Identification and Validation of Hub Genes Predicting Prognosis of Hepatocellular Carcinoma
Autor: | Tuo Deng, Fang Wu, Sina Zhang, Gang Chen, Zhihui Lin, Haitao Yu, Ziyan Chen, Bangjie He, Zhengping Yu, Lijun Wu |
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Rok vydání: | 2021 |
Předmět: |
Hub genes
Oncology medicine.medical_specialty CENPA Training set Carcinoma Hepatocellular business.industry Proportional hazards model Gene Expression Profiling Liver Neoplasms Gastroenterology Patient data medicine.disease Prognosis digestive system diseases Risk model Internal medicine Hepatocellular carcinoma medicine Biomarkers Tumor Immunohistochemistry Humans Surgery business Proportional Hazards Models |
Zdroj: | Digestive surgery. 39(1) |
ISSN: | 1421-9883 |
Popis: | Introduction: The aim of this study is selecting the hub genes associated with hepatocellular carcinoma (HCC) to construct a Cox regression model for predicting prognosis in HCC patients. Methods: Using HCC patient data from the ICGC and TCGA databases, screened for 40 core genes highly correlated with histological grade of HCC. Univariate and multivariate Cox regression analyses were performed on the genes highly associated with HCC prognosis, and the model was established. The expression of those genes was measured by immunohistochemistry in 110 HCC patients who underwent the surgery in the First Affiliated Hospital of Wenzhou Medical University. The survival of HCC patients was analyzed by the Kaplan-Meier method. Results: Eight genes (CDC45, CENPA, MCM10, MELK, CDC20, ASF1B, FANCD2, and NCAPH) were correlated with prognosis, and the same result was observed in 110 HCC patients. Using the regression model, the HCC patients in the training set were classified as high- and low-risk groups. The overall survival of patients in the high-risk group was shorter than that in the low-risk group, and the same results were obtained in the verification set. Conclusion: This study found that the risk model according to these 8 genes can be used as a predictor of prognosis in HCC. These genes may become alternative biomarkers and therapeutic targets and provide new therapeutic strategies for HCC. |
Databáze: | OpenAIRE |
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