Signature for predicting clinical outcome in human HER2+ breast cancer
AssigneeUniversity Health Network
InventorsEldad Zacksenhaus, Jeff Liu
Life of this patent
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AssigneeUniversity Health Network
InventorsEldad Zacksenhaus, Jeff Liu
Estimating the term…
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, Cora1a, Ccl5, Cd3e, Hcls1, Vav1, Plek, Arhgdib, Il2rg, Sash3, Lck, Il2rb, Cybb, Cd79b, Sell, Ccnd2, Tnfrsf1b, Rftn1, Rac2 and Ly86; and (b) 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.
A method of treating a subject afflicted with HER2+ ERα negative breast cancer, the method comprising:
A method of treating a HER2+ ERα negative breast cancer subject in need thereof comprising:
Dependencies are inferred from the claim text.