Optimization of Size of Nanosensitizers for Antitumor Radiotherapy Using Mathematical Modeling

Int J Mol Sci. 2023 Jul 22;24(14):11806. doi: 10.3390/ijms241411806.

Abstract

The efficacy of antitumor radiotherapy can be enhanced by utilizing nonradioactive nanoparticles that emit secondary radiation when activated by a primary beam. They consist of small volumes of a radiosensitizing substance embedded within a polymer layer, which is coated with tumor-specific antibodies. The efficiency of nanosensitizers relies on their successful delivery to the tumor, which depends on their size. Increasing their size leads to a higher concentration of active substance; however, it hinders the penetration of nanosensitizers through tumor capillaries, slows down their movement through the tissue, and accelerates their clearance. In this study, we present a mathematical model of tumor growth and radiotherapy with the use of intravenously administered tumor-specific nanosensitizers. Our findings indicate that their optimal size for achieving maximum tumor radiosensitization following a single injection of their fixed total volume depends on the permeability of the tumor capillaries. Considering physiologically plausible spectra of capillary pore radii, with a nanoparticle polymer layer width of 7 nm, the optimal radius of nanoparticles falls within the range of 13-17 nm. The upper value is attained when considering an extreme spectrum of capillary pores.

Keywords: mathematical oncology; nanoparticles; numerical optimization; radiosensitizers.

MeSH terms

  • Humans
  • Models, Theoretical
  • Nanoparticles*
  • Neoplasms* / blood supply
  • Neoplasms* / radiotherapy
  • Polymers

Substances

  • Polymers