#MathOnco Issue 24: multi-drug therapy resistance; go-or-grow models of glioma; metastasis models; immune response models
This week in
Mathematical Oncology
June 28, 2018 ~ Issue 24
From the editor
This week in math oncology: resistance to multi-drug therapy, go-or-grow models of glioma, a few metastasis models and a few immune response models. Thank you to all who have reached out to send me new publications or to say that you enjoy reading!
-Jeffrey West
#MathOnco Publications
Current CRISPR gene drive systems are likely to be highly invasive in wild populations
Authors: Charleston Noble, Ben Adlam, George M Church, Kevin M Esvelt, Martin A Nowak
Traveling Waves of a Go-or-Grow Model of Glioma Growth
Authors: Tracy L. Stepien , Erica M. Rutter, and Yang Kuang
Immune interconnectivity of anatomically distant tumors as a potential mediator of systemic responses to local therapy
Authors: Rachel Walker, Jan Poleszczuk, Shari Pilon-Thomas, Sungjune Kim, Alexander A. R. A. Anderson, Brian J. Czerniecki, Louis B. Harrison, Eduardo G. Moros & Heiko Enderling
#MathOnco Preprints
A mathematical model for chemoimmunotherapy of chronic lymphocytic leukemia
Authors: D.S. Rodrigues, P.F. de Arruda Mancera, T. de Carvalho, L.F. Gonçalves
Inferring rates of metastatic dissemination using stochastic network models
Authors: Philip Gerlee, Mia Johansson
Modeling continuous levels of resistance to multidrug therapy in cancer
Authors: Heyrim Cho, Doron Levy
#MathOnco News
Reducing Normal Tissue Toxicity in Cancer Treatment Using Temporally Feathered, Intensity-Modulated Radiation Therapy
Jacob G Scott: "The study presents a theoretical model and rationale behind TFRT that allows increased time for normal tissue recovery between radiation doses." Says Dr. Scott: "The study presents a theoretical model and rationale behind TFRT that allows increased time for normal tissue recovery between radiation doses."
#MathOnco - Book of the month
Adaptive Oncogenesis
James DeGregori's new cell biology book "corrects the fundamental attribution error that has focused cancer research on malignant cells and their genes. Adaptive oncogenesis, or ‘EcoOncogenesis,’ shows that the ecosystems surrounding cells are equally important, responsible for creating selection forces that speed or slow the evolution of cancer. "
#MathOnco - Best of last month
Most clicked links of May
Mathematical modeling predicts response to chemotherapy and drug combinations in ovarian cancer
A computational framework for the personalized clinical treatment of glioblastoma multiforme
Estimating intratumoral heterogeneity from spatiotemporal data
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.