A Five-Gene-Based Prognostic Signature for Hepatocellular Carcinoma

Abstract

Objective: This study intends to identify potential prognostic marker genes associated with the prognosis of patients suffering from hepatocellular carcinoma (HCC) based on TCGA and GEO analysis.Methods: TCGA-LIHC cohort was downloaded and the data related to HCC were extracted from The Cancer Genome Atlas (TCGA) database and subjected to differential analysis. HCC-related gene expression datasets were retrieved from the GEO database, followed by differential analysis. After intersection of the results of TCGA and GEO databases, gene interaction analysis was performed to obtain the core genes. To identify the genes related to the prognosis of HCC patients, we conducted univariate and multivariate Cox analyses.Results: Based on differential analysis of TCGA database, 854 genes were differentially expressed in HCC, any of which might link to the occurrence and progression of HCC. Meanwhile, joint analysis of HCC-related gene expression datasets in the GEO database screened 214 genes. Five core genes CDC20, TOP2A, RRM2, UBE2C and AOX1 were significantly associated with the prognosis of HCC patients and the risk model based on these five genes effectively predicted the prognosis of HCC patients.Conclusion: Collectively, our data suggest that CDC20, TOP2A, RRM2, UBE2C and AOX1 may be the key genes affecting the prognosis of patients with HCC. The five-gene signature could accurately predict the prognosis of HCC patients.

Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning

“…In the case of our study, TOP2A was also considered as a key or core gene for the progression and development of HCC. This finding was coincided with previous studies 12,14,15,18,[20][21][22][23][24][25]27,[32][33][34][35][36]39,[41][42][43]45,46,48,50,51,[54][55][56][57][58]61 .…”

“…Our findings also showed that CDC20 was a potential key biomarker that played an crucial or essential role for the development and progression of HCC. Different existing studies also supported our findings 10,13,14,17,18,20,24,30,32,37,40,41,44,48,50,[55][56][57] .…”

“…Similarly, we proposed UBE2C as a key or core predictor for development of HCC, which was supported by various existing studies 10,18,33,36,41,44,58 . Xiong et al 94 suggested UBE2C as a potential biomarker or gene for HCC.…”

Identification of a glycolysis-related gene signature for predicting prognosis in patients with hepatocellular carcinoma

“…Compared to these gene signatures, our gene signature had the following features: first, our gene signature was established based on five GRGs that were independently associated with HCC prognosis. Considering the vital role of glycolysis in tumor development and progression, our gene signature is surely to have a better predictive performance than the previous predictive models [ 58 – 61 ]; second, some of the previous gene signatures lacked external validation using other datasets [ 60 ], consequently, we used the ICGC-LIRI—JP as an external validation cohort to verify the results of this study, which showed that the gene signature had good predictive performance.…”

A T-cell-related signature for prognostic stratification and immunotherapy response in hepatocellular carcinoma based on transcriptomics and single-cell sequencing

“…3 C–D). We also compared our signature with 10 other established prognostic signatures, including the Zhao signature [ 27 ], Liu signature [ 28 ], Fu signature [ 29 ], Wang signature[ 30 ], Zhigang signature [ 31 ], Yang signature [ 32 ], Liang signature [ 33 ], Tang signature [ 34 ], Li signature [ 35 ], and Tian signature [ 36 ]. Interestingly, our TRPS had the highest C-index compared with these 10 established prognostic signatures, suggesting that our TRPS had a relatively better performance in predicting the prognosis of HCC than some of the other signatures (Fig.…”