This week in MathOnco 288
ctDNA, phenotypic switching, agent-based modeling, ECM
“This week in Mathematical Oncology” — March 14, 2024
> mathematical-oncology.org
From the editor:
This week’s edition features ctDNA, phenotypic switching, agent-based modeling, ECM, and more… Be sure to also check out this week’s artwork from Sadegh Marzban, a postdoc in my group!
By the way, the Fields Institute is hosting a “Thematic Program on Mathematical Oncology” this year: check it out, here.
Thanks,
Jeffrey West
jeffrey.west@moffitt.org
Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties
Maisa N. G. van Genderen, Jeroen Kneppers, Anniek Zaalberg, Elise M. Bekers, Andries M. Bergman, Wilbert Zwart & Federica EduatiPrediction of plasma ctDNA fraction and prognostic implications of liquid biopsy in advanced prostate cancer
Nicolette M. Fonseca, Corinne Maurice-Dror, Cameron Herberts, Wilson Tu, …, Daniel J. Khalaf, Matti Annala, Kim N. Chi & Alexander W. WyattModeling the extracellular matrix in cell migration and morphogenesis: a guide for the curious biologist
Rebecca M. Crossley, Samuel Johnson, Erika Tsingos, Zoe Bell, Massimiliano Berardi, Margherita Botticelli, Quirine J. S. Braat, John Metzcar, Marco Ruscone, Yuan Yin, Robyn ShuttleworthA Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model
G. Lorenzo, J.S. Heiselman, M.A. Liss, M.I. Miga, H. Gomez, T.E. Yankeelov, A. Reali, T.J.R. HughesTumor containment: a more general mathematical analysis
Frank Ernesto Alvarez & Yannick ViossatPhenotypic Switching as a Non-genetic Mechanism of Resistance Predicts Antibody Therapy Regimens
Jiawei Zhou, Can Liu, Yu Tang, Zhongbo Li, Yanguang CaoShaping the future of precision oncology: Integrating circadian medicine and mathematical models for personalized cancer treatment
Janina Hesse, Nina Nelson, Angela Relógio
Deciphering Oxygen Distribution and Hypoxia Profiles in the Tumor Microenvironment: A Data-Driven Mechanistic Modeling Approach
P. Kumar, M. Lacroix, P. Dupré, J. Arslan, L. Fenou, B. Orsetti, L. Le Cam, D. Racoceanu, O. RadulescuVisualizing the Spatio-Temporal Dynamics of Clonal Evolution with LinG3D software
Anjun Hu, Awino Maureiq E. Ojwang’, Kayode D. Olumoyin, Katarzyna A. RejniakIntegrating mechanism-based T cell phenotypes into a model of tumor-immune cell interactions
Neel Tangella, Colin G. Cess, Geena V. Ildefonso, Stacey D. Finley
Thematic Program on Mathematical Oncology
July 1 - December 31, 2024
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: Spatial interactions modulate tumor growth and immune infiltration, on BioRxiv.
Artist: Sadegh Marzban (@S_Marzban)
Caption: “Exploring the collagen canvas: insights into tumor microenvironment. Our artwork, based on data from second harmonic generation imaging of late stage Head and Neck Squamous Cell Carcinomas (HNSCC). The data is pixelated and the movement of each pixel demonstrates the dynamic interplay of collagen (pink), T cells (green), and tumor cells (blue). Collagen orientation dictates T-cell migration, influencing their infiltration into the tumor. Each circle portrays collagen, T cells, and tumors, with brightness reflecting their density. Areas with high collagen lead to a constrained immune migration (less movement) while areas of low collagen lead to random, undirected motion (more movement). Witness the evolution of collagen patterns as a mechanism for immune evasion in HNSCC!“
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