A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is a common neoplasm located in the liver. Accumulating evidence has highlighted that long noncoding RNAs (lncRNAs) are correlated with the survival of HCC patients. This study focuses on finding a lncRNA signature to predict the prognostic risk of HCC patients.

Methods

Statistical and machine learning analyses were conducted to analyze the lncRNA expression data and corresponding clinical data of 180 HCC patients collected from the public online Tanric and The Cancer Genome Atlas (TCGA) databases.

Results

From the training dataset, we obtained the four-lncRNA model comprising RP11-495K9.6, RP11-96O20.2, RP11-359K18.3, and LINC00556 which can divide HCC patients into two different groups with significantly different prognosis

SUBMITTER: Jiang H 

PROVIDER: S-EPMC7521318 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature