Issue 13: intra-tumoral competition, parameter estimation, model validation, memoryless cell cycle, cell interactions, Bayesian features, #mathonco
This week in
Mathematical Oncology
April 5, 2018 ~ Issue 13
From the editor
The past few weeks saw several exciting updates on the mathematical oncology front including a flurry of activity in topics like parameter estimation and model validation. Several spatial models were released in addition to a neat model of the cell cycle phases.
As our small community of modelers grows (200 people!) I'd like to say thanks for reading this newsletter. As always, feel free to reply to this email to send along links you think are relevant in #mathonco.
Enjoy,
-Jeffrey West
#MathOnco Publications
Combination therapies and intra-tumoral competition: Insights from mathematical modeling
Authors: Elena Piretto, Marcello Delitala, Mario Ferraro
Tumor growth modeling: parameter estimation with maximum likelihood methods
Authors: Spyridon Patmanidis, Alexandros C. Charalampidis, ..., George P. Papavassilopoulos
Model prediction and validation of an order mechanism controlling the spatiotemporal phenotype of early hepatocellular carcinoma
Authors: Stefan Hoehme, Francois Bertaux, William Weens, Bettina Grasl-Kraupp, Jan G. Hengstler, Dirk Drasdo
Epigenetic regulation of cell fate reprogramming in aging and disease: a predictive computational model
Authors: Nuria Folguera-Blasco, Elisabet Cuyas, Javier A. Menendez, Tomas Alarcon
#MathOnco Preprints
The local and global dynamics of a cancer tumor growth and chemotherapy treatment model
Authors: Veli Shakhmurov, Akif Maharramov, Bunyad Shahmurzada
Calculating normal tissue complication probabilities and probabilities of complication-free tumour control from stochastic models of population dynamics
Authors: Peter G. Hufton, Elizabeth Buckingham-Jeffery, Tobias Galla
Phylogeny-based tumor subclone identification using a Bayesian feature allocation model
Authors: Li Zeng, Joshua L. Warren, Hongyu Zhao
Modelling cell-cell interactions from spatial molecular data with spatial variance component analysis
Authors: Damien Arnol, Denis Schapiro, Bernd Bodenmiller, Julio Saez-Rodriguez, Oliver Stegle
Evidence that the cell cycle is a series of uncoupled, memoryless phases
Authors: Hui Xiao Chao, Randy I Fakhreddin, Hristo K Shimerov, Rashmi J Kumar, Gaorav P Gupta, Jeremy E Purvis
#MathOnco News
Mathematical modeling offers new way to understand variable responses to targeted therapy
"Cells within a single tumor can be very different. They may have different genetic characteristics leading to different protein levels or activity, and act differently in response to a stimulus or targeted therapy." The interdisciplinary research team "created a mathematical model based on their experimental data from a lung cancer cell line."
#MathOnco Books
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."
Do you see something we missed? Click the submit button below to send us an idea for next week's issue.
The #MathOnco newsletter is maintained by @jeffreyjizzle. If you were forwarded this email, subscribe for free here to get it delivered every week.