Prediction of clinical radiosensitivity caused by ionising radiation during radiotherapy.

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Around one to five percent of cancer patients suffer from significant side effects in normal tissue exposed to ionizing radiation during radiotherapy. Although radiotherapy is an effective therapy for cancer treatment, the amount of radiation is generally restricted to minimize the incidence of these severe side effects (radiosensitivity). This means that individuals who don't have radiosensitivity are not getting the dose of radiation that would be most beneficial. A major goal of radiation biology research is to develop efficient predictive measures that could identify radiosensitive individuals prior to treatment. This predictive ability would enable the individualisation of radiotherapy radiation doses, which should result in improvement of tumour control rates and a reduction in the incidence of side effects associated with radiotherapy. We aim to understand radiosensitivity at the molecular level using the powerful technology of microarrays. Using microarray technology, thousands of genes can be tested for expression activity simultaneously. We have a unique tissue bank established from many radiosensitive and non-sensitive control radiotherapy patients. The use of microarray technology on samples from this unique tissue bank may enable the gene expression pattern of individuals that display radiosensitivity to be distinguished from the rest of the population. In conjunction, two additional tests will be used to determine who is susceptible to radiosensitive reactions which include assessment of a DNA repair pathway and assessment of the length of the telomeres (Caps on the ends of the chromosomes), both of which have been shown to be involved with radiosensitivy. This experimentation will hopefully lead to the development of a predictive assay for use in the clinic for cancer patients prior to receiving radiotherapy.