PREDICTING RESPONSE TO CHEMOTHERAPY USING GENE EXPRESSION MARKERS
    6.
    发明申请
    PREDICTING RESPONSE TO CHEMOTHERAPY USING GENE EXPRESSION MARKERS 审中-公开
    使用基因表达标记对化疗的预测反应

    公开(公告)号:US20150079591A1

    公开(公告)日:2015-03-19

    申请号:US14490166

    申请日:2014-09-18

    Abstract: The present invention provides gene expression information useful for predicting whether a cancer patient is likely to have a beneficial response to treatment with chemotherapy, comprising measuring, in a biological sample comprising a breast tumor sample obtained from the patient, the expression levels of gene subsets to obtain a risk score associated with a likelihood of a beneficial response to chemotherapy, wherein the score comprises at least one of the following variables: (i) Recurrence Score, (ii) ESRI Group Score; (iii) Invasion Group Score; (iv) Proliferation Group Score; and (v) the expression level of the RNA transcript of at least one of MYBL2 and SCUBE2, or the corresponding expression product. The invention further comprises a molecular assay-based algorithm to calculate the likelihood that the patient will have a beneficial response to chemotherapy based on the risk score.

    Abstract translation: 本发明提供了可用于预测癌症患者是否可能对化疗治疗具有有益反应的基因表达信息,包括在包含从患者获得的乳腺肿瘤样品的生物样品中测量基因亚群的表达水平 获得与化疗有益反应的可能性相关的风险评分,其中所述评分包括以下变量中的至少一个:(i)复发评分,(ii)ESRI组评分; (iii)入侵小组得分; (iv)增殖组得分; 和(v)MYBL2和SCUBE2中的至少一种的RNA转录物的表达水平或相应的表达产物。 本发明还包括基于分子测定的算法来计算患者将基于风险评分对化学疗法有益的反应的可能性。

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