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Identification of potential biomarker genes relating to radiation sensitivity of cancer patients treated with radiotherapy Radiation is currently one of the most common treatments for all types of cancer patients (about 60-70% of all cancer cases will be treated with radiation within the time course of therapy). A significant proportion of patients treated with radiation will exhibit a variety of adverse toxic effects ranging from mild ones like fatigue, up to severe ones like pneumonitis and even death or secondary primary cancer. One of the most current challenges in radiation therapy is to secure effective tumor treatment and at the same time increase disease-free survival for the patients with minimum side effects from radiation. Different lines of evidence suggest the involvement of inflammation and oxidative stress to be the main contributors of radiation late effects. Our hypothesis is that the expression of a series of genes in blood cells associates with the radiation sensitivity of human cancer patients. Thus the identification of such genes will help us create a library of prognostic biomarkers for patients undergoing radiation therapy and optimize clinical protocols to achieve personalized therapeutic regime. METHOD Raw data from different projects were downloaded from GEO public microarray database. These data were background corrected, log2 transformed and quantile normalized, using packages (such as limma) from Bioconductor suite (an open source, open development software project to provide tools for the analysis and comprehension of high-throughput genomic data, based primarily on the R programming language). RESULTS In a project among patients with breast or head and neck cancer (GSE40640), patients were categorized as normal reactive or sensitive after being irradiated for the first time. Blood samples of these patients were collected two to three years after their first irradiation session. Immortalized cell lines were produced from every blood sample. The cell lines were irradiated (non-irradiated cells were used as controls) and the gene expression of both irradiated and non-irradiated cells was determined using microarrays. Our analysis indicated that there were no noticeable differences between the blood samples of sensitive or normal reactive patients. What we noticed, though, was that around 50 genes were differentially expressed between treated and untreated blood samples. FUTURE PLANS We are planning to compare the genes found in this project with the ones found in others. Our ultimate goal is to identify common genes which are differentially expressed among many projects. Towards that end, we will create a gene library, and a meta-analysis may be applied in order to gain further insights into the synergistic pathways from different genes or group of genes. Sensitive vs Normal Reactive for Treatment 5Gy 0 Sensitive vs Normal Reactive for Treatment 0Gy 00 0 0 0 5 00 0 0 0 29 0 0 0 0 Treatment 0Gy vs Treatment 0Gy for Normal Reactive 0 0 0 0 0 0 0 0 0 0 0 15 0 22128 Interaction Treatment 0Gy vs Treatment 0Gy for Sensitive