“This week in Mathematical Oncology” — January 18, 2023
> mathematical-oncology.org
From the editor:
Welcome back to this week’s edition of Mathematical Oncology. May I draw your attention to a few interesting items, in particular:
First, a publication with extensive mouse modeling and computational simulations of adaptive therapy which, as noted on Twitter/X, is the first experimental adaptive therapy setup to consider multiple drugs.
Second, a blog post on the importance of modeling homeostasis, by David Basanta. As I’ve tweeted before, the gold standard in modeling ought to be the ability to recapitulate both normal dynamics & cancer dynamics. It’s intriguing to me that many math modelers agree in theory, but I really haven't seen much published in this area at all.
Thirdly, please note the ISEEC Conference below, complete with artwork. I highly recommend attending!
Until next week,
Jeffrey West
jeffrey.west@moffitt.org
Testing Adaptive Therapy Protocols Using Gemcitabine and Capecitabine in a Preclinical Model of Endocrine-Resistant Breast Cancer
Sareh Seyedi, Ruthanne Teo, Luke Foster, Daniel Saha, Lida Mina, Donald Northfelt, Karen S. Anderson, Darryl Shibata, Robert Gatenby, Luis H. Cisneros, Brigid Troan, Alexander R. A. Anderson, Carlo C. MaleyThe limits of the constant-rate birth-death prior for phylogenetic tree topology inference
Mark P Khurana, Neil Scheidwasser-Clow, Matthew J Penn, Samir Bhatt, David A Duchêne
Connecting Agent-Based Models with High-Dimensional Parameter Spaces to Multidimensional Data Using SMoRe ParS: A Surrogate Modeling Approach
Daniel R. Bergman, Kerri-Ann Norton, Harsh Vardhan Jain & Trachette JacksonConstantinos Harkos, Triantafyllos Stylianopoulos, Rakesh K. Jain
Chance, ignorance, and the paradoxes of cancer: Richard Peto on developing preventative strategies under uncertainty
George Davey Smith, Albert Hofman & Paul BrennanQuenching thirst with poison? Paradoxical effect of anticancer drugs
Kaiyuan Chai, Chuanlei Wang, Jianpeng Zhou, Wentao Mu, Menghan Gao, Zhongqi Fan, Guoyue LvModelling adaptive therapy for tumor using reaction-diffusion equation
Nor Farah Wahidah Nor Khalid; Mohd Almie Alias; Ishak HashimTheoretical understanding of evolutionary dosing following tumor dynamics
M.A. Masud, Eunjung Kim
A mathematical study of the interaction between oxygen and lactate in an in-vivo and in-vitro tumor
Gopinath Sadhu, D C Dalal
The importance of homeostasis
The Mathematical Oncology Blog
David Basanta: “So why would we spend time on this anyway? Well, cancers do not grow in a vacuum and, whether you are interested in evolutionary dynamics of cancer or not, we often cannot assume that tumor cells interact (compete/cooperate/etc) only with other cancer cells. In fact, cancer cells can be seen as an invasive species in an existing ecosystem and whether the tumor will be successful in establishing itself and what tumor cell phenotypes will emerge victorious will depend on whether the tumor contains cells that can take advantage of this ecosystem and co-opt normal cells and their interactions for their own benefit. In fact, recent work by Chris Tape at UCL add further evidence of the importance of the interactions between normal and tumor cells.”
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 ISEEC Workshop: Cancer Evolution: From Genome to Ecology
Artist: boredomresearch (www.boredomresearch.net)
Caption: This week’s artwork was created by boredomresearch in conjunction with the International Society for Evolution, Ecology and Cancer (ISEEC). ISEEC will be holding a workshop on May 8-10, 2024 at the Wellcome Genome Campus in the UK.
This year’s Cancer Evolution: from Genome to Ecology conference will highlight recent advances in phenotypic plasticity, multicellularity of aging and cancer, as well as, developments in spatial biology and modelling the evolution of caner, including using machine learning methods. Scientific presentations on data visualization will be complemented by informal workshops on using art for scientific gain.
The programme will also include presentations selected from abstracts submitted on the broad themes of the conference. Posters and poster-pitch talks will provide opportunities to present research findings or get feedback on ongoing projects.
This highly-interactive meeting will foster knowledge exchange among evolutionary biologists, ecologists, cancer researchers, clinicians and those from other disciplines who would like to learn about recent developments with application to cancer evolution and ecology. There will be plenty of opportunities to establish collaborations through face-to-face networking with inclusive meals, and optional on-site accommodation.
Abstract deadline: March 12, 2024
Visit the mathematical oncology page to view jobs, meetings, and special issues. We will post new additions here, but the full list can found at mathematical-oncology.org.
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