发明名称 METHODS AND COMPOSITIONS FOR ASSESSING PREDICTING RESPONSIVENESS TO A TNF INHIBITOR
摘要 Methods, systems (e.g., computer systems), compositions, and kits are provided for predicting whether an individual will respond to treatment with a TNF inhibitor, for determining a treatment regimen for an individual (e.g. a therapy that does or does not include administration of a TNF inhibitor), and for treating an individual. The subject methods include measuring an expression level of an RGS1 expression product and/or an expression level of an IL11 expression product in a biological sample from an individual. In some cases, the methods include a step of calculating a TNF inhibitor signature score from measured expression levels (e.g., calculating a geometric mean of the expression levels of an RGS1 expression product and an IL11 expression product). After comparing measured expression levels and/or a calculated TNF inhibitor signature score with a reference, one can predict whether an individual will respond to treatment with a TNF inhibitor.
申请公布号 US2017121774(A1) 申请公布日期 2017.05.04
申请号 US201615336590 申请日期 2016.10.27
申请人 The Board of Trustees of the Leland Stanford Junior University 发明人 Vallania Francesco;Khatri Purvesh
分类号 C12Q1/68;G01N33/68 主分类号 C12Q1/68
代理机构 代理人
主权项 1. A method for predicting whether an individual will respond to treatment with a TNF inhibitor, the method comprising: (a) measuring an expression level of an RGS1 expression product and an expression level of an IL11 expression product in a biological sample from an individual; (b) calculating a geometric mean of said measured expression levels to obtain a TNF inhibitor signature score for the individual; and (c) generating a report that includes the TNF inhibitor signature score and a reference value for the TNF inhibitor signature score.
地址 Stanford CA US