Identification and integrated analysis of hepatocellular carcinoma-related circular RNA signature.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32355738", "kind": "science-record", "revision": 9, "content_hash": "sha256:ae278077d32a489622f937be827c09e16180f5a96566790c2f62a45851a51383", "created_at": "2026-11-01T15:41:00Z", "updated_at": "2026-11-01T22:44:48Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and integrated analysis of hepatocellular carcinoma-related circular RNA signature.", "doi": "10.21037/atm.2020.03.06", "pmid": "32355738", "authors": ["Feiran Wang", "Xiaodong Xu", "Nannan Zhang", "Zhong Chen"], "journal": "Annals of translational medicine", "year": 2020, "abstract": "BACKGROUND: Circular RNAs (circRNAs), a novel type of non-coding RNA, play a vital role in the pathogenesis and development of cancer. CircRNAs signatures may be useful as prognostic and predictive factors as well as clinical tools for evaluating disease status and prognosis. This study was carried out to explore novel circRNA signatures in hepatocellular carcinoma (HCC).\nMETHODS: The expression profiles of circRNAs were retrieved from the Gene Expression Omnibus (GEO). The expression profiles of miRNAs and mRNAs were obtained from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database. The results of the microarray were validated by quantitative real-time RCR (qPCR). Based on circRNA-miRNA pairs and miRNA-mRNA pairs, a competitive endogenous RNA (ceRNA) network was constructed. Functional analysis was performed via Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA), and gene set variation analysis (GSVA). Furthermore, survival analysis was carried out using the Kaplan-Meier curve and the log-rank test.\nRESULTS: Differentially expressed circRNAs in HCC from GEO databases (GSE94508 and GSE97332) were screened and analyzed using the bioinformatics method. We detected a total of 26 differentially expressed circRNAs by qPCR and then selected 6 circRNAs to construct the circRNA-miRNA-mRNA networks. Through prognostic analysis, 3 target hub genes (AURKA, KIF5B, and RHOA) of circRNAs were discovered. Moreover, GSEA and GSVA were used to reveal the functions of AURKA, KIF5B, and RHOA in HCC.\nCONCLUSIONS: We identified three hub genes, and our results suggest that the circHMGCS1/miR-581/AURKA, circHMGCS1/miR-892a/KIF5B, and circTMCO3/miR-577/RHOA axes may play a vital role in HCC progression.", "claims": [{"id": "claim-method", "statement": "Furthermore, survival analysis was carried out using the Kaplan-Meier curve and the log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32355738", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Furthermore, survival analysis was carried out using the Kaplan-Meier curve and the log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray data of two circRNA expression profiles were collected from the GEO database (GSE94508 and GSE97332).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32355738", "locator": "sections[3] \"Microarray data and RNA sequencing data\" paragraph 2", "quote": "The microarray data of two circRNA expression profiles were collected from the GEO database (GSE94508 and GSE97332)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:32355738"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE94508"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE94508"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32355738", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/atm.2020.03.06", "sha256": 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GSE97332).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The microarray data of two circRNA expression profiles were collected from the GEO database (GSE94508 and GSE97332).", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM2477191", "GSM2477192", "GSM2477193", "GSM2477194", "GSM2477195", "GSM2477196", "GSM2477197", "GSM2477198", "GSM2477199", "GSM2477200"], "sample_count": 10, "group_sizes": null, "group_sizes_basis": null, "platform": "19978", "taxon": "Homo sapiens", "title": "circRNA expression profiles for 10 human samples derived from patients with hepatocellular carcinoma", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE97332", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": 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(5’-3’)"], ["circRNA(hsa_circ_0004913)", "TCACTCTGACGGAACTTGACA", "GCTCCTTCTGCTTTGGCTGT"], ["circRNA(hsa_circ_0006248)", "AAAGACCACATACGCCAACA", "TCAGCCCAAATACTCCAAGA"], ["circRNA(hsa_circ_0038929)", "CATGCCTTGGGACCTGTTAA", "AGCAAAGTTGAGTGCGGAGA"], ["circRNA(hsa_circ_0005428)", "AACAGCTCTGGCAAGAAACT", "TTTGATGGAGGAAAGTGGAA"], ["circRNA(hsa_circ_0006913)", "AACCCAAGAAACTGCTGTCG", "GAAATCCCTGATGTGCTCACT"], ["circRNA(hsa_circ_0007248)", "TTCTGCGGGCATTGGTGATA", "CTCCCTGAGCATTGCATTGGAC"], ["circRNA(hsa_circ_0059342)", "GGGACCTCAAATCAAAGAAA", "TCCTGAAGTTGTAATGTGGG"], ["circRNA(hsa_circ_0007762)", "GGGACCTCAAATCAAAGAAA", "GCCCACATAGAGCCACTTAC"], ["circRNA(hsa_circ_0059859)", "AGGTGCGGACTCTTGTTCTT", "GAGTGCAGATGATGTGGAGG"], ["circRNA(hsa_circ_0056548)", "AGGAGGAGAAGTTGGAGGCT", "GAGGCAATGGAGTTAAAGGACA"], ["circRNA(hsa_circ_0043302)", "TTGACGCCTTAGATAACAGC", "ATTCAATCCAGGATGCAAAA"], ["circRNA(hsa_circ_0055033)", "AAGAAGTCCTGCATCGAAAT", "CACATGATCCTTACTGTCCG"], ["circRNA(hsa_circ_0001359)", "CCTGGAATCACGAAGCACAG", "TGGGTAATACTGCCGCTGGT"], ["circRNA(hsa_circ_0067323)", "ATCCACAACTGATGCACCTA", "TGCTTCAACAGTGACTACGC"], ["circRNA(hsa_circ_0001360)", "GTTGTCTCGTCGTCATCGTC", "GCTTATTAACTGTGCAGGTGT"], ["circRNA(hsa_circ_0000204)", "CCTCCTAGAAGTAATGCCCACA", "CAGCACCTCACTGTCAAAGAAT"], ["circRNA(hsa_circ_0009581)", "CGACTGTGACCTCCTTATGT", "ACTGTTCAGCCTCCTTGTCT"], ["circRNA(hsa_circ_0072389)", "TGGCTGCCACTCTGTACTCT", "TTCCAGCATCTACACCATCA"], ["circRNA(hsa_circ_0007540)", "CAGCAGTGGAGGCAGAAGTT", "AAACCAAGGGATGGCATAGA"], ["circRNA(hsa_circ_0027774)", "TGTGCTGGAATTGATGTTCG", "CTGAGGGAGGGTCTGTTTGA"], ["circRNA(hsa_circ_0000517)", "TGAGCTTCGGGGAGGTGAGTT", "GGGAGAGCCCTGTTAGGGC"], ["circRNA(hsa_circ_0030130)", "CTGCCTGTAAGTGCCAAGT", "GAGGCCAGGGTAGTCCATT"], ["circRNA(hsa_circ_0084429)", "GGCAACTGTATGAGCCACT", "GGACTAACTCCCTCGAAAT"], ["circRNA(hsa_circ_0031027)", "GGACCCTATTATCGGAAGC", "CACCTATGGAGGCGAAGAA"], ["circRNA(hsa_circ_0008160)", "GTGCTCTTGTTTGGGATTA", "TTTGAGGCCAATAGGTTAA"], 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