Literature DB >> 33371806

A Competing Endogenous RNA Network Reveals Novel lncRNA, miRNA and mRNA Biomarkers With Diagnostic and Prognostic Value for Early Breast Cancer.

Zhong-Bing Luo1, Gui-E Lai1, Tao Jiang1, Chuan-Lin Cao1, Tao Peng1, Feng-En Liu1.   

Abstract

BACKGROUND: This study aims to reveal early breast cancer (BC) specific competing endogenous RNA (ceRNA) network through the expression profiles of microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and mRNAs.
METHODS: Based on The Cancer Genome Atlas (TCGA), we obtained the differentially expressed mRNAs, miRNAs, and lncRNAs (DEmRNAs, DEmiRNAs and DElncRNAs) between early BC and normal samples. The lncRNA-miRNA-mRNA interaction network was constructed using Cytoscape. Functional enrichment were performed using GeneCoDis3. The expression of selected genes were validated by qRT-PCR. Based on the published dataset, we validated the result of TCGA integration analysis. The diagnostic and prognostic value of candidate genes was evaluated by ROC curve analysis and survival analysis, respectively.
RESULTS: Totally, 1207 DEmRNAs, 194 DElncRNAs and 37 DEmiRNAs were obtained. Functional enrichment analysis results showed that all of DEmRNAs were enriched in pathway of cytokine-cytokine receptor interaction, PPAR signaling pathway and pathways in cancer. The DEmRNA-DEmiRNA-DElncRNA interaction network in early BC was consisted of 23 DEmiRNAs, 95 DElncRNAs and 309 DEmRNAs. Among ceRNA network, IL-6-hsa-miR-182-5p-ADAMTS9-AS1 interactions, LIFR-hsa-miR-21-5p-ADAMTS9-AS1 interactions and MMP1/MMP11-hsa-miR-145-5p-CDKN2B-AS1 interactions were speculated to involve in the development of early BC. The qRT-PCR results were consistent with our integrated analysis. Except for ADAMTS9-AS1 and CDKN2B-AS1, expression of the others results in the Gene Expression Omnibus (GEO) dataset were generally consistent with TCGA integrated analysis. The area under curve (AUC) of the ADAMTS9-AS1, CDKN2B-AS1, IL-6, MMP11, hsa-miR-145-5p and hsa-miR-182-5p were 0.947, 0.862, 0.842, 0.993, 0.960 and 0.944, and the specificity and sensitivity of the 6 biomarkers were 83.4% and 95.6%, 72.2% and 90.3%, 80.1% and 74.3%, 96.2% and 96.5%, 90.1% and 92.3%, and 88.7% and 90.4%, respectively. In addition, IL-6 had potential prognostic value for early BC.
CONCLUSION: These findings may provide novel insights into the lncRNA-miRNA-mRNA network and uncover potential therapeutic targets in early BC.

Entities:  

Keywords:  biomarkers; ceRNA network; early breast cancer; lncRNA; miRNA

Year:  2020        PMID: 33371806     DOI: 10.1177/1533033820983293

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  5 in total

Review 1.  Predictive and Prognostic Value of Non-Coding RNA in Breast Cancer.

Authors:  Navid Sobhani; Richard Chahwan; Raheleh Roudi; Rachel Morris; Stefano Volinia; Dafei Chai; Alberto D'Angelo; Daniele Generali
Journal:  Cancers (Basel)       Date:  2022-06-15       Impact factor: 6.575

2.  Linc00467 promotes invasion and inhibits apoptosis of head and neck squamous cell carcinoma by regulating miR-1285-3p/TFAP2A.

Authors:  Ying Liang; Gang Cheng; Denggao Huang; Feng Yuan
Journal:  Am J Transl Res       Date:  2021-06-15       Impact factor: 4.060

3.  Epigenetic study of early breast cancer (EBC) based on DNA methylation and gene integration analysis.

Authors:  Wenshan Zhang; Haoqi Wang; Yixin Qi; Sainan Li; Cuizhi Geng
Journal:  Sci Rep       Date:  2022-02-07       Impact factor: 4.379

4.  circ_0000567/miR-421/TMEM100 Axis Promotes the Migration and Invasion of Lung Adenocarcinoma and Is Associated with Prognosis.

Authors:  Yang Hong; Jiahui Si; Bufan Xiao; Ying Xiong; Chenyue Dai; Yue Yang; Shaolei Li; Yuanyuan Ma
Journal:  J Cancer       Date:  2022-02-28       Impact factor: 4.207

5.  Knockdown of long non-coding RNA CDKN2B-AS1 suppresses the progression of breast cancer by miR-122-5p/STK39 axis.

Authors:  Shaojie Qin; Mingliang Ning; Qingyuan Liu; Xiaoyun Ding; Yanbai Wang; Qilun Liu
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  5 in total

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