Integrated Analysis of lncRNA-Associated ceRNA Network Identifies Two lncRNA Signatures as a Prognostic Biomarker in Gastric Cancer

Author:

Zhang Shuyan1,Li Shanshan2,Guo Jian-Lin3,Li Ningyi1,Zhang Cai-Ning4ORCID,Liu Jie2ORCID

Affiliation:

1. Department of Medical Technology Support, Jingdong Medical District of Chinese PLA General Hospital, Beijing, China

2. Department of Laboratory, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China

3. Department of Laboratory, Second People’s Hospital, Kashgar Area, Xinjiang Province 844000, China

4. Department of Laboratory, Guangdong Maoming Agricultural Reclamation Hospital, Maoming, Guangdong Province 525200, China

Abstract

Background. Gastric cancer (GC) is a malignant tumour that originates in the gastric mucosal epithelium and is associated with high mortality rates worldwide. Long noncoding RNAs (lncRNAs) have been identified to play an important role in the development of various tumours, including GC. Yet, lncRNA biomarkers in a competing endogenous RNA network (ceRNA network) that are used to predict survival prognosis remain lacking. The aim of this study was to construct a ceRNA network and identify the lncRNA signature as prognostic factors for survival prediction. Methods. The lncRNAs with overall survival significance were used to construct the ceRNA network. Function enrichment, protein-protein interaction, and cluster analysis were performed for dysregulated mRNAs. Multivariate Cox proportional hazards regression was performed to screen the potential prognostic lncRNAs. RT-qPCR was used to measure the relative expression levels of lncRNAs in cell lines. CCK8 assay was used to assess the proliferation of GC cells transfected with sh-lncRNAs. Results. Differentially expressed genes were identified including 585 lncRNAs, 144 miRNAs, and 2794 mRNAs. The ceRNA network was constructed using 35 DElncRNAs associated with overall survival of GC patients. Functional analysis revealed that these dysregulated mRNAs were enriched in cancer-related pathways, including TGF-beta, Rap 1, calcium, and the cGMP-PKG signalling pathway. A multivariate Cox regression analysis and cumulative risk score suggested that two of those lncRNAs (LINC01644 and LINC01697) had significant prognostic value. Furthermore, the results indicate that LINC01644 and LINC01697 were upregulated in GC cells. Knockdown of LINC01644 or LINC01697 suppressed the proliferation of GC cells. Conclusions. The authors identified 2-lncRNA signature in ceRNA regulatory network as prognostic biomarkers for the prediction of GC patient survival and revealed that silencing LINC01644 or LINC01697 inhibited the proliferation of GC cells.

Funder

Beijing Municipal Science and Technology Commission

Publisher

Hindawi Limited

Subject

Biochemistry, medical,Clinical Biochemistry,Genetics,Molecular Biology,General Medicine

Reference51 articles.

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