首页> 外国专利> PREDICTION OF DRUG SENSITIVITY OF LUNG TUMORS BASED ON MOLECULAR AND GENETIC SIGNATURES

PREDICTION OF DRUG SENSITIVITY OF LUNG TUMORS BASED ON MOLECULAR AND GENETIC SIGNATURES

机译:基于分子和遗传信号的肺部药物敏感性预测

摘要

The present invention provides a method for predicting therapeutic efficacy or response to an anticancer drug or a combination of anticancer drugs in a subject having lung cancer comprising analyzing a sample obtained from the subject to determine the presence, expression level, activation level, or genotype of one or more markers to obtain a marker profile, and comparing the marker profile with known marker profiles obtained from one or more lung cancer cell lines. As such, the present invention is particularly useful in predicting therapeutic efficacy or response to one or more anticancer drugs by analyzing one or a panel of pathway biomarkers and/or mutated genes in tumor tissue obtained from a subject with lung cancer to guide treatment options for the subject based upon similarities in marker profiles obtained from the tumor tissue and lung cancer cell lines and the drug sensitivity of those lung cancer cell lines.
机译:本发明提供了在患有肺癌的受试者中预测治疗功效或对抗癌药或抗癌药组合的反应的方法,其包括分析从受试者获得的样品以确定其存在,表达水平,活化水平或基因型。一种或多种标志物以获得标志物特征,并将标志物特征与从一种或多种肺癌细胞系获得的已知标志物特征进行比较。这样,通过分析从患有肺癌的受试者获得的肿瘤组织中的一个或一组途径生物标志物和/或突变基因,本发明在预测治疗功效或对一种或多种抗癌药的反应中特别有用。该受试者基于从肿瘤组织和肺癌细胞系获得的标志物谱的相似性以及那些肺癌细胞系的药物敏感性。

著录项

  • 公开/公告号EP2681552A2

    专利类型

  • 公开/公告日2014-01-08

    原文格式PDF

  • 申请/专利权人 NESTEC S.A.;

    申请/专利号EP20120708484

  • 发明设计人 GONG HUA;SINGH SHARAT;

    申请日2012-03-02

  • 分类号G01N33/50;G01N33/574;

  • 国家 EP

  • 入库时间 2022-08-21 15:47:25

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号