#MathOnco Issue 101: clonal reconstruction, personalized prediction, cellular turnover, tumor containment, a Bayesian machine scientist
This week in
Math Oncology
Feb. 6, 2020 ~ Issue 101
From the editor
Hello!
Today's issue contains articles on clonal reconstruction, personalized prediction models for prostate cancer, the key role of cellular turnover, and an extensive analysis of the containment strategy in cancer therapy.
In light of David's recent discussion on the Mathematical Oncology blog regarding the topic of bridging mechanistic modeling and machine learning, I've included a link to the interesting technique of constructing a "Bayesian machine scientist."
Enjoy!
-Jeffrey West
#MathOnco Publications
Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome
Authors: Guillermo Lorenzo, Víctor M. Pérez-García, Alfonso Mariño, Luis A. Pérez-Romasanta, Alessandro Reali and Hector Gomez
Small Models for Big Data
Authors: Hitesh B. Mistry, David Orrell
A numerical simulation study of the dual role of 5alpha-reductase inhibitors on tumor growth in prostates enlarged by benign prostatic hyperplasia via stress relaxation and apoptosis upregulation
Authors: G. Lorenzo, T. J. R. Hughes, A. Reali, H. Gomez
Algorithmic approaches to clonal reconstruction in heterogeneous cell populations
Authors: Wazim Mohammed Ismail, Etienne Nzabarushimana, Haixu Tang
A Bayesian machine scientist to aid in the solution of challenging scientific problems
Authors: Roger Guimerà, Ignasi Reichardt, Antoni Aguilar-Mogas, Francesco A. Massucci, Manuel Miranda, Jordi Pallarès, Marta Sales-Pardo
#MathOnco Preprints
Turnover modulates the need for a cost of resistance in adaptive therapy
Authors: Maximilian Andreas Roland Strobl, Jeffrey West, Joel Brown, Robert Gatenby, Philip Maini, Alexander Anderson
The logic of containing tumors
Authors: Yannick Viossat, Robert John Noble
scite and Wiley Partner to Introduce Smart Citations
Brooklyn, NY: "Myles Axton, Editor-in-Chief of the open-access journal Genetics & Genomics Next, published by Wiley, says, 'Given the widespread adoption of citation as a proxy for the impact of scholarly publications, it is important for scholars to fully understand how the citation is used. More insight into citation use helps avoid citation inflation and the propagation of fake news. scite is a tool with a strong network effect and works really well in combination with open access. The more articles are open to the tool, the more authors appreciate the context in which their work is being used.'"
The Tumour Collective – How co-operation may drive malignant tumours University of Oxford: "Rather than being a single malignant mass, tumours are living and evolving ecosystems. They are composed of genetically and phenotypically heterogeneous cell populations which compete with each other and with the healthy tissue surrounding them. Researchers have been using ideas from ecology (by way of mathematics), to investigate how these interactions shape tumour initiation and evolution and how we might be able to exploit them to improve therapy response."
#MathOnco - Book of the month
Antifragile: Things That Gain from Disorder
Nassim Nicholas Taleb: "Just as human bones get stronger when subjected to stress and tension, and rumors or riots intensify when someone tries to repress them, many things in life benefit from stress, disorder, volatility, and turmoil. What Taleb has identified and calls “antifragile” is that category of things that not only gain from chaos but need it in order to survive and flourish. The antifragile is beyond the resilient or robust. The resilient resists shocks and stays the same; the antifragile gets better and better. Furthermore, the antifragile is immune to prediction errors and protected from adverse events."
Most clicked links of December
Tumor diversity and the trade-off between universal cancer tasks
Opportunities for improving cancer treatment using systems biology
Inferring growth and genetic evolution of tumors from genome sequences
Jobs
Postdoctoral Fellow in Mathematical Oncology (Russell Rockne)
Postdoc: University of Birmingham - Institute of Metabolism and Systems Research
Pre-leukemic Dynamics – MSc or PhD Studentship (Morgan Craig)
Quantitative Systems Pharmacology (QSP) Modeler - Cell Therapy (Dean Bottino)
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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