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pmid:31114367

Identification of a transcription factor-microRNA network in esophageal adenocarcinoma through bioinformatics analysis and validation through qRT-PCR.

Di Chen · Tong Lu · Junying Tan · Kun Zhao · Yuli Li · Wenjie Zhao · Hao Li · Qiuyue Wang · Yuanyong Wang · Liangzhou Wei

Cancer management and research · 2019 doi:10.2147/CMAR.S201274

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Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:31114367
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2026-11-01T15:40:45Z
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2026-11-01T21:22:12Z
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paper object · 10 fields
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title
Identification of a transcription factor-microRNA network in esophageal adenocarcinoma through bioinformatics analysis and validation through qRT-PCR.
doi
10.2147/CMAR.S201274
pmid
31114367
authors array · 10 items
[0]
Di Chen
[1]
Tong Lu
[2]
Junying Tan
[3]
Kun Zhao
[4]
Yuli Li
[5]
Wenjie Zhao
[6]
Hao Li
[7]
Qiuyue Wang
[8]
Yuanyong Wang
[9]
Liangzhou Wei
journal
Cancer management and research
year
2019
abstract
Purpose: The rapidly rising incidence of esophageal adenocarcinoma (EAC), which is usually diagnosed late with a poor prognosis, has become a growing problem. This study investigated the potential transcription factor (TF)-related molecular mechanisms of EAC by using bioinformatics analysis and qRT-PCR validation. Methods: Expression profile datasets for mRNAs (GSE92396, GSE13898, GSE26886 and GSE1420) and miRNAs (GSE16456) were downloaded from the GEO database. Overlapping differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified through integrative analysis. Then, a TF-miRNA-mRNA network was constructed based on bioinformatics data from the TRRUST, TRED and miRTarBase database. Furthermore, overall survival analysis for the mRNAs and miRNAs in the TF-miRNA-mRNA network was performed with data from TCGA, and qRT-PCR was used to validate the results. Results: A total of 294 overlapping DEGs were identified in EAC tissues compared to normal tissues, including 181 downregulated and 113 upregulated genes. Then, 16 TFs that could target the DEGs and were related to cancer were predicted based on public databases, and 41 DEGs that could be targeted were identified as key genes. Additionally, 12 DEMs were predicted through miRTarBase to be associated with the key genes, and TP53-(miR-125b)-ID2 and JUN-(miR-30a)-IL1A from the TF-miRNA-mRNA network were identified to potentially play significant roles in EAC. Furthermore, CCL20, IL1A, ABCC3, hsa-miR-23b, and hsa-miR-191, which are involved in the TF-miRNA-mRNA network, were found to be significantly associated with patient survival in EAC. Finally, the expression of a miRNA-mRNA pair (hsa-miR-30a-5p and IL1A) was revealed to be correlated with prognosis. Conclusion: In this study, a TF-miRNA-mRNA network was constructed to analyze the potential molecular mechanisms of EAC. Key genes and miRNAs associated with patient survival were identified, which may reveal promising approaches for EAC diagnosis and therapy.
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To verify the results obtained thus far, data for 89 EAC tissue samples and the clinical data of the patients were downloaded from TCGA, and the prognostic value of the key genes and miRNAs was identified by Kaplan-Meier analysis. The survival package in R software was used for survival analysis.
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sections[8] "Survival analysis validation" paragraph 2
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To verify the results obtained thus far, data for 89 EAC tissue samples and the clinical data of the patients were downloaded from TCGA, and the prognostic value of the key genes and miRNAs was identified by Kaplan-Meier analysis. The survival package in R software was used for survival analysis.
