Predictors of radiation-induced complications in radiation oncology based on cell survival tests after ex vivo exposure: literature review

Abstract

Background. Among cancer patients receiving radiotherapy about 5–15 % may have adverse reactions in normal tissues and organs that limit their treatment in a full, originally scheduled regimen. The development of biomarkers and assays for radiation oncology allowing the prediction of patients’ normal tissue toxicity requires a lot of resourses, threfore its current status amd potential directions for future research have to be periodically analyzed and re-evaluated. Purpose – this review summarizes the methodological approaches and developments in the area of functional laboratory assays based on ex vivo cell survival for the prediction of the individual clinical radiosensitivity. Materials and methods. Data for the analysis and systematization were obtained from the full-text articles published in peer review international scientific journals (in English) in 1990–2020, which were selected by the extensive search in PubMed information database and cross references on the topic “Functional cellular tests for intrinsic radiosensitivity to predict adverse radiation effects and radiotherapy complications”. Results. In theory, it might be expected that clonogenic cell survival after ex vivo irradiation can surve as the best individual predictor of radiation toxicity, as it is an integral indicator of cell damage and decline of their regenerative potential. Tendentially, fibroblasts, as a test system for such studies, did not show significant advantages over lymphocytes either in detecting inter-individual variations in the intrinsic cellular radiosensitivity or in predicting clinical radiation toxicity, even for that in skin. It was found that clonogenic cell survival assay, being very time consuming and technically demanding, also suffers from the lack of sensitivity and specificity, essential uncertainty and low reproducibility of the results, and thus is not suitable for the sceening for the abnormal intrinsic radiosensitivity. However, this type of assays is applicable for the radiobiological expertise post factum in individual cases with unexpected, extreme radiation lesions. Radiation-induced lymphocyte apoptosis assay seems to be more promising however still requires further fundamental research for better understanding of its background and more validation studies in order to assess the optimum patient groups, radiotherapy regimens and adverse effects for its confident use in clinical practice. Changes in the regulation of cell cycle check-points (radiationinduced delay) ex vivo can have either positive or inverted association, or no correlation with clinical radiation responses in tissues, thus so far cannot be included in the toolbox of applied radiobiological tests. Conclusions. To date, in the practice of clinical radiobiology, there are no fully validated and standardized functional tests based on the cell survival after ex vivo irradiation, which would allow a sufficiently accurate prediction of adverse radiation effects in normal tissues of radiotherapy patients. In general, ex vivo tests based on the evaluation of only one form of cell death in one cell type are not fully reliable as a “stand alone” assay, because different pathways of cell death probably play different roles and show different dose response within the overal reaction of the irradiated tissue or critical organ. Such tests should become a part of the multiparametric predictive platforms.