» Articles » PMID: 30679912

Comprehensive Analysis of Potential Prognostic Genes for the Construction of a Competing Endogenous RNA Regulatory Network in Hepatocellular Carcinoma

Overview
Publisher Dove Medical Press
Specialty Oncology
Date 2019 Jan 26
PMID 30679912
Citations 37
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Hepatocellular carcinoma (HCC) is an extremely common malignant tumor with worldwide prevalence. The aim of this study was to identify potential prognostic genes and construct a competing endogenous RNA (ceRNA) regulatory network to explore the mechanisms underlying the development of HCC.

Methods: Integrated analysis was used to identify potential prognostic genes in HCC with R software based on the GSE14520, GSE17548, GSE19665, GSE29721, GSE60502, and the Cancer Genome Atlas databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway-enrichment analyses were performed to explore the molecular mechanisms of potential prognostic genes. Differentially expressed miRNAs (DEMs) and lncRNAs (DELs) were screened based on the Cancer Genome Atlas database. An lncRNA-miRNA-mRNA ceRNA regulatory network was constructed based on information about interactions derived from the miRcode, TargetScan, miRTarBase, and miRDB databases.

Results: A total of 152 potential prognostic genes were screened that were differentially expressed in HCC tissue and significantly associated with overall survival of HCC patients. There were 13 key potential prognostic genes in the ceRNA regulatory network: eleven upregulated genes (, , , , , , , , , , and ) and two downregulated genes ( and ) whose expression might be regulated by eight DEMs and 61 DELs. Kaplan-Meier curve analysis showed that nine DELs (AL163952.1, AL359878.1, AP002478.1, C2orf48, C10orf91, CLLU1, CLRN1-AS1, ERVMER61-1, and WARS2-IT1) in the ceRNA regulatory network were significantly associated with HCC-patient prognoses.

Conclusion: This study identified potential prognostic genes and constructed an lncRNA- miRNA-mRNA ceRNA regulatory network of HCC, which not only has important clinical significance for early diagnoses but also provides effective targets for HCC treatments and could provide new insights for HCC-interventional strategies.

Citing Articles

Shared and specific competing endogenous RNAs network mining in four digestive system tumors.

Tang Y, Fahira A, Lin S, Shao Y, Huang Z Comput Struct Biotechnol J. 2024; 23:4271-4287.

PMID: 39669749 PMC: 11635987. DOI: 10.1016/j.csbj.2024.11.005.


Bioinformatics analysis proposes a possible role for long noncoding RNA MIR17HG in retinoblastoma.

Wang Z, Liang X, Yi G, Wu T, Sun Y, Zhang Z Cancer Rep (Hoboken). 2024; 7(2):e1933.

PMID: 38321787 PMC: 10864729. DOI: 10.1002/cnr2.1933.


MiR-200/183 family-mediated module biomarker for gastric cancer progression: an AI-assisted bioinformatics method with experimental functional survey.

Yan W, Chen Y, Hu G, Shi T, Liu X, Li J J Transl Med. 2023; 21(1):163.

PMID: 36864416 PMC: 9983275. DOI: 10.1186/s12967-023-04010-z.


Comprehensive analyses of N -methyladenosine-related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer.

Luo Y, Zhang Z, Zheng B, Wu P, Zhang G, Wang L Cancer Sci. 2022; 113(12):4289-4299.

PMID: 36047973 PMC: 9746037. DOI: 10.1111/cas.15553.


Identification of circular RNA biomarkers for Pien Tze Huang treatment of CCl4‑induced liver fibrosis using RNA‑sequencing.

Wang T, Zhu J, Gao L, Wei M, Zhang D, Chen L Mol Med Rep. 2022; 26(4).

PMID: 36004475 PMC: 9437966. DOI: 10.3892/mmr.2022.12825.


References
1.
Liu Y, Zhu J, Ma X, Han S, Xiao D, Jia Y . ceRNA network construction and comparison of gastric cancer with or without Helicobacter pylori infection. J Cell Physiol. 2018; 234(5):7128-7140. DOI: 10.1002/jcp.27467. View

2.
Li Y, Egranov S, Yang L, Lin C . Molecular mechanisms of long noncoding RNAs-mediated cancer metastasis. Genes Chromosomes Cancer. 2018; 58(4):200-207. PMC: 10642708. DOI: 10.1002/gcc.22691. View

3.
Siegel R, Miller K, Jemal A . Cancer statistics, 2018. CA Cancer J Clin. 2018; 68(1):7-30. DOI: 10.3322/caac.21442. View

4.
Wang Z, Si M, Yang N, Zhang H, Fu Y, Yan K . MicroRNA-506 suppresses invasiveness and metastasis of human hepatocellular carcinoma cells by targeting . Am J Cancer Res. 2018; 8(8):1586-1594. PMC: 6129486. View

5.
Kulik L, El-Serag H . Epidemiology and Management of Hepatocellular Carcinoma. Gastroenterology. 2018; 156(2):477-491.e1. PMC: 6340716. DOI: 10.1053/j.gastro.2018.08.065. View