This week in MathOnco 245

Intra-tumor heterogeneity, patient-specific predictions, CAR-T, spatial stochastic models, evolutionary dynamics, and more.

“This week in Mathematical Oncology” — Feb. 23, 2023

> mathematical-oncology.org

From the editor:

Today we feature articles on intra-tumor heterogeneity, patient-specific predictions, CAR-T, spatial stochastic models, evolutionary dynamics, and more.

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

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“We especially need imagination in science. It is not all mathematics, nor all logic, but it is somewhat beauty and poetry."
- M. Mitchell¹

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1. Intra-tumor heterogeneity, turnover rate and karyotype space shape susceptibility to missegregation-induced extinction
   Gregory J. Kimmel, Richard J. Beck, Xiaoqing Yu, Thomas Veith, Samuel Bakhoum, Philipp M. Altrock, Noemi Andor

2. Predicting Patient-Specific Tumor Dynamics: How Many Measurements Are Necessary?
   Isha Harshe, Heiko Enderling, Renee Brady-Nicholls

3. Deconvolution of clinical variance in CAR-T cell pharmacology and response
   Daniel C. Kirouac, Cole Zmurchok, Avisek Deyati, Jordan Sicherman, Chris Bond, Peter W. Zandstra

4. SMITH: Spatially Constrained Stochastic Model for Simulation of Intra-Tumour Heterogeneity
   Adam Streck, Tom L Kaufmann, Roland F Schwarz

5. Cell Adaptive Fitness and Cancer Evolutionary Dynamics
   Youcef Derbal

6. Metabolic activity grows in human cancers pushed by phenotypic variability
   Jesús J. Bosque, Gabriel F. Calvo, David Molina-García, Julián Pérez-Beteta, Ana M. García Vicente, Víctor M. Pérez-García

7. Mathematical modeling of the early modeled CA-125 longitudinal kinetics (KELIM-PARP) as a pragmatic indicator of rucaparib efficacy in patients with recurrent ovarian carcinoma in ARIEL2 & STUDY 10
   Olivier Colomban, Elizabeth M. Swisher, Rebecca Kristeleit, Iain McNeish, Ronnie Shapira-Frommer, Sandra Goble, Kevin K. Lin, Lara Maloney, Gilles Freyer, Benoit You

1. Estimating single cell clonal dynamics in human blood using coalescent theory
   Brian Johnson, Yubo Shuai, Jason Schweinsberg, Kit Curtius

2. Analysis of a Countable-Type Branching Process Model for the Tug-of-War Cancer Cell Dynamics
   Ren-Yi Wang, Marek Kimmel

3. Paradoxical activation of oncogenic signaling as a cancer treatment strategy
   Matheus Henrique Dias, Anoek Friskes, Siying Wang, Joao M. Fernandes Neto, …, Roderick L. Beijersbergen, Alberto Villanueva, Rene H. Medema, Rene Bernards

4. Exploring the Interactions of Oncolytic Viral Therapy and Immunotherapy of Anti-CTLA-4 for Malignant Melanoma Mice Model
   Jui-Ling Yu, Sophia R.-J. Jang, Kwei-Yan Liu

1. A general deterministic framework for modeling chromosome missegregations
   The Mathematical Oncology Blog: Behind the Paper
   Noemi Andor: “Modeling mis-segregations is hard because of the sheer number of possible karyotypes. More than 70 quintillions (considering 8 states/chr)! We derived a deterministic framework for modeling mis-segregations (MS) of multiple chromosome types accounting for viable karyotype intervals of all 22 autosomes simultaneously and for the turnover rate of the population. It offers the flexibility to identify potential synergies between copy number changes of multiple chromosomes and to model intra-tumor heterogeneity in the copy number of all chromosomes, as well as karyotype specific MS- and turnover rates.“

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: “Somatic mutation rates scale with lifespan across mammals” in Nature.

Artist: Alex Cagan (@ATJCagan)

Caption: "Somatic mutations drive cancer and may play a role in ageing. Across the tree of life there is great diversity in cancer risk and the speed at which species age, yet we know very little about somatic mutational processes in non-human species. This illustration highlights the 16 species of mammals that we studied to compare their somatic mutation rates and signatures. The pointillist style was chosen to echo the process of somatic mutation and clonal expansion that is presumably occurring within the tissues of all mammals as they age but which has hitherto been invisible to us. The double-helix hourglass references the accumulation of mutations over time and speculates on the potential relationship between genome integrity and ageing."

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1. H/T @cemccarthy02 — thanks for the quote, Claire McCarthy!