A unifying model for reconstructing radiosensitivity from micronucleus formation, apoptosis and abnormal morphology
Date
2002
Authors
Akudugu, J. M.
Abend, M.
Bohm, L.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
At present micronucleus data cannot predict cellular radiosensitivity. The inclusion of data from apoptosis and abnormal morphology has not entirely resolved this problem. Here, we assess the probability of cell death arising from events other than micronucleation, apoptosis and abnormal morphology (i.e. lesions not detected by these damage assays) Poe, for its ability to reflect intrinsic cellular radiosensitivity. Analysis of data from 17 cell lines used in two separate studies, spanning a wide range of radiosensitivity (0.09≤SF2≤0.70), confirmed our previous observation that cell death due to undetected lesions depends on the irradiation dose and is cell type-specific. We further demonstrate that Poe accounts for inter-cell line differences in translating irradiation damage into cell death. Data from any two of micronucleus formation, apoptosis and abnormal cell morphology, fitted to the Poe model, adequately predict clonogenic survival, and measurement of additional damage endpoints is not required. The Poe model may benefit patient selection in situations where colony formation of primary tumour cultures fails to arrive at estimates of radiosensitivity.
Description
Keywords
apoptosis, article, biological model, calculation, cancer cell culture, cell clone, cell damage, cell death, cell specificity, cell strain, cell survival, cell type, cell ultrastructure, clonogenic assay, colony formation, controlled study, correlation analysis, human, human cell, mathematical model, measurement, micronucleus, parameter, patient selection, prediction, radiation dose, radiation injury, radiation response, radiosensitivity, Apoptosis, Cell Line, Cell Survival, Dose-Response Relationship, Radiation, Humans, Micronuclei, Chromosome-Defective, Micronucleus Tests, Models, Theoretical, Radiation Tolerance, Time Factors
Citation
Radiation and Environmental Biophysics
41
4
41
4