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Mathematical modeling of the synergistic interplay of radiotherapy and immunotherapy in anti-cancer treatments.
Castorina, Paolo; Castiglione, Filippo; Ferini, Gianluca; Forte, Stefano; Martorana, Emanuele; Giuffrida, Dario.
Afiliación
  • Castorina P; Genomics and molecular oncology unit, Istituto Oncologico del Mediterraneo, Viagrande, Italy.
  • Castiglione F; Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Catania, Italy.
  • Ferini G; Faculty of Mathematics and Physics, Charles University, Prague, Czechia.
  • Forte S; Biotech Research Center, Technology Innovation Institute, Abu Dhabi, United Arab Emirates.
  • Martorana E; Institute for Applied Computing, National Research Council of Italy, Rome, Italy.
  • Giuffrida D; Radiotherapy Unit, REM Radioterapia, Viagrande, Italy.
Front Immunol ; 15: 1373738, 2024.
Article en En | MEDLINE | ID: mdl-38779678
ABSTRACT

Introduction:

While radiotherapy has long been recognized for its ability to directly ablate cancer cells through necrosis or apoptosis, radiotherapy-induced abscopal effect suggests that its impact extends beyond local tumor destruction thanks to immune response. Cellular proliferation and necrosis have been extensively studied using mathematical models that simulate tumor growth, such as Gompertz law, and the radiation effects, such as the linear-quadratic model. However, the effectiveness of radiotherapy-induced immune responses may vary among patients due to individual differences in radiation sensitivity and other factors.

Methods:

We present a novel macroscopic approach designed to quantitatively analyze the intricate dynamics governing the interactions among the immune system, radiotherapy, and tumor progression. Building upon previous research demonstrating the synergistic effects of radiotherapy and immunotherapy in cancer treatment, we provide a comprehensive mathematical framework for understanding the underlying mechanisms driving these interactions.

Results:

Our method leverages macroscopic observations and mathematical modeling to capture the overarching dynamics of this interplay, offering valuable insights for optimizing cancer treatment strategies. One shows that Gompertz law can describe therapy effects with two effective parameters. This result permits quantitative data analyses, which give useful indications for the disease progression and clinical decisions.

Discussion:

Through validation against diverse data sets from the literature, we demonstrate the reliability and versatility of our approach in predicting the time evolution of the disease and assessing the potential efficacy of radiotherapy-immunotherapy combinations. This further supports the promising potential of the abscopal effect, suggesting that in select cases, depending on tumor size, it may confer full efficacy to radiotherapy.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inmunoterapia / Neoplasias Límite: Humans Idioma: En Revista: Front Immunol Año: 2024 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inmunoterapia / Neoplasias Límite: Humans Idioma: En Revista: Front Immunol Año: 2024 Tipo del documento: Article País de afiliación: Italia