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Dicentric Dose Estimates for Patients Undergoing Radiotherapy in the RTGene Study to Assess Blood Dosimetric Models and the New Bayesian Method for Gradient Exposure.

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Date
2018-12
ICR Author
Somaiah, Navita
Gothard, Lone
Author
Moquet, J
Higueras, M
Donovan, E
Boyle, S
Barnard, S
Bricknell, C
Sun, M
Gothard, L
O'Brien, G
Cruz-Garcia, L
Badie, C
Ainsbury, E
Somaiah, N
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Type
Journal Article
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Abstract
The RTGene study was focused on the development and validation of new transcriptional biomarkers for prediction of individual radiotherapy patient responses to ionizing radiation. In parallel, for validation purposes, this study incorporated conventional biomarkers of radiation exposure, including the dicentric assay. Peripheral blood samples were taken with ethical approval and informed consent from a total of 20 patients undergoing external beam radiotherapy for breast, lung, gastrointestinal or genitourinary tumors. For the dicentric assay, two samples were taken from each patient: prior to radiotherapy and before the final fraction. Blood samples were set up using standard methods for the dicentric assay. All the baseline samples had dicentric frequencies consistent with the expected background for the normal population. For blood taken before the final fraction, all the samples displayed distributions of aberrations, which are indicative of partial-body exposures. Whole-body and partial-body cytogenetic doses were calculated with reference to a 250-kVp X-ray calibration curve and then compared to the dose to blood derived using two newly developed blood dosimetric models. Initial comparisons indicated that the relationship between these measures of dose appear very promising, with a correlation of 0.88 (<i>P</i> = 0.001). A new Bayesian zero-inflated Poisson finite mixture method was applied to the dicentric data, and partial-body dose estimates showed no significant difference (<i>P</i> > 0.999) from those calculated by the contaminated Poisson technique. The next step will be further development and validation in a larger patient group.
URI
https://repository.icr.ac.uk/handle/internal/2893
DOI
https://doi.org/10.1667/rr15116.1
Collections
  • Radiotherapy and Imaging
Subject
Chromosomes
Humans
Breast Neoplasms
Gastrointestinal Neoplasms
Lung Neoplasms
Urogenital Neoplasms
Chromosome Aberrations
Bayes Theorem
Radiometry
Radiation Dosage
Dose-Response Relationship, Radiation
Radiation, Ionizing
Adult
Aged
Middle Aged
Female
Male
Biomarkers, Tumor
Research team
Translational Breast Radiobiology
Language
eng
Date accepted
2018-08-24
License start date
2018-12
Citation
Radiation research, 2018, 190 (6), pp. 596 - 604

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