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The GSE92396 dataset included a total of 9 normal tissues and 12 EAC tissues
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Robust prognostic biomarkers for EAC identified by systems-level characterization of tumor transcriptome
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MicroRNA expression signatures in Barrett's esophagus and esophageal adenocarcinoma
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Information of expression profiling microarray datasets
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GPL6955
[2]
Homo sapiens
[3]
Non-coding RNA profiling by array
[4]
Public on December 31, 2009
[5]
6
[6]
16
[3] array · 7 items
[0]
GSE1420
[1]
GPL96
[2]
Homo sapiens
[3]
Expression profiling by array
[4]
Public on November 18, 2004
[5]
8
[6]
8
[4] array · 7 items
[0]
GSE13898
[1]
GPL6102
[2]
Homo sapiens
[3]
Expression profiling by array
[4]
Public on January 04, 2011
[5]
64
[6]
28
[5] array · 7 items
[0]
GSE92396
[1]
GPL6244
[2]
Homo sapiens
[3]
Expression profiling by array
[4]
Public on December 15, 2016
[5]
12
[6]
9
[6] array · 7 items
[0]
GSE26886
[1]
GPL570
[2]
Homo sapiens
[3]
Expression profiling by array
[4]
Public on October 18, 2013
[5]
21
[6]
19
locator
section[11]/table-wrap[1]#T0002
[8] object · 16 fields
id
asset:table:pmid:31114367:3
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table
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jats-table
media_type
application/vnd.jats.table+json
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null
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sha256:2f638b3495ab3c016478c2389f9c4e642240dfaffa527c014bd08716e35fdcb8
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415
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open
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verified
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read_table
reader_status
available
identifier
section[13]/table-wrap[1]#T0003
version
null
note
Regulatory relationships among TFs, key genes, and miRNAs
structure object · 5 fields
pmcid
PMC6489589
section_index
13
section_title
Construction of the TF-miRNA-mRNA network
row_count
4
column_count
5
table object · 8 fields
label
Table 3
caption
Regulatory relationships among TFs, key genes, and miRNAs
rows array · 4 items
[0] array · 5 items
[0]
Relationship
[1]
Number of pairs/sets
[2]
Number of TFs
[3]
Number of key genes
[4]
Number of miRNAs
[1] array · 5 items
[0]
TF-key gene
[1]
97
[2]
16
[3]
41
[4]
-
[2] array · 5 items
[0]
miRNA-key gene
[1]
12
[2]
-
[3]
7
[4]
12
[3] array · 5 items
[0]
TF-miRNA-key gene
[1]
2
[2]
2
[3]
2
[4]
2
locator
section[13]/table-wrap[1]#T0003
[9] object · 16 fields
id
asset:table:pmid:31114367:4
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table
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jats-table
media_type
application/vnd.jats.table+json
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null
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sha256:5b537b2eda1bb613850cee3380dc5320484edd67dce2875b09b16fd1225c6ffc
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1538
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read_table
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available
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section[14]/table-wrap[1]#T0004
version
null
note
GO terms of key genes
structure object · 5 fields
pmcid
PMC6489589
section_index
14
section_title
Functional and pathway analysis of key genes
row_count
21
column_count
4
table object · 8 fields
label
Table 4
caption
GO terms of key genes
rows array · 21 items
[0] array · 4 items
[0]
[1]
GO terms
[2]
Number of enriched genes
[3]
P-value
[1] array · 4 items
[0]
Biological process
[1]
GO:0006954-inflammatory response
[2]
9
[3]
2.56E-06
[2] array · 4 items
[0]
[1]
GO:0022617-extracellular matrix disassembly
[2]
5
[3]
3.13E-05
[3] array · 4 items
[0]
[1]
GO:0043123-positive regulation of I-kappaB kinase/NF-kappaB signaling
[2]
5
[3]
5.69 E-04
[4] array · 4 items
[0]
[1]
GO:0008544-epidermis development
[2]
4
[3]
1.08 E-03
[5] array · 4 items
[0]
[1]
GO:0001649-osteoblast differentiation
[2]
4
[3]
1.93 E-03
[6] array · 4 items
[0]
[1]
GO:0008285-negative regulation of cell proliferation
[2]
6
[3]
2.37 E-03
[7] array · 4 items
[0]
[1]
GO:0043066-negative regulation of apoptotic process
[2]
6
[3]
4.30 E-03
[8] array · 4 items
[0]
[1]
GO:0031424-keratinization
[2]
3
[3]
5.82 E-03
[9] array · 4 items
[0]
[1]
GO:0018149-peptide cross-linking
[2]
3
[3]
6.30 E-03
[10] array · 4 items
[0]
[1]
GO:0002248~connective tissue replacement involved in inflammatory response wound healing
[2]
2
[3]
9.50 E-03
[11] array · 4 items
[0]
[1]
GO:0030574-collagen catabolic process
[2]
3
[3]
1.02 E-02
[12] array · 4 items
[0]
Cellular component
[1]
GO:0005615-extracellular space
[2]
17
[3]
8.33E-09
[13] array · 4 items
