Abstract

PurposeFerroptosis is a type of cell death that is iron dependent, a characteristic that distinguishes it from necrosis, apoptosis, and autophagy. However, the ferroptotic mechanisms for hepatitis B virus-associated hepatocellular carcinoma (HCC) remain incompletely described.MethodsTwo hepatitis B virus-associated HCC public datasets, GSE22058 (n=192) and GSE54238 (n=23), were obtained from the NCBI Gene Expression Omnibus (GEO) database. Bioinformatics methods, including weighted gene coexpression network analysis (WGCNA), Cox regression, and LASSO analysis, were used to identify signature markers for diagnosis and prognosis. CCK8, wound healing, Transwell migration/invasion, and ferroptosis assays were employed to explore the biological function of novel candidate markers weight gene coexpression network analysis.ResultsIn total, 926 differentially expressed genes (DEGs) were common between the GSE22058 and GSE54238 datasets. Following WGCNA, 515 DEGs derived from the MEturquoise gene module were employed to establish diagnosis and prognosis models in The Cancer Genome Atlas (TCGA) HCC RNA-Seq cohort (n=423). The score of the diagnostic model was strikingly upregulated in the TCGA HCC group (p<2.2e-16). The prognostic model exhibited high specificity and sensitivity in both training and validation (AUC=0.835 and 0.626, respectively), and the high-risk group showed dismal prognostic outcomes compared with the low-risk group (training: p=1.416e-10; validation: p=4.495e-02). Ubiquitin-like modifier activating enzyme 1 (UBA1) was identified among both diagnosis and prognosis signature genes, and its overexpression was associated with poor survival. We validated the expression level of UBA1 in eight pairs of HCC patient tissues and liver cancer cell lines. UBA1 silencing decreased proliferation, migration, and invasion in Huh7 cells while elevating the Fe2+ and malondialdehyde (MDA) levels. Additionally, these biological effects were recovered by oltipraz (an Nrf2 activator). Furthermore, blocking UBA1 strikingly repressed the protein expression levels of Nrf2, HO-1, NQO1, and FTH1 in the Nrf2 signal transduction pathway.ConclusionOur findings demonstrated that UBA1 participates in the development of HCC by modulating Huh7 phenotypes and ferroptosis via the Nrf2 signal transduction pathway and might be a promising diagnostic and prognostic indicator for HCC.

Highlights

  • Hepatocellular carcinoma (HCC) ranks fourth among the causes of cancer-related death worldwide [1], and hepatitis B virus (HBV) is the primary pathogenic factor [2]

  • 3,004 differentially expressed genes (DEGs) were identified between 96 pairs of HCC and noncarcinoma samples in the GSE22058 dataset using the thresholds of | Log2 (FC) | > 0.5 and p-value < 0.05, among which 1,202 DEGs were upregulated and 1,802 DEGs were downregulated (Figure 1A)

  • In the GSE54238 dataset, 4,553 DEGs were identified between 13 HCC and 10 noncarcinoma samples, among which 2,633 DEGs were upregulated and 1,920 DEGs were downregulated (Figure 1B)

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Summary

Introduction

Hepatocellular carcinoma (HCC) ranks fourth among the causes of cancer-related death worldwide [1], and hepatitis B virus (HBV) is the primary pathogenic factor [2]. No precise indicator is available for early disease diagnosis, contributing to the dismal HCC prognostic outcome. It is crucial to identify precise markers to improve HCC diagnosis and judge prognosis [5, 6]. Applying bioinformatic analysis to microarray expression patterns can help to optimize possible precise markers. The abnormal expression of UBA1, an E1 enzyme for ubiquitin-activating enzymes, is associated with lung cancer (LC) [9] and cutaneous squamous cell carcinoma (SCC) [10], revealing the potential value of UBA1 as an HCC diagnostic and prognostic marker

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