Abstract

BackgroundLiver cancer is one of the most common malignancies worldwide. HCC (hepatocellular carcinoma) is the predominant pathological type of liver cancer, accounting for approximately 75–85 % of all liver cancers. Lipid metabolic reprogramming has emerged as an important feature of HCC. However, the influence of lipid metabolism-related gene expression in HCC patient prognosis remains unknown. In this study, we performed a comprehensive analysis of HCC gene expression data from TCGA (The Cancer Genome Atlas) to acquire further insight into the role of lipid metabolism-related genes in HCC patient prognosis.MethodsWe analyzed the mRNA expression profiles of 424 HCC patients from the TCGA database. GSEA(Gene Set Enrichment Analysis) was performed to identify lipid metabolism-related gene sets associated with HCC. We performed univariate Cox regression and LASSO(least absolute shrinkage and selection operator) regression analyses to identify genes with prognostic value and develop a prognostic model, which was tested in a validation cohort. We performed Kaplan-Meier survival and ROC (receiver operating characteristic) analyses to evaluate the performance of the model.ResultsWe identified three lipid metabolism-related genes (ME1, MED10, MED22) with prognostic value in HCC and used them to calculate a risk score for each HCC patient. High-risk HCC patients exhibited a significantly lower survival rate than low-risk patients. Multivariate Cox regression analysis revealed that the 3-gene signature was an independent prognostic factor in HCC. Furthermore, the signature provided a highly accurate prediction of HCC patient prognosis.ConclusionsWe identified three lipid-metabolism-related genes that are upregulated in HCC tissues and established a 3-gene signature-based risk model that can accurately predict HCC patient prognosis. Our findings support the strong links between lipid metabolism and HCC and may facilitate the development of new metabolism-targeted treatment approaches for HCC.

Highlights

  • Liver cancer is one of the most common malignancies worldwide

  • We explored the role of lipid metabolism-related genes in Hepatocellular carcinoma (HCC) patient prognosis by combining mRNA expression profiles and clinical data from The Cancer Genome Atlas (TCGA) database

  • Identification of the lipid metabolism‐related gene sets in HCC First, we identified nine gene sets associated with lipid metabolism by searching the keyword “lipid metabolism” in the MSigDB database

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Summary

Introduction

Liver cancer is one of the most common malignancies worldwide. HCC (hepatocellular carcinoma) is the predominant pathological type of liver cancer, accounting for approximately 75–85 % of all liver cancers. Lipid metabolic reprogramming has emerged as an important feature of HCC. The influence of lipid metabolismrelated gene expression in HCC patient prognosis remains unknown. Liver cancer is one of the most common malignancies worldwide [1], with HCC being the most predominant pathological types of primary liver cancer [2]. The most common treatment methods for HCC are surgical resection and systemic, comprehensive treatment [3]. Mounting evidence suggests that lipid metabolic reprogramming is strongly linked to cancer development and progression [10] and that alterations in lipid metabolism are common in HCC [11]. The effect of lipid metabolism-related gene expression in HCC patient prognosis remains unclear

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