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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
From the editor:
Today we feature articles on intra-tumor heterogeneity, patient-specific predictions, CAR-T, spatial stochastic models, evolutionary dynamics, and more.
“We especially need imagination in science. It is not all mathematics, nor all logic, but it is somewhat beauty and poetry."
- M. Mitchell
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
Predicting Patient-Specific Tumor Dynamics: How Many Measurements Are Necessary?
Isha Harshe, Heiko Enderling, Renee Brady-Nicholls
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
SMITH: Spatially Constrained Stochastic Model for Simulation of Intra-Tumour Heterogeneity
Adam Streck, Tom L Kaufmann, Roland F Schwarz
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
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
Estimating single cell clonal dynamics in human blood using coalescent theory
Brian Johnson, Yubo Shuai, Jason Schweinsberg, Kit Curtius
Analysis of a Countable-Type Branching Process Model for the Tug-of-War Cancer Cell Dynamics
Ren-Yi Wang, Marek Kimmel
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
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
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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