“This week in Mathematical Oncology” — December 7, 2023
> mathematical-oncology.org
From the editor:
Hello from Boston, where we are finishing up an interesting AACR Special Conference on cancer evolution. Today’s issue also includes many papers on similar topics in cancer evolution: game theory, collagen remodeling, evolutionary rescue, and more.
Thanks,
Jeffrey West
jeffrey.west@moffitt.org
Spatial simulation of autologous cell defection for cancer treatment
Jibeom ChoiA multiscale model of the role of microenvironmental factors in cell segregation and heterogeneity in breast cancer development
J. Roberto Romero-Arias, Carlos A. González-Castro, Guillermo Ramírez-SantiagoDynamics of Fibril Collagen Remodeling by Tumor Cells: A Model of Tumor-Associated Collagen Signatures
Sharan Poonja, Ana Forero Pinto, Mark C. Lloyd, Mehdi Damaghi, Katarzyna A. RejniakPredicting intratumoral fluid pressure and liposome accumulation using physics informed deep learning
Cameron Meaney, Shawn Stapleton & Mohammad KohandelReuniting philosophy and science to advance cancer research
Thomas Pradeu, Bertrand Daignan-Fornier, Andrew Ewald, Pierre-Luc Germain, …, Vanja Sisirak, Eric Solary, Sarah Yvonnet, Lucie LaplaneEvolutionary Games and Applications: Fifty Years of ‘The Logic of Animal Conflict’
Christian Hilbe, Maria Kleshnina & Kateřina StaňkováMathematical Modeling of Non-Small-Cell Lung Cancer Biology through the Experimental Data on Cell Composition and Growth of Patient-Derived Organoids
Rushan Sulimanov, Konstantin Koshelev, Vladimir Makarov, Alexandre Mezentsev, Mikhail Durymanov, Lilian Ismail, Komal Zahid, Yegor Rumyantsev, Ilya LaskovDrug dependence in cancer is exploitable by optimally constructed treatment holidays
Jeff Maltas, Shane T. Killarney, Katherine R. Singleton, Maximilian A. R. Strobl, Rachel Washart, Kris C. Wood & Kevin B. Wood
Preventing Evolutionary Rescue in Cancer
Srishti Patil, Yannick Viossat, Robert NobleSelective sweep probabilities in spatially expanding populations
Alexander Stein, Ramanarayanan Kizhuttil, Maciej Bak, Robert John NobleModelling glioblastoma resistance to temozolomide. Combination of spheroid and mathematical models to simulate cellular adaptation in vitro
Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Teodora Ranđelović, Ignacio Ochoa, Manuel Doblaré
The strain on scientific publishing
Mark A. Hanson, Pablo Gómez Barreiro, Paolo Crosetto, Dan BrockingtonSIAM LS 2024
The deadline for mini-symposium proposal for SIAM LS 2024 has been extended to Dec. 11, 2023 (11:59 p.m. Eastern Time). This is the same deadline as contributed lectures, poster and mini-symposium abstract submissions. Full details for the conference is available here. This is the conference of the SIAM Activity Group on Life Sciences.Location:
Hilton Portland Downtown
Portland, Oregon, U.S.Dates:
June 10 - 13, 2024HIP IMO Applications now open
HIP IMO is an integrated mathematical oncology-centric internship program that delivers interdisciplinary team science research experiences for high school students ages 16 or older by the time of the internship. This mentored summer training program is designed for motivated aspiring scientists to help prepare them for interdisciplinary cancer research careers. Working under the direction and guidance of faculty/scientist mentors in the Integrated Mathematical Oncology (IMO) department, interns are involved in activities designed to foster the development of life-long research skills. Students will be assigned individual research projects appropriate to their interests and abilities. A complete application and a recommendation letter from at least one of your teachers are required. Application and recommendation letter deadline: February 1, 2024 and notifications of acceptance will be sent by early March 2024.
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: Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence published in PLoS Computational Biology
Artist: Luciana M. Luque
Caption: In the past, everyone with the same type of cancer used to get the same treatment, however that one size fits all approach doesn’t work for everyone. This inherent variability of cancer lends itself to the growing field of personalized medicine, which uses information about a person’s cancer to help with the diagnosis and treatment. Within this broad context we introduce an agent-based model that reproduces a variety of spatial patterns of tissue regeneration and tumor growth. These results are a promising step in the direction of a personalized estimation of tissue dynamics from a limited number of measurements carried out at diagnosis. They could significantly contribute to the understanding of how cancer develops and to outline different therapeutic strategies to improve patient outcomes. The picture shows how the tumor growth varies based on its location within the tissue (see here for an animation).
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