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Long Noncoding RNA PTTG3P Expression Is an Unfavorable Prognostic Marker for Patients With Hepatocellular Carcinoma.


ABSTRACT: OBJECTIVE:PTTG3P, which maps to chromosome 8q13.1, is a novel long noncoding RNA with oncogenic properties in cancers. In this study, we aimed to investigate the prognostic value of PTTG3P in terms of overall survival and recurrence-free survival and its potential regulatory network and transcription pattern in patients with hepatocellular carcinoma. PATIENTS AND METHODS:An in silico analysis was performed using data from the Cancer Genome Atlas-Liver Hepatocellular Carcinoma. RESULTS:Results showed that the high PTTG3P expression group was consistently associated with shorter overall survival and recurrence-free survival, regardless of pathological stages or tumor grade. High PTTG3P expression was an independent indicator of shorter overall survival (hazard ratio: 2.177, 95% confidence interval: 1.519-3.121, P < .001) and recurrence-free survival (hazard ratio: 2.222, 95% confidence interval: 1.503-3.283, P < .001). The genes strongly coexpressed with PTTG3P are enriched in several KEGG pathways that are closely associated with carcinogenesis and malignant transformation of hepatocellular carcinoma. CONCLUSION:Based on the findings, we infer that PTTG3P expression might serve as an independent prognostic biomarker in primary hepatocellular carcinoma.

SUBMITTER: Bai H 

PROVIDER: S-EPMC6909275 | biostudies-literature | 2019 Jan-Dec

REPOSITORIES: biostudies-literature

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Long Noncoding RNA PTTG3P Expression Is an Unfavorable Prognostic Marker for Patients With Hepatocellular Carcinoma.

Bai Hansong H   Luo Xing X   Liao Dongxu D   Xiong Wei W   Zeng Ming M   Zheng Bo B  

Technology in cancer research & treatment 20190101


<h4>Objective</h4><i>PTTG3P</i>, which maps to chromosome 8q13.1, is a novel long noncoding RNA with oncogenic properties in cancers. In this study, we aimed to investigate the prognostic value of <i>PTTG3P</i> in terms of overall survival and recurrence-free survival and its potential regulatory network and transcription pattern in patients with hepatocellular carcinoma.<h4>Patients and methods</h4>An <i>in silico</i> analysis was performed using data from the Cancer Genome Atlas-Liver Hepatoce  ...[more]

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