This week in MathOnco 302

Antifragility, optimal treatment, fitness landscapes, deep learning, and more...

“This week in Mathematical Oncology” — Aug 8, 2024

> mathematical-oncology.org

From the editor:

Welcome to another edition of the math oncology newsletter. There are multiple job posts below, including graduate students / postdoc positions under the (co-)supervision of Morgan Craig and/or David McLeod at Univ Montreal, and a faculty position at Roskilde University!

Thanks,

Jeffrey West
jeffrey.west@moffitt.org

1. Antifragility in complex dynamical systems
   Cristian Axenie, Oliver López-Corona, Michail A. Makridis, Meisam Akbarzadeh, Matteo Saveriano, Alexandru Stancu & Jeffrey West

2. Linking discrete and continuous models of cell birth and migration
   W. Duncan Martinson, Alexandria Volkening, Markus Schmidtchen, Chandrasekhar Venkataraman and José A. Carrillo

3. Asymptotic dynamics and optimal treatment for a model of tumour resistance to chemotherapy
   Mariusz Bodzioch, Juan Belmonte-Beitia, Urszula Foryś

4. Modelling glioblastoma resistance to temozolomide. A mathematical model to simulate cellular adaptation in vitro
   Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Teodora Ranđelović, Ignacio Ochoa, Manuel Doblaré

5. Tumor evolution analysis uncovered immune-escape related mutations in relapse of diffuse large B-cell lymphoma
   Xueshuai Han, Jingru Sui, Kui Nie, Yang Zhao, Xuan Lv, Jindou Xie, Leonard Tan, Rex K. H. Au-Yeung, Jiao Ma, Giorgio Inghirami, Olivier Elemento, Wayne Tam & Zhaoqi Liu

6. An evolutionary differential game for regulating the role of monoclonal antibodies in treating signalling pathways in oesophageal cancer
   Mesfer Alajmi and Souvik Roy

7. Leveraging Cancer Phenotypic Plasticity for Novel Treatment Strategies
   Sravani Ramisetty, Ayalur Raghu Subbalakshmi, Siddhika Pareek, Tamara Mirzapoiazova, …, Atish Mohanty, Sharad S. Singhal, Ravi Salgia, Prakash Kulkarni

8. An agent-based method to estimate 3D cell migration trajectories from 2D measurements: Quantifying and comparing T vs CAR-T 3D cell migration
   Daniel Camacho-Gomez, Nieves Movilla, Carlos Borau, Alejandro Martin, Carmen Oñate Salafranca, Julian Pardo, Maria Jose Gomez-Benito, Jose Manuel Garcia-Aznar

1. Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images
   Mayur Mallya, Ali Khajegili Mirabadi, Hossein Farahani, Ali Bashashati

2. Deep learning identifies heterogeneous subpopulations in breast cancer cell lines
   Tyler A. Jost, Andrea L. Gardner, Daylin Morgan, Amy Brock

1. Clonal competition in ageing human haematopoiesis and its emerging dynamic fitness landscape
   The Mathematical Oncology Blog
   Nathaniel Vincent Mon Père, Francesco Terenzi, Benjamin Werner - “We are very happy to talk about our newest preprint on clonal competition as a proposed mechanism for the emerging dynamic fitness landscape of haematopoietic stem cells (HSCs). This work started with two very exciting papers published back-to-back by Mitchell et al. and Fabre et al. that measured aspects of clonal haematopoiesis (CH) through single cell phylogenies and clonal trajectories respectively.”

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: Dissecting the Spatially Restricted Effects of Microenvironment-Mediated Resistance on Targeted Therapy Responses published in Cancers

Artist: Tatiana Miti (@8birds1cat), Bina Desai (@Binadesai14), Jill Gallaher (@jillagal), Logan Goff

Caption: Stroma shapes tumor evolution, growth dynamics, and metastasis. In non-small cell lung cancer (NSCLC), stroma secretes paracrine factors that enhance tumor cells' survival under targeted therapies. Understanding stroma-tumor cells' spatial interactions could offer insights into the molecular mechanisms behind these cross-talks and lead to the design of new drugs focusing on these interactions. Moreover, the stroma-tumor cells' spatial relationship changes under treatment, suggesting the emergence of drug tolerance or resistance. We combined experimental data with ecology and physics-based spatial analysis methods to quantify the stromal effects in NSCLC in the presence or absence of treatment. We used the extracted parameters to build an ABM and investigate the potential mechanisms to disrupt or diminish these effects. Our results indicate that the stroma’s activity and radius of the impact are the main aspects influencing the drug-sheltering potential of stroma under targeted therapies.

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

• Grad student & postdoc positions in the mathematical biology group at Université de Montréal (Co-supervision of Morgan Craig and/or David McLeod)

• Associate professor/tenure-track assistant professor in applied mathematics (Department of Science and Environment, Roskilde University)

• Postdoctoral Research Fellow in Integrated Mathematical Oncology (Sandy Anderson)

2. Conferences / Meetings

3. Special issues

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