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pmid:31534853

Identification of Flap endonuclease 1 as a potential core gene in hepatocellular carcinoma by integrated bioinformatics analysis.

Chuanfei Li · Feng Qin · Hao Hong · Hui Tang · Xiaoling Jiang · Shuangyan Yang · Zhechuan Mei · Di Zhou

PeerJ · 2019 doi:10.7717/peerj.7619

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:31534853
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title
Identification of Flap endonuclease 1 as a potential core gene in hepatocellular carcinoma by integrated bioinformatics analysis.
doi
10.7717/peerj.7619
pmid
31534853
authors array · 8 items
[0]
Chuanfei Li
[1]
Feng Qin
[2]
Hao Hong
[3]
Hui Tang
[4]
Xiaoling Jiang
[5]
Shuangyan Yang
[6]
Zhechuan Mei
[7]
Di Zhou
journal
PeerJ
year
2019
abstract
Hepatocellular carcinoma (HCC) is a common yet deadly form of malignant cancer. However, the specific mechanisms involved in HCC diagnosis have not yet fully elucidated. Herein, we screened four publically available Gene Expression Omnibus (GEO) expression profiles (GSE14520, GSE29721, GSE45267 and GSE60502), and used them to identify 409 differentially expressed genes (DEGs), including 142 and 267 up- and down-regulated genes, respectively. The DAVID database was used to look for functionally enriched pathways among DEGs, and the STRING database and Cytoscape platform were used to generate a protein-protein interaction (PPI) network for these DEGs. The cytoHubba plug-in was utilized to detect 185 hub genes, and three key clustering modules were constructed with the MCODE plug-in. Gene functional enrichment analyses of these three key clustering modules were further performed, and nine core genes including BIRC5, DLGAP5, DTL, FEN1, KIAA0101, KIF4A, MCM2, MKI67, and RFC4, were identified in the most critical cluster. Subsequently, the hierarchical clustering and expression of core genes in TCGA liver cancer tissues were analyzed using the UCSC Cancer Genomics Browser, and whether elevated core gene expression was linked to a poor prognosis in HCC patients was assessed using the GEPIA database. The PPI of the nine core genes revealed an interaction between FEN1, MCM2, RFC4, and BIRC5. Furthermore, the expression of FEN1 was positively correlated with that of three other core genes in TCGA liver cancer tissues. FEN1 expression in HCC and other tumor types was assessed with the FIREBROWSE and ONCOMINE databases, and results were verified in HCC samples and hepatoma cells. FEN1 levels were also positively correlated with tumor size, distant metastasis and vascular invasion. In conclusion, we identified nine core genes associated with HCC development, offering novel insight into HCC progression. In particular, the aberrantly elevated FEN1 may represent a potential biomarker for HCC diagnosis and treatment.
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The correlation between FEN1 expression and HCC patient clinicopathological features was investigated via Fisher’s exact test.
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sections[21] "Experimental validation" paragraph 4
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The correlation between FEN1 expression and HCC patient clinicopathological features was investigated via Fisher’s exact test.
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sections[25] "Additional Information and Declarations" paragraph 6
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The raw measurements are available in Supplemental Files.
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GSE29721
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null
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The raw measurements are available in Supplemental Files.
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GEO
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GEO accession URL
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GSM737081
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GSM737082
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GSM737083
[19]
GSM737084
sample_count
20
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null
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null
platform
570
taxon
Homo sapiens
title
The landscape of promoter DNA hypomethylation in liver cancer (expression data)
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2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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false
licence_read
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data:geo:GSE45267
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null
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null
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GSE45267
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null
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The raw measurements are available in Supplemental Files.
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GEO
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GEO accession URL
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The raw measurements are available in Supplemental Files.
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data_availability_statement
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GSM1100410
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GSM1100441
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GSM1100455
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87
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null
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null
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570
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Homo sapiens
title
Gene expression profiles of human hepatocellular carcinoma (training set 1)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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id
data:geo:GSE60502
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geo-series
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resolved
