that evolution-stalling therapies would probably be used in conjunction with more-traditional approaches. Even for a patient who already has high tumor heterogeneity, 'a lot of times, a primary therapy is going to take out 99 percent of the cancer cells, and that 1 percent that’s left is going to have to adapt its new condition,” she says. “We’re trying to hobble those remaining cells as much as possible.'"
Employing a Standard in Predictive Model Development
The Mathematical Oncology Blog Renee Brady-Nicholls: "As the field of mathematical oncology continues to grow, so does the number of models aimed at predicting novel, potentially optimal, therapy. However, for the sake of patients who may potentially receive mathematically informed treatments one day, it is important that we undergo proper model development practices to ensure that our models have been appropriately trained and validated prior to offering treatment predictions. More importantly, it is imperative that we recognize the limitations of our models and are able to identify those that are truly predictive and those that are not."
#MathOnco - Book of the month
The Book of Why:
The New Science of Cause and Effect
Judea Pearl: "Correlation is not causation. This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality--the study of cause and effect--on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been."
Jobs
Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
Postdoctoral Fellow in Mathematical Oncology (Russell Rockne)
Pre-leukemic Dynamics – MSc or PhD Studentship (Morgan Craig)
Quantitative Systems Pharmacology (QSP) Modeler - Cell Therapy (Dean Bottino)
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.
The #MathOnco newsletter is maintained by Jeffrey West.
If you were forwarded this email, subscribe for free here to get it delivered every week.