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pmid:32147961

Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.

Jinshuai Guo · Yinzhong Gu · Xiaoyu Ma · Lu Zhang · Huimin Li · Zhongyi Yan · Yali Han · Longxiang Xie · Xiangqian Guo

Journal of cellular and molecular medicine · 2020 doi:10.1111/jcmm.15102

Paper

complete

Experiment

complete

Data

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Analysis

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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:32147961
kind
science-record
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2026-11-01T15:40:57Z
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2026-11-01T22:44:38Z
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paper object · 10 fields
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title
Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
doi
10.1111/jcmm.15102
pmid
32147961
authors array · 9 items
[0]
Jinshuai Guo
[1]
Yinzhong Gu
[2]
Xiaoyu Ma
[3]
Lu Zhang
[4]
Huimin Li
[5]
Zhongyi Yan
[6]
Yali Han
[7]
Longxiang Xie
[8]
Xiangqian Guo
journal
Journal of cellular and molecular medicine
year
2020
abstract
Adrenocortical carcinoma (ACC), a rare malignant neoplasm originating from adrenal cortical cells, has high malignancy and few treatments. Therefore, it is necessary to explore the molecular mechanism of tumorigenesis, screen and verify potential biomarkers, which will provide new clues for the treatment and diagnosis of ACC. In this paper, three gene expression profiles (GSE10927, GSE12368 and GSE90713) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were obtained using the Limma package. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were enriched by DAVID. Protein-protein interaction (PPI) network was evaluated by STRING database, and PPI network was constructed by Cytoscape. Finally, GEPIA was used to validate hub genes' expression. Compared with normal adrenal tissues, 74 up-regulated DEGs and 126 down-regulated DEGs were found in ACC samples; GO analysis showed that up-regulated DEGs were enriched in organelle fission, nuclear division, spindle, et al, while down-regulated DEGs were enriched in angiogenesis, proteinaceous extracellular matrix and growth factor activity; KEGG pathway analysis showed that up-regulated DEGs were significantly enriched in cell cycle, cellular senescence and progesterone-mediated oocyte maturation; Nine hub genes (CCNB1, CDK1, TOP2A, CCNA2, CDKN3, MAD2L1, RACGAP1, BUB1 and CCNB2) were identified by PPI network; ACC patients with high expression of 9 hub genes were all associated with worse overall survival (OS). These hub genes and pathways might be involved in the tumorigenesis, which will offer the opportunities to develop the new therapeutic targets of ACC.
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DEGs between ACC samples and non‐neoplastic samples were screened by using Limma package based on R language.
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DEGs between ACC samples and non‐neoplastic samples were screened by using Limma package based on R language.
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Human adrenocortical carcinomas (33), adenomas (22), and normal adrenal cortex (10), on Affymetrix HG_U133_plus_2 arrays
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Analysis of adrenocortical tumors identify IGF2 and Ki-67 as useful in differentiating carcinomas from adenomas
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Expression data from human metastatic adrenocortical carcinoma
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Clinicopathological parameters and BUB1 expression according to the TCGA database
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Evaluate the prognostic value of hub genes
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Clinicopathological parameters and BUB1 expression according to the TCGA database
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BUB1 mRNA expression
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Univariate and multivariate Cox regression analysis of BUB1 clinical pathologic features according to the TCGA database
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Evaluate the prognostic value of hub genes
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Univariate and multivariate Cox regression analysis of BUB1 clinical pathologic features according to the TCGA database
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DEGs between ACC samples and non‐neoplastic samples were screened by using Limma package based on R language.
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provider
minimax
provider_family
minimax
read_at
2026-10-31T18:18:45Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
15412
completion_tokens
1899
cached_tokens
785
stages array · 1 item
[0] object · 4 fields
id
extraction
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review.independent_reader
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review.human_critique
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gaps array · 1 item
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provenance object · 7 fields
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pmid:32147961
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paper
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pmid:32147961
[1] object · 3 fields
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source:pmid:32147961
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label
PMID 32147961 full text
[2] object · 3 fields
id
data:geo:GSE10927
type
dataset
label
GEO GSE10927
activities array · 3 items
[0] object · 4 fields
id
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type
classification
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paper
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pmid:32147961
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agent:corpus-assay-engine
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agent:minimax-reader
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id
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agent:corpus-assay-engine
agents array · 2 items
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agent:corpus-assay-engine
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agent:minimax-reader
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software
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dsl_catalogue_fingerprint
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capability_table_fingerprint
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lineage object · 4 fields
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null
gaps array · 10 items
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[1]
asset:data:geo:GSE10927 not downloaded
[2]
asset:data:geo:GSE12368 licence not read
[3]
asset:data:geo:GSE12368 not downloaded
[4]
asset:data:geo:GSE90713 licence not read
[5]
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review.human_critique
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assays array · 1 item
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role
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fdr_bh
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source_hashes object · 1 field
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evidence array · 1 item
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DEGs between ACC samples and non‐neoplastic samples were screened by using Limma package based on R language.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32147961", "kind": "science-record", "revision": 8, "content_hash": "sha256:d5fcd0de08cf9624d636659dccaac8acebb7062809ddd4cc6465fa0a8ddb8d72", "created_at": "2026-11-01T15:40:57Z", "updated_at": "2026-11-01T22:44:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.", "doi": "10.1111/jcmm.15102", "pmid": "32147961", "authors": ["Jinshuai Guo", "Yinzhong Gu", "Xiaoyu Ma", "Lu Zhang", "Huimin Li", "Zhongyi Yan", "Yali Han", "Longxiang Xie", "Xiangqian Guo"], "journal": "Journal of cellular and molecular medicine", "year": 2020, "abstract": "Adrenocortical carcinoma (ACC), a rare malignant neoplasm originating from adrenal cortical cells, has high malignancy and few treatments. Therefore, it is necessary to explore the molecular mechanism of tumorigenesis, screen and verify potential biomarkers, which will provide new clues for the treatment and diagnosis of ACC. In this paper, three gene expression profiles (GSE10927, GSE12368 and GSE90713) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were obtained using the Limma package. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were enriched by DAVID. Protein-protein interaction (PPI) network was evaluated by STRING database, and PPI network was constructed by Cytoscape. Finally, GEPIA was used to validate hub genes' expression. Compared with normal adrenal tissues, 74 up-regulated DEGs and 126 down-regulated DEGs were found in ACC samples; GO analysis showed that up-regulated DEGs were enriched in organelle fission, nuclear division, spindle, et al, while down-regulated DEGs were enriched in angiogenesis, proteinaceous extracellular matrix and growth factor activity; KEGG pathway analysis showed that up-regulated DEGs were significantly enriched in cell cycle, cellular senescence and progesterone-mediated oocyte maturation; Nine hub genes (CCNB1, CDK1, TOP2A, CCNA2, CDKN3, MAD2L1, RACGAP1, BUB1 and CCNB2) were identified by PPI network; ACC patients with high expression of 9 hub genes were all associated with worse overall survival (OS). These hub genes and pathways might be involved in the tumorigenesis, which will offer the opportunities to develop the new therapeutic targets of ACC.", "claims": [{"id": "claim-method", "statement": "DEGs between ACC samples and non‐neoplastic samples were screened by using Limma package based on R language.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32147961", "locator": "sections[4] \"Screening differentially expressed genes\" paragraph 2", "quote": "DEGs between ACC samples and non‐neoplastic samples were screened by using Limma package based on R language."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analysed during this study are included in this article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32147961", "locator": "sections[21] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "All data generated or analysed during this study are included in this article."}], "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:32147961"], "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. 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