Objective To explore the relationship of cuprotosis-related genes with survival rate and prognosis in patients with liver cancer.

Methods By collecting clinical information and corresponding RNA-seq data of patients with liver cancer in the TCGA database, the differential expression levels of 10 cuprotosis-related genes in liver cancer and normal tissues was analyzed. Novel liver cancer subtypes were identified through consistent clustering, and differences in overall survival and clinicopathological factors were compared between the two subtypes. Univariate Cox regression analysis was used in screening cuprotosis genes associated with prognosis, and LASSO regression analysis was used in constructing a risk model.

Results FDX1 was down-regulated, and the other nine genes were up-regulated in HCC tissues compared with normal tissues. Cluster analysis showed that the prognosis of Cluster1 was poor. Five prognostic genes (LIPT1, DLAT, MTF1, GLS, and CDKN2A) were screened out through univariate Cox regression analysis and LASSO regression analysis for risk model construction. The risk score of this prognostic model was identified as an independent prognostic factor compared with other clinical features.

Conclusion Through bioinformatics analysis, a liver cancer prognosis model of five cuprotosis-related genes is constructed, which may be used as molecular markers for tumor diagnosis and are potential therapeutic targets.