This week in MathOnco 189
Immunotherapy modeling, pancreatic cancer, radiotherapy scheduling, digital twins, and more
“This week in Mathematical Oncology” — Dec. 2, 2021
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mathematical-oncology.org
From the editor:
After taking last week off for the holidays, we’re back this week with an exciting collection on topics such as immunotherapy modeling, pancreatic cancer, radiotherapy scheduling, and digital twins. Also, if you’re looking for a job, check out
the webpage
for several open positions.
Enjoy!
Maxi Strobl
maximilian.strobl@moffitt.org
Tumour burden and efficacy of immune-checkpoint inhibitors
Filippo G. Dall’Olio, Aurélien Marabelle, Caroline Caramella, Camilo Garcia, Mihaela Aldea, Nathalie Chaput, Caroline Robert & Benjamin BesseThe economics of managing evolution
Troy Day, David A. Kennedy, Andrew F. Read, David McAdamsModeling the Pancreatic Cancer Microenvironment in Search of Control Targets
Daniel Plaugher, David MurrugarraA tipping point in cancer-immune dynamics leads to divergent immunotherapy responses and hampers biomarker discovery
Jeroen H A Creemers, Joost Lesterhuis, Niven Mehra, Winald R Gerritsen, Carl G Figdor, I Jolanda M de Vries, Johannes TextorIntermittent radiotherapy as alternative treatment for recurrent high grade glioma: a modeling study based on longitudinal tumor measurements
Sarah C. Brüningk, Jeffrey Peacock, Christopher J. Whelan, Renee Brady-Nicholls, Hsiang-Hsuan M. Yu, Solmaz Sahebjam, Heiko EnderlingDigital twins for predictive oncology will be a paradigm shift for precision cancer care
Tina Hernandez-Boussard, Paul Macklin, Emily J. Greenspan, Amy L. Gryshuk, Eric Stahlberg, Tanveer Syeda-Mahmood & Ilya Shmulevich
Tumor Hybrid Cells: Nature and Biological Significance
Maria S Tretyakova, Ayalur Raghu Subbalakshmi, Maxim E Menyailo, Mohit Kumar Jolly, Evgeny DenisovNatural selection of mutants that modify population structure
Josef Tkadlec, Kamran Kaveh, Krishnendu Chatterjee, Martin A. Nowak
The secret lives of cells — as never seen before
Nature News Feature
Diana Kwon: “Cutting-edge microscopy techniques are allowing researchers to spy on the innards of cells in all their crowded glory.”Aspiring to greater intellectual humility in science
Nature Human Behavior
Rink Hoekstra & Simine Vazire: “A less often mentioned aspect of credibility is the need for intellectual humility or being transparent about and owning the limitations of our work. Although intellectual humility is presented as a widely accepted scientific norm, we argue that current research practice does not incentivize intellectual humility. We provide a set of recommendations on how to increase intellectual humility in research articles and highlight the central role peer reviewers can play in incentivizing authors to foreground the flaws and uncertainty in their work, thus enabling full and transparent evaluation of the validity of research.”
The newsletter now has a dedicated homepage where we post the cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group.
Caption: Back (and) into the future. This image made the cover of Cancer Research in 2017 and combines in vitro and in silico demonstrations of phenotypic segregation in mixed metabolic phenotype spheroids driven by distinct environmental niches. As predicted by the model the phenotypes separated each into their favorite habitat with high glycolytic phenotypes (red) moving towards the edge, whilst low glycolytic phenotypes occupy the center (green). You can learn more about this work here. Today this image serves as the cover for the upcoming AACR special conference on evolutionary dynamics in carcinogenesis and response to therapy in sunny Tampa, Florida, from March 14-17, 2022. Abstracts are due on January 7th. We look forward to seeing you all there!
Created by: Mark Robertson-Tessi, Mehdi Demaghi, Alexander Anderson
Visit the mathematical oncology page to view jobs, meetings, and special issues. We will post new additions here, but the full list can found at mathematical-oncology.org.
1. Jobs
NEW: Research Fellow in Computational Cancer Biology (University College London) – Due: 9th January, 2022
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