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pmid:35790431

[Screening and identification of key genes ATP1B3 and ENAH in the progression of hepatocellular carcinoma: based on data mining and clinical validation].

X Yang · Y Li · D Wu · Y Ma · S Zhou

Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022 doi:10.12122/j.issn.1673-4254.2022.06.04

Paper

complete

Experiment

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Data

partial

Analysis

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pmid:35790431
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title
[Screening and identification of key genes ATP1B3 and ENAH in the progression of hepatocellular carcinoma: based on data mining and clinical validation].
doi
10.12122/j.issn.1673-4254.2022.06.04
pmid
35790431
authors array · 5 items
[0]
X Yang
[1]
Y Li
[2]
D Wu
[3]
Y Ma
[4]
S Zhou
journal
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
year
2022
abstract
OBJECTIVE: To explore the marker genes correlated with the prognosis, progression and clinical diagnosis of hepatocellular carcinoma (HCC) based on bioinformatics methods. METHODS: The TCGA-LIHC, GSE84432, GSE143233 and GSE63898 datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed. The differentially expressed genes (DEGs) shared by different disease types were obtained using GEO2R and edge R packages, and Gene Ontology (GO) and Kyoto Gene and Genome Encyclopedia (KEGG) enrichment analyses of the DEGs were performed. The expression levels of these DEGs in normal and cancerous tissues were verified in TCGA-LIHC to identify the upregulated genes in HCC. Survival analysis, receiver-operating characteristic (ROC) curve analysis, and correlation analysis between the key genes and the clinical features of the patients were carried out using the R language. The differential expressions of 15 key genes were verified in clinical samples of HCC and adjacent tissues using RT-qPCR. RESULTS: A total of 118 common DEGs were obtained in the database, and among them two genes, namely ATPase Na +/K + transport subunit beta 3 (ATP1B3) and actin regulator (ENAH), showed increased expressions with disease progression. Survival analysis combined with the TCGA-LIHC dataset suggested that high expressions of ATP1B3 and ENAH were both significantly correlated with a poor prognosis of HCC patients (P < 0.05), and their AUC values were 0.821 and 0.933, respectively. A high expression of ATP1B3 was correlated with T stage, pathological stage and pathological grade of the tumors (P < 0.05), while that of ENAH was associated only with an advanced tumor grade (P < 0.05). The results of RT-qPCR showed that ATP1B3 and ENAH were both significantly upregulated in clinical HCC tissues (P < 0.05). CONCLUSION: ATPIB3 and ENAH are both upregulated in HCC, and their high expressions may serve as biomarkers of progression of liver diseases and a poor prognosis of HCC.
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利用GEO2R和edge R包获得各疾病类型之间共同差异基因(DEG),并对DEG进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。
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利用GEO2R和edge R包获得各疾病类型之间共同差异基因(DEG),并对DEG进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。
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分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。
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分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。
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ATP1B3和ENAH在临床HCC组织中表达上调(P<0.05)。
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RT-qPCR结果发现,ATP1B3和ENAH在临床HCC组织中表达上调(P<0.05)。
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ATP1B3和ENAH在临床HCC组织中表达上调(P<0.05)。
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[295]
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[350]
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[351]
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[353]
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[354]
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[356]
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[357]
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[393]
GSM1559998
[394]
GSM1559999
[395]
GSM1560000
sample_count
396
group_sizes
null
group_sizes_basis
null
platform
13667
taxon
Homo sapiens
title
DNA methylation-based prognosis and epidrivers in 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
[3] object · 15 fields
id
data:geo:GSE84432
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE84432
sha256
null
bytes
null
access
open
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resolved
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null
reader_status
reader_required
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GSE84432
version
null
note
分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。
access_statement_kind
