Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice

Author:

Gkikoudi Angeliki12,Kalospyros Spyridon A.1,Triantopoulou Sotiria2,Logotheti Stella1ORCID,Softa Vasiliki3,Kappas Constantin3,Theodorou Kiki3,Laiakis Evagelia C.45ORCID,Manda Gina6ORCID,Terzoudi Georgia I.2ORCID,Georgakilas Alexandros G.1ORCID

Affiliation:

1. DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, Greece

2. Laboratory of Health Physics, Radiobiology & Cytogenetics, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, National Centre for Scientific Research “Demokritos”, 15341 Agia Paraskevi, Greece

3. Department of Medical Physics, Faculty of Medicine University of Thessaly, 41500 Larissa, Greece

4. Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA

5. Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA

6. Victor Babeș” National Institute of Pathology, 99-101 Splaiul Independentei, 050096 Bucharest, Romania

Abstract

Radiotherapy (RT) is a major part of cancer treatment. The reported variability in patient response to this modality can interfere with the continuation of best-possible care, promote side effects, and lead to long-term morbidity. Tools to predict a patient’s response to radiation could be highly useful in improving therapeutic outcomes while minimizing unnecessary and toxic exposure to radiation. This study investigates the potential of using molecular biomarkers as predictors of radiosensitivity in clinical practice. We review relative studies researching the positive correlation between various molecular biomarkers and patient radiosensitivity, including DNA damage response and repair proteins, inflammation and apoptosis markers, cell cycle regulators, and other biological markers. The clinical perspectives and applicability of these biomarkers in the prediction of radiosensitivity are also critically discussed. Conclusively, we underline the dynamics of molecular biomarkers to improve the efficacy and safety of radiotherapy in clinical practice and highlight the need for further research in this field. Identification of the most prominent markers is crucial for the personalization of therapies entailing ionizing radiation.

Funder

European Partnership on Metrology

European Union’s Horizon Europe Research and Innovation Programme

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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