A Five-Gene-Based Prognostic Signature for Hepatocellular Carcinoma

Area of Science:

• Oncology
• Genomics
• Bioinformatics

Background:

• Hepatocellular carcinoma (HCC) is a major global health concern with complex molecular underpinnings.
• Identifying reliable prognostic markers is crucial for improving patient management and treatment strategies in HCC.

Purpose of the Study:

• To identify novel prognostic marker genes for hepatocellular carcinoma (HCC).
• To develop a gene signature for predicting HCC patient prognosis using TCGA and GEO data.

Main Methods:

• Differential gene expression analysis of HCC data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.
• Gene interaction network analysis to identify core genes associated with HCC.
• Univariate and multivariate Cox regression analyses to assess prognostic significance.

Main Results:

• Analysis revealed 854 differentially expressed genes in HCC from TCGA and 214 from GEO.
• Five core genes (CDC20, TOP2A, RRM2, UBE2C, AOX1) were significantly associated with HCC prognosis.
• A risk model based on these five genes demonstrated effective prediction of HCC patient prognosis.

Conclusions:

• CDC20, TOP2A, RRM2, UBE2C, and AOX1 are identified as key genes influencing HCC prognosis.
• The developed five-gene signature offers a promising tool for accurate HCC patient prognosis prediction.