This week in MathOnco 275

Adaptive therapy, hormesis, drug synergy, and more...

Jeffrey West

Franco Pradelli

Maximilian Strobl

, and 2 others

Nov 09, 2023

`> mathematical-oncology.org`

`From the editor:`

It was great to see many of you attend the IMO Workshop last week at Moffitt Cancer Center. If you’d like see a glimpse into the action, check out the hashtag #MoffittIMO.

Thanks,

Jeffrey West jeffrey.west@moffitt.org

Adaptive therapy: a tumor therapy strategy based on Darwinian evolution theory
Lei Zhang, Jianli Ma, Lei Liu, Guozheng Li, …, Xinheng Wang, Shuai Yang, Shouping Xu
Statistical Assessment of Drug Synergy from In Vivo Combination Studies Using Mouse Tumor Models
Binchen Mao, Sheng Guo
Hormetic and synergistic effects of cancer treatments revealed by modelling combinations of radio - or chemotherapy with immunotherapy
Sanyi Tang, Shuo Li, Biao Tang, Xia Wang, Yanni Xiao & Robert A. Cheke

Interactions between ploidy and resource availability shape clonal interference at initiation and recurrence of glioblastoma
Zuzanna Nowicka, Frederika Rentzeperis, Richard Beck, Vural Tagal, …, Joaquim M. Farinhas, Ana P. Gomes, Parag Katira, Noemi Andor
Recipes for calibration and validation of agent-based models in cancer biomedicine
Nicolò Cogno, Cristian Axenie, Roman Bauer, Vasileios Vavourakis
Network Inference from Cancer and Epithelial Cell Co-Culture Reveal Microenvironmental Configurations That Drives Population Dynamics
Alexandre Sarmento Queiroga, Mauro Cesar Cafundó Morais, Beatriz Stransky
Comparison of Tug-of-War Models Assuming Moran versus Branching Process Population Dynamics
Khanh N. Dinh, Monika K. Kurpas, Marek Kimmel
Derivation and travelling wave analysis of phenotype-structured haptotaxis models of cancer invasion
Tommaso Lorenzi, Fiona R. Macfarlane, Kevin J. Painter
A novel Bayesian model for assessing intratumor heterogeneity of tumor infiltrating leukocytes with multi-region gene expression sequencing
Peng Yang, Shawna M. Hubert, P. Andrew Futreal, Xingzhi Song, Jianhua Zhang, J. Jack Lee, Ignacio Wistuba, View ORCID ProfileYing Yuan, Jianjun Zhang, Ziyi Li
Growth Dynamics of Ductal Carcinoma in Situ Recapitulate Normal Breast Development
Marc D. Ryser, Matthew A. Greenwald, Inmaculada C. Sorribes, Lorraine M. King, …, Carlo C. Maley, Jeffrey R. Marks, Darryl Shibata, E. Shelley Hwang

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: Treatment of evolving cancers will require dynamic decision support in Annals of Oncology

Artist: Maximilian Strobl, Jill Gallaher, Mark Robertson-Tessi, Jeffrey West, Alexander R.A. Anderson

Caption: Cancer research has traditionally focused on developing new agents, but an underexplored question is that of the dose and frequency of existing drugs. Most drugs are administered according to predetermined schedules that seek to deliver the maximum tolerated dose and are only adjusted for toxicity. However, over the past decade it has become clear that cancers are complex and evolving systems, which in our opinion require for a more dynamic and personalized approach. In this perspective, we bring together key concepts and research on treatment scheduling from across different fields and advocate for a synthesis in which each patient is mapped to the strategy that best matches their current disease characteristics and treatment objectives (their 'tumorscape', depicted here). Furthermore, we discuss how to achieve this level of personalization, we need mathematical modeling, and we conclude with promising examples of model-guided schedule personalization, and a call to action to address key outstanding challenges.

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