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pmid:34532380

Diagnostic biomarkers and potential drug targets for coronary artery disease as revealed by systematic analysis of lncRNA characteristics.

Ziqi Chen · Dawang Zhou · Xiaocong Zhang · Qian Wu · Guifu Wu

Annals of translational medicine · 2021 doi:10.21037/atm-21-3276

Paper

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Data

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pmid:34532380
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title
Diagnostic biomarkers and potential drug targets for coronary artery disease as revealed by systematic analysis of lncRNA characteristics.
doi
10.21037/atm-21-3276
pmid
34532380
authors array · 5 items
[0]
Ziqi Chen
[1]
Dawang Zhou
[2]
Xiaocong Zhang
[3]
Qian Wu
[4]
Guifu Wu
journal
Annals of translational medicine
year
2021
abstract
BACKGROUND: The expression profile of lncRNAs in coronary artery disease (CAD) patients has not yet been fully explored. Therefore, the current study aimed to investigate lncRNA-based prognostic biomarkers for CAD. METHODS: The expression profiles of lncRNA and messenger RNA (mRNA) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed lncRNA (DElncRNAs) and DEmRNAs were identified from CAD and normal samples, and weighted gene co-expression network analysis (WGCNA) was conducted. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to investigate the principal functions of significantly dysregulated genes. The potential drugs of new CAD-specific genes were identified by network distance method. Receiver operating characteristic (ROC) was used to verify the classification performance of genes. RESULTS: A total of 512 differentially expressed genes (DEGs) and 308 DElncRNAs were identified from GSE113079 dataset to classify CAD samples. Through WGCNA co-expression analysis, 24 co-expression modules were obtained. A total of 187 DElncRNAs and 253 DEGs were determined from 7 modules correlated with CAD. Functional enrichment analysis showed that these DEGs were mainly related to inflammatory and immune-related pathways. Furthermore, 36 regulatory pairs of significantly shared micro RNAs (miRNAs) were identified as dysregulated lncRNA-mRNA (LRM-CAD), which contained 11 lncRNAs and 33 genes. Compared with a single lncRNA or gene, LRM-CAD showed stronger classification performance [average area under the curve (AUC) =0.958]. We screened 3 potential therapeutic drugs, DB09105, DB12371, and DB12612, a by binding drug-target gene interaction network. Molecular docking verified that the S1PR1 gene bound relatively closely to DB12371 and DB12612. The ROC analysis on external data sets showed that S1PR1, AC012640.4, and S1PR1-AC012640.4 could effectively distinguish CAD samples from control samples. CONCLUSIONS: We provided a transcriptome overview of abnormally expressed lncRNAs in CAD patients and identified novel biomarkers for diagnosing CAD.
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The R software package Limma (19) was used to screen differentially expressed genes (DEGs) and lncRNAs between CAD and control samples.
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sections[4] "Differential expression analysis and weighted co-expression network" paragraph 2
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The R software package Limma (19) was used to screen differentially expressed genes (DEGs) and lncRNAs between CAD and control samples.
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The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/).
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sections[11] "Data availability" paragraph 2
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The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/).
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LncRNA Expression Profile and Identification of Novel LncRNA Biomarkers for Diagnosing Coronary Artery Disease
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GSM519078
[194]
GSM519079
[195]
GSM519080
[196]
GSM519081
[197]
GSM519082
sample_count
198
group_sizes
null
group_sizes_basis
null
platform
4133
taxon
Homo sapiens
title
Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the PREDICT Trial
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE64566
