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This week in MathOnco 233
Patient-specific predictive models, adaptive algorithms, ecology & games in cancer, cancer hallmarks, and more.
“This week in Mathematical Oncology” — Nov. 10, 2022
From the editor:
Today we feature articles on patient-specific predictive models, adaptive algorithms, ecology & games in cancer, cancer hallmarks, and more.
I also added a link to a minisymposium organized by Guillermo Lorenzo et al on building predictive models of growth/response.
“If you want to know the future, look at the past.”
— A. Einstein
Patient-specific forecasting of post-radiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse
Guillermo Lorenzo, Nadiadi Muzio, Chiara Lucrezia Deantoni, Cesare Cozzarini, …, Francesco Montorsi, Víctor M. Pérez-García, Hector Gomez, Alessandro Reali
Progenitor Hierarchy of Chronic Myelomonocytic Leukemia Identifies Inflammatory Monocytic-Biased Trajectory Linked to Worse Outcomes
Meghan C. Ferrall-Fairbanks, Abhishek Dhawan, Brian Johnson, Hannah Newman, …, Jing Zhang, Rafael Bejar, Philipp M. Altrock, Eric Padron
The thin red line between the immune system and cancer evolution
Constantin N. Baxevanis, Maria Goulielmaki, Maria Adamaki, Sotirios P. Fortis
A quantitative characterization of the spatial distribution of brain metastases from breast cancer and respective molecular subtypes
Saeedeh Mahmoodifar, Dhiraj J. Pangal, Tyler Cardinal, David Craig, Thomas Simon, Ben Yi Tew, Wensha Yang, Eric Chang, Min Yu, Josh Neman, Jeremy Mason, Arthur Toga, Bodour Salhia, Gabriel Zada, Paul K. Newton
Single-cell genomic variation induced by mutational processes in cancer
Tyler Funnell, Ciara H. O’Flanagan, Marc J. Williams, Andrew McPherson, …, Jessica N. McAlpine, IMAXT Consortium, Sohrab P. Shah & Samuel Aparicio
Range-Bounded Adaptive Therapy in Metastatic Prostate Cancer
Renee Brady-Nicholls, Heiko Enderling
Programmable self-regulated molecular buffers for precise sustained drug delivery
Arnaud Desrosiers, Rabeb Mouna Derbali, Sami Hassine, Jérémie Berdugo, …, Céline Fiset, Luc DesGroseillers, Jeanne Leblond Chain, Alexis Vallée-Bélisle
Ecology and games in cancer: new insights into the disease
Claudia Manini Jose Ignacio Lopez
Inferring parameters of cancer evolution in chronic lymphocytic leukemia
Nathan D. Lee, Ivana Bozic
Phenomenological Approach to Cancer Cell Persistence
David A. Kessler, Herbert Levine
A Missing Hallmark of Cancer: Dysregulation of Differentiation
Zachary Compton, Kathleen Hanlon, Carolyn C. Compton, Athena Aktipis, Carlo C. Maley
Categorising update mechanisms for graph-structured metapopulations
Sedigheh Yagoobi, Nikhil Sharma, Arne Traulsen
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: “Simulations of tumor growth and response to immunotherapy by coupling a spatial agent-based model with a whole-patient quantitative systems pharmacology model” in PLOS Computational Biology
Artist: Alvaro Ruiz-Martinez, Chang Gong & Aleksander S. Popel
Caption: “We present a hybrid computational modeling platform, spQSP, to extend quantitative systems pharmacology (QSP) models of immuno-oncology by combining them with spatial agent-based models (ABM). We analyze the region at the edge of the tumor called the Invasive Front (IF) and apply the model to immunotherapy of triple-negative breast cancer. Here we show 3D profiles of CD8+ T cell densities. Central tumor in yellow, IF in red, and normal tissue in green. ”
"Data-informed computational models and methods for predicting tumor growth and treatment response"
Organized by Guillermo Lorenzo, Ryan Woodall, David A. Hormuth II, Michael R. A. Abdelmalik, Russell C. Rockne, Alessandro Reali, Thomas E. Yankeelov, Thomas J. R. Hughes. Abstract deadline: January 15, 2023.
Click here for abstraction submission instructions.
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