This week in MathOnco 160
Imaging personalization, neutral evo., microenvironmental fluctuations, comp. bio field guide, and more
“This week in Mathematical Oncology” — Newsletter
Apr. 29, 2021
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jeffrey.west@moffitt.org
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From the editor:
Summary of contents:
Imaging-based personalization in
glioma
Signatures of
neutral evolution
Microenvironmental
fluctuations
Featured artwork by
David A. Hormuth, II
A review on heterogeneity in breast cancer evolution
A new post about
cell lineages
, on the
Mathematical Oncology Blog
Enjoy,
-Jeffrey West
Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation
David A. Hormuth II, Karine A. Al Feghali, Andrew M. Elliott, Thomas E. Yankeelov, Caroline ChungSignatures of neutral evolution in exponentially growing tumors: A theoretical perspective
Hwai-Ray Tung, Rick DurrettA Voxel Model to Decipher the Role of Molecular Communication in the Growth of Glioblastoma Multiforme
Hamdan Awan, Sasitharan Balasubramaniam, Andreani OdysseosTowards decoding the coupled decision-making of metabolism and epithelial-to-mesenchymal transition in cancer
Dongya Jia, Jun Hyoung Park, Harsimran Kaur, Kwang Hwa Jung, …, Mohit Kumar Jolly, Benny Abraham Kaipparettu, José N. Onuchic, Herbert LevineMolecular Heterogeneity and Evolution in Breast Cancer
Jennifer L. Caswell-Jin, Carina Lorenz, Christina CurtisThe impact of random microenvironmental fluctuations on tumor control probability
Farinaz Forouzannia, Vahid Shahrezaei, Mohammad Kohandel
A field guide to cultivating computational biology
Anne Carpenter, Casey Greene, Piero Carnici, Benilton Carvalho, Michiel de Hoon, Stacey Finley, Kim-Anh Le Cao, Jerry Lee, Luigi Marchionni, Suzanne Sindi, Fabian Theis, Gregory Way, Jean Yang, Elana FertigHOXA9 acts as a regulatory switch in acute myeloid leukaemia and myeloproliferative neoplasms
Laure Talarmain, Matthew A. Clarke, David Shorthouse, Jasmin Fisher, Benjamin A Hall
1. Forcing cells to change lineages by cell-cell communication
The Mathematical Oncology Blog
Adam MacLean: “Megan Franke, a PhD student in our lab, came to me with an idea: a new modeling framework to combine gene regulatory networks with cell-cell communication at the single-cell level. This addressed what we saw as a rather urgent unmet need: models of gene regulatory dynamics generally dismiss any dynamic signaling processes originating outside the cell. Yet, we know: all cells exist in a noisy and tumultuous extracellular signaling milieu.”
The newsletter now has a dedicated homepage (thisweekmathonco.substack.com), which allows us to post cover artwork for each issue. Go explore the previous artwork here, and if you’d like to submit a cover for consideration please reply to this email. We encourage submissions that coincide with the release of a recent paper from your group. Today’s submission is below:
by David A. Hormuth, II – Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin
In our recent efforts to translate our pre-clinical models of glioma growth and response to the clinical setting we employed multiparametric MRI collected before and after radiation therapy to initialize and parameterize our model of tumor growth and response. Anatomical imaging was used to estimate the tumor burden, while diffusion weighted imaging was applied to estimate cell density. We then applied our modeling framework to forecast response to chemoradiation for each patient and overlaid the predicted distribution of tumor cells on anatomical images. This effort was a collaboration between the Oden Institute (Hormuth and Yankeelov) and the M.D. Anderson Cancer Center (Al Feghali, Elliott, and Chung). See the full publication in Sci Reports here.
Networks in Cancer: From Symmetry Breaking to Targeted Therapy
Guest Editor: Cristian Axenie, Roman Bauer, María Rodríguez MartínezUnderstanding the Evolutionary Dynamics and Ecology of Cancer in Treatment Resistance
Guest Editor: David BasantaFrom 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: Mathematical Immuno-Oncology postdoc (Kasia Rejniak, Moffitt)
Research Fellow in Computational Systems Biology Cancer Research (Simon Mitchell)
PhD student - Measuring cancer evolution in a changing tumour microenvironment (Xiaowei Jiang)
Postdoctoral Scholar - Genetics and Genome Sciences (Christopher McFarland)
Postdoc on colorectal cancer evolution or cancer immunotherapy (Ivana Bozic)
Postdoc on cancer/immune modeling and machine learning (Eduardo Sontag)
Early Stage Researcher: Evolutionary therapy in ovarian cancer (Ben Werner)
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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