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Prediction Of Clinical Radiosensitivity Caused By Ionising Radiation During Radiotherapy.
Funder
National Health and Medical Research Council
Funding Amount
$447,750.00
Summary
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 bio ....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.Read moreRead less
Radiotherapy (RT) is a curative anti-cancer treatment employed in around half of all cancer sufferers. Very occasionally, a cancer patient will manifest an unexpected adverse reaction to RT and there is strong evidence for a genetic basis to such RT sensitivity. Despite two decades of research, such reactions cannot currently be predicted prior to treatment and their occurrence limits the intensity, and hence cure rates, of RT for the majority of patients. This project will employ cutting edge t ....Radiotherapy (RT) is a curative anti-cancer treatment employed in around half of all cancer sufferers. Very occasionally, a cancer patient will manifest an unexpected adverse reaction to RT and there is strong evidence for a genetic basis to such RT sensitivity. Despite two decades of research, such reactions cannot currently be predicted prior to treatment and their occurrence limits the intensity, and hence cure rates, of RT for the majority of patients. This project will employ cutting edge technology (DNA Chips, or microarrays) to attempt to understand why some patients suffer significant RT side-effects, while the vast majority do not. We have developed a tissue bank of samples from cancer patients who have had adverse RT reactions, and these samples (and samples from unaffected cancer patients) will be examined by microarrays: the activity of thousands of genes will be evaluated in each experiment, and we shall search for patterns of gene activity which track with RT sensitivity. Should we determine a pattern, this pattern will be checked against a larger number of cases and if it accurately predicts RT sensitivity, could lead to the routine testing of cancer patients prior to RT and the individualisation of cancer therapy. In parallel, we will evaluate the tissues of sensitive patients with assays capable of detecting abnormalities in the response to radiation, which may give clues as to an underlying gene fault(s) which might predispose to radiosensitivity in that individual.Read moreRead less