Mathematical modeling of brain metastases growth and response to therapies: A review.

Autor: Ocaña-Tienda B; Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Avda. Camilo José Cela s/n, 13071, Ciudad Real, Spain. Electronic address: Beatriz.Ocana@uclm.es., Pérez-García VM; Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Avda. Camilo José Cela s/n, 13071, Ciudad Real, Spain. Electronic address: Victor.PerezGarcia@uclm.es.
Jazyk: angličtina
Zdroj: Mathematical biosciences [Math Biosci] 2024 Jul; Vol. 373, pp. 109207. Date of Electronic Publication: 2024 May 15.
DOI: 10.1016/j.mbs.2024.109207
Abstrakt: Brain metastases (BMs) are the most common intracranial tumor type and a significant health concern, affecting approximately 10% to 30% of all oncological patients. Although significant progress is being made, many aspects of the metastatic process to the brain and the growth of the resulting lesions are still not well understood. There is a need for an improved understanding of the growth dynamics and the response to treatment of these tumors. Mathematical models have been proven valuable for drawing inferences and making predictions in different fields of cancer research, but few mathematical works have considered BMs. This comprehensive review aims to establish a unified platform and contribute to fostering emerging efforts dedicated to enhancing our mathematical understanding of this intricate and challenging disease. We focus on the progress made in the initial stages of mathematical modeling research regarding BMs and the significant insights gained from such studies. We also explore the vital role of mathematical modeling in predicting treatment outcomes and enhancing the quality of clinical decision-making for patients facing BMs.
Competing Interests: Declaration of competing interest All authors declare that they have no conflicts of interest.
(Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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