[0]
[1]
GO:0005576-extracellular region
[2]
18
[3]
1.38E-08
[14] array · 4 items
[0]
[1]
GO:0070062-extracellular exosome
[2]
21
[3]
3.26E-07
[15] array · 4 items
[0]
[1]
GO:0005578-proteinaceous extracellular matrix
[2]
6
[3]
2.86E-04
[16] array · 4 items
[0]
[1]
GO:0001533-cornified envelope
[2]
3
[3]
4.57E-03
[17] array · 4 items
[0]
Molecular function
[1]
GO:0005125-cytokine activity
[2]
6
[3]
5.03E-05
[18] array · 4 items
[0]
[1]
GO:0008083-growth factor activity
[2]
5
[3]
5.17E-04
[19] array · 4 items
[0]
[1]
GO:0005515-protein binding
[2]
31
[3]
1.24E-03
[20] array · 4 items
[0]
[1]
GO:0004175-endopeptidase activity
[2]
3
[3]
6.90E-03
locator
section[14]/table-wrap[1]#T0004
[10] object · 16 fields
id
asset:table:pmid:31114367:5
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table
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jats-table
media_type
application/vnd.jats.table+json
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null
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sha256:ee60491e2865b7a94f4acb2de27ed85995440e6a81081e2e4319b270ec25292d
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515
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read_table
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available
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section[14]/table-wrap[2]#T0005
version
null
note
KEGG pathways of key genes
structure object · 5 fields
pmcid
PMC6489589
section_index
14
section_title
Functional and pathway analysis of key genes
row_count
6
column_count
3
table object · 8 fields
label
Table 5
caption
KEGG pathways of key genes
rows array · 6 items
[0] array · 3 items
[0]
KEGG terms
[1]
Number of enriched genes
[2]
P-value
[1] array · 3 items
[0]
hsa04668:TNF signaling pathway
[1]
5
[2]
5.44 E-04
[2] array · 3 items
[0]
hsa05323:Rheumatoid arthritis
[1]
4
[2]
3.80 E-03
[3] array · 3 items
[0]
hsa04060:Cytokine-cytokine receptor interaction
[1]
5
[2]
1.07 E-02
[4] array · 3 items
[0]
hsa05202:Transcriptional misregulation in cancer
[1]
4
[2]
2.18 E-02
[5] array · 3 items
[0]
hsa05200:Pathways in cancer
[1]
5
[2]
4.51 E-02
locator
section[14]/table-wrap[2]#T0005
gaps array · 10 items
[0]
asset:data:geo:GSE13898 not downloaded
[1]
asset:data:geo:GSE13898 licence not read
[2]
asset:data:geo:GSE1420 not downloaded
[3]
asset:data:geo:GSE1420 licence not read
[4]
asset:data:geo:GSE16456 not downloaded
[5]
asset:data:geo:GSE16456 licence not read
[6]
asset:data:geo:GSE26886 not downloaded
[7]
asset:data:geo:GSE26886 licence not read
[8]
asset:data:geo:GSE92396 not downloaded
[9]
asset:data:geo:GSE92396 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
To verify the results obtained thus far, data for 89 EAC tissue samples and the clinical data of the patients were downloaded from TCGA, and the prognostic value of the key genes and miRNAs was identified by Kaplan-Meier analysis. The survival package in R software was used for survival analysis.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
targets array · 0 items
gaps array · 0 items
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
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
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 · 5 items
[0]
GSE92396
[1]
GSE13898
[2]
GSE26886
[3]
GSE1420
[4]
GSE16456
resolved_accessions array · 5 items
[0]
GSE92396
[1]
GSE13898
[2]
GSE26886
[3]
GSE1420
[4]
GSE16456
statements array · 1 item
[0]
The GSE92396 dataset included a total of 9 normal tissues and 12 EAC tissues
basis
The paper names GSE92396, GSE13898, GSE26886, GSE1420, GSE16456 in Gene Expression Omnibus (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 · 1 item
[0]
survival_km
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[0]
source:pmid:31114367
[1]
data:geo:GSE13898
[2]
asset:table:pmid:31114367:1
[3]
asset:table:pmid:31114367:2
[4]
asset:table:pmid:31114367:3
[5]
asset:table:pmid:31114367:4
[6]
asset:table:pmid:31114367:5
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:GSE13898
gaps array · 0 items
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
2026-10-31T18:14:45Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
27061
completion_tokens
1785
cached_tokens
784
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
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null
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execution.not_run
provenance object · 7 fields
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[0] object · 3 fields
id
pmid:31114367
type
paper
label
pmid:31114367
[1] object · 3 fields
id
source:pmid:31114367
type
manuscript
label
PMID 31114367 full text
[2] object · 3 fields
id
data:geo:GSE13898
type
dataset
label
GEO GSE13898
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id
activity-reading-sci-2026-11-01
type
classification
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[0] object · 3 fields
id
pmid:31114367
