Literature DB >> 32188210

Competing endogenous RNA screening based on long noncoding RNA-messenger RNA co-expression profile in Hepatitis B virus-associated hepatocarcinogenesis.

Quan Wen1,2, Dong Wang1,2, Yao Yang3, Xianhua Chen4, Xiaodong Pan3, Qi Han3, Youcai Deng3, Xiaohui Li3, Xianhua Chen4, Jun Yan5, Jihong Zhou2.   

Abstract

OBJECTIVE: To profile the liver cancer specific long noncoding RNAs (lncRNAs) and competing endogenous RNA (ceRNA) networks of Hepatitis B virus (HBV)-associated hepatocarcinogensis (HCG) and to examine the effect of compound K on the expression of identified ceRNA networks.
METHODS: Based on lncRNA and messenger RNA (mRNA) microarray data of HBV-associated liver cancer, the current study profiles the cancer specific lncRNAs and ceRNA networks of HBV-associated HCG through comprehensive application of RegRNA 2, miRTarBase and Pearson correlation coefficient analysis. Compound K-treated liver cancer cells were harvested for analysis of transcriptional levels of both enoyl-CoA hydratase and 3-hydroxyacyl CoA dehydrogenase (EHHADH)-AS1 and ENTPD5.
RESULTS: The results revealed that 11 Encyclopedia of DNA Elements annotated lncRNAs were differentially expressed in the process of HBV-associated HCG. Among these lncRNAs, 95 potential ceRNA networks with highly positively correlated expression profiles between the interacting lncRNAs and mRNAs (Pearson correlation coefficient > 0.7) were constructed. Of note, two HBV-associated ceRNA networks, EHHADH-AS1-hsa-miR-4459-ectonucleoside triphosphate diphosphohydrolase 5 and LINC01018-hsa-miRNA-574-5p-glucose-6-phosphatase catalytic subunit, with Pearson correlation coefficient > 0.9, may play a critical role in hepatocellular carcinoma development, which was supported by experimental evidence. Interestingly, compound K, an intestinal bacterial metabolite of ginseng protopanaxadiol saponin, which has been proven to promote apoptosis of human hepatocellular carcinoma cells, was found to impede the down-regulation of EHHADH-AS1 in several liver cancer cell lines including HepG3B, Huh-7 and plc/prf/5 cells.
CONCLUSION: Comprehensive application of co-expression network analysis and prediction of RNA interaction may be a feasible strategy to unravel the potential ceRNA networks involved in the process of human diseases.

Entities:  

Keywords:  Carcinoma, hepatocellular; Compound K; Hepatitis B virus; RNA, long noncoding; RNA, messenger

Year:  2017        PMID: 32188210

Source DB:  PubMed          Journal:  J Tradit Chin Med        ISSN: 0255-2922            Impact factor:   0.848


  6 in total

1.  Identification of functional long non-coding RNAs in gastric cancer by bioinformatics analysis.

Authors:  Yang Li; Dongyang Ma; Tang Li; Yuan Yin
Journal:  Int J Exp Pathol       Date:  2020-07-01       Impact factor: 1.925

2.  Increased EHHADH Expression Predicting Poor Survival of Osteosarcoma by Integrating Weighted Gene Coexpression Network Analysis and Experimental Validation.

Authors:  Juncheng Cui; Guoliang Yi; Jinxin Li; Yangtao Li; Dongyang Qian
Journal:  Biomed Res Int       Date:  2021-05-03       Impact factor: 3.411

3.  Long non‑coding RNA LINC00238 suppresses the malignant phenotype of liver cancer by sponging miR‑522.

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Journal:  Mol Med Rep       Date:  2022-01-11       Impact factor: 2.952

Review 4.  Direct Interaction of miRNA and circRNA with the Oncosuppressor p53: An Intriguing Perspective in Cancer Research.

Authors:  Anna Rita Bizzarri; Salvatore Cannistraro
Journal:  Cancers (Basel)       Date:  2021-12-03       Impact factor: 6.639

5.  Interaction between miR4749 and Human Serum Albumin as Revealed by Fluorescence, FRET, Atomic Force Spectroscopy and Computational Modelling.

Authors:  Valentina Botti; Silvia Marrone; Salvatore Cannistraro; Anna Rita Bizzarri
Journal:  Int J Mol Sci       Date:  2022-01-24       Impact factor: 5.923

6.  Potential lncRNA Biomarkers for HBV-Related Hepatocellular Carcinoma Diagnosis Revealed by Analysis on Coexpression Network.

Authors:  Shunqiang Nong; Xiaohao Chen; Zechen Wang; Guidan Xu; Wujun Wei; Bin Peng; Lü Zhou; Liuzhi Wei; Jingjie Zhao; Qiuju Wei; Yibin Deng; Lingzhang Meng
Journal:  Biomed Res Int       Date:  2021-10-15       Impact factor: 3.411

  6 in total

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