Bio-Marker Composition for Prediction of Drug for Brain cancer Sensitivity Estimation Method for Prediction of Drug for Brain cancer Sensitivity using Bio-Marker Composition and Diagnosing Chip for Detection of Bio-Marker Composition for Prediction of Drug for Brain cancer Sensitivity

摘要

The present invention relates to a biomarker composition for determining brain tumor drug reactivity using a cancer biomarker labeling scan which is a novel learning model, capable of reliable prediction and drug labeling of brain tumor drug reactivity by predicting a haplotype biomarker including brain tumor drug reactivity function information. For determining the reactivity to a brain tumor drug, the biomarker composition composed of a combination of markers containing a variation that modulates gene expression comprises 11_12162199_T_G (marker 1), 13_113159942_A_G (marker 2), 5_181155466_T_G (marker 3), 11_65547388_T_G (marker 4), 10_11921140_T_G (marker 5), 17_55774876_T_G (marker 6), 12_40313960_G_T (marker 7), 16_1817242_T_C (marker 8), and 2_113934259_C_T (marker 9). According to the present invention, through biomarkers for drugs related to a brain tumor, it is possible to predict the susceptibility of each target genotype for a brain tumor drug, and thus effective preliminary verification is conducted not only in the field of personalized medicine but also in the discovery of new drug candidates.