Metabolic pathways in melanoma and the role of PGC1-alpha in their regulation was carried out by the Bioinformatics Core in support of a study conducted by Drs. Smith and Osterman. A curated list of glutamine utilization genes was used for clustering on 3 different melanoma datasets. A subset of the Gln utilization and associated metabolic genes co-clustered in 2 out of 3 datasets and represent about 30% of melanoma samples. Causal upstream network construction and analysis of the co-clustered metabolic genes implicated PGC1-α among others as a key regulator. Validation of additional microarray data from the Genomics core pointed to the same regulatory hubs. Subsequently, cell growth experiments on melanoma cell lines with different PGC1-α levels showed significant correlation between PGC1-α expression level and doubling time suggesting that PGC1-α might serve as a surrogate biomarker of disease progression. These data provided preliminary results for a new R0 submitted to NCI.