Expression pattern and prognostic value of N6-methyladenosine RNA methylation key regulators in hepatocellular carcinoma
| Autor: | Lin Fang, Jingwen Zou, Jie Mei, Wei Wei, Shao-Hua Li, Min Deng, Rong Ping Guo, Rong-Ce Zhao |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
AcademicSubjects/SCI01140
Oncology medicine.medical_specialty Adenosine Carcinoma Hepatocellular RNA methylation Health Toxicology and Mutagenesis Toxicology Methylation chemistry.chemical_compound Internal medicine Databases Genetic Protein Interaction Mapping Biomarkers Tumor Genetics medicine Cluster Analysis Humans Protein Interaction Maps Gene Genetics (clinical) AcademicSubjects/MED00305 business.industry Gene Expression Profiling Liver Neoplasms Computational Biology RNA Cancer Nomogram Prognosis medicine.disease digestive system diseases Gene Expression Regulation Neoplastic ROC Curve chemistry Hepatocellular carcinoma Original Manuscripts N6-Methyladenosine Transcriptome business |
| Zdroj: | Mutagenesis |
| ISSN: | 1464-3804 0267-8357 |
| Popis: | Hepatocellular carcinoma (HCC) is still one of the most common malignancies worldwide. The accuracy of biomarkers for predicting the prognosis of HCC and the therapeutic effect is not satisfactory. N6-methyladenosine (m6A) methylation regulators play a crucial role in various tumours. Our research aims further to determine the predictive value of m6A methylation regulators and establish a prognostic model for HCC. In this study, the data of HCC from The Cancer Genome Atlas (TCGA) database was obtained, and the expression level of 15 genes and survival was examined. Then we identified two clusters of HCC with different clinical factors, constructed prognostic markers and analysed gene set enrichment, proteins’ interaction and gene co-expression. Three subgroups by consensus clustering according to the expression of the 13 genes were identified. The risk score generated by five genes divided HCC patients into high-risk and low-risk groups. In addition, we developed a prognostic marker that can identify high-risk HCC. Finally, a novel prognostic nomogram was developed to accurately predict HCC patients’ prognosis. The expression levels of 13 m6A RNA methylation regulators were significantly upregulated in HCC samples. The prognosis of cluster 1 and cluster 3 was worse. Patients in the high-risk group show a poor prognosis. Moreover, the risk score was an independent prognostic factor for HCC patients. In conclusion, we reveal the critical role of m6A RNA methylation modification in HCC and develop a predictive model based on the m6A RNA methylation regulators, which can accurately predict HCC patients’ prognosis and provide meaningful guidance for clinical treatment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|