This week in MathOnco 249

MathOnc23 meeting & more

“This week in Mathematical Oncology” — Apr. 6, 2023

> mathematical-oncology.org

From the editor:

At the top of today’s newsletter, I’d like to put an announcement from Kristin & Sandy on the upcoming MathOnc23 meeting:

Subject: Hotel and Registration Reminder for MathOnc23

Dear Mathematical Oncology Colleagues!

The planning for the inaugural International Mathematical Oncology meeting is in full swing.

Just a reminder that the hotel block pricing is held until April 7^th so don’t forget to register and get your hotel booked!

https://mathematical-oncology.org/mathonc23

Also, the first 60 conference registrants will be guaranteed tickets to the delicious, hosted conference dinner at a gorgeous Latin cuisine venue in Old Town Scottsdale sponsored by the Mayo Clinic Comprehensive Cancer Center and the James S McDonnell Foundation!

We look forward to seeing you in Arizona soon!

Kristin & Sandy

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1. Quantification of spatial and phenotypic heterogeneity in an agent-based model of tumour-macrophage interactions
   Joshua A. Bull, Helen M. Byrne

2. Neuroblastoma arises in early fetal development and its evolutionary duration predicts outcome
   Verena Körber, Sabine A. Stainczyk, Roma Kurilov, Kai-Oliver Henrich, Barbara Hero, Benedikt Brors, Frank Westermann, Thomas Höfer

3. Mathematical Model of Clonal Evolution Proposes a Personalised Multi-Modal Therapy for High-Risk Neuroblastoma
   Matteo Italia, Kenneth Y. Wertheim, Sabine Taschner-Mandl, Dawn Walker, Fabio Dercole

4. Modeling cancer’s ecological and evolutionary dynamics
   Anuraag Bukkuri, Kenneth J. Pienta, Ian Hockett, Robert H. Austin, Emma U. Hammarlund, Sarah R. Amend & Joel S. Brown

5. Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success
   Matheus Correia Casotti, Débora Dummer Meira, Aléxia Stefani Siqueira Zetum, Bruno Cancian de Araújo, …, , Eduardo Cremonese Filippi Chiela, Guido Lenz, Elizeu Fagundes de Carvalho, Iúri Drumond Louro

1. Simulations of 3D organoids suggest inhibitory neighbour-neighbour signalling as a possible growth mechanism in EGFR-L858R mutant alveolar type II cells
   Helena Coggan, Clare E. Weeden, Philip Pearce, Mohit P. Dalwadi, Alastair Magness, Charles Swanton, Karen M. Page

2. A continuation technique for maximum likelihood estimators in biological models
   Tyler Cassidy

1. Mathematical modeling of neuroblastoma associates evolutionary patterns with outcomes
   Nature Genetics: News & Views
   Giulio Caravagna: “A new study deciphers the origin and evolution of childhood neuroblastoma using genome sequencing data, mathematical models and statistical inference, showing how neuroblastoma evolution is an accurate predictor of outcome.“

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: Agent-based methods facilitate integrative science in cancer, in Trends in Cell Biology.

Artist: Jeffrey West, Mark Robertson-Tessi, Sandy Anderson

Caption: “This artwork was featured on the cover of Trends in Cell Biology, April 2023. Modeling tumor evolution via integrative team science. On pages 300–311 in this issue, West et al. review the utility of agent-based modeling to investigate the cell–cell and cell–environment interactions that drive cancer progression, therapeutic resistance, and metastasis. A set of simulated tumors is shown, where each pixel corresponds to a single tumor cell. Cells are color-coded according to the nature of recent interactions with infiltrating immune cells. Yellow cells are PD-L1+, green cells hide in acid, blue cells survive in low glucose, pink cells produce acid, and red cells out-proliferate predation. The background is an evolutionary Muller plot showing the trajectories of evolving tumor subclones over time (top to bottom). These tumors provide an apt metaphor for participating in integrative team science. Interdisciplinary teams are as diverse as the outcomes of our tumor simulations; mathematicians, evolutionary or experimental biologists, and clinicians can brainstorm and iterate to design the rules underlying the mathematical model.”

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

2. Conferences / Meetings

3. Special issues

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