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pmid:33329727

Differential Expression and Bioinformatics Analysis of circRNA in Non-small Cell Lung Cancer.

Qiuwen Sun · Xia Li · Muchen Xu · Li Zhang · Haiwei Zuo · Yong Xin · Longzhen Zhang · Ping Gong

Frontiers in genetics · 2020 doi:10.3389/fgene.2020.586814

Paper

complete

Experiment

complete

Data

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Analysis

partial

Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33329727
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science-record
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sha256:cf281acc192e7dfcfc23dca25a1029189f4a7894e3de3c2d89902c1dd84de8bc
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T15:41:19Z
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2026-11-01T22:02:45Z
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paper object · 10 fields
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title
Differential Expression and Bioinformatics Analysis of circRNA in Non-small Cell Lung Cancer.
doi
10.3389/fgene.2020.586814
pmid
33329727
authors array · 8 items
[0]
Qiuwen Sun
[1]
Xia Li
[2]
Muchen Xu
[3]
Li Zhang
[4]
Haiwei Zuo
[5]
Yong Xin
[6]
Longzhen Zhang
[7]
Ping Gong
journal
Frontiers in genetics
year
2020
abstract
Circular RNA (CircRNA) plays an important role in tumorigenesis and progression of non-small cell lung cancer (NSCLC), but the pathogenesis of NSCLC caused by circRNA has not been fully elucidated. This study aimed to investigate differentially expressed circRNAs and identify the underlying pathogenesis hub genes of NSCLC by comprehensive bioinformatics analysis. Data of gene expression microarrays (GSE101586, GSE101684, and GSE112214) were downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed circRNAs (DECs) were obtained by the "limma" package of R programs and the overlapping operation was implemented of DECs. CircBase database and Cancer-Specific CircRNA database (CSCD) were used to find miRNAs binding to DECs. Target genes of the found miRNAs were identified utilizing Perl programs based on miRDB, miRTarBase, and TargetScan databases. Functional and enrichment analyses of selected target genes were performing using the "cluster profiler" package. Protein-protein interaction (PPI) network was constructed by the Search Tool for the STRING database and module analysis of selected hub genes was performed by Cytoscape 3.7.1. Survival analysis of hub genes were performed by Gene Expression Profiling Interactive Analysis (GEPIA). Respectively, 1 DEC, 249 DECs, and 101 DECs were identified in GSE101586, GSE101684, and GSE112214. A total of eight overlapped circRNAs, 43 miRNAs and 427 target genes were identified. Gene Ontology (GO) enrichment analysis showed these target genes were enriched in biological processes of regulation of histone methylation, Ras protein signal transduction and covalent chromatin modification etc. Pathway enrichment analysis showed these target genes are mainly involved in AMPK signaling pathway, signaling pathways regulating pluripotency of stem cells and insulin signaling pathway etc. A PPI network was constructed based on 427 target genes of the 43 miRNAs. Ten hub genes were found, of which the expression of MYLIP, GAN, and CDC27 were significantly related to NSCLC patient prognosis. Our study provide a deeper understanding the circRNAs-miRNAs-target genes by bioinformatics analysis, which may provide novel insights for unraveling pathogenesis of NSCLC. MYLIP, GAN, and CDC27 genes might serve as novel biomarker for precise treatment and prognosis of NSCLC in the future.
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Subsequently, the fold-change and Student's t testing were used for screening for DECs in the three sets, respectively.
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sections[5] "2.3. Identification of Differentially Expressed circRNAs" paragraph 2
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Subsequently, the fold-change and Student's t testing were used for screening for DECs in the three sets, respectively.
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Publicly available datasets were analyzed in this study. This data can be found at: https://www.ncbi.nlm.nih.gov/gds/?term=GSE101684; https://www.ncbi.nlm.nih.gov/gds/?term=GSE112214; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE101586.
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sections[18] "Data Availability Statement" paragraph 2
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Publicly available datasets were analyzed in this study. This data can be found at: https://www.ncbi.nlm.nih.gov/gds/?term=GSE101684; https://www.ncbi.nlm.nih.gov/gds/?term=GSE112214; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE101586.
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CircRNA expression profiles in early stage lung adenocarcinoma
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Genome-wide analysis of circRNA expression profile in non-small cell lung cancer (NSCLC) tissues and matched adjacent normal tissues
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Basic characteristics of the eight differentially expressed circRNAs.
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3.2. Interaction of circRNA-miRNA-Target Genes