repository_route_statement
sample_accessions array · 20 items
[0]
GSM2235679
[1]
GSM2235680
[2]
GSM2235681
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GSM2235682
[4]
GSM2235683
[5]
GSM2235684
[6]
GSM2235685
[7]
GSM2235686
[8]
GSM2235687
[9]
GSM2235688
[10]
GSM2235689
[11]
GSM2235690
[12]
GSM2235691
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GSM2235692
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GSM2235693
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GSM2235694
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GSM2262426
[17]
GSM2262427
[18]
GSM2262428
[19]
GSM2262429
sample_count
20
group_sizes
null
group_sizes_basis
null
platform
11154
taxon
Homo sapiens
title
Analysis of active enhancers and direct androgen receptor target genes in VCaP prostate cancer cells
resolution_checked_at
2026-11-01T18:06:44Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE14323 not downloaded
[1]
asset:data:geo:GSE14323 licence not read
[2]
asset:data:geo:GSE63898 not downloaded
[3]
asset:data:geo:GSE63898 licence not read
[4]
asset:data:geo:GSE84432 not downloaded
[5]
asset:data:geo:GSE84432 licence not read
analysis object · 4 fields
state
partial
methods array · 1 item
[0] object · 10 fields
id
method-1
family
null
specific
null
label
GEO2R和edge R包
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
利用GEO2R和edge R包获得各疾病类型之间共同差异基因(DEG),并对DEG进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (GEO2R和edge R包), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 3 items
[0]
GSE84432
[1]
GSE14323
[2]
GSE63898
resolved_accessions array · 3 items
[0]
GSE84432
[1]
GSE14323
[2]
GSE63898
statements array · 1 item
[0]
分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。
basis
The paper names GSE84432, GSE14323, GSE63898 in 基因表达综合(GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 2 items
[0]
source:pmid:35790431
[1]
data:geo:GSE14323
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE14323
gaps array · 1 item
[0]
method:not_determinable
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:53:36Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
prompt_tokens
1998
completion_tokens
1153
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
provider
minimax
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[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
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id
pmid:35790431
type
paper
label
pmid:35790431
[1] object · 3 fields
id
source:pmid:35790431
type
manuscript
label
PMID 35790431 full text
[2] object · 3 fields
id
data:geo:GSE14323
type
dataset
label
GEO GSE14323
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
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id
pmid:35790431
type
paper
label
pmid:35790431
[1] object · 3 fields
id
source:pmid:35790431
type
manuscript
label
PMID 35790431 full text
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id
data:geo:GSE14323
type
dataset
label
GEO GSE14323
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35790431
type
extraction
used array · 1 item
[0]
source:pmid:35790431
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14323
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accession_resolution
used array · 1 item
[0]
data:geo:GSE14323
agent
agent:corpus-assay-engine
agents array · 2 items
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id
agent:corpus-assay-engine
type
software
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Corpus assay engine
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id
agent:minimax-reader
type
software
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MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:35790431
parent_hash
sha256:2a89cc1a1804aa2207a2ea60f7b6ff32bb7e30161e7b1d44a943207ac1629c14
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null
gaps array · 11 items
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asset:data:geo:GSE14323 licence not read
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[3]
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[4]
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[5]
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data_generation
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99e1195c7d6f
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assay_lexicon
99e1195c7d6f
confidence
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evidence array · 4 items
[0]
al samples of HCC and adjacent tissues using RT-qPCR. RESULTS: A total of 118 common DEGs were ob
[1]
anced tumor grade (P < 0.05). The results of RT-qPCR showed that ATP1B3 and ENAH were both signif
[2]
samples of HCC and adjacent tissues using RT-qPCR. RESULTS: A total of 118 common DEGs were ob
[3]
ed tumor grade (P < 0.05). The results of RT-qPCR showed that ATP1B3 and ENAH were both signif
