RT Journal Article
T1 A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors
A1 Jiménez-Sánchez, Juan
A1 Martínez-Rubio, Álvaro
A1 Popov, Anton
A1 Pérez-Beteta, Julián
A1 Azimzade, Youness
A1 Molina-García, David
A1 Belmonte-Beitia, Juan
A1 Calvo, Gabriel F.
A1 Pérez-García, Víctor M.
K1 Genetic heterogeneity
K1 Neoplasms
K1 Brain neoplasms
K1 Computational biology
K1 Computer simulation
K1 Cell division
K1 Heterogeneidad genética
K1 Neoplasias
K1 Neoplasias encefálicas
K1 Biología computacional
K1 Simulación por ordenador
K1 División celular
AB Increasingly complex in silico modeling approaches offer a way to simultaneously access cancerous processes at different spatio-temporal scales. High-level models, such as those based on partial differential equations, are computationally affordable and allow large tumor sizes and long temporal windows to be studied, but miss the discrete nature of many key underlying cellular processes. Individual-based approaches provide a much more detailed description of tumors, but have difficulties when trying to handle full-sized real cancers. Thus, there exists a trade-off between the integration of macroscopic and microscopic information, now widely available, and the ability to attain clinical tumor sizes. In this paper we put forward a stochastic mesoscopic simulation framework that incorporates key cellular processes during tumor progression while keeping computational costs to a minimum. Our framework captures a physical scale that allows both the incorporation of microscopic information, tracking the spatio-temporal emergence of tumor heterogeneity and the underlying evolutionary dynamics, and the reconstruction of clinically sized tumors from high-resolution medical imaging data, with the additional benefit of low computational cost. We illustrate the functionality of our modeling approach for the case of glioblastoma, a paradigm of tumor heterogeneity that remains extremely challenging in the clinical setting.
YR 2021
FD 2021-02-10
LK http://hdl.handle.net/10668/4454
UL http://hdl.handle.net/10668/4454
LA en
NO Jiménez-Sánchez J, Martínez-Rubio Á, Popov A, Pérez-Beteta J, Azimzade Y, Molina-García D, et al. A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors. PLOS Comput Biol. 2021 Feb 10;17(2):e1008266
DS RISalud
RD Apr 20, 2025