Patent ID: 8541170

Claim:
A method of detecting a thyroid condition in a patient comprising the steps of: a. obtaining a sample of thyroid tissue from said patient; b. assaying a level of expression of two or more gene expression products in said sample of thyroid tissue; c. classifying said sample of thyroid tissue as benign or normal by applying an algorithm to the expression level data from step b, wherein said algorithm produces a negative predictive value (NPV) of at least 95%, wherein said classifying is based on a level of expression in said sample of thyroid tissue of at least two of the following genes or corresponding Transcript Cluster ID Nos: ARSG, FREM2, GIMAP2, PIGN, and PLA2G16; and d. treating said patient on the basis of step (c) wherein said algorithm is trained with a training set comprising a training sample with a pathology selected from the group consisting of: metastatic melanoma, metastatic renal carcinoma, metastatic breast carcinoma, and metastatic B cell lymphoma.