This week in MathOnco 319
CAR-T, nanoparticles, drug persistence, and gamifying cancer research.
“This week in Mathematical Oncology” — Jan 30, 2025
> mathematical-oncology.org
From the editor:
This week’s issue contains articles on topics like CAR-T, nanoparticles, and drug persistence, and a book on gamifying cancer research.
Enjoy,
Jeffrey West
jeffrey.west@moffitt.org
Biopsy location and tumor-associated macrophages in predicting malignant glioma recurrence using an in-silico model
Pejman Shojaee, Edwin Weinholtz, Nadine S. Schaadt, Friedrich Feuerhake & Haralampos HatzikirouCAR T-cell and oncolytic virus dynamics and determinants of combination therapy success for glioblastoma
M. Conte, A. Xella, R. T. Woodall, K. A. Cassady, S. Branciamore, C. Brown, R. C. RockneGaming Cancer: How Building and Playing Video Games Can Accelerate Scientific Discovery (Book)
Jeff YoshimiAdvancing Cancer Drug Delivery with Nanoparticles: Challenges and Prospects in Mathematical Modeling for In Vivo and In Vitro Systems
Tozivepi Aaron Munyayi, Anine CrousTissue stresses caused by invasive tumour: a biomechanical model
Shi-Lei XuePredicting brain tumour growth patterns using a novel MRI-based tumour spread map: application to radiotherapy planning
Parandoush Abbasian, Lawrence Ryner, Boyd McCurdy, Saranya Kakumanu, Marco Essig, Niranjan Venugopal, James Guan, Marshall Pitz
A mathematical model of CAR-T cell therapy in combination with chemotherapy for malignant gliomas
Dmitry Sinelshchikov, Juan Belmonte-Beitia, Matteo ItaliaMathematical Characterization of Drug-Induced Persistence in Cancer
Ji Tae Park, Herbert Levine
Fields Thematic Program in Mathematical Oncology
Thomas Hillen, Sumaira Rehman
The Mathematical Oncology BlogJasmine Foo
Math Oncology Interviews by Thomas Hillen (YouTube)
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 paper: Personalised in silico biomechanical modelling towards the optimisation of high dose-rate brachytherapy planning and treatment against prostate cancer published in Frontiers in Physiology
Artist: Vasileios Vavourakis (in Silico Modeling Group, University of Cyprus, Cyprus)
Caption: We explored recently a novel computational approach that can enhance the accuracy of high dose-rate brachytherapy (HDR-BRT), a therapeutic modality against prostate cancer. HDR-BRT involves temporary insertion of radioactive source-carrying catheters into the prostate. However, catheter insertion is a task that is highly dependent on the experience of the treating physician which in turn defines the accuracy and therapeutic outcome of brachytherapy. In this direction, we developed a data-driven computer modeling tool that can simulate needle insertion and prostate tissue deformation during HDR-BRT. Our tool can integrate magnetic resonance imaging and ultrasound data from prostate cancer patients, and has been tested to recapitulate catheter insertion during HDR-BRT. The simulation tool ability to realistically capture this process and to accurately predict the prostate deformation is evaluated against comprehensive clinical images from cancer patients in Cyprus. This contribution demonstrates our first milestone towards a digital platform for pre-operative planning and intra-operative guidance optimization of HDR-BRT. Our efforts are now intensified in the research project PROTECT (https://protect-prostate.eu) where we will refine the modelling and image computing algorithms and tools towards high-fidelity personalized brachytherapy in prostate cancer management.
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