Methods for predicting risk of metastasis in cutaneous melanoma

摘要

The present invention is directed to a method for predicting risk of metastasis, overall survival, or both, in a patient with a primary cutaneous melanoma tumor, the method comprising: (a) measuring gene expression levels of particular combinations of at least eight genes selected from the group consisting of BAP1_varA, BAP1_varB, MGP, SPP1, CXCL14, CLCA2, S100A8, BTG1, SAP130, ARG1, KRT6B, GJA, ID2, EIF1B, S100A9, CRABP2, KRT14, ROBO1, RBM23, TACSTD2, DSC1, SPRR1B, TRIM29, AQP3, TYRP1, PPL, LTA4H, and CST6, in a sample of the primary cutaneous melanoma tumor; wherein measuring gene expression levels of the at least eight genes comprises measurement of a level of fluorescence by a sequence detection system following RT-PCR of the at least eight genes; (b) determining a patient gene-expression profile signature comprising the gene expression levels of the at least eight genes; (c) comparing the patient gene-expression profile signature to a gene-expression profile of a predictive training set; and (d) providing an indication as to a risk of metastasis, overall survival or both for the primary cutaneous melanoma tumor when the patient gene expression profile indicates that the expression levels of at the least eight genes are altered in a predictive manner as compared to the gene expression profile of the predictive training set.