#MathOnco Issue 73: consecutive seeding, subclonal diversity, co-evolution, hidden Markov models
This week in
Math Oncology
July 3, 2019 ~ Issue 73
From the editor
#MathOnco friends,
This week in mathematical oncology saw articles in personalized therapy design, subclonal diversity, co-evolution, dormancy, multi-drug synergy, and more.
To me, the summertime is the perfect time period to read more widely, especially books which inspire. I've included a link to one of my favorites: "When Breath Becomes Air" - the beautiful book written by Paul Kalanithi, the doctor turned cancer patient.
Please enjoy,
-Jeffrey West
#MathOnco Publications
Consecutive seeding and transfer of genetic diversity in metastasis
Authors: Alexander Heyde, Johannes G. Reiter, Kamila Naxerova, and Martin A. Nowak
#MathOnco Preprints
Unexpectedly High Subclonal Mutational Diversity in Human Colorectal Cancer and Its Significance
Authors: Lawrence A. Loeb, Brendan F. Kohrn, Kaitlyn J. Loubet-Senear, Yasmin J. Dunn, Eun Hyun Ahn, Jacintha N. O’Sullivan, Jesse J. Salk, Mary P. Bronner, Robert A. Beckman
Sustained Co-evolution in a Stochastic Model of the Cancer-Immune Interaction
Authors: Jason T. George, Herbert Levine
Personalized Therapy Design for Liquid Tumors via Optimal Control Theory
Authors: Personalized Therapy Design for Liquid Tumors via Optimal Control Theory
A Hidden Markov Modeling Approach for Identifying Tumor Subclones in Next-Generation Sequencing Studies
Authors: Hyoyoung Choo-Wosoba, Paul S. Albert, Bin Zhu
A New Mathematical Model for Tumor Growth, Reduction and Metastasis, Validation with Zebrafish Melanoma and Potential Implications for Dormancy and Recurrence
Authors: Adeyinka A. Lesi, Silja Heilmann, Richard M. White, David S. Rumschitzki
A Consensus Framework Unifies Multi-Drug Synergy Metrics
Authors: David J. Wooten, Christian T. Meyer, Vito Quaranta, Carlos Lopez
#MathOnco - Book of the month
When Breath Becomes Air
We sometimes find ourselves hiding in the comfort and safety of the details of math models, neglecting to meditate on the real-world implications of the math. This book is for us.
"At the age of thirty-six, on the verge of completing a decade’s worth of training as a neurosurgeon, Paul Kalanithi was diagnosed with stage IV lung cancer. One day he was a doctor treating the dying, and the next he was a patient struggling to live."
Most clicked links of June
Mathematical Modelling of Phenotypic Selection Within Solid Tumours
Numerical optimal control of a size-structured PDE model for metastatic cancer treatment
Learning-accelerated Discovery of Immune-Tumour Interactions
Growth dynamics in naturally progressing chronic lymphocytic leukaemia
Jobs
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