
Integrated Proteomics and Bioinformatics to Identify Potential Prognostic Biomarkers in Hepatocellular Carcinoma
Author(s) -
Qifan Zhang,
Zhen Xiao,
Shibo Sun,
Kai Wang,
Jiang Qian,
Zhonglin Cui,
Tao Tao,
Jie Zhou
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s291811
Subject(s) - hepatocellular carcinoma , nomogram , gene , proteomics , bioinformatics , oncology , cancer , liver cancer , biology , survival analysis , medicine , computational biology , cancer research , genetics
Liver hepatocellular carcinoma (HCC) is the third most common cause of death by cancer and has a high mortality world-widely. Approximately 75-85% of primary liver cancers are caused by HCC. Uncovering novel genes with prognostic significance would shed light on improving the HCC patient's outcome.