This week in MathOnco 264

Clonal extinction, combination chemotherapy, agent-based models, frequency-dependent selection and more

“This week in Mathematical Oncology” — August 17, 2023

> mathematical-oncology.org

From the editor:

Today we feature articles on clonal extinction, combination chemotherapy, agent-based models, frequency-dependent selection and more.

Be sure to check out the artwork today — one of Moffitt’s papers featured in Cancer Research: congrats Jill Gallaher!

Thanks,

Jeffrey West
jeffrey.west@moffitt.org

1. Early clonal extinction in glioblastoma progression revealed by genetic barcoding
   Davide Ceresa, Francesco Alessandrini, Sara Lucchini, Daniela Marubbi, Francesca Piaggio, Jorge Miguel Mena Vera, Isabella Ceccherini, Daniele Reverberi, Irene Appolloni, Paolo Malatesta

2. Combination Chemotherapy of Multidrug-resistant Early-stage Colon Cancer: Determining Optimal Dose Schedules by High-performance Computer Simulation
   Chase Cockrell, David E. Axelrod

3. Growth exponents reflect evolutionary processes and treatment response in brain metastases
   Beatriz Ocaña-Tienda, Julián Pérez-Beteta, Juan Jiménez-Sánchez, David Molina-García, …, Manuel Llorente, Natalia Carballo, Estanislao Arana & Víctor M. Pérez-García

4. Agent-based modelling reveals the role of the tumour microenvironment on the short-term success of combination temozolomide/immune checkpoint blockade to treat glioblastoma
   Anudeep Surendran, Adrianne L Jenner, Elham Karimi, Benoit Fiset, Daniela F Quail, Logan A Walsh and Morgan Craig

5. A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data
   Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Julie C. DiCarlo, John Virostko, Vito Quaranta, Darren R. Tyson & Thomas E. Yankeelov

1. Metabolic Symbiosis between Oxygenated and Hypoxic Tumour Cells: An Agent-based Modelling Study
   PG Jayathilake, P Victori, CE Pavillet, D Voukantsis, A Miar, A Arora, AL Harris, KJ Morten, FM Buffa

2. Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
   Beatriz Ocaña-Tienda, Odelaisy León-Triana, Julián Pérez-Beteta, Víctor M. Pérez-García

3. Frequency-dependent selection of neoantigens fosters tumor immune escape and predicts immunotherapy response
   Shaoqing Chen, Duo Xie, Jiguang Wang, Zheng Hu, Da Zhou

4. Metabolic Symbiosis between Oxygenated and Hypoxic Tumour Cells: An Agent-based Modelling Study
   PG Jayathilake, P Victori, CE Pavillet, D Voukantsis, A Miar, A Arora, AL Harris, KJ Morten, FM Buffa

5. Mathematical Modeling of Field Cancerization through the Lens of Cancer Behavioral Ecology
   Anuraag Bukkuri, Frederick Adler

6. A computational pipeline for spatial mechano-transcriptomics
   Adrien Hallou, Ruiyang He, Benjamin David Simons, Bianca Dumitrascu

1. Early coauthorship with top scientists predicts success in academic careers
   Weihua Li, Tomaso Aste, Fabio Caccioli & Giacomo Livan

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: Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics in Cancer Research

Artist: Jill Gallaher (@jillagal), Sandy Anderson (@ara_anderson), Jeffrey West (@mathoncbro), Maximilian Strobl (@StroblMAR), Mark Robertson-Tessi (@markrt_)

Caption: "Quantifying and characterizing metastases is tough due to the dispersal of cancer cells across multiple sites and the paucity of data. Utilizing a multiscale agent-based model, we linked the dynamics of tumor biomarkers with fundamental disease characteristics, such as the distribution of metastases and the diversity found both between and within metastatic locations. Our study revealed that one adaptive therapy cycle (treatment until 50% reduction, then regrowth) can unveil several metastatic traits, aiding treatment decision-making. This image, which was featured on the cover of Cancer Research this week, depicts a collection of metastases resembling a planetary system, centered on a primary tumor “sun” or “star”. In the same way in which planets are interconnected yet distinct entities, a metastatic cancer can only be fully understood if both its individual parts as well as their sum are taken into account."

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