Large-scale analysis reveals a novel risk score to predict overall survival in hepatocellular carcinoma.

Zheng, Yujia; Liu, Yulin; Zhao, Songfeng; Zheng, Zhetian; Shen, Chunyi; An, Li; Yuan, Yongliang

Zheng, Yujia; Liu, Yulin; Zhao, Songfeng; Zheng, Zhetian; Shen, Chunyi; An, Li; Yuan, Yongliang.

Afiliación

Zheng Y; Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Liu Y; Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhao S; Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China, yylcpu@126.com.
Zheng Z; School of Computer Science, Yangtze University, Jingzhou, Hubei, China.
Shen C; Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
An L; Institute of Quality Standard and Testing Technology for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China, haaslian@126.com.
Yuan Y; Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China, yylcpu@126.com.

Cancer Manag Res ; 10: 6079-6096, 2018.

Article en En | MEDLINE | ID: mdl-30538557

Palabras clave

GEO; TCGA; biomarker; differentially expressed genes; hepatocellular carcinoma

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancer Manag Res Año: 2018 Tipo del documento: Article

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