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GSE60502
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null
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The raw measurements are available in Supplemental Files.
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GEO
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The raw measurements are available in Supplemental Files.
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GSM1481325
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GSM1481326
[35]
GSM1481327
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36
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null
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null
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96
taxon
Homo sapiens
title
Gene expression profiling of 18 hepatocellular carcinoma and adjacent non-tumorous liver tissue
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
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Detailed information of the GEO datasets in this study.
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Data collection and DEG validation
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Detailed information of the GEO datasets in this study.
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Correlation between FEN1 expression and clinicopathological features in 34 paired HCC patients.
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Experimental validation
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Correlation between FEN1 expression and clinicopathological features in 34 paired HCC patients.
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protein-protein interaction
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The correlation between FEN1 expression and HCC patient clinicopathological features was investigated via Fisher’s exact test.
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logrank_test
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: log_rank_test.
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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GSE14520
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[0]
The raw measurements are available in Supplemental Files.
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cer cell lines (SMMC-7721, BEL-7404, HCCLM3, HepG2, MHCC97-H, SK-HEP-1, and Huh-7) as well as n
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[0]
ent controls (Figs. 8B and 8D). Furthermore, IHC analysis indicated that FEN1 levels were sig
[1]
relative to adjacent tissues (Fig. 8E), with IHC scores being significantly higher in HCC sam
[2]
cent tissue (A) and HCC tissue (C). (B) FEN1 IHC in adjacent tissue. (D) FEN1 IHC in HCC tiss
[3]
). (B) FEN1 IHC in adjacent tissue. (D) FEN1 IHC in HCC tissue. (E) FEN1 IHC staining quantif
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31534853", "kind": "science-record", "revision": 7, "content_hash": "sha256:11da0ea09a565ff6641ed0232b2e8be6a962eb06b5d92878494c5c4453760b97", "created_at": "2026-11-01T15:40:49Z", "updated_at": "2026-11-01T22:00:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Flap endonuclease 1 as a potential core gene in hepatocellular carcinoma by integrated bioinformatics analysis.", "doi": "10.7717/peerj.7619", "pmid": "31534853", "authors": ["Chuanfei Li", "Feng Qin", "Hao Hong", "Hui Tang", "Xiaoling Jiang", "Shuangyan Yang", "Zhechuan Mei", "Di Zhou"], "journal": "PeerJ", "year": 2019, "abstract": "Hepatocellular carcinoma (HCC) is a common yet deadly form of malignant cancer. However, the specific mechanisms involved in HCC diagnosis have not yet fully elucidated. Herein, we screened four publically available Gene Expression Omnibus (GEO) expression profiles (GSE14520, GSE29721, GSE45267 and GSE60502), and used them to identify 409 differentially expressed genes (DEGs), including 142 and 267 up- and down-regulated genes, respectively. The DAVID database was used to look for functionally enriched pathways among DEGs, and the STRING database and Cytoscape platform were used to generate a protein-protein interaction (PPI) network for these DEGs. The cytoHubba plug-in was utilized to detect 185 hub genes, and three key clustering modules were constructed with the MCODE plug-in. Gene functional enrichment analyses of these three key clustering modules were further performed, and nine core genes including BIRC5, DLGAP5, DTL, FEN1, KIAA0101, KIF4A, MCM2, MKI67, and RFC4, were identified in the most critical cluster. Subsequently, the hierarchical clustering and expression of core genes in TCGA liver cancer tissues were analyzed using the UCSC Cancer Genomics Browser, and whether elevated core gene expression was linked to a poor prognosis in HCC patients was assessed using the GEPIA database. The PPI of the nine core genes revealed an interaction between FEN1, MCM2, RFC4, and BIRC5. Furthermore, the expression of FEN1 was positively correlated with that of three other core genes in TCGA liver cancer tissues. FEN1 expression in HCC and other tumor types was assessed with the FIREBROWSE and ONCOMINE databases, and results were verified in HCC samples and hepatoma cells. FEN1 levels were also positively correlated with tumor size, distant metastasis and vascular invasion. In conclusion, we identified nine core genes associated with HCC development, offering novel insight into HCC progression. 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Furthermore, IHC analysis indicated that FEN1 levels were sig", "relative to adjacent tissues (Fig. 8E), with IHC scores being significantly higher in HCC sam", "cent tissue (A) and HCC tissue (C). (B) FEN1 IHC in adjacent tissue. (D) FEN1 IHC in HCC tiss", "). (B) FEN1 IHC in adjacent tissue. (D) FEN1 IHC in HCC tissue. (E) FEN1 IHC staining quantif"], "order_basis": "paper_text_order:9497", "id": "assay:2"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["logrank_test"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["logrank"], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}