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paper
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pmid:31114367
[1] object · 3 fields
id
source:pmid:31114367
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manuscript
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PMID 31114367 full text
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id
data:geo:GSE13898
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dataset
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GEO GSE13898
agent
agent:corpus-assay-engine
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id
activity-read-31114367
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extraction
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[0]
source:pmid:31114367
agent
agent:minimax-reader
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id
activity-resolve-GSE13898
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accession_resolution
used array · 1 item
[0]
data:geo:GSE13898
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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MiniMax literature reader
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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:31114367
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sha256:0bec132e02f323140da2d514047b984f7eb2aeaeedd9c9735439f9c487148d68
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null
gaps array · 14 items
[0]
asset:data:geo:GSE13898 licence not read
[1]
asset:data:geo:GSE13898 not downloaded
[2]
asset:data:geo:GSE1420 licence not read
[3]
asset:data:geo:GSE1420 not downloaded
[4]
asset:data:geo:GSE16456 licence not read
[5]
asset:data:geo:GSE16456 not downloaded
[6]
asset:data:geo:GSE26886 licence not read
[7]
asset:data:geo:GSE26886 not downloaded
[8]
asset:data:geo:GSE92396 licence not read
[9]
asset:data:geo:GSE92396 not downloaded
[10]
execution.not_run
[11]
review.human_critique
[12]
review.independent_reader
[13]
review.machine_critique
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[0] object · 11 fields
role
analysis
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survival_analysis
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f2132e96ae6c7a4e
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survival_km
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
To verify the results obtained thus far, data for 89 EAC tissue samples and the clinical data of the patients were downloaded from TCGA, and the prognostic value of the key genes and miRNAs was identified by Kaplan-Meier analysis. The survival package in R software was used for survival analysis.
order_basis
analysis_only
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31114367", "kind": "science-record", "revision": 7, "content_hash": "sha256:329da14d40788e06192618467922720b99faaa01b4bc036aaea4fc658920587e", "created_at": "2026-11-01T15:40:45Z", "updated_at": "2026-11-01T21:22:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of a transcription factor-microRNA network in esophageal adenocarcinoma through bioinformatics analysis and validation through qRT-PCR.", "doi": "10.2147/CMAR.S201274", "pmid": "31114367", "authors": ["Di Chen", "Tong Lu", "Junying Tan", "Kun Zhao", "Yuli Li", "Wenjie Zhao", "Hao Li", "Qiuyue Wang", "Yuanyong Wang", "Liangzhou Wei"], "journal": "Cancer management and research", "year": 2019, "abstract": "Purpose: The rapidly rising incidence of esophageal adenocarcinoma (EAC), which is usually diagnosed late with a poor prognosis, has become a growing problem. This study investigated the potential transcription factor (TF)-related molecular mechanisms of EAC by using bioinformatics analysis and qRT-PCR validation. Methods: Expression profile datasets for mRNAs (GSE92396, GSE13898, GSE26886 and GSE1420) and miRNAs (GSE16456) were downloaded from the GEO database. Overlapping differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified through integrative analysis. Then, a TF-miRNA-mRNA network was constructed based on bioinformatics data from the TRRUST, TRED and miRTarBase database. Furthermore, overall survival analysis for the mRNAs and miRNAs in the TF-miRNA-mRNA network was performed with data from TCGA, and qRT-PCR was used to validate the results. Results: A total of 294 overlapping DEGs were identified in EAC tissues compared to normal tissues, including 181 downregulated and 113 upregulated genes. Then, 16 TFs that could target the DEGs and were related to cancer were predicted based on public databases, and 41 DEGs that could be targeted were identified as key genes. Additionally, 12 DEMs were predicted through miRTarBase to be associated with the key genes, and TP53-(miR-125b)-ID2 and JUN-(miR-30a)-IL1A from the TF-miRNA-mRNA network were identified to potentially play significant roles in EAC. Furthermore, CCL20, IL1A, ABCC3, hsa-miR-23b, and hsa-miR-191, which are involved