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Apelin (APLN) is a biomarker contributing to the diagnosis and prognosis of hepatocellular carcinoma.
Mao, Xi; Zhu, Xiaoya; Pan, Tong; Liu, Zehui; Shangguan, Pingping; Zhang, Yi; Liu, Yingle; Jiang, Xiwen; Zhang, Qi.
Afiliação
  • Mao X; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
  • Zhu X; Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan, China.
  • Pan T; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
  • Liu Z; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
  • Shangguan P; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
  • Zhang Y; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
  • Liu Y; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
  • Jiang X; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China. mvlwu@whu.edu.cn.
  • Zhang Q; Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan, China. mvlwu@whu.edu.cn.
Sci Rep ; 14(1): 20441, 2024 09 03.
Article em En | MEDLINE | ID: mdl-39227683
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Carcinoma Hepatocelular / Apelina / Neoplasias Hepáticas Limite: Female / Humans / Male Idioma: En Revista: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Carcinoma Hepatocelular / Apelina / Neoplasias Hepáticas Limite: Female / Humans / Male Idioma: En Revista: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido