Abstract
Methionine is an essential amino acid. Dietary methionine restriction is associated with decreased tumor growth in preclinical studies and extended lifespans in animal models. The mechanism by which methionine restriction inhibits tumor growth while sparing normal cells is not fully understood. In this study, we applied tensor decomposition-based feature extraction for gene selection from the gene expression profiles of two cell lines of RNA sequencing. We compared two human melanoma cell lines, A101D and MeWo. A101D is a typical cancer cell line that exhibits methionine dependence. MeWo is a methionine-independent cell line. We used the application on R, TDbasedUFE, to perform an enrichment analysis of the selected gene set. Consequently, concordance with existing research on the differences between methionine-dependent melanoma and methionine-independent melanoma was confirmed. Targeting methionine metabolism is considered a promising strategy for treating melanoma and other cancers.