Open AccessA novel RNA sequencing‐based mi RNA signature predicts with recurrence and outcome of hepatocellular carcinoma
Author(s) -
Bai Fumao,
Zhou Huaibin,
Ma Mengni,
Guan Chen,
Lyu Jianxin,
Meng Qing H.
Publication year - 2018
Publication title -
molecular oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.332
H-Index - 88
eISSN - 1878-0261
pISSN - 1574-7891
DOI - 10.1002/1878-0261.12315
Subject(s) - hepatocellular carcinoma , microrna , oncology , medicine , proportional hazards model , cancer , biomarker , gene signature , receiver operating characteristic , carcinoma , liver cancer , bioinformatics , gene , biology , gene expression , biochemistry
Hepatocellular carcinoma ( HCC ) is the fifth most common type of cancer and the second leading cause of cancer‐related deaths worldwide. Given that the rate of HCC recurrence 5 years after liver resection is as high as 70%, patient with HCC typically has a poor outcome. A biomarker or set of biomarkers that could predict disease recurrence would have a substantial clinical impact, allowing earlier detection of recurrence and more effective treatment. With the aim of identifying a new micro RNA (mi RNA ) signature associated with HCC recurrence, we analyzed data on 306 patients with HCC for whom both mi RNA expression profiles and complete clinical information were available from The Cancer Genome Atlas database. Through this analysis, we identified a six‐mi RNA signature that could effectively predict patients’ recurrence risk; the high‐risk and low‐risk groups had significantly different recurrence‐free survival rates. Time‐dependent receiver operating characteristic analysis indicated that this signature had a good predictive performance. Multivariable Cox regression and stratified analyses demonstrated that the six‐mi RNA signature was independent of other clinical features. Functional enrichment analysis of the gene targets of the six prognostic mi RNA indicated enrichment mainly in cancer‐related pathways and important cell biological processes. Our results support use of this six‐mi RNA signature as an independent factor for predicting recurrence and outcome of patients with HCC .