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The significance of m6A RNA methylation regulators in diagnosis and subtype classification of HBV-related hepatocellular carcinoma.
Zang, Qijuan; Ju, Yalin; Liu, Siyi; Wu, Shaobo; Zhu, Chengbin; Liu, Liangru; Xu, Weicheng; He, Yingli.
Afiliación
  • Zang Q; Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta Road(W), Xi'an, 710061, Shaanxi, China.
  • Ju Y; Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Liu S; Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta Road(W), Xi'an, 710061, Shaanxi, China.
  • Wu S; Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Zhu C; Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta Road(W), Xi'an, 710061, Shaanxi, China.
  • Liu L; Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta Road(W), Xi'an, 710061, Shaanxi, China.
  • Xu W; Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta Road(W), Xi'an, 710061, Shaanxi, China.
  • He Y; Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta Road(W), Xi'an, 710061, Shaanxi, China. heyingli2000@xjtu.edu.cn.
Hum Cell ; 37(3): 752-767, 2024 May.
Article en En | MEDLINE | ID: mdl-38536633
ABSTRACT
In recent years, abnormal m6A alteration in hepatocellular carcinoma (HCC) has been a focus on investigating the biological implications. In this study, our objective is to determine whether m6A modification contributes to the progression of HBV-related HCC. To achieve this, we employed a random forest model to screen top 8 characteristic m6A regulators from 19 candidate genes. Subsequently, we developed a nomogram model that utilizes these 8 characteristic m6A regulators to predict the prevalence of HBV-related HCC. According to decision curve analysis, patients may benefit from the nomogram model. The clinical impact curves exhibited a robust predictive capability of the nomogram models. Additionally, consensus molecular subtyping was employed to identify m6A modification patterns and m6A-related gene signature. The quantification of immune cell subsets was accomplished through the implementation of ssGSEA algorithms. PCA algorithms were developed to compute the m6A score for individual tumors. Two distinct m6A modification patterns, namely cluster A and cluster B, exhibited significant correlations with distinct immune infiltration patterns and biological pathways. Notably, patients belonging to cluster B demonstrated higher m6A scores compared to those in cluster A, as determined by the m6A score metric. Furthermore, the expression of IGFBP3 proteins was validated through immunofluorescence, revealing their pronounced lower expression in tumor tissues. In summary, our study underscores the importance of m6A modification in the advancement of HBV-related HCC. This research has the potential to yield novel prognostic biomarkers and therapeutic targets for the identification of HBV-related HCC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma Hepatocelular / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: Hum Cell Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Japón
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma Hepatocelular / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: Hum Cell Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Japón