Mechanisms of Cancer Cell Radioresistance: Modern Trends and Research Prospects

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology

Biophysics Pub Date : 2025-03-17 DOI:10.1134/S0006350924701161

M. G. Sharapov, E. E. Karmanova, S. V. Gudkov

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Abstract

Radiation therapy occupies one of the key places in the arsenal of cancer treatment methods. This non-invasive method has been actively used for many decades and has demonstrated high effectiveness in combating various types of malignant neoplasms. Despite significant progress in ionizing radiation delivery technologies and the introduction of targeted radiosensitizers and immunotherapy, classical radiation therapy faces limitations related to radioresistance of tumor cells. This is due to a variety of factors, such as genetic mutations, metabolic features of cancer cells, their ability to repair DNA, the presence of a tumor microenvironment, and many others. Radioresistance of tumors reduces the success of treatment, which makes it necessary to search for new approaches to improve the effectiveness of radiation therapy. This review discusses the basic principles of radiation therapy and the properties of cancer cells that affect their radiosensitivity. Both the existing methods of overcoming cancer cell radioresistance and the prospects for their further development are being considered, which can significantly improve the effectiveness of cancer treatment.

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来源期刊

Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.