This week in Math Onco 147
Luck, wrong models, tumor-immune co-evolution, harsh microenvironment, plasticity, adaptive therapy, and more...
“This week in Mathematical Oncology” — Newsletter
Jan. 28, 2021
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jeffrey.west@moffitt.org
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From the editor:
Summary of contents:
For predictive modeling, the aphorism “
All models are wrong
” becomes awkward.
How much variation in cancer risk is attributable to
luck
?
Microenvironmental conditions that exist early in breast cancer
select for a Warburg phenotype
.
A
Trends review
of tumor-immune coevolution.
Adaptive therapy using a cellular automata model,
fit to prostate data
A
blog post
and a
preprint
on the impact of phenotypic plasticity on treatment/relapse.
Links to two useful Overleaf extensions:
Writefull
and
LatexDiff
.
…and more…
Your friendly neighborhood math oncologist,
-Jeffrey West
Are all models wrong?
Heiko Enderling Olaf WolkenhauerIs cancer a matter of luck?
Anya PlutynskiThe harsh microenvironment in early breast cancer selects for a Warburg phenotype
Mehdi Damaghi, Jeffrey West, Mark Robertson-Tessi, Liping Xu, Meghan C. Ferrall-Fairbanks, Paul A. Stewart, Erez Persi, Brooke L. Fridley, Philipp M. Altrock, Robert A. Gatenby, Peter A. Sims, Alexander R. A. Anderson, Robert J. GilliesTargeting Cancer Heterogeneity with Immune Responses Driven by Oncolytic Peptides
Ilio Vitale, Takahiro Yamazaki, Erik Wennerberg, Baldur Sveinbjørnsson, Øystein Rekdal, Sandra Demaria, Lorenzo GalluzziImplications of Tumor–Immune Coevolution on Cancer Evasion and Optimized Immunotherapy
Jason T. George, Herbert LevineSpontaneous cell fusions as a mechanism of parasexual recombination in tumour cell populations
Daria Miroshnychenko, Etienne Baratchart, Meghan C. Ferrall-Fairbanks, Robert Vander Velde, Mark A. Laurie, Marilyn M. Bui, Aik Choon Tan, Philipp M. Altrock, David Basanta, Andriy MarusykDose individualisation in oncology using chemotherapy‐induced neutropenia: Example of docetaxel in non‐small cell lung cancer patients
Aurélie Lombard, Hitesh Mistry, Leon Aarons, Kayode OgungbenroWhat Will B Will B: Identifying Molecular Determinants of Diverse B-Cell Fate Decisions Through Systems Biology
Simon Mitchell
Spatial structure impacts adaptive therapy by shaping intra-tumoral competition
Maximilian A R Strobl, Jill Gallaher, Jeffrey West, Mark Robertson-Tessi, Philip K Maini, Alexander AndersonThe impact of phenotypic heterogeneity of tumour cells on treatment and relapse dynamics
Michael Raatz, Saumil Shah, Guranda Chitadze, Monika Brüggemann, Arne TraulsenTemporal order of mutations influences cancer initiation dynamics
Hamid Teimouri, Anatoly B. KolomeiskyReconstructing tumor trajectories during therapy through integration of multiple measurement modalities
Jason I. Griffiths, Jinfeng Chen, Onalisa Winblad, Anne O’Dea, …, Frederick R. Adler, Adam L. Cohen, Andrea H. Bild, Qamar J. KhanPhenotypic variation modulates the growth dynamics and response to radiotherapy of solid tumours under normoxia and hypoxia
Giulia L. Celora, Helen M. Byrne, Christos Zois, Panos G. Kevrekidis
1. A short guide to using Latexdiff
Shannon M. Locke: Latexdiff is a way of showing tracked changes in a LaTeX document. It is less straightforward that the equivalent feature in Word documents, or the history feature in the online LaTeX editor Overleaf. Latexdiff, however, can be a saviour if you need to show document changes during the review process or to update collaborators, so it is worth learning how to use it. Latexdiff is a Perl script that compares two versions of the same LaTeX document, and produces a third document that indicates what has changed from the old to the new version.
2. Writefull launches a new version of its Overleaf extension
Writefull for Overleaf provides real-time language feedback in the Overleaf LaTeX editor, using Deep Learning models trained on millions of published journal articles. Thanks to this, it can identify parts of your text that may be incorrect or inappropriate for scientific writing, and suggest changes.
With a new version of its language check extension now out, Writefull brings even faster and easier language editing within Overleaf.
3) How cancer treatment selects on phenotypic heterogeneity
The Mathematical Oncology Blog
Michael Raatz: It is often argued that mathematically motivated treatment should leverage ecological principals to overcome current treatment limitations, for example to avoid resistance evolution. One of the cornerstones of contemporary ecological research is the investigation of intra-specific heterogeneity and its consequences for populations and ecosystems. This stresses that individuals from the same species, even those that are closely related, can be different from each other in many aspects. Sometimes, individuals from different species can be more similar than individuals from the same species. Characterizing this heterogeneity is achieved by measuring functional traits of organisms, thus obtaining trait distributions for populations in a research branch called trait-based ecology. Notably, these trait distributions are not necessarily binary, but allow to cover broad spectra of differences between organisms.
Apollo's Arrow:
The Profound and Enduring Impact of Coronavirus on the Way We Live
N. Christakis: "Apollo's Arrow offers a riveting account of the impact of the coronavirus pandemic as it swept through American society in 2020, and of how the recovery will unfold in the coming years. Drawing on momentous (yet dimly remembered) historical epidemics, contemporary analyses, and cutting-edge research from a range of scientific disciplines, bestselling author, physician, sociologist, and public health expert Nicholas A. Christakis explores what it means to live in a time of plague — an experience that is paradoxically uncommon to the vast majority of humans who are alive, yet deeply fundamental to our species."
Understanding the Evolutionary Dynamics and Ecology of Cancer in Treatment Resistance
Guest Editor: David BasantaMathematical Models of Cellular Immunotherapies in Cancer
Guest Editors: V. Pérez-García, L. de Pillis, P. Altrock, R. RockneFrom Ecology to Cancer Biology and Back Again
Guest Editors: Fred Adler, Sarah Amend, Chris WhelanFrontiers in quantitative cancer modeling
Guest Editors: Mohit Kumar Jolly, Heiko Enderling
NEW: Research Fellow on modelling the dynamics of the vasculature (Fabian Spill)
NEW: Research Fellow Systems-Mechanobiology of Health and Disease (Fabian Spill)
Early Stage Researcher: Evolutionary therapy in ovarian cancer (Ben Werner)
Postdoc in Statistics & Mathematics for Personalized Breast Cancer Therapy (Alvaro Köhn-Luque)
Mathematical Modeling Expert in Oncology Translational Science (Boehringer Ingelheim)
Research Associate - Biostatistician (University of Manchester)
Postdoctoral Fellow in Cancer Resistance Modeling, Pfizer (Blerta Shtylla)
Principal Scientist – Oncology PK/PD Modelling (Boehringer Ingelheim)
Postdoctoral Research Position in Computational Immunology (Sylvain Cussat-Blanc)
Systems Biology Modeler Positions in Biopharma Consulting Company (Helen Moore)
Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
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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