This week in Math Onco 150
Adaptive therapy; stem cells; cell-cell communication; phase planes; cellular modeling framework
“This week in Mathematical Oncology” — Newsletter
Feb. 18, 2021
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jeffrey.west@moffitt.org
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From the editor:
Summary of contents:
Adaptive therapy in
melanoma
Bone metastasis in
prostate cancer
Cancer
stem cells
Cell-cell
communication
Mathematical phase planes featured on the
cover image
of Cancer Research (for the
first time
?)
Rigid body cellular modeling framework, complete with simulation producing
mesmerizing results
A new
postdoc offer
on cancer/immune modeling and machine learning from Eduardo Sontag (March 15 deadline)
… and more!
Enjoy,
-Jeffrey West
Adaptive Therapy for Metastatic Melanoma: Predictions from Patient Calibrated Mathematical Models
Eunjung Kim, Joel S. Brown, Zeynep Eroglu, Alexander R.A. AndersonQuantification and Optimization of Standard-of-Care Therapy to Delay the Emergence of Resistant Bone Metastatic Prostate Cancer
Arturo Araujo, Leah M. Cook, Jeremy S. Frieling, Winston Tan, …, Jasreman Dhillon, Julio Pow-Sang, Conor C. Lynch, David BasantaFixation probabilities in evolutionary dynamics under weak selection
Alex McAvoy, Benjamin AllenDual-Target CAR-Ts with On- and Off-Tumour Activity May Override Immune Suppression in Solid Cancers: A Mathematical Proof of Concept
Odelaisy León-Triana, Antonio Pérez-Martínez, Manuel Ramírez-Orellana, Víctor M. Pérez-GarcíaAdaptive Therapy and the Cost of Drug-Resistant Mutants
Dominik WodarzUsing Evolutionary Trees for the Colorectal Cancer Prognosis Prediction
Hung-Yu Yan, Dun-Wei Cheng, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, Sun-Yuan HsiehGrowth of tumours with stem cells: The effect of crowding and ageing of cells
Luca Meacci, Mario Primicerio, Gustavo Carlos Buscaglia
A rigid body framework for multi-cellular modelling
Phillip J Brown, J.E.F Green, Benjamin J Binder, James Mark OsbornePatient-specific cell communication networks associate with disease progression in cancer
David L Gibbs, Boris Aguilar, Vésteinn Thorsson, Alexander V Ratushny, Ilya ShmulevichInitial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study
Corentin Martens, Laetitia Lebrun, Christine Decaestecker, Thomas Vandamme, …, Olivier Debeir, Serge Goldman, Isabelle Salmon, Gaetan Van SimaeysA fully automated approach for quality control of cancer mutations in the era of high-resolution whole genome sequencing
Jacob Househam, William C.H. Cross, Giulio CaravagnaClinically Validated Model Predicts the Effect of Intratumoral Heterogeneity on Overall Survival for Non-Small Cell Lung Cancer (NSCLC) Patients
Nima Ghaderi, Joseph H. Jung, David J. Odde, Jeffrey Peacock
1. Connected Papers partners with arXiv
Eddie Smolyansky: Starting last week, every paper page on arXiv.org will link to a graph of Connected Papers. The link can be found under the Related Papers tab in the section below the paper description.
2. Milestones in Genomic Sequencing
A timeline of 17 milestones in the past 20 years of genomic research.
3) Turnover Modulates the Need for a Cost of Resistance in Adaptive Therapy
See the cover & description below for the beautiful design (by Maximilian Strobl) of the most recent Cancer Research cover image:
“Adaptive cancer therapy aims to delay cancer progression by exploiting competition between drug-sensitive and -resistant cells in the tumor. Drug dosing is adapted in a patient-specific fashion to maintain drug-sensitive cells that competitively suppress resistance (blue). This is in contrast to standard-of-care cancer treatment regimens that maximize cell kill and thereby cause the rapid competitive release of drug-resistant cells (orange). But, when will adaptive therapy work? Shown is a collage of so-called “phase plane” visualizations of a mathematical model with which the authors address this question. Each triangle represents a different parameterization. It was found that resource availability, resistance fraction, resistance cost, and cellular turnover integrate to modulate intratumoral competition. For details, see
article by Strobl and colleagues on page 1135
.”
Atomic Habits:
An Easy & Proven Way to Build Good Habits & Break Bad Ones
James Clear: "If you're having trouble changing your habits, the problem isn't you. The problem is your system. Bad habits repeat themselves again and again not because you don't want to change, but because you have the wrong system for change. You do not rise to the level of your goals. You fall to the level of your systems. Here, you'll get a proven system that can take you to new heights."
Networks in Cancer: From Symmetry Breaking to Targeted Therapy
Guest Editor: Cristian Axenie, Roman Bauer, María Rodríguez MartínezUnderstanding 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
NEW: Postdoc on cancer/immune modeling and machine learning (Eduardo Sontag)
Research Fellow on modelling the dynamics of the vasculature (Fabian Spill)
Research Fellow Systems-Mechanobiology of Health and Disease (Fabian Spill)
Early Stage Researcher: Evolutionary therapy in ovarian cancer (Ben Werner)
Postdoc in Statistics & Mathematics for Personalized Breast Cancer Therapy (Alvaro Köhn-Luque)
Mathematical Modeling Expert in Oncology Translational Science (Boehringer Ingelheim)
Research Associate - Biostatistician (University of Manchester)
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)
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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