Identification of a thirteen-gene signature predicting overall survival for hepatocellular carcinoma | Zendy

Xiaohan Zhou | Zendy; Chengdong Liu | Zendy; Hanyi Zeng | Zendy; Dehua Wu | Zendy; Li Liu | Zendy

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Identification of a thirteen-gene signature predicting overall survival for hepatocellular carcinoma

Author(s) -

Xiaohan Zhou,

Chengdong Liu,

Hanyi Zeng,

Dehua Wu,

Li Liu

Publication year - 2021

Publication title -

bioscience reports

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.938

H-Index - 77

eISSN - 1573-4935

pISSN - 0144-8463

DOI - 10.1042/bsr20202870

Subject(s) - nomogram , hepatocellular carcinoma , oncology , gene signature , proportional hazards model , medicine , univariate , stromal cell , lasso (programming language) , framingham risk score , gene , biology , gene expression , disease , multivariate statistics , mathematics , biochemistry , statistics , world wide web , computer science

Hepatocellular carcinoma (HCC) is a malignant tumor of the digestive system characterized by mortality rate and poor prognosis. To indicate the prognosis of HCC patients, lots of genes have been screened as prognostic indicators. However, the predictive efficiency of single gene is not enough. Therefore, it is essential to identify a risk-score model based on gene signature to elevate predictive efficiency.

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