首页> 外国专利> MITOSIS MITOSIS MITOSIS Bio-Marker Composition for Sensitivity Prediction of MITOSIS Drug Estimation Method for Sensitivity Prediction of MITOSIS Drug using Bio-Marker Composition and Diagnosing Chip for Detection of Bio-Marker Composition for Sensitivity Prediction of MITOSIS Drug

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

机译:MITOSIS MITOSIS MITOSIS生物标志物组合物用于MITOSIS药物的敏感性预测估计方法,用于通过MITOSIS药物敏感性预测的方法,使用生物标志物组合物和诊断芯片检测用于检测MITOSIS药物的生物标志物组合物

摘要

The present invention relates to a biomarker composition for evaluating MITOSIS drug responsiveness using cancer biomarker labeling scan (GBLscan), which is a new learning model capable of predicting haplotype biomarker containing MITOSIS drug responsiveness functional information, thereby enabling a reliable prediction and drug labeling MITOSIS drug responsiveness. In particular, the present invention relates to a biomarker composition consisting a combination of markers containing mutations regulating gene expressions for evaluation responsiveness with respect to MITOSIS drugs, wherein the biomarker composition comprises 1_85581605_TA_T (Marker 1) and 6_135201764_A_C (Marker 2). According to the present invention, the biomarker composition enables the prediction of sensitivity to MITOSIS drugs by subject′s genotype by means of biomarkers to MITOSIS-related drugs, and thus can enable an effective preliminary testing not only in the field of personalized medicine, but also in screening of new drug candidates.
机译:本发明涉及使用癌症生物标记物标记扫描法(GBLscan)评估MITOSIS药物反应性的生物标记物组合物,该生物标记物组合物是一种能够预测包含MITOSIS药物反应性功能信息的单倍型生物标记物的新的学习模型,从而能够可靠地预测和标记MITOSIS药物响应能力。特别地,本发明涉及一种生物标志物组合物,其由包含调节基因表达的突变的标志物的组合组成,以评估对于MITOSIS药物的响应性,其中该生物标志物组合物包含1_85581605_TA_T(标志物1)和6_135201764_A_C(标志物2)。根据本发明,该生物标志物组合物能够通过对MITOSIS相关药物的生物标志物来通过受试者的基因型来预测对MITOSIS药物的敏感性,因此不仅在个性化医学领域,而且能够进行有效的初步测试。还在筛选新药候选者。

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