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

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

机译:ERK_MAPK ERK_MAPK ERK_MAPK生物标志物成分用于ERK_MAPK药物预测的灵敏度估算方法用于使用生物标志物成分和诊断芯片检测ERK_MAPK药物敏感性的诊断芯片来预测ERK_MAPK药物的敏感性

摘要

The present invention relates to a biomarker composition for evaluating ERK_MAPK drug responsiveness using cancer biomarker labeling scan (GBLscan), which is a new learning model capable of predicting haplotype biomarker containing ERK_MAPK drug responsiveness functional information, thereby enabling a reliable prediction and drug labeling of ERK_MAPK 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 ERK_MAPK drugs, wherein the biomarker composition comprises 2_72891611_A_C (Marker 1) and 1_8013331_A_G (Marker 2). According to the present invention, the biomarker composition enables the prediction of sensitivity to ERK_MAPK drugs by subject′s genotype by means of biomarkers to ERK_MAPK-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志物标记扫描法(GBLscan)评价ERK_MAPK药物反应性的生物标志物组合物,该新的学习模型能够预测包含ERK_MAPK药物反应性功能信息的单倍型生物标志物,从而能够可靠地预测和标记ERK_MAPK药物反应性。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ERK_MAPK药物的响应性,其中所述生物标志物组合物包含2_72891611_A_C(标志物1)和1_8013331_A_G(标志物2)。根据本发明,生物标志物组合物能够通过对ERK_MAPK相关药物的生物标志物通过受试者的基因型预测对ERK_MAPK药物的敏感性,因此不仅能够在个性化医学领域进行有效的初步测试,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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