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Updated: Jan 20, 2026

Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
Construction of a circular RNA-microRNA-messengerRNA regulatory network in stomach adenocarcinoma
Qincheng Liu1,2, Wei Zhang1,2, Zhenqian Wu3
1Department of General Surgery, Shanghai Fengxian Central Hospital (Affiliated Fengxian Hospital to Southern Medical University), The Third School of Clinical Medicine, Southern Medical University, Shanghai, China.
Objectives:
Circular RNAs (circRNAs) can interact with microRNAs (miRNAs) to regulate gene expression in cancer cells. However, the roles of competitive endogenous RNA (ceRNA) networks consisting of differentially expressed circRNAs (DECs), miRNAs, and messenger RNAs (mRNAs) in stomach adenocarcinoma (STAD) remain unclear. This study was performed to explore novel regulatory networks in STAD.
Methods:
The circRNA expression profiles, as well as miRNA and mRNA sequence data of STAD, were retrieved from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), respectively. Candidates were identified to construct a network through a comprehensive bioinformatics strategy. The expression of hub-genes identified by protein-protein interactions (PPI) was validated by quantitative reverse transcription (RT) polymerase chain reaction.
Results:
A total of 51 DECs were identified in the GSE83521 and GSE89143 datasets of GEO. A total of 11 448 differentially expressed mRNAs (DEMs) and 458 differentially expressed miRNAs (DEMIs) were obtained by RNA sequencing of TCGA-STAD. Prediction by using five online databases (Cancer-Specific CircRNA, CircInteractome, miRTarBase, miRDB, and TargetScan) resulted in the selection of 6 DECs, 6 DEMIs, and 36 DEMs to establish a circRNA-miRNA-mRNA regulatory network based on the interactions of circRNA-miRNA and miRNA-mRNA. Through PPI analysis, four hub-genes (COL10A1, COL5A2, COL4A1, and COL3A1) were discovered. Moreover, overexpressions of COL10A1, COL5A1, and COL4A1 were associated with a poor overall survival rate of patients with STAD. On the basis of TNM staging, we found that the expressions of COL10A1, COL5A2, and COL3A1 in T2, T3, and T4 was significantly higher than in T1. Hub-genes expressions were validated in STAD tissues and cell lines.
Conclusions:
Our study provides a novel perspective on the regulatory mechanism of STAD involving ceRNAs including DECs, DEMIs, and DEMs.
Insights
This study reveals novel circular RNA (circRNA)-microRNA (miRNA)-messenger RNA (mRNA) regulatory networks in stomach adenocarcinoma (STAD). Identified hub genes like COL10A1 are linked to poor survival and advanced tumor stage in STAD patients.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Research
Background:
- Circular RNAs (circRNAs) and microRNAs (miRNAs) are key regulators of gene expression in cancer.
- The role of competitive endogenous RNA (ceRNA) networks, involving circRNAs, miRNAs, and messenger RNAs (mRNAs), in stomach adenocarcinoma (STAD) is not well understood.
- This research aims to elucidate novel regulatory networks in STAD.
Purpose of the Study:
- To explore novel regulatory mechanisms in stomach adenocarcinoma (STAD) using ceRNA networks.
- To identify key differentially expressed circRNAs (DECs), miRNAs (DEMIs), and mRNAs (DEMs) in STAD.
- To construct and analyze a circRNA-miRNA-mRNA regulatory network for STAD.
Main Methods:
- Expression profiles of circRNAs, miRNAs, and mRNAs were obtained from public databases (GEO, TCGA) for STAD.
- A comprehensive bioinformatics strategy was employed to identify candidate molecules and construct the ceRNA network.
- Hub genes were identified via protein-protein interaction (PPI) analysis and their expression validated using quantitative reverse transcription (RT) polymerase chain reaction.
Main Results:
- A total of 51 DECs, 11,448 DEMs, and 458 DEMIs were identified in STAD.
- A circRNA-miRNA-mRNA regulatory network was constructed involving 6 DECs, 6 DEMIs, and 36 DEMs.
- Four hub genes (COL10A1, COL5A2, COL4A1, COL3A1) were identified; overexpression of COL10A1, COL5A1, and COL4A1 correlated with poor overall survival and advanced TNM stage in STAD patients.
Conclusions:
- This study presents a novel perspective on the regulatory mechanisms in STAD through ceRNA networks.
- The identified circRNA-miRNA-mRNA interactions and hub genes offer potential biomarkers for STAD diagnosis and prognosis.
- Further investigation into these regulatory networks could lead to new therapeutic strategies for STAD.
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