| Literature DB >> 30026854 |
Li Peng1,2, Xiao-Qing Yuan3,4, Chao-Yang Zhang1, Jiang-Yun Peng2, Ya-Qin Zhang1, Xi Pan5, Guan-Cheng Li1.
Abstract
Hepatocellular carcinoma (HCC) accounting for roughly 90% of all primary liver neoplasms is the sixth most frequent neoplasm and the second prominent reason of tumor fatality worldwide. As regulators of diverse biological processes, long non-coding RNAs (lncRNAs) are involved in onset and development of neoplasms. With the continuous booming of well-featured lncRNAs in HCC from 2016 to now, we reviewed the newly-presented comprehension about the relationship between lncRNAs and HCC in this study. To be specific, we summarized the overview function and study tools of lncRNAs, elaborated the roles of lncRNAs in HCC, and sketched the molecule mechanisms of lncRNAs in HCC. In addition, the application of lncRNAs serving as biomarkers in early diagnosis and outcome prediction of HCC patients was highlighted.Entities:
Keywords: long non-coding RNAs, hepatocellular carcinoma, function, mechanism, diagnosis; prognostic biomarker
Year: 2018 PMID: 30026854 PMCID: PMC6036883 DOI: 10.7150/jca.24560
Source DB: PubMed Journal: J Cancer ISSN: 1837-9664 Impact factor: 4.207
Main databases of long noncoding RNAs
| NO. | Database name | Availability | Characteristics # | References |
|---|---|---|---|---|
| 1 | Arraystar | analysis for expression profiling and for the regulation of RNAs, especially the regulatory ncRNAs | ― | |
| 2 | C-It-Loci | conserved loci and silico screening of tissue-enriched lncRNAs | ||
| 3 | ceRDB | miRNA binding sites for a given mRNA target | ||
| 4 | CHIPBase | the TF binding sites and motifs, co-expression patterns, ChIP-function and genome browser | ||
| 5 | Co-LncRNA | GO annotations and KEGG pathways | ||
| 6 | DIANA-LncBase v.2 | expression regulation and the annotation of MREs on the basis of "ceRNA hypothesis" | ||
| 7 | GEPIA | customizable functions analysis, such as expression, survival and correlation analysis | ||
| 8 | Linc2GO | comprehensive functional annotations on the basis of "ceRNA hypothesis" | ||
| 9 | Lnc2Cancer | relationships between lncRNA and human tumors | ||
| 10 | LncACTdb | interactions and annotations of lncRNA-miRNA-mRNA | ||
| 11 | lncATLAS | subcellular localization of lncRNAs | ||
| 12 | lnCeDB | lncRNAs acting potentially as ceRNAs | ||
| 13 | LNCipedia | basic transcript information and structure; protein coding potential and miRNA binding sites; downloads of lncRNA sequences and structures | ||
| 14 | LncRBase | transcript features, microarray probes and lncRNA expression | ||
| 15 | LncRNA2Function | functions, annotations, lncRNA expression values, associations between lncRNAs and functional terms, as well as known functions of human lncRNAs | ||
| 16 | lncRNAdb | annotations of eukaryotic lncRNAs and references information about these RNAs | ||
| 17 | LncRNADisease | lncRNA-disease association data, novel lncRNA-disease associations and curated lncRNA interactions | ||
| 18 | lncRNASNP | resources of SNPs in human/mouse lncRNAs and functional SNP selection | ||
| 19 | LncRNAWiki | as a component of ScienceWikis, it affords community-curated resource of lncRNA knowledge | ||
| 20 | LncRNome | types, chromosomal locations, descriptions on the biological functions and disease associations, protein-lncRNA interactions, and genomic variations | ||
| 21 | miRcode | Affords "whole transcriptome" human miRNA target predictions based on the GENCODE gene annotation | ||
