“This week in Mathematical Oncology” — July 18, 2024
> mathematical-oncology.org
From the editor:
This week’s issue contains articles on topics like ecological interactions, predictive modeling, CT DNA kinetics and more!
In other news, The IMO department here at Moffitt is excited to announce an Open Rank, Tenure-Track Faculty position. Please reach out to Department Chair, Sandy Anderson, for questions about the opportunity. Come join us!
Thanks,
Jeffrey West
jeffrey.west@moffitt.org
A modelling framework for cancer ecology and evolution
Frederick R. AdlerComputational model predicts patient outcomes in Luminal B breast cancer treated with endocrine therapy and CDK4/6 inhibition
Leonard Schmiester, Fara Brasó-Maristany, Blanca González-Farré, Tomas Pascual, …, Vessela N. Kristensen, Arnoldo Frigessi, Aleix Prat, Alvaro Köhn-LuqueAdvancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice
Alexander Kulesza, Claire Couty, Paul Lemarre, Craig J. Thalhauser & Yanguang CaoInvestigating Ecological Interactions in the Tumor Microenvironment Using Joint Species Distribution Models for Point Patterns
Joel Eliason, Arvind RaoMaking Predictions Using Poorly Identified Mathematical Models
Matthew J. Simpson & Oliver J. MaclarenLORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features
Tian-Gen Chang, Yingying Cao, Hannah J. Sfreddo, Saugato Rahman Dhruba, …, Seong-Keun Yoo, Diego Chowell, Luc G. T. Morris, Eytan Ruppin
Functional consequences of a p53-MDM2-p21 incoherent feedforward loop
Jamie A. Dean, Jose Reyes, Michael Tsabar, Ashwini Jambhekar, Galit Lahav, Franziska MichorEarly ctDNA kinetics as a dynamic biomarker of cancer treatment response
Aaron Li, Emil Lou, Kevin Leder, Jasmine Foo
Is There a Mathematician on Board?
Elana J. FertigFields Institute, August 19-23, 2024
Organizers: Andrea Bild, Mark Chaplain, Mohit Kumar Jolly, Olaf Wolkenhauer
Plenary Talks:Raluca Eftimie (Université de Franche-Comté)
Kasia Rejniak (H. Lee Moffitt Cancer Center & Research Institute)
Nikolaos Sfakianakis (University of St Andrews)
Angélique Stéphanou (Université Grenoble Alpes)
Marc Sturrock (Royal College of Surgeons Ireland, University of Medicine and Health Sciences)
Paul Macklin (University of Indiana)
Click here to read the full list of abstracts & talk titles.
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. This week’s artwork:
Based on the paper: A Genuinely Hybrid, Multiscale 3D Cancer Invasion and Metastasis Modelling Framework published in the Bulletin of Mathematical Biology
Artist: Mark Chaplain (@mcapellanus), Nikos Sfakianakis, Dimitris Katsaounis, Nicholas Harbour, Thomas Williams
Caption: Mathematical modelling has the potential to be a powerful tool in predicting cancer invasion and metastatic spread. A particularly challenging aspect of cancer invasion lies in the understanding of the intricate interplay between epithelial and mesenchymal phenotypes, which can greatly influence tumour progression and response to therapy. We have developed a hybrid 3D model which we hope can form the basis of a computational platform which has the ability to estimate quantitatively both the extent of the local spread of the primary cancer and the number and extent of secondary metastatic growths. The image shows an invading primary tumour where epithelial cancer cells (yellow regions) undergo an epithelial-mesenchymal-transition (EMT) to produce individual mesenchymal cancer cells (shown in red). These mesenchymal cells have the ability to invade the local tissue and then begin to undergo the reverse transition (mesenchymal-epithelial) forming isolated “cancer islands” which are the sources of subsequent metastatic spread.
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.
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