Copy Number Variation data from non-trasformed human fibroblasts. Copy Number Variation data from non-trasformed human fibroblasts

The search for biomarkers to predict radiosensitivity is important not only to individualize radiotherapy of cancer patients but also to forecast radiation exposure risks. The aim of this study was to devise a machine learning method to stratify radiosensitivity and to investigate its association with copy number variations (CNVs) as markers of sensitivity to ionizing radiation. We used the Affymetrix CytoScan HD microarrays to for CNV estimation. Celluar radiosensitivity was measured by the clonogenic surviving fraction at 2 Gy (SF2). Overall design: Fibroblast cell cultures were maintained in DMEM culture medium supplemented with 15% fetal bovine serum, 100 units/ml penicillin, and 0.1 mg/ml streptomycin and incubated at 37 °C in 5% CO2 humidified atmosphere.