Open Access<p>Competing Endogenous RNA (ceRNA) Network Analysis of Autophagy-Related Genes in Hepatocellular Carcinoma</p>
Author(s) -
Caifeng Yang,
Yixiu Wang,
Weijie Xue,
Yuwei Xie,
Qi Dong,
Chengzhan Zhu
Publication year - 2020
Publication title -
pharmacogenomics and personalized medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.845
H-Index - 28
ISSN - 1178-7066
DOI - 10.2147/pgpm.s267563
Subject(s) - competing endogenous rna , nomogram , autophagy , kegg , microrna , proportional hazards model , gene , univariate , medicine , oncology , hepatocellular carcinoma , survival analysis , biology , cancer research , transcriptome , long non coding rna , rna , multivariate statistics , gene expression , genetics , machine learning , computer science , apoptosis
Autophagy plays an important role in the occurrence and development of hepatocellular carcinoma (HCC). We aimed to develop an autophagy-related genes signature predicting the prognosis of HCC and to depict a competing endogenous RNA (ceRNA) network.