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Target genes of the first 10 miRNAs in hsa_circ_0008234.
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Subsequently, the fold-change and Student's t testing were used for screening for DECs in the three sets, respectively.
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Publicly available datasets were analyzed in this study. This data can be found at: https://www.ncbi.nlm.nih.gov/gds/?term=GSE101684; https://www.ncbi.nlm.nih.gov/gds/?term=GSE112214; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE101586.
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PMID 33329727 full text
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data:geo:GSE101586
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GEO GSE101586
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agent:minimax-reader
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lineage object · 4 fields
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asset:data:geo:GSE101586 licence not read
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asset:data:geo:GSE101586 not downloaded
[2]
asset:data:geo:GSE101684 licence not read
[3]
asset:data:geo:GSE101684 not downloaded
[4]
asset:data:geo:GSE112214 licence not read
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evidence array · 2 items
[0]
als and Methods 2.2. Data Processing The raw microarray data were read by the R software and the exp
[1]
mple name were kept of the obtained original microarray data. 2.7. Survival Analysis of Hub Genes GE
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33329727", "kind": "science-record", "revision": 7, "content_hash": "sha256:cf281acc192e7dfcfc23dca25a1029189f4a7894e3de3c2d89902c1dd84de8bc", "created_at": "2026-11-01T15:41:19Z", "updated_at": "2026-11-01T22:02:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Differential Expression and Bioinformatics Analysis of circRNA in Non-small Cell Lung Cancer.", "doi": "10.3389/fgene.2020.586814", "pmid": "33329727", "authors": ["Qiuwen Sun", "Xia Li", "Muchen Xu", "Li Zhang", "Haiwei Zuo", "Yong Xin", "Longzhen Zhang", "Ping Gong"], "journal": "Frontiers in genetics", "year": 2020, "abstract": "Circular RNA (CircRNA) plays an important role in tumorigenesis and progression of non-small cell lung cancer (NSCLC), but the pathogenesis of NSCLC caused by circRNA has not been fully elucidated. This study aimed to investigate differentially expressed circRNAs and identify the underlying pathogenesis hub genes of NSCLC by comprehensive bioinformatics analysis. Data of gene expression microarrays (GSE101586, GSE101684, and GSE112214) were downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed circRNAs (DECs) were obtained by the \"limma\" package of R programs and the overlapping operation was implemented of DECs. CircBase database and Cancer-Specific CircRNA database (CSCD) were used to find miRNAs binding to DECs. Target genes of the found miRNAs were identified utilizing Perl programs based on miRDB, miRTarBase, and TargetScan databases. Functional and enrichment analyses of selected target genes were performing using the \"cluster profiler\" package. Protein-protein interaction (PPI) network was constructed by the Search Tool for the STRING database and module analysis of selected hub genes was performed by Cytoscape 3.7.1. Survival analysis of hub genes were performed by Gene Expression Profiling Interactive Analysis (GEPIA). Respectively, 1 DEC, 249 DECs, and 101 DECs were identified in GSE101586, GSE101684, and GSE112214. A total of eight overlapped circRNAs, 43 miRNAs and 427 target genes were identified. Gene Ontology (GO) enrichment analysis showed these target genes were enriched in biological processes of regulation of histone methylation, Ras protein signal transduction and covalent chromatin modification etc. Pathway enrichment analysis showed these target genes are mainly involved in AMPK signaling pathway, signaling pathways regulating pluripotency of stem cells and insulin signaling pathway etc. A PPI network was constructed based on 427 target genes of the 43 miRNAs. Ten hub genes were found, of which the expression of MYLIP, GAN, and CDC27 were significantly related to NSCLC patient prognosis. Our study provide a deeper understanding the circRNAs-miRNAs-target genes by bioinformatics analysis, which may provide novel insights for unraveling pathogenesis of NSCLC. MYLIP, GAN, and CDC27 genes might serve as novel biomarker for precise treatment and prognosis of NSCLC in the future.", "claims": [{"id": "claim-method", "statement": "Subsequently, the fold-change and Student's t testing were used for screening for DECs in the three sets, respectively.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33329727", "locator": "sections[5] \"2.3. Identification of Differentially Expressed circRNAs\" paragraph 2", "quote": "Subsequently, the fold-change and Student's t testing were used for screening for DECs in the three sets, respectively."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found at: https://www.ncbi.nlm.nih.gov/gds/?term=GSE101684; https://www.ncbi.nlm.nih.gov/gds/?term=GSE112214; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE101586.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33329727", "locator": "sections[18] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. 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