Comprehensive analysis of key lncRNAs in HCV-positive hepatocellular carcinoma
| Autor: | Mei-Ya Chen, Peizhong Chen, Jing-ping Zhou, Fei Zhou, Yang Song, Jin-Shui Pan, Li-Gang Chen, Jingqi Liu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
co-expression network
Gene ontology business.industry biomarkers General Medicine Hepatitis C hepatocellular carcinoma HCCS medicine.disease Long non-coding RNA digestive system diseases HCV Positive Differentially expressed genes Basic Research Downregulation and upregulation Hepatocellular carcinoma HCV Cancer research medicine business |
| Zdroj: | Archives of Medical Science : AMS |
| ISSN: | 1896-9151 1734-1922 |
| Popis: | IntroductionHepatocellular carcinoma (HCC) is one of the most common cancers worldwide. Despite the therapeutic advances in HCC in the past few decades, the mortality rate of HCC is still high. Hepatitis C (HCV) infection is one of the major etiological risk factors of HCCs. However, the underlying mechanisms of HCV-induced hepatocarcinogenesis remain largely unclear.Material and methodsOur study represented the comprehensive analysis of differentially expressed lncRNAs in HCV-positive HCC for the first time by analyzing the public dataset GSE17856. Co-expression network and gene ontology (GO) analysis revealed the functions of those differentially expressed lncRNAs.ResultsWe identified 256 upregulated lncRNAs and 198 downregulated lncRNAs in HCV- positive HCC compared to the normal liver tissues. Co-expression network and GO analysis showed that these lncRNAs were involved in regulating metabolism, energy pathways, proliferation and the immune response. Seven lncRNAs (LOC341056, CCT6P1, PTTG3P, LOC643387, LOC100133920, C3P1 and C22orf45) were identified as key lncRNAs and co-expressed with more than 100 differentially expressed genes (DEGs) in HCV-related HCC. Kaplan-Meier analysis showed that higher expression levels of LOC643387, PTTG3P, LOC341056, CCT6P1 and lower expression levels of C3P1 and C22orf45 were associated with shorter survival time in the TCGA dataset.ConclusionsWe believe that this study can provide novel potential therapeutic and prognostic biomarkers for HCV-positive HCC. |
| Databáze: | OpenAIRE |
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