1. Academic Validation
  2. Prognostic poteintial of polyamine metabolism-related genes in hepatocellular carcinoma

Prognostic poteintial of polyamine metabolism-related genes in hepatocellular carcinoma

  • Sci Rep. 2025 Jul 2;15(1):23648. doi: 10.1038/s41598-025-08496-z.
Wei Zheng # 1 Chengan Xu # 1 Qiaoqiao Yin 1 Yicheng Huang 1 Hongying Zhou 2 Guoliang Shen 3 Keyang Xu 4 Shouhao Wang 5
Affiliations

Affiliations

  • 1 Center for General Practice Medicine, Department of Infectious Diseases, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
  • 2 Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
  • 3 General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
  • 4 Faculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China. kyxu@must.edu.mo.
  • 5 Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China. qdwsh1229@126.com.
  • # Contributed equally.
Abstract

This study aimed to identify and validate prognostic genes associated with polyamine metabolism-related genes (PMRGs) in hepatocellular carcinoma (HCC), offering potential novel therapeutic targets and strategies. The HCC-related datasets and 19 PMRGs were included in this study. Prognostic genes were screened out through differential expression analysis, univariate and multivariate COX regression analysis. Subsequently, the construction of the risk model and nomogram, as well as functional enrichment and immune infiltration analysis were carried out. Ultimately, prognostic gene expression was further validated by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme linked immunosorbent assay (ELISA). SMOX, SRM, and SAT1 were identified as prognostic genes. risk score and stage were investigated as independent prognostic factors to construct nomogram. Moreover, the drug metabolism Cytochrome P450 pathway was found had a significantly enriched in different risk groups. After that, 11 immune cells differed significantly across risk groups, with Eosinophi having the highest positive/negative correlation with SAT1/SRM, respectively. Finally, SMOX and SRM were highly expressed in the HCC group, while SAT1 showed the opposite pattern. The three genes linked to PMRGs, were identified as prognostic genes for constructing risk models, which may provide a basis for understanding HCC pathogenesis.

Keywords

Hepatocellular carcinoma; Nomogram; Polyamine metabolism; Risk model.

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