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=GSE64566
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE64566
version
null
note
The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/).
access_statement_kind
data_availability_statement
sample_accessions array · 92 items
[0]
GSM1574149
[1]
GSM1574150
[2]
GSM1574151
[3]
GSM1574152
[4]
GSM1574153
[5]
GSM1574154
[6]
GSM1574155
[7]
GSM1574156
[8]
GSM1574157
[9]
GSM1574158
[10]
GSM1574159
[11]
GSM1574160
[12]
GSM1574161
[13]
GSM1574162
[14]
GSM1574163
[15]
GSM1574164
[16]
GSM1574165
[17]
GSM1574166
[18]
GSM1574167
[19]
GSM1574168
[20]
GSM1574169
[21]
GSM1574170
[22]
GSM1574171
[23]
GSM1574172
[24]
GSM1574173
[25]
GSM1574174
[26]
GSM1574175
[27]
GSM1574176
[28]
GSM1574177
[29]
GSM1574178
[30]
GSM1574179
[31]
GSM1574180
[32]
GSM1574181
[33]
GSM1574182
[34]
GSM1574183
[35]
GSM1574184
[36]
GSM1574185
[37]
GSM1574186
[38]
GSM1574187
[39]
GSM1574188
[40]
GSM1574189
[41]
GSM1574190
[42]
GSM1574191
[43]
GSM1574192
[44]
GSM1574193
[45]
GSM1574194
[46]
GSM1574349
[47]
GSM1574350
[48]
GSM1574351
[49]
GSM1574352
[50]
GSM1574353
[51]
GSM1574354
[52]
GSM1574355
[53]
GSM1574356
[54]
GSM1574357
[55]
GSM1574358
[56]
GSM1574359
[57]
GSM1574360
[58]
GSM1574361
[59]
GSM1574362
[60]
GSM1574363
[61]
GSM1574364
[62]
GSM1574365
[63]
GSM1574366
[64]
GSM1574367
[65]
GSM1574368
[66]
GSM1574369
[67]
GSM1574370
[68]
GSM1574371
[69]
GSM1574372
[70]
GSM1574373
[71]
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[72]
GSM1574375
[73]
GSM1574376
[74]
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[75]
GSM1574378
[76]
GSM1574379
[77]
GSM1574380
[78]
GSM1574381
[79]
GSM1574382
[80]
GSM1574383
[81]
GSM1574384
[82]
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[83]
GSM1574386
[84]
GSM1574387
[85]
GSM1574388
[86]
GSM1574389
[87]
GSM1574390
[88]
GSM1574391
[89]
GSM1574392
[90]
GSM1574393
[91]
GSM1574394
sample_count
92
group_sizes
null
group_sizes_basis
null
platform
8179;6947
taxon
Homo sapiens
title
GE/miRNA expression profile of Human Epicardial Adipose Tissue (EAT) and Subcutaneous Adipose Tissue (SAT) in Patients with Coronary Artery Disease (CAD) vs. Controls (CTRL)
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 16 fields
id
asset:table:pmid:34532380:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1d8753bef189f996e4c4e335029db13de288cad9768cb3c81f5c8f740c169856
bytes
446
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[21]/table-wrap[1]#t1
version
null
note
Informations of 3 drugs
structure object · 5 fields
pmcid
PMC8421950
section_index
9
section_title
Identification of potential drugs targeting LRM-CAD
row_count
4
column_count
6
table object · 8 fields
label
Table 1
caption
Informations of 3 drugs
rows array · 4 items
[0] array · 6 items
[0]
Drug_id
[1]
Distances
[2]
P value
[3]
FDR
[4]
global_pvalue
[5]
global_FDR
[1] array · 6 items
[0]
DB09105
[1]
−5.7301
[2]
2.53E-41
[3]
1.39E-37
[4]
3.52E-51
[5]
1.93E-47
[2] array · 6 items
[0]
DB12371
[1]
−2.36505
[2]
5.01E-19
[3]
2.75E-15
[4]
9.89E-18
[5]
5.43E-14
[3] array · 6 items
[0]
DB12612
[1]
−2.36505
[2]
5.01E-19
[3]
2.75E-15
[4]
9.89E-18
[5]
5.43E-14
locator
section[21]/table-wrap[1]#t1
[6] object · 16 fields
id
asset:table:pmid:34532380:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1d8753bef189f996e4c4e335029db13de288cad9768cb3c81f5c8f740c169856
bytes
446
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[21]/table-wrap[1]#t1
version
null
note
Informations of 3 drugs
structure object · 5 fields
pmcid
PMC8421950
section_index
21
section_title
Identification of potential drugs targeting LRM-CAD
row_count
4
column_count
6
table object · 8 fields
label
Table 1
caption
Informations of 3 drugs
rows array · 4 items
[0] array · 6 items
[0]
Drug_id
[1]
Distances
[2]
P value
[3]
FDR
[4]
global_pvalue
[5]
global_FDR
[1] array · 6 items
[0]
DB09105
[1]
−5.7301
[2]
2.53E-41
[3]
1.39E-37
[4]
3.52E-51
[5]
1.93E-47
[2] array · 6 items
[0]
DB12371
[1]
−2.36505
[2]
5.01E-19
[3]
2.75E-15
[4]
9.89E-18
[5]
5.43E-14
[3] array · 6 items
[0]
DB12612
[1]
−2.36505
[2]
5.01E-19
[3]
2.75E-15
[4]
9.89E-18
[5]
5.43E-14
locator
section[21]/table-wrap[1]#t1
gaps array · 8 items
[0]
asset:data:geo:GSE113079 not downloaded
[1]
asset:data:geo:GSE113079 licence not read
[2]
asset:data:geo:GSE124272 not downloaded
[3]
asset:data:geo:GSE124272 licence not read
