首页> 外国专利> METHODS, SYSTEMS AND PRODUCTS FOR PREDICTING RESPONSE OF TUMOR CELLS TO A THERAPEUTIC AGENT AND TREATING A PATIENT ACCORDING TO THE PREDICTED RESPONSE

METHODS, SYSTEMS AND PRODUCTS FOR PREDICTING RESPONSE OF TUMOR CELLS TO A THERAPEUTIC AGENT AND TREATING A PATIENT ACCORDING TO THE PREDICTED RESPONSE

机译:预测肿瘤细胞对治疗剂的反应并根据预期反应治疗患者的方法,系统和产品

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.
机译:本发明提供了用于治疗患者的方法,该方法包括预测细胞例如肿瘤细胞对用治疗剂治疗的反应的方法。这些方法涉及在细胞样本中测量蜂窝网络的一个或多个组件的水平,然后使用蜂窝计算模型为这些单元计算网络激活状态(NAS)或网络抑制状态(NIS)。网络。然后根据已计算出的NAS或NIS值预测细胞对治疗的反应。本发明还包括用于细胞响应性的预测方法,其中将细胞(例如肿瘤细胞)的NAS或NIS值的计算与统计分类算法的使用相结合。还提供了用于预测针对以ErbB信号传导途径内的组分为目标的治疗剂进行治疗的反应性的生物标志物。

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