| 22 | NONCODE | conservation annotations and lncRNAs-diseases relationships | ||
| 23 | ncRNA Expression Database (NRED) | gene expression information and ancillary data for featured ncRNAs | ||
| 24 | RegRNA2.0 | functional RNA motifs and sites | ||
| 25 | StarBase v2.0 | miR-function and ceRNA-function web tools | ||
| 26 | TANRIC | the expression profiles of lncRNAs in large patient cohorts of 20 cancer types including TCGA, CCLE and other independent datasets | ― | |
| 27 | TPGLDA | prediction of relationships of lncRNAs and diseases |
Application as diagnostic index of lncRNA in hepatocellular carcinoma patients
| LncRNAs | Functions | AUC | Sensitivity | Specificity | References |
|---|---|---|---|---|---|
| 2-lncRNA signature (PVT1 and uc002mbe.2) | distinguishes HCC patients from the healthy population | 0.764 (0.684-0.833) | 60.56 % | 90.62 % | |
| CCHE1 | discriminates tumor tissues from normal tissues | 0.9262 | ― | ― | |
| CRNDE | distinguishes tumor tissues from adjacent normal tissues in HCC | 0.699 | ― | ― | |
| DANCR | differentiates patients with HCC from HVs and patients with CHB and cirrhosis | 0.868 | 83.8 % | 72.7 % | |
| differentiates patients with HCC from CHB and cirrhosis | 0.864 | 80.8 % | 84.3 % | ||
| DGCR5 | discriminates tumor tissues from normal tissues | 0.782 | 63.3% | 83.3% | |
| LINC RP1130-1 | distinguishes HCC from adjacent normal tissues | 0.74 | ― | ― | |
| MALAT1 (plasma) | discriminates HCC patients and hepatic disease patients | 0.66 | 51.1 % | 89.3 % | |
| JPX | discriminates between HCC patients and controls | 0.814 | 100.0 % | 52.4 % | |
| JPX and AFP | discriminates between HCC patients and controls | 0.905 | 97.1 % | 72.2 % | |
| SPRY4-IT1 | differentiates HCC patients from controls | 0.702 (0.609-0.796) | 87.3 % | 50.0 % | |
| SPRY4-IT1 and AFP | differentiates HCC patients from controls | 0.800 (0.706-0.874) | 87.3 % | 65.0 % | |
| UCA1 | discriminates HCC patients from healthy controls | 0.91 | 91.4 % | 88.6 % |
Prognostic abilities of lncRNAs for hepatocellular carcinoma patients in Cox proportional hazards model
| LncRNAs | Univariate analysis | Multivariate analysis | References | ||
|---|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | ||||
| JPX (low vs. high) | 2.283 (1.211-4.304) | 0.010 | 2.294 (1.178-4.468) | 0.015 | |
| XIST (low vs. high) | 2.155 (1.136-4.088) | 0.003 | 2.207 (1.152-4.225) | 0.017 | |
| CCHE1 expression (Low vs. High) | 2.246 (0.605-5.172) | 0.027 | 0.977 (0.312-3.434) | 0.041 | |
| lncRNA SNHG15 (High vs. Low) | 3.017 (1.448-6.221) | 0.018 | 2.247 (1.331-6.255) | 0.001 | |
| SNHG20 | 4.440 (2.254-8.743) | 0.000 | 3.985 (1.981-8.017) | 0.000 | |
| lncRNA GAS5 (Low vs. High) | ― | <0.0001 | 3.257 (2.418 - 8.839) | <0.001 | |
| CARLo-5 (Low vs. High) | 3.267 (1.620-6.271) | 0.014 | 2.981 (1.316-3.952) | 0.011 | |
| SNHG3 | 4.442 (2.368-8.332) | 0.000 | 3.464 (1.820-6.594) | 0.000 | |
| CCAT2 expression (high vs low) | 2.118 (1.245-3.603) | 0.006 | 1.849 (1.064-3.213) | 0.029 | |
| UC001kfo (High vs. Low) | 1.876 (1.098-3.207) | 0.021 | 1.751 (1.017-3.015) | 0.043 | |
| lnc-DILC (low vs. high) | 2.618 (1.136-6.036) | 0.024 | 2.465 (1.03-5.9) | 0.043 | |
| CARLo-5 (Low vs. High) | 2.873 (1.669-5.852) | 0.005 | 1.810 (1.562-5.177) | 0.010 | |
| lnc-DILC (low vs. high) | 2.142 (1.025-4.477) | 0.043 | 1.499 (0.651-3.451) | 0.342 | |
| UC001kfo (High vs. Low) | 2.147 (1.260-3.658) | 0.005 | 1.975 (1.149-3.394) | 0.014 | |