a. determining a HTICs expression signature comprising determining an expression level of 2 or more HTICS biomarkers selected from Aurkb, Ccna2, Scrn1, Npy, Atp7b, Chaf1b, Ccnb1 Cldn8, Nrp1, Ccr2, C1qb, Cd74, Vcam1, Cd180, Itgb2, Cd72, St8sia4 Kif11, Plk1, Chek1, Mphosph6, Coro1a, Ccl5, Cd3e Hcls1, Vav1, Plek, Arhgdib, Il2rg, Sash3, Lck, Il2rb, Cybb, Cd79b, Sell, Ccnd2, Tnfrsf1b, Rftn1, Rac2 and Ly86; andb. calculating a signature score, the signature score comprising a sum of HTICs biomarker expression parameters;wherein a signature score greater than a selected cut-off or control signature score is indicative of a poor outcome (HTICS+) and a signature score less than a selected cut-off is indicative of a good outcome (HTICS−).;The methods can be used to prognose outcome and/or select suitable treatment. Arrays and kits for use with the methods are also provided."/> Signature for Predicting Clinical Outcome in Human HER2+ Breast Cancer
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Signature for Predicting Clinical Outcome in Human HER2+ Breast Cancer

机译:预测人类HER2 +乳腺癌临床结果的签名

摘要

A method of predicting outcome in a subject with for example Her2+ (ERα) breast cancer comprising:a. determining a HTICs expression signature comprising determining an expression level of 2 or more HTICS biomarkers selected from Aurkb, Ccna2, Scrn1, Npy, Atp7b, Chaf1b, Ccnb1 Cldn8, Nrp1, Ccr2, C1qb, Cd74, Vcam1, Cd180, Itgb2, Cd72, St8sia4 Kif11, Plk1, Chek1, Mphosph6, Coro1a, Ccl5, Cd3e Hcls1, Vav1, Plek, Arhgdib, Il2rg, Sash3, Lck, Il2rb, Cybb, Cd79b, Sell, Ccnd2, Tnfrsf1b, Rftn1, Rac2 and Ly86; andb. calculating a signature score, the signature score comprising a sum of HTICs biomarker expression parameters;wherein a signature score greater than a selected cut-off or control signature score is indicative of a poor outcome (HTICS+) and a signature score less than a selected cut-off is indicative of a good outcome (HTICS−).;The methods can be used to prognose outcome and/or select suitable treatment. Arrays and kits for use with the methods are also provided.
机译:一种预测患有例如Her2 +(ERα-)乳腺癌的受试者预后的方法,包括: a。确定HTICs表达签名包括确定选自Aurkb,Ccna2,Scrn1,Npy,Atp7b,Caf1b,Ccnb1 Cldn8,Nrp1,Ccr2,C1qb,Cd74,Vcam1,Cd180,Itgb2,Cd72,St8sia4的2种或更多种HTICS生物标志物的表达水平Kif11,Plk1,Chek1,Mphosph6,Coro1a,Ccl5,Cd3e Hcls1,Vav1,Plek,Arhgdib,Il2rg,Sash3,Lck,Il2rb,Cybb,Cd79b,Sell,Ccnd2,Tnfrsf1b,Rftn1,Rac2和Ly6和 b。计算签名分数,该签名分数包括HTICs生物标志物表达参数的总和;其中大于选择的临界值或对照标记值的签名得分指示较差的结果(HTICS +),小于选择的临界值的签名得分指示良好的结果(HTICS-)。 ;该方法可用于预后和/或选择合适的治疗方法。还提供了与该方法一起使用的阵列和试剂盒。

著录项

  • 公开/公告号US2013259858A1

    专利类型

  • 公开/公告日2013-10-03

    原文格式PDF

  • 申请/专利权人 UNIVERSITY HEALTH NETWORK;

    申请/专利号US201313829234

  • 发明设计人 JEFF LIU;ELDAD ZACKSENHAUS;

    申请日2013-03-14

  • 分类号C12Q1/68;G01N33/74;

  • 国家 US

  • 入库时间 2022-08-21 16:49:30

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