circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expression

Abstract Background Circular RNAs (circRNAs) represent a class of newly identified transcripts that act as competing endogenous RNAs (ceRNAs) to modulate gene expression by competing for the shared microRNAs (miRNAs) in humans. In this study, we set out to investigate the role of the circRNA-miRNA-m...

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Main Authors: Qian Fei, Yuhe Lin, Mi Zhang, Jinshuai Guo, Yuan Liang
Format: Article
Language:English
Published: BMC 2022-09-01
Series:Cancer Cell International
Subjects:
Online Access:https://doi.org/10.1186/s12935-022-02646-3
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author Qian Fei
Yuhe Lin
Mi Zhang
Jinshuai Guo
Yuan Liang
author_facet Qian Fei
Yuhe Lin
Mi Zhang
Jinshuai Guo
Yuan Liang
author_sort Qian Fei
collection DOAJ
description Abstract Background Circular RNAs (circRNAs) represent a class of newly identified transcripts that act as competing endogenous RNAs (ceRNAs) to modulate gene expression by competing for the shared microRNAs (miRNAs) in humans. In this study, we set out to investigate the role of the circRNA-miRNA-mRNA ceRNA network in gastric cancer (GC). Methods A differential analysis on GC-related circRNAs, miRNAs and mRNAs was performed utilizing the R language “limma” package, followed by GO and KEGG enrichment analyses. The Cytoscape visualization software was used to construct the circRNA-miRNA-mRNA ceRNA network. RT-qPCR, Western blot assay, immunohistochemistry, RNA pull down, RIP and dual luciferase gene reporter assay were conducted to verify the expression of the related circRNA, miRNA and mRNA and their interaction in GC tissues and cells. Results The bioinformatics analysis screened 13 circRNAs, 241 miRNAs and 7483 mRNAs related to GC. Ten DEmRNAs (AURKA, BUB1, CCNF, FEN1, FGF2, ITPKB, CDKN1A, TRIP13, KNTC1 and KIT) were identified from the constructed PPI network and module analysis, among which AURKA was the most critical. A circ_0061265-miRNA-885-3p-AURKA ceRNA network was constructed. In vitro cell experiment demonstrated significantly upregulated circ_0061265 and AURKA, but downregulated miR-885-3p in GC. Moreover, circ_0061265 promoted the occurrence of GC by competitively binding to miRNA-885-3p to regulate AURKA expression. Conclusion Our work validated that circ_0061265 may increase AURKA expression by competitively binding to miRNA-885-3p, thereby promoting GC development.
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spelling doaj.art-8d83b8b08e2944b78648dc8eb59425492022-12-22T03:12:59ZengBMCCancer Cell International1475-28672022-09-0122111410.1186/s12935-022-02646-3circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expressionQian Fei0Yuhe Lin1Mi Zhang2Jinshuai Guo3Yuan Liang4Department of Oncology, Shengjing Hospital of China Medical UniversityDepartment of Oncology, Shengjing Hospital of China Medical UniversityDepartment of Oncology, Shengjing Hospital of China Medical UniversityDepartment of General Surgery, The Fourth Affiliated Hospital of China Medical UniversityMedical Oncology Department of Thoracic Cancer (2), Cancer Hospital of China Medical University, Liaoning Cancer Hospital & InstituteAbstract Background Circular RNAs (circRNAs) represent a class of newly identified transcripts that act as competing endogenous RNAs (ceRNAs) to modulate gene expression by competing for the shared microRNAs (miRNAs) in humans. In this study, we set out to investigate the role of the circRNA-miRNA-mRNA ceRNA network in gastric cancer (GC). Methods A differential analysis on GC-related circRNAs, miRNAs and mRNAs was performed utilizing the R language “limma” package, followed by GO and KEGG enrichment analyses. The Cytoscape visualization software was used to construct the circRNA-miRNA-mRNA ceRNA network. RT-qPCR, Western blot assay, immunohistochemistry, RNA pull down, RIP and dual luciferase gene reporter assay were conducted to verify the expression of the related circRNA, miRNA and mRNA and their interaction in GC tissues and cells. Results The bioinformatics analysis screened 13 circRNAs, 241 miRNAs and 7483 mRNAs related to GC. Ten DEmRNAs (AURKA, BUB1, CCNF, FEN1, FGF2, ITPKB, CDKN1A, TRIP13, KNTC1 and KIT) were identified from the constructed PPI network and module analysis, among which AURKA was the most critical. A circ_0061265-miRNA-885-3p-AURKA ceRNA network was constructed. In vitro cell experiment demonstrated significantly upregulated circ_0061265 and AURKA, but downregulated miR-885-3p in GC. Moreover, circ_0061265 promoted the occurrence of GC by competitively binding to miRNA-885-3p to regulate AURKA expression. Conclusion Our work validated that circ_0061265 may increase AURKA expression by competitively binding to miRNA-885-3p, thereby promoting GC development.https://doi.org/10.1186/s12935-022-02646-3circ_0061265miRNA-885-3pAURKAceRNA networkGastric cancerBioinformatics analysis
spellingShingle Qian Fei
Yuhe Lin
Mi Zhang
Jinshuai Guo
Yuan Liang
circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expression
Cancer Cell International
circ_0061265
miRNA-885-3p
AURKA
ceRNA network
Gastric cancer
Bioinformatics analysis
title circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expression
title_full circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expression
title_fullStr circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expression
title_full_unstemmed circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expression
title_short circ_0061265 competitively binds to microRNA-885-3p to promote the development of gastric cancer by upregulating AURKA expression
title_sort circ 0061265 competitively binds to microrna 885 3p to promote the development of gastric cancer by upregulating aurka expression
topic circ_0061265
miRNA-885-3p
AURKA
ceRNA network
Gastric cancer
Bioinformatics analysis
url https://doi.org/10.1186/s12935-022-02646-3
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