Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice
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 us...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/23/12564 |
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| author | Angeliki Gkikoudi Spyridon A. Kalospyros Sotiria Triantopoulou Stella Logotheti Vasiliki Softa Constantin Kappas Kiki Theodorou Evagelia C. Laiakis Gina Manda Georgia I. Terzoudi Alexandros G. Georgakilas |
| author_facet | Angeliki Gkikoudi Spyridon A. Kalospyros Sotiria Triantopoulou Stella Logotheti Vasiliki Softa Constantin Kappas Kiki Theodorou Evagelia C. Laiakis Gina Manda Georgia I. Terzoudi Alexandros G. Georgakilas |
| author_sort | Angeliki Gkikoudi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T01:56:04Z |
| format | Article |
| id | doaj.art-c4033d0681a14b8b9e298da249363b60 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T01:56:04Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c4033d0681a14b8b9e298da249363b602023-12-08T15:10:59ZengMDPI AGApplied Sciences2076-34172023-11-0113231256410.3390/app132312564Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical PracticeAngeliki Gkikoudi0Spyridon A. Kalospyros1Sotiria Triantopoulou2Stella Logotheti3Vasiliki Softa4Constantin Kappas5Kiki Theodorou6Evagelia C. Laiakis7Gina Manda8Georgia I. Terzoudi9Alexandros G. Georgakilas10DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, GreeceDNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, GreeceLaboratory of Health Physics, Radiobiology & Cytogenetics, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, National Centre for Scientific Research “Demokritos”, 15341 Agia Paraskevi, GreeceDNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, GreeceDepartment of Medical Physics, Faculty of Medicine University of Thessaly, 41500 Larissa, GreeceDepartment of Medical Physics, Faculty of Medicine University of Thessaly, 41500 Larissa, GreeceDepartment of Medical Physics, Faculty of Medicine University of Thessaly, 41500 Larissa, GreeceDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USAVictor Babeș” National Institute of Pathology, 99-101 Splaiul Independentei, 050096 Bucharest, RomaniaLaboratory of Health Physics, Radiobiology & Cytogenetics, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, National Centre for Scientific Research “Demokritos”, 15341 Agia Paraskevi, GreeceDNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, GreeceRadiotherapy (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.https://www.mdpi.com/2076-3417/13/23/12564radiation biologyradiation therapypatient radiosensitivitymolecular biomarkersDNA damage responseinflammation |
| spellingShingle | Angeliki Gkikoudi Spyridon A. Kalospyros Sotiria Triantopoulou Stella Logotheti Vasiliki Softa Constantin Kappas Kiki Theodorou Evagelia C. Laiakis Gina Manda Georgia I. Terzoudi Alexandros G. Georgakilas Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice Applied Sciences radiation biology radiation therapy patient radiosensitivity molecular biomarkers DNA damage response inflammation |
| title | Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice |
| title_full | Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice |
| title_fullStr | Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice |
| title_full_unstemmed | Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice |
| title_short | Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice |
| title_sort | molecular biomarkers for predicting cancer patient radiosensitivity and radiotoxicity in clinical practice |
| topic | radiation biology radiation therapy patient radiosensitivity molecular biomarkers DNA damage response inflammation |
| url | https://www.mdpi.com/2076-3417/13/23/12564 |
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