Combined analysis of entosis and disulfidptosis to predict the prognosis and tumor microenvironment (TME) landscape of hepatocellular carcinoma

Abstract

Background Hepatocellular carcinoma (HCC) is a common malignant digestive tract tumor worldwide. Disulfidptosis and entosis are two special cell death mechanisms. The purpose of this study was to investigate the prognostic and clinical applicability of these two cell death-related genes in HCC. Methods The R package "Deseq2" was used to conduct differential expression analysis, 22 disulfidptosis-related genes and 25 entosis-related genes were screened out to 15 differential genes, and 8 key genes were subsequently screened out by single-factor Cox regression analysis using the R package “survival”. Finally, LASSO regression analysis was performed with the R package “glment” to screen 2 prognostic genes. A prognostic prediction model was constructed based on this scoring system. Then, immunoinfiltration analysis was performed with the R packages “IBOR” and “estimate”. Drug sensitivity analysis was performed with the R package “OncoPredict” to screen for liver cancer-sensitive drugs. Results A hepatocellular carcinoma prognosis prediction model based on the KIF2C and SLC7A11 scoring system was constructed with good predictive ability, and the KIF2C and SLC7A11 scoring systems were applied to screen immunotherapy targets and sensitive drugs related to HCC.