This week in MathOnco: 144
environmental/neighborhood effects in spheroids, eco-evo in cancer, PKPD combination therapy, evolutionary games, post-hypoxic invasion, and more.
“This week in Mathematical Oncology” — Newsletter
Jan. 7, 2021
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jeffrey.west@moffitt.org
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From the editor:
Happy New Year!
This week’s edition includes articles on environmental/neighborhood effects in spheroids, eco-evo in cancer, PKPD combination therapy, evolutionary games, post-hypoxic invasion, and more.
If you missed it last week: I highly recommend picking up a copy of “
Apollo’s Arrow
” — an engaging treatise on the public health implications of coronavirus (and pandemics more generally), complete with a nice overview of epidemiological models and intuition. Pick up your copy
here
.
-Jeffrey West
A quantitative analysis of the interplay of environment, neighborhood, and cell state in 3D spheroids
Vito Zanotelli, Matthias Leutenegger, Xiao‐Kang Lun, Fanny Georgi, Natalie de Souza, Bernd BodenmillerComputational modelling of modern cancer immunotherapy
Damijan Valentinuzzi, Robert JerajCellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy
Bo Yuan, Ciyue Shen, Augustin Luna, Anil Korkut, Debora S. Marks, John Ingraham, Chris SanderIdentifying key questions in the ecology and evolution of cancer
Antoine M. Dujon, Athena Aktipis, Catherine Alix‐Panabières, Sarah R. Amend, …, Kateřina Staňková, Holly Swain Ewald, Frédéric Thomas, Beata UjvariFighting microbial pathogens by integrating host ecosystem interactions and evolution
Alita R. Burmeister, Elsa Hansen, Jessica J. Cunningham, E. Hesper Rego, Paul E. Turner, Joshua S. Weitz, Michael E. HochbergDrug-resistant Cancer Treatment Strategies Based on the Dynamics of Clonal Evolution and PKPD Modeling of Drug Combinations
Vahideh Vakil, Wade Trappe
Coupled feedback loops involving PAGE4, EMT and Notch signaling can give rise to non-genetic heterogeneity in prostate cancer cells
Divyoj Singh, Federico Bocci, Prakash Kulkarni, Mohit Kumar JollyComputational model investigates the evolution of colonic crypts during Lynch syndrome carcinogenesis
Saskia Haupt, Nils Gleim, Aysel Ahadova, Hendrik Bläker, Magnus von Knebel Doeberitz, Matthias Kloor, Vincent HeuvelineUnderstanding the Evolutionary Games in NSCLC Microenvironment
Ranjini Bhattacharya, Robert Vander Velde, Viktoriya Marusyk, Bina Desai, Artem Kaznatcheev, Andriy Marusyk, David BasantaA persistent invasive phenotype in post-hypoxic tumor cells is revealed by novel fate-mapping and computational modeling
Heber L. Rocha, Inês Godet, Furkan Kurtoglu, John Metzcar, Kali Konstantinopoulos, Soumitra Bhoyar, Daniele M. Gilkes, Paul MacklinA Mechanistic Modeling Framework Reveals the Key Principles Underlying Tumor Metabolism
Shubham Tripathi, Jun Hyoung Park, Shivanand Pudakalakatti, Pratip K. Bhattacharya, Benny Abraham Kaipparettu, Herbert Levine
1. Evolutionary Therapy - Request for Application (RFA)
Anticancer Fund: Independent research fund focusing on cancer treatments
Knowledge about tumour evolutionary dynamics has been growing rapidly. However, there has been a limited translation of that knowledge into therapeutic trials. The most clinically advanced strategy is adaptive therapy. Adaptive therapy is a treatment strategy attempting to prolong response to treatment by delaying the emergence of resistance. The goal of adaptive therapy is to maintain a controllable stable tumour burden by allowing a significant population of treatment-sensitive cells to survive. The main principle of the intervention is to control the tumour and prolong survival by allowing on/off treatment periods based on a valid marker.
This RFA will accept clinical trials on adaptive therapy and any other evolutionarily informed strategy, as long as they meet all criteria (see eligibility criteria here).
2. Virtual Seminar: Mathematical and Computational Sciences Special Interest Group
January 11, 2021: Heiko Enderling, Ph.D., H. Lee Moffitt Cancer Center & Research Institute.
Title: Calibrated, Validated and Predictive Mathematical Models for Clinical Oncology (webinar link)
Jacob Scott: “There is just enough overlap between us all that we can speak freely and in our own scientific mother tongues, and enough separation that each is synergistic with the others. I feel incredibly honored to be able to host these young scientists and can't wait to see what science we're able to in Theory Division in 2021.”
Apollo's Arrow:
The Profound and Enduring Impact of Coronavirus on the Way We Live
N. Christakis: "Apollo's Arrow offers a riveting account of the impact of the coronavirus pandemic as it swept through American society in 2020, and of how the recovery will unfold in the coming years. Drawing on momentous (yet dimly remembered) historical epidemics, contemporary analyses, and cutting-edge research from a range of scientific disciplines, bestselling author, physician, sociologist, and public health expert Nicholas A. Christakis explores what it means to live in a time of plague — an experience that is paradoxically uncommon to the vast majority of humans who are alive, yet deeply fundamental to our species."
Understanding the Evolutionary Dynamics and Ecology of Cancer in Treatment Resistance
Guest Editor: David BasantaMathematical 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
Postdoc in Statistics & Mathematics for Personalized Breast Cancer Therapy (Alvaro Köhn-Luque)
PhD on Modelling Cell Life and Death (Dan Tennant/Fabian Spill)
Mathematical Modeling Expert in Oncology Translational Science (Boehringer Ingelheim)
Research Associate - Biostatistician (University of Manchester)
Research Fellow in Computational Systems Biology Cancer Research (Simon Mitchell)
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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