Conclusions
PCa
INFILTRATION
In this study, a novel cuproptosis-related lncRNA signature was constructed via machine learning algorithms, along with a nomogram developed based on it and other available common clinical traits, both of which can accurately and reliably predict the DFS of PCa. The prognosis signature was closely associated with several common clinical traits, immune cell infiltration, immune-related functions, immune checkpoints, gene mutation, TMB, MSI, and drug sensitivity, which may be useful to improve the precision treatment and clinical outcome of PCa patients.