| Autor: |
Zhong-Hua Lin, Jie Zhang, Li-Kun Zhuang, Yong-Ning Xin, Shi-Ying Xuan |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Journal of clinical and translational hepatology. 10(5) |
| ISSN: |
2310-8819 |
| Popis: |
Generally acceptable prognostic models for hepatocellular carcinoma (HCC) are not available. This study aimed to establish a prognostic model for HCC by identifying immune-related differentially expressed genes (IR-DEGs) and to investigate the potential role ofBioinformatics analysis using The Cancer Genome Atlas and ImmPort databases was used to identify IR-DEGs. Lasso Cox regression and multivariate Cox regression analysis were used to establish a prognostic model of HCC. Kaplan-Meier analysis and the receiver operating characteristic (ROC) curves were used to evaluate the performance of the prognostic model, which was further verified in the International Cancer Genome Consortium (ICGC) database. Gene set enrichment analysis was used to explore the potential pathways ofA prognostic model established based on ten identified IR-DEGs includingAn effective prognostic model for HCC, based on a novel signature of 10 immune-related genes, was established. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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