in the TF-miRNA-mRNA network, were found to be significantly associated with patient survival in EAC. Finally, the expression of a miRNA-mRNA pair (hsa-miR-30a-5p and IL1A) was revealed to be correlated with prognosis. Conclusion: In this study, a TF-miRNA-mRNA network was constructed to analyze the potential molecular mechanisms of EAC. Key genes and miRNAs associated with patient survival were identified, which may reveal promising approaches for EAC diagnosis and therapy.", "claims": [{"id": "claim-method", "statement": "To verify the results obtained thus far, data for 89 EAC tissue samples and the clinical data of the patients were downloaded from TCGA, and the prognostic value of the key genes and miRNAs was identified by Kaplan-Meier analysis. The survival package in R software was used for survival analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31114367", "locator": "sections[8] \"Survival analysis validation\" paragraph 2", "quote": "To verify the results obtained thus far, data for 89 EAC tissue samples and the clinical data of the patients were downloaded from TCGA, and the prognostic value of the key genes and miRNAs was identified by Kaplan-Meier analysis. The survival package in R software was used for survival analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE92396 dataset included a total of 9 normal tissues and 12 EAC tissues", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31114367", "locator": "sections[11] \"Microarray datasets from the GEO\" paragraph 2", "quote": "The GSE92396 dataset included a total of 9 normal tissues and 12 EAC tissues"}], "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:31114367"], "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:GSE13898"], "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:GSE13898"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31114367", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/CMAR.S201274", "sha256": 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The survival package in R software was used for survival analysis."}}, {"id": "method-2", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "pathway enrichment"}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "capability": {"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": {"tier": "R1", "reachable": true, "accessions": ["GSE92396", "GSE13898", "GSE26886", "GSE1420", "GSE16456"], "resolved_accessions": ["GSE92396", "GSE13898", "GSE26886", "GSE1420", "GSE16456"], "statements": ["The GSE92396 dataset included a total of 9 normal tissues and 12 EAC tissues"], "basis": "The paper names GSE92396, GSE13898, GSE26886, GSE1420, GSE16456 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:31114367", "data:geo:GSE13898", "asset:table:pmid:31114367:1", "asset:table:pmid:31114367:2", "asset:table:pmid:31114367:3", "asset:table:pmid:31114367:4", "asset:table:pmid:31114367:5"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE13898"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:14:45Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 27061, "completion_tokens": 1785, "cached_tokens": 784}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:31114367", "type": "paper", "label": "pmid:31114367"}, {"id": "source:pmid:31114367", "type": "manuscript", "label": "PMID 31114367 full text"}, {"id": "data:geo:GSE13898", "type": "dataset", "label": "GEO GSE13898"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:31114367", "type": "paper", "label": "pmid:31114367"}, {"id": "source:pmid:31114367", "type": "manuscript", "label": "PMID 31114367 full text"}, {"id": "data:geo:GSE13898", "type": "dataset", "label": "GEO GSE13898"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-31114367", "type": "extraction", "used": ["source:pmid:31114367"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE13898", "type": "accession_resolution", "used": ["data:geo:GSE13898"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:31114367", "parent_hash": "sha256:0bec132e02f323140da2d514047b984f7eb2aeaeedd9c9735439f9c487148d68", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE13898 licence not read", "asset:data:geo:GSE13898 not downloaded", "asset:data:geo:GSE1420 licence not read", "asset:data:geo:GSE1420 not downloaded", "asset:data:geo:GSE16456 licence not read", "asset:data:geo:GSE16456 not downloaded", "asset:data:geo:GSE26886 licence not read", "asset:data:geo:GSE26886 not downloaded", "asset:data:geo:GSE92396 licence not read", "asset:data:geo:GSE92396 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["To verify the results obtained thus far, data for 89 EAC tissue samples and the clinical data of the patients were downloaded from TCGA, and the prognostic value of the key genes and miRNAs was identified by Kaplan-Meier analysis. The survival package in R software was used for survival analysis."], "order_basis": "analysis_only", "id": "assay:1"}]}