ArticleScientific reports2024
Apelin (APLN) is a biomarker contributing to the diagnosis and prognosis of hepatocellular carcinoma.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- International Union of Basic and Clinical Pharmacology. CXXI. Apelin receptor pharmacology in the human cardiovascular system and emerging clinical applications.Pharmacological reviews · 2026Review
- How Traditional Chinese Medicine Works: Biological Mechanisms and Clinical Evidence for Hepatocellular Carcinoma Treatment.Drug design, development and therapy · 2026Review
- Systematic analysis of the expression profiles and prognostic values of the FAM72 family in liver cancer.Biochemistry and biophysics reports · 2025Article
- Apelin/APJ: Another Player in the Cancer Biology Network.International journal of molecular sciences · 2025Review
- Therapeutic potential of valsartan in overcoming chemoresistance in human glioblastoma.Science progressArticle
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9 authors.
Funding
Abstract
Liver cancer, classified as a malignant hepatic tumor, can be divided into two categories: primary, originating within the liver, and secondary, resulting from metastasis to the liver from other organs. Hepatocellular carcinoma (HCC) is the main form of primary liver cancer and the third leading cause of cancer-related deaths. The diagnosis and prognosis of HCC using current methods still face numerous challenges. This study aims to develop novel diagnostic and prognostic models while identifying new biomarkers for improved HCC treatment. Diagnostic and prognostic models for HCC were constructed using traditional binary classification methods and machine learning algorithms based on the TCGA database (Downloaded in August 2023). The mechanisms by which APLN (Apelin) affects HCC were investigated using single-cell sequencing data sourced from the GEO database (GSE149614). The diagnostic models yielded by various algorithms could effectively distinguished HCC samples from normal ones. The prognostic model, composed of four genes, was constructed using LASSO and Cox regression algorithms, demonstrating good performance in predicting the three-year survival rate of HCC patients. The HCC biomarker Apelin (APLN) was identified in this study. APLN in liver cancer tissues mainly comes from endothelial cells and is associated with the carcinogenesis of these cells. APLN expression is significantly upregulated in liver cancer tissues, marking it as a viable indicator of endothelial cell malignancy in HCC. Furthermore, APLN expression was determined to be an independent predictor of tumor endothelial cell carcinogenesis, unaffected by its modifications such as single nucleotide variation, copy number variation, and methylation. Additionally, liver cancers characterized by high APLN expression are likely to progress rapidly after T2 stage. Our study presents diagnostic and prognostic models for HCC with appreciably improved accuracy and reliability compared to previous reports. APLN is a reliable HCC biomarker and contributes to the establishment of our models.
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