Unknown,Transcriptomics,Genomics,Proteomics

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The long noncoding RNA expression profile of hepatocellular carcinoma identified by microarray analysis

ABSTRACT: To explore the potential involvement of lncRNAs in hepatocellular carcinoma (HCC) oncogenesis, we conducted lncRNA and mRNA profiling in 3 pairs of human HCC and adjacent normal tissue (NT) by microarray. With abundant probes accounting for 33,045 lncRNAs and 30,215 coding transcripts in our microarray, the number of lncRNAs and coding transcripts that could be detected here is 10,149 and 14,944, respectively. From the data, thousands of lncRNAs and mRNAs were found to bedifferentially expressed (Fold Change≥2.0) in HCC tissues compared with NT and identified 624 lncRNAs and 1050 mRNAs were differentially expressed in all three HCC tissues.Bioinformatic analysis (gene ontology, pathway and network analysis) was performed for further study of these differentially expressed mRNAs.By qRT-PCR analysis in nineteen pairs HCC and adjacent normal tissues, we found that eightl ncRNAs were aberrantly expressed in HCC compared with corresponding NT, which is consistent with microarray data. Additionally, change trends of seven lncRNAs were basically identical to their nearby coding genes. In this study, to explore the potential involvement of lncRNAs in hepatocellular carcinoma (HCC) oncogenesis, we conducted lncRNA and mRNA profiling in 3 pairs of human HCC and adjacent normal tissue (NT) by microarray.

ORGANISM(S): Homo sapiens

SUBMITTER: Hanjiang Fu

PROVIDER: E-GEOD-55191 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Recent studies show that long non-coding RNAs (lncRNAs) play crucial roles in human cancers. However, functional lncRNAs and their downstream mechanisms are largely unknown in the molecular pathogenesis of intrahepatic cholangiocarcinoma (ICC) and its progression. In the present study, we performed transcriptomic profiling of five ICC and paired adjacent noncancerous tissues (N) using lncRNA and mRNA microarrays to identify relevant biomarkers in ICC. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the microarray results. We sought correlations between the expression levels of lncRNAs and those of target genes. Clinicopathological characteristics and overall survival were compared using the t-test and the Kaplan–Meier method, respectively. A total of 3,054 and 2,111 lncRNAs were significantly up- and down-regulated(fold change?2, p?0.05) in ICC tissues compared to the adjacent NT samples. Bioinformatic analysis indicated that most such genes were related to carcinogenesis, hepatic system disease, and signal transduction. Positive correlations were evident between four pairs of lncRNAs and target mRNAs (RNA43085 and SULF1, RNA47504 and KDM8, RNA58630 and PCSK6, and RNA40057 and CYP2D6). In addition, some lncRNAs and mRNAs were significantly associated with clinicopathological characteristics. The cumulative overall survival rate was significantly associated with low-level expression of CYP2D6 (p=0.005) and PCSK6 (p=0.038). And patients with high expression levels of CYP2D6 and RNA40057 have significant better prognosis (p=0.014). Our results suggested that lncRNA expression profile in ICC tissues is profoundly different from that in NT samples. The lncRNA signature could be used as a biomarker for the prognosis of patients with ICC. Furthermore, the combination of lncRNA and mRNA can reliably predict the survival. The lncRNA expression profiles of cancer and adjacent normal tissues form 5 ICC patients were studied by microarray and an combination of lncRNA and mRNA could be used as a biomarker for the prognosis of patients with ICC