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35790431", "kind": "science-record", "revision": 3, "content_hash": "sha256:278103717cf31a8c82d30cd6800174038368e29f0c282b162304373527e8f9cf", "created_at": "2026-11-01T18:14:50Z", "updated_at": "2026-11-01T21:28:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "[Screening and identification of key genes ATP1B3 and ENAH in the progression of hepatocellular carcinoma: based on data mining and clinical validation].", "doi": "10.12122/j.issn.1673-4254.2022.06.04", "pmid": "35790431", "authors": ["X Yang", "Y Li", "D Wu", "Y Ma", "S Zhou"], "journal": "Nan fang yi ke da xue xue bao = Journal of Southern Medical University", "year": 2022, "abstract": "OBJECTIVE: To explore the marker genes correlated with the prognosis, progression and clinical diagnosis of hepatocellular carcinoma (HCC) based on bioinformatics methods.\nMETHODS: The TCGA-LIHC, GSE84432, GSE143233 and GSE63898 datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed. The differentially expressed genes (DEGs) shared by different disease types were obtained using GEO2R and edge R packages, and Gene Ontology (GO) and Kyoto Gene and Genome Encyclopedia (KEGG) enrichment analyses of the DEGs were performed. The expression levels of these DEGs in normal and cancerous tissues were verified in TCGA-LIHC to identify the upregulated genes in HCC. Survival analysis, receiver-operating characteristic (ROC) curve analysis, and correlation analysis between the key genes and the clinical features of the patients were carried out using the R language. The differential expressions of 15 key genes were verified in clinical samples of HCC and adjacent tissues using RT-qPCR.\nRESULTS: A total of 118 common DEGs were obtained in the database, and among them two genes, namely ATPase Na +/K + transport subunit beta 3 (ATP1B3) and actin regulator (ENAH), showed increased expressions with disease progression. Survival analysis combined with the TCGA-LIHC dataset suggested that high expressions of ATP1B3 and ENAH were both significantly correlated with a poor prognosis of HCC patients (P < 0.05), and their AUC values were 0.821 and 0.933, respectively. A high expression of ATP1B3 was correlated with T stage, pathological stage and pathological grade of the tumors (P < 0.05), while that of ENAH was associated only with an advanced tumor grade (P < 0.05). The results of RT-qPCR showed that ATP1B3 and ENAH were both significantly upregulated in clinical HCC tissues (P < 0.05).\nCONCLUSION: ATPIB3 and ENAH are both upregulated in HCC, and their high expressions may serve as biomarkers of progression of liver diseases and a poor prognosis of HCC.", "claims": [{"id": "claim-method", "statement": "利用GEO2R和edge R包获得各疾病类型之间共同差异基因(DEG),并对DEG进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35790431", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "利用GEO2R和edge R包获得各疾病类型之间共同差异基因(DEG),并对DEG进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。"}], "state": "complete"}, {"id": "claim-data-access", "statement": "分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35790431", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。"}], "state": "complete"}, {"id": "claim-target-result", "statement": "ATP1B3和ENAH在临床HCC组织中表达上调(P<0.05)。", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35790431", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "RT-qPCR结果发现,ATP1B3和ENAH在临床HCC组织中表达上调(P<0.05)。"}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "ATP1B3和ENAH在临床HCC组织中表达上调(P<0.05)。", "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:35790431"], "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:GSE14323"], "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:GSE14323"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35790431", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12122/j.issn.1673-4254.2022.06.04", "sha256": "sha256:15f37cfbce038bceeac9ca8d0e2fa6f648f80939835d24f211d9d626ec132522", "bytes": 630, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12122/j.issn.1673-4254.2022.06.04", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9257355", "source": "ncbi_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE14323", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14323", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE14323", "version": null, "note": "分析来自癌症基因组图谱数据库(TCGA)和基因表达综合(GEO)的TCGA-LIHC、GSE84432、GSE14323和GSE63898数据集。", "structure": {"repository": "GEO", "access_route": 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RESULTS: A total of 118 common DEGs were ob", "anced tumor grade (P < 0.05). The results of RT-qPCR showed that ATP1B3 and ENAH were both signif", "samples of HCC and adjacent tissues using RT-qPCR. RESULTS: A total of 118 common DEGs were ob", "ed tumor grade (P < 0.05). The results of RT-qPCR showed that ATP1B3 and ENAH were both signif"], "order_basis": "paper_text_order:1125", "id": "assay:1"}]}