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A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration.
Wei, Xueyan; Zhou, Zihan; Long, Meiying; Lin, Qiuling; Qiu, Moqin; Chen, Peiqin; Huang, Qiongguang; Qiu, Jialin; Jiang, Yanji; Wen, Qiuping; Liu, Yingchun; Li, Runwei; Nong, Cunli; Guo, Qian; Yu, Hongping; Zhou, Xianguo.
Afiliación
  • Wei X; Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Zhou Z; Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
  • Long M; Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Lin Q; Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Qiu M; Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
  • Chen P; Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Huang Q; Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Qiu J; Editorial Department of Chinese Journal of Oncology Prevention and Treatment, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Jiang Y; Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Wen Q; Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
  • Liu Y; Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Li R; Scientific Research Department, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Nong C; Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Guo Q; Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
  • Yu H; Department of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN, United States.
  • Zhou X; Department of Infectious Diseases, The 4th Affiliated Hospital of Guangxi Medical University/Liuzhou Worker's Hospital, Liuzhou, Guangxi, China.
Front Oncol ; 13: 1043203, 2023.
Article en En | MEDLINE | ID: mdl-36845708
Background: Super-enhancer (SE) refers to a regulatory element with super transcriptional activity, which can enrich transcription factors and drive gene expression. SE-related genes play an important role in the pathogenesis of malignant tumors, including hepatocellular carcinoma (HCC). Methods: The SE-related genes were obtained from the human super-enhancer database (SEdb). Data from the transcriptome analysis and related clinical information with HCC were obtained from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) database. The upregulated SE-related genes from TCGA-LIHC were identified by the DESeq2R package. Multivariate Cox regression analysis was used to construct a four-gene prognostic signature. According to the median risk score, HCC patients were divided into high-risk and low-risk group patients. Results: The Kaplan-Meier (KM) curve showed that a significantly worse prognosis was found for the high-risk group (P<0.001). In the TCGA-LIHC dataset, the area under the curve (AUC) values were 0.737, 0.662, and 0.667 for the model predicting overall survival (OS) over 1-, 3-, and 5- years, respectively, indicating the good prediction ability of our prediction model. This model's prognostic value was further validated in the LIRI-JP dataset and HCC samples (n=65). Furthermore, we found that higher infiltration level of M0 macrophages and upregulated of CTLA4 and PD1 in the high-risk group, implying that immunotherapy could be effective for those patients. Conclusion: These results provide further evidence that the unique SE-related gene model could accurately predict the prognosis of HCC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza