Literature DB >> 30234457

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

Jayne Moquet1, Manuel Higueras2, Ellen Donovan3, Sue Boyle4, Stephen Barnard1, Clare Bricknell1, Mingzhu Sun1, Lone Gothard4, Grainne O'Brien1, Lourdes Cruz-Garcia1, Christophe Badie1, Elizabeth Ainsbury1, Navita Somaiah4.   

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 (P = 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 (P > 0.999) from those calculated by the contaminated Poisson technique. The next step will be further development and validation in a larger patient group.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30234457      PMCID: PMC6426678          DOI: 10.1667/RR15116.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  32 in total

1.  Analysis of chromosome aberrations in nuclear-power-plant workers considering the lifetime of lymphocytes.

Authors:  H W Chung; S Y Kim; E H Sohn; S W Ha
Journal:  Int J Radiat Biol       Date:  2000-07       Impact factor: 2.694

2.  Laboratory intercomparison of gene expression assays.

Authors:  C Badie; S Kabacik; Y Balagurunathan; N Bernard; M Brengues; G Faggioni; R Greither; F Lista; A Peinnequin; T Poyot; F Herodin; A Missel; B Terbrueggen; F Zenhausern; K Rothkamm; V Meineke; H Braselmann; C Beinke; M Abend
Journal:  Radiat Res       Date:  2013-07-25       Impact factor: 2.841

3.  Verification by the FISH translocation assay of historic doses to Mayak workers from external gamma radiation.

Authors:  Natalia V Sotnik; Tamara V Azizova; Firouz Darroudi; Elizabeth A Ainsbury; Jayne E Moquet; Janna Fomina; David C Lloyd; Pat A Hone; Alan A Edwards
Journal:  Radiat Environ Biophys       Date:  2015-08-30       Impact factor: 1.925

Review 4.  Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example.

Authors:  Elizabeth A Ainsbury; Volodymyr A Vinnikov; Pedro Puig; Manuel Higueras; Nataliya A Maznyk; David C Lloyd; Kai Rothkamm
Journal:  Radiat Prot Dosimetry       Date:  2013-11-25       Impact factor: 0.972

5.  Dose estimation software for radiation biodosimetry.

Authors:  Elizabeth A Ainsbury; David C Lloyd
Journal:  Health Phys       Date:  2010-02       Impact factor: 1.316

6.  Residual DNA and chromosomal damage in ex vivo irradiated blood lymphocytes correlated with late normal tissue response to breast radiotherapy.

Authors:  Melvin Lee Kiang Chua; Navita Somaiah; Roger A'Hern; Sue Davies; Lone Gothard; John Yarnold; Kai Rothkamm
Journal:  Radiother Oncol       Date:  2011-06-23       Impact factor: 6.280

Review 7.  Ionizing radiation biomarkers in epidemiological studies - An update.

Authors:  Janet Hall; Penny A Jeggo; Catharine West; Maria Gomolka; Roel Quintens; Christophe Badie; Olivier Laurent; An Aerts; Nataša Anastasov; Omid Azimzadeh; Tamara Azizova; Sarah Baatout; Bjorn Baselet; Mohammed A Benotmane; Eric Blanchardon; Yann Guéguen; Siamak Haghdoost; Mats Harms-Ringhdahl; Julia Hess; Michaela Kreuzer; Dominique Laurier; Ellina Macaeva; Grainne Manning; Eileen Pernot; Jean-Luc Ravanat; Laure Sabatier; Karine Tack; Soile Tapio; Horst Zitzelsberger; Elisabeth Cardis
Journal:  Mutat Res Rev Mutat Res       Date:  2017-01-16       Impact factor: 5.657

8.  Time, dose and ataxia telangiectasia mutated (ATM) status dependency of coding and noncoding RNA expression after ionizing radiation exposure.

Authors:  S Kabacik; G Manning; C Raffy; S Bouffler; C Badie
Journal:  Radiat Res       Date:  2015-03-04       Impact factor: 2.841

9.  The etiology of treatment-related lymphopenia in patients with malignant gliomas: modeling radiation dose to circulating lymphocytes explains clinical observations and suggests methods of modifying the impact of radiation on immune cells.

Authors:  Susannah Yovino; Lawrence Kleinberg; Stuart A Grossman; Manisha Narayanan; Eric Ford
Journal:  Cancer Invest       Date:  2013-02       Impact factor: 2.176

10.  Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer.

Authors:  Sarah L Kerns; Leila Dorling; Laura Fachal; Søren Bentzen; Paul D P Pharoah; Daniel R Barnes; Antonio Gómez-Caamaño; Ana M Carballo; David P Dearnaley; Paula Peleteiro; Sarah L Gulliford; Emma Hall; Kyriaki Michailidou; Ángel Carracedo; Michael Sia; Richard Stock; Nelson N Stone; Matthew R Sydes; Jonathan P Tyrer; Shahana Ahmed; Matthew Parliament; Harry Ostrer; Barry S Rosenstein; Ana Vega; Neil G Burnet; Alison M Dunning; Gillian C Barnett; Catharine M L West
Journal:  EBioMedicine       Date:  2016-07-20       Impact factor: 8.143

View more
  1 in total

1.  Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing.

Authors:  Lourdes Cruz-Garcia; Grainne O'Brien; Botond Sipos; Simon Mayes; Michael I Love; Daniel J Turner; Christophe Badie
Journal:  Radiat Res       Date:  2019-12-12       Impact factor: 2.841

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.