Background: Liver cancer is considered one of the prevalent malignancies, of which most are hepatocellular carcinoma (HCC). Pyroptosis is a form of inflammation that can mediate cellular programmed death. Long non-coding RNA (lncRNA) is one of the non-coding RNAs which performs powerful biological functions, and they exert an irreplaceable role in the regulation of many biological processes. However, pyroptosis-related lncRNAs expression and their correlation to the HCC patient prognosis remain to be investigated.Methods: Using The Cancer Genome Atlas (TCGA) database, we built a pyroptosis-related multi-lncRNA signature to predict the HCC patient prognosis. The least absolute shrinkage and selection operator (LASSO) Cox regression method was used to construct a pyroptosis-associated lncRNA signature to classify all HCC patients into high- and low-risk groups.Results: The low-risk group patients have a better prognosis. We identified the risk score as an independently predictor in HCC patients. Furthermore, chemotherapeutic drug sensitivity (gemcitabine, doxorubicin, mitomycin C and sorafenib), and immune cell expression (NK cells resting, Mast cells resting, M0 macrophages, Monocytes and CD8 T cells) showed significantly different infiltration degree between the two groups. We identified SC-5608, anisomycin and vancomycin as possible potential drug targets for the high-risk group patients. We performed enrichment analysis for the differential genes in the two groups of patients. Intriguingly, the result showed that targeting the wnt/β-catenin signal pathway could help to develop treatment strategies for patients with HCC. Conclusions: In conclusively, we found a signature of pyroptosis-related lncRNA for predicting independent HCC patient prognosis. The study provides new insights for reliably and accurately predicting prognosis and developing therapeutic strategies for HCC patients.