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Abstract

The present invention assists in prospectively predicting the metastatic likelihood, and thereby, the likely clinical outcome of breast cancer patients, based on the genotype of the patient, in particular, by determining the relative expression level of a set of genes, or subsets thereof. The present invention provides use of an expression level of a gene set for the identification of animals, optionally patients, likely to progress to an invasive phenotype, the gene set comprising at least some of the genes selected from ABCA1, ADD3, ADFP, ADM, ALDH1A3, AQP3, ARIIGAP26, B2M, BAT2D1, BIRC3, BRWD1, C18ORF1, CBLB, CD44, CHKB, CHPT1, CMKOR1, CXCL12, DBN1, EEF1A2, FAS, FLJ11000, FLJ11286, FLRT3, HLA-A, HLA-B, HLA-C, HLA-DMA, HLA-DRB1, HLA-DRB4, HLA-DRB5, HLA-F, HLA-G, HNRPD, IFIT-M1, IFITM3, INHBB, ISG20, JAG1, JAG2, KITLG, LAMC1, LAP3, LGALS3BP, MYO1B, NME4, PLCB1, PRLR, PSMB9, PXN, RAB14, SEMA3C, SEPP1, SLC6A8, SP100, SP110, STS, TAP1, TMEPAI, TNFSF10, TRAM1, TRIM14, and WSB1. Methods, arrays and kits for the identification of animals, optionally patients, likely to progress to an invasive phenotype, are also described.

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First Claim