PURPOSE: Despite its prominent contribution to cancer cure and palliation, around 1% to 5% of cancer patients suffer serious side effects from radiotherapy. A cardinal goal in the fields of radiobiology and oncology is to predict normal tissue radiosensitivity of a cancer patient before radiotherapy. Higher tumor control rates are likely if radiotherapy individualization could be achieved by applying predictive approaches. EXPERIMENTAL DESIGN: Here, we make use of the cytokinesis block micronucleus assay to assess radiosensitivity in cell lines derived from two different cell lineages obtained from clinically radiosensitive patients. We determined the micronucleus frequency after graded doses of ionizing radiation to primary fibroblasts and lymphoblast cell lines derived from 36 highly radiosensitive cancer patients. RESULTS: Many cell lines, following exposure to ionizing radiation, from patients with severe clinical reactions to radiotherapy showed statistically significantly higher frequencies of micronuclei than those from patients who had normal reactions to radiotherapy. One individual revealed significantly higher micronucleus frequencies in both cell lineages. Interestingly, lymphoblast cell lines from one patient showed micronucleus frequencies similar to ataxia telangiectasia mutated-deficient cells. CONCLUSIONS: These results indicate that the micronucleus assay may have use for identifying predisposition to clinical radiosensitivity, at least in a subset of patients as a component of a pretreatment radiosensitivity assay for use in the clinic.
PURPOSE: Despite its prominent contribution to cancer cure and palliation, around 1% to 5% of cancerpatients suffer serious side effects from radiotherapy. A cardinal goal in the fields of radiobiology and oncology is to predict normal tissue radiosensitivity of a cancerpatient before radiotherapy. Higher tumor control rates are likely if radiotherapy individualization could be achieved by applying predictive approaches. EXPERIMENTAL DESIGN: Here, we make use of the cytokinesis block micronucleus assay to assess radiosensitivity in cell lines derived from two different cell lineages obtained from clinically radiosensitive patients. We determined the micronucleus frequency after graded doses of ionizing radiation to primary fibroblasts and lymphoblast cell lines derived from 36 highly radiosensitive cancerpatients. RESULTS: Many cell lines, following exposure to ionizing radiation, from patients with severe clinical reactions to radiotherapy showed statistically significantly higher frequencies of micronuclei than those from patients who had normal reactions to radiotherapy. One individual revealed significantly higher micronucleus frequencies in both cell lineages. Interestingly, lymphoblast cell lines from one patient showed micronucleus frequencies similar to ataxia telangiectasia mutated-deficient cells. CONCLUSIONS: These results indicate that the micronucleus assay may have use for identifying predisposition to clinical radiosensitivity, at least in a subset of patients as a component of a pretreatment radiosensitivity assay for use in the clinic.
Authors: Pavel Lobachevsky; Lisa Woodbine; Kuang-Chih Hsiao; Sharon Choo; Chris Fraser; Paul Gray; Jai Smith; Nickala Best; Laura Munforte; Elena Korneeva; Roger F Martin; Penny A Jeggo; Olga A Martin Journal: J Mol Diagn Date: 2015-07-04 Impact factor: 5.568
Authors: Alesia Ivashkevich; Christophe E Redon; Asako J Nakamura; Roger F Martin; Olga A Martin Journal: Cancer Lett Date: 2011-12-21 Impact factor: 8.679
Authors: Matthew A Deardorff; Jonathan J Wilde; Melanie Albrecht; Emma Dickinson; Stephanie Tennstedt; Diana Braunholz; Maren Mönnich; Yuqian Yan; Weizhen Xu; María Concepcion Gil-Rodríguez; Dinah Clark; Hakon Hakonarson; Sara Halbach; Laura Daniela Michelis; Abhinav Rampuria; Eva Rossier; Stephanie Spranger; Lionel Van Maldergem; Sally Ann Lynch; Gabriele Gillessen-Kaesbach; Hermann-Josef Lüdecke; Robert G Ramsay; Michael J McKay; Ian D Krantz; Huiling Xu; Julia A Horsfield; Frank J Kaiser Journal: Am J Hum Genet Date: 2012-05-24 Impact factor: 11.025
Authors: Carsten Herskind; Christopher J Talbot; Sarah L Kerns; Marlon R Veldwijk; Barry S Rosenstein; Catharine M L West Journal: Cancer Lett Date: 2016-03-02 Impact factor: 8.679
Authors: Helen B Forrester; Peter Temple-Smith; Seungmin Ham; David de Kretser; Graeme Southwick; Carl N Sprung Journal: PLoS One Date: 2013-03-12 Impact factor: 3.240