Principal component analysis (PCA)
To further analyse the clustering capability of the 8-CRLs signature for the distinct distribution pattern of patients in risk subgroups, PCA was performed to visualize the distribution of CC patients between high- and low-risk groups utilizing the whole genome, cuproptosis-related gene sets, cuproptosis-related lncRNAs and eight lncRNAs from the prediction model. The results showed that the lncRNAs included in the prediction model well separated the distribution of patients in different risk subgroups and clearly classified patients into two distinct quadrants (Fig. PCA analysis and enrichment analysis. (