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Prediction method of anticancer drug response and prognosis based on the disease type classification of colon cancer by gene expression analysis

机译:基于基因表达分析的基于结肠癌疾病类型分类的抗癌药物反应和预后预测方法

摘要

PROBLEM TO BE SOLVED: To provide a method for integrally analyzing mutation of genes or the like corresponding to carcinogenesis of colon cancer based on comprehensive analysis of gene expressions of colon cancer.SOLUTION: There are provided a method for predicting responsiveness of an anti EGFR antibody or anticancer drug of a colon cancer patient comprising a process (1) of measuring expressions of cluster A gene, cluster B gene, cluster 1 gene, and cluster 2 gene, (2) a process of obtaining the coefficient of correlation between individual expression profiles of individual clusters obtained from the expressions and mean expression profile of the previously obtained individual clusters, and (3) a process of relegating the sample to a cluster having a larger coefficient of correlation between the average expression profile and cluster A and between the average expression profile and cluster B, and to a cluster having a larger coefficient of correlation between the average expression profile and cluster 1 and between the average expression profile and cluster 2.
机译:解决的问题:基于对结肠癌的基因表达的综合分析,提供一种综合分析与结肠癌致癌相关的基因等突变的方法。解决方案:提供了一种预测抗EGFR抗体的反应性的方法。或结肠癌患者的抗癌药物,其包括(1)测量簇A基因,簇B基因,簇1基因和簇2基因的表达的过程,(2)获得各个表达谱之间的相关系数的过程从先前获得的单个聚类的表达式和平均表达谱获得的单个聚类;以及(3)将样本降级为平均表达谱与聚类A之间以及平均表达之间的相关系数较大的聚类的过程轮廓和聚类B,以及平均表达式p之间具有较大相关系数的聚类rofile和簇1以及平均表达谱和簇2之间。

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