发明授权
- 专利标题: Method for identifying predictive biomarkers from patient data
- 专利标题(中): 从患者数据中识别预测性生物标志物的方法
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申请号: US12158744申请日: 2006-12-11
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公开(公告)号: US08355874B2公开(公告)日: 2013-01-15
- 发明人: Andreas Schuppert , Rolf Burghaus , Christian Von Törne , Stephan Schwers , Udo Stropp , Harald Kallabis
- 申请人: Andreas Schuppert , Rolf Burghaus , Christian Von Törne , Stephan Schwers , Udo Stropp , Harald Kallabis
- 申请人地址: DE Leverkusen
- 专利权人: Bayer Technology Services GmbH
- 当前专利权人: Bayer Technology Services GmbH
- 当前专利权人地址: DE Leverkusen
- 代理机构: Norris McLaughlin & Marcus, P.A.
- 优先权: DE102005062163 20051222
- 国际申请: PCT/EP2006/011896 WO 20061211
- 国际公布: WO2007/079875 WO 20070719
- 主分类号: G01N33/48
- IPC分类号: G01N33/48
摘要:
The invention relates to a method for developing a biomarker for the prognosis of the result of a therapeutical treatment based on data obtained in clinical studies, data remaining unchanged by therapy being subdivided into diagnostic and genomic parameters and the marker being defined by a combination of parameters. The method according to the invention is characterized by specifying the maximum number of parameters for defining the marker and thus the maximum complexity of the system from the beginning and by carrying out the search for defining parameters by sequential combination of clinical parameters (=z parameters) and/or genomic parameters (=x parameters).
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