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    METHODS AND SYSTEMS FOR PREDICTING RESPONSE OF CELLS TO A THERAPEUTIC AGENT
    1.
    发明申请
    METHODS AND SYSTEMS FOR PREDICTING RESPONSE OF CELLS TO A THERAPEUTIC AGENT 有权
    用于预测细胞对治疗剂的反应的方法和系统

    公开(公告)号：US20110159513A1

    公开(公告)日：2011-06-30

    申请号：US13058687

    申请日：2009-08-17

    申请人： Birgit Schoeberl ,  Brian Harms ,  Francis David Gibbons ,  Jonathan Basil Fitzgerald ,  Matthew David Onsum ,  Ulrik Nielsen ,  William Kubasek

    发明人： Birgit Schoeberl ,  Brian Harms ,  Francis David Gibbons ,  Jonathan Basil Fitzgerald ,  Matthew David Onsum ,  Ulrik Nielsen ,  William Kubasek

    IPC分类号： C12Q1/68 ,  G01N33/574

    CPC分类号： G01N33/6893 ,  A61K2039/505 ,  C07K16/2863 ,  C07K16/32 ,  C07K2317/31 ,  C12Q1/6809

    摘要： The invention provides methods for treating patients which methods comprise methods for predicting responses of cells, such as tumor cells, to treatment with therapeutic agents. These methods involve measuring, in a sample of the cells, levels of one or more components of a cellular network and then computing a Network Activation State (NAS) or a Network Inhibition State (NIS) for the cells using a computational model of the cellular network. The response of the cells to treatment is then predicted based on the NAS or NIS value that has been computed. The invention also comprises predictive methods for cellular responsiveness in which computation of a NAS or NIS value for the cells (e.g., tumor cells) is combined with use of a statistical classification algorithm. Biomarkers for predicting responsiveness to treatment with a therapeutic agent that targets a component within the ErbB signaling pathway are also provided.

    摘要翻译： 本发明提供了治疗患者的方法，所述方法包括用于预测细胞如肿瘤细胞的应答的方法用于治疗剂的治疗。 这些方法包括在细胞样本中测量细胞网络的一个或多个组分的水平，然后使用细胞的计算模型计算细胞的网络激活状态（NAS）或网络抑制状态（NIS） 网络。 然后基于已经计算的NAS或NIS值来预测细胞对治疗的反应。 本发明还包括用于细胞反应性的预测方法，其中使用统计分类算法将细胞（例如，肿瘤细胞）的NAS或NIS值的计算结合在一起。 还提供了用于预测用靶向ErbB信号通路中的组分的治疗剂对治疗的反应性的生物标志物。

    Methods and systems for predicting response of cells to a therapeutic agent
    2.
    发明授权
    Methods and systems for predicting response of cells to a therapeutic agent 有权
    用于预测细胞对治疗剂的反应的方法和系统

    公开(公告)号：US08623592B2

    公开(公告)日：2014-01-07

    申请号：US13058687

    申请日：2009-08-17

    申请人： Birgit Schoeberl ,  Brian Harms ,  Francis David Gibbons ,  Jonathan Basil Fitzgerald ,  Matthew David Onsum ,  Ulrik Nielsen ,  William Kubasek

    发明人： Birgit Schoeberl ,  Brian Harms ,  Francis David Gibbons ,  Jonathan Basil Fitzgerald ,  Matthew David Onsum ,  Ulrik Nielsen ,  William Kubasek

    IPC分类号： C12Q1/00 ,  C12Q1/68 ,  G01N33/574

    CPC分类号： G01N33/6893 ,  A61K2039/505 ,  C07K16/2863 ,  C07K16/32 ,  C07K2317/31 ,  C12Q1/6809

    摘要： The invention provides methods for treating patients which methods comprise methods for predicting responses of cells, such as tumor cells, to treatment with therapeutic agents. These methods involve measuring, in a sample of the cells, levels of one or more components of a cellular network and then computing a Network Activation State (NAS) or a Network Inhibition State (NIS) for the cells using a computational model of the cellular network. The response of the cells to treatment is then predicted124 based on the NAS or NIS value that has been computed. The invention also comprises predictive methods for cellular responsiveness in which computation of a NAS or NIS value for the cells (e.g., tumor cells) is combined with use of a statistical classification algorithm. Biomarkers for predicting responsiveness to treatment with a therapeutic agent that targets a component within the ErbB signaling pathway are also provided.

    摘要翻译： 本发明提供了治疗患者的方法，所述方法包括用于预测细胞如肿瘤细胞的应答的方法用于治疗剂的治疗。 这些方法包括在细胞样本中测量细胞网络的一个或多个组分的水平，然后使用细胞的计算模型计算细胞的网络激活状态（NAS）或网络抑制状态（NIS） 网络。 然后基于已经计算的NAS或NIS值来预测细胞对治疗的反应124。 本发明还包括用于细胞反应性的预测方法，其中使用统计分类算法将细胞（例如，肿瘤细胞）的NAS或NIS值的计算结合在一起。 还提供了用于预测用靶向ErbB信号通路中的组分的治疗剂对治疗的反应性的生物标志物。