#MathOnco Issue 33: non-genetic / genetic resistance duality, radiation immunotherapy; tumor spheroid; synergistic drugs;
This week in
Mathematical Oncology
Aug. 31, 2018 ~ Issue 33
From the editor
Hello math onco faithful,
Today's issue contains topics like non-genetic / genetic duality nature of resistance, radiation immunotherapy combinations, several tumor spheroid models and synergistic drug combinations models!
In other news, many of you might be interested in joining the 8th annual IMO workshop, a true #MathOnco experience. Registration and travel awards available for the Oct. 28 - Nov. 2 event.
-Jeffrey West
#MathOnco Publications
The Genetic/Non-genetic Duality of Drug ‘Resistance’ in Cancer
Authors: Ravi Salgia, Prakash Kulkarni
The accelerating quest for optimal radiation and immunotherapy combinations for local and systemic tumor control
Authors: Heiko Enderling, Sungjune Kim, Shari Pilon-Thomas
Mathematical Modeling of the Proliferation Gradient in MultiCellular Tumor Spheroids
Authors: T. Michel, J.Fehrenbach, V. Lobjois, J. Laurent, A. Gomes, T. Colin, C.Poignard
Precision Medicine in Cancers and Non-Communicable Diseases
Authors: Debmalya Barh
#MathOnco Preprints
Evolution of cancer cell populations under cytotoxic therapy and treatment optimisation: insight from a phenotype-structured mode
Authors: L. Almeida, P. Bagnerini, G. Fabrini, B.D. Hughes, T. Lorenzi
Multi-scale modeling reveals angiogenesis-induced drug resistance in brain tumor and predicts a synergistic drug combination targeting EGFR and VEGFR pathways
Authors: Weishan Liang, Ji Zhang, XiaoQiang Sun
SiCloneFit: Bayesian inference of population structure, genotype, and phylogeny of tumor clones from single-cell genome sequencing data
Authors: Hamim Zafar, Nicholas Navin, Ken Chen, Luay Nakhleh
Co-evolution of nodes and links: diversity driven coexistence in cyclic competition of three species
Authors: Kevin E. Bassler, Erwin Frey, R.K.P. Zia
#MathOnco News
IMO Workshop 8: Evolutionary Therapy
Sandy Anderson: "Adaptive therapy is a subset of a larger class of evolutionary-enlightened therapeutic approaches that embrace evolutionary principles to try and stay one step ahead of the complex evolving system that is cancer. The timing of each treatment will be specific to each cancer patient; how they respond to the initial treatment will dictate when the current treatment should stop and when the next round should begin."
#MathOnco - Book of the month
Ecology and Evolution of Cancer
B. Ujvari, B. Roche, F. Thomas: "Cancer is now generally accepted to be an evolutionary and ecological process with complex interactions between tumor cells and their environment sharing many similarities with organismal evolution. This work engages the expertise of a multidisciplinary research team to collate and review the latest knowledge and developments in this exciting research field."
#MathOnco - Best of last month
Most clicked links of July
Cancer-causing somatic mutations: they are neither necessary nor sufficient
Eco-evolutionary causes and consequences of temporal changes in intratumoural blood flow
Mechanistic models versus machine learning, a fight worth fighting for the biological community?
Do you see something we missed? Click the submit button below to send us an idea for next week's issue.
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