Hepatocellular carcinoma (HCC) has been the fifth most common malignancy worldwide and is the second most common cause of tumor-related mortality globally. In China, a high proportion of patients with HCC present with an advanced stage of the disease, so HCC is a major challenge to the healthcare system and a substantial socioeconomic burden. The last decade has witnessed an expansion of the treatment landscape for HCC. Various approaches have been explored as potential conversion therapies for advanced HCC. Despite controversies, mounting data have indicated that successful conversion therapy followed by subsequent surgery is achievable in a population of patients with advanced HCC. This conversion therapy is a safe and promising treatment strategy to prolong long-term outcomes. Based on preliminary research, this review has assembled and summarized current clinical experience with and evidence of the efficacy of conversion therapies followed by subsequent surgery for advanced HCC.

Worldwide, hepatocellular carcinoma (HCC) is the most common subtype of liver cancer. However, the survival rate of patients with HCC continues to be poor. The recent literature has revealed that long non-coding RNAs (lncRNAs) and the occurrence of pyroptosis can perform a substantial task in predicting the prognosis of the respective condition along with the response to immunotherapy among HCC patients. Thus, screening and identifying lncRNAs corelated with pyroptosis in HCC patients are critical. In the current study, pyroptosis-related lncRNAs (PR-lncRNAs) have been obtained by co-expression analysis. The Least Absolute Shrinkage and Selection Operator (LASSO) and univariate and multivariate Cox regression assessments have been performed to develop a PR-lncRNA prognostic model. The risk model was analysed using Kaplan–Meier analysis, principal component analysis (PCA), functional enrichment annotation, and a nomogram. The risk model composed of five PR-lncRNAs was identified as an independent prognostic factor. The tumour immune microenvironment (TIME) was assessed using model groupings. Finally, we validated the five PR-lncRNAs in vitro using a quantitative real-time polymerase chain reaction (qRT-PCR).