In our study, we identified two gene expression patterns and generated an 8-gene-based (GPR87, KIT, SH3GL3, PVRL1, ATP1B1, CDAN1, FAU, and TNFSF14) gene signature that could recognize melanoma patients with a high risk of unfavorable clinical outcomes. The gene discussed is SH3GL3; the disease is melanoma.