Gene Rave analysis of microarray data identifies molecular classifiers for 5 classes of parathyroid tumors.

3257Gene-Rave is a powerful statistical tool for analyzing microarray data. Based on Bayesian methods, pair-wise discrimination of classes using Gene-Rave results in typically very small sets of discriminating genes. We have used Gene-Rave to identify genes able to differentiate between 5 clinico-pathological subtypes of hyperparathyroidism. Histopathological classification of these subtypes is inherently difficult and molecular events causing these lesions are poorly understood. cDNA microarray experiments were performed on 53 parathyroid tumors and a pool of normal parathyroid tissue*. All were hybridized against the Universal Human Reference RNA (Stratagene), and the expression results normalized using loess fitting and spatial smoothing. Gene-Rave analysis of 5 subtypes or classes of tumors (sporadic: carcinoma, adenoma and hyperplasia; and familial: Multiple Endocrine Neoplasia Type 1 (MEN 1 …