[4]
asset:data:geo:GSE20681 not downloaded
[5]
asset:data:geo:GSE20681 licence not read
[6]
asset:data:geo:GSE64566 not downloaded
[7]
asset:data:geo:GSE64566 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
The R software package Limma (19) was used to screen differentially expressed genes (DEGs) and lncRNAs between CAD and control samples.
[1] object · 10 fields
id
method-2
family
principal_component_analysis
specific
pca
label
Principal component analysis
dsl_operations array · 1 item
[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.8
band
high
quote
PCA
[2] object · 10 fields
id
method-3
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
0.7
band
medium
quote
pathway enrichment
[3] object · 10 fields
id
method-4
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.7
band
medium
quote
ROC analysis
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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: limma_voom.
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 · 4 items
[0]
GSE113079
[1]
GSE20681
[2]
GSE64566
[3]
GSE124272
resolved_accessions array · 4 items
[0]
GSE113079
[1]
GSE20681
[2]
GSE64566
[3]
GSE124272
statements array · 1 item
[0]
The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/).
basis
The paper names GSE113079, GSE20681, GSE64566, GSE124272 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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 4 items
[0]
source:pmid:34532380
[1]
data:geo:GSE113079
[2]
asset:table:pmid:34532380:1
[3]
asset:table:pmid:34532380:2
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:GSE113079
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
2026-10-31T18:35:01Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
28022
completion_tokens
4044
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
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:34532380
type
paper
label
pmid:34532380
[1] object · 3 fields
id
source:pmid:34532380
type
manuscript
label
PMID 34532380 full text
[2] object · 3 fields
id
data:geo:GSE113079
type
dataset
label
GEO GSE113079
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:34532380
type
paper
label
pmid:34532380
[1] object · 3 fields
id
source:pmid:34532380
type
manuscript
label
PMID 34532380 full text
[2] object · 3 fields
id
data:geo:GSE113079
type
dataset
label
GEO GSE113079
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34532380
type
extraction
used array · 1 item
[0]
source:pmid:34532380
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE113079
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE113079
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
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 object · 4 fields
parent_id
pmid:34532380
parent_hash
sha256:a8f656335ae7c800cf98e6e79cb2363bb4f1c7a504a712789106ab6281997045
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE113079 licence not read
[1]
asset:data:geo:GSE113079 not downloaded
[2]
asset:data:geo:GSE124272 licence not read
[3]
asset:data:geo:GSE124272 not downloaded
[4]
asset:data:geo:GSE20681 licence not read
[5]
asset:data:geo:GSE20681 not downloaded
[6]
asset:data:geo:GSE64566 licence not read
[7]
asset:data:geo:GSE64566 not downloaded
[8]
execution.not_run
[9]
method.reader_differs_from_extractor
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The R software package Limma (19) was used to screen differentially expressed genes (DEGs) and lncRNAs between CAD and control samples.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34532380", "kind": "science-record", "revision": 8, "content_hash": "sha256:9ff16a1c4b124d55d2b7b19740772c4cfb227ca64c14f8e26a55e0da13119ea8", "created_at": "2026-11-01T15:41:52Z", "updated_at": "2026-11-01T22:47:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Diagnostic biomarkers and potential drug targets for coronary artery disease as revealed by systematic analysis of lncRNA characteristics.", "doi": "10.21037/atm-21-3276", "pmid": "34532380", "authors": ["Ziqi Chen", "Dawang Zhou", "Xiaocong Zhang", "Qian Wu", "Guifu Wu"], "journal": "Annals of translational medicine", "year": 2021, "abstract": "BACKGROUND: The expression profile of lncRNAs in coronary artery disease (CAD) patients has not yet been fully explored. Therefore, the current study aimed to investigate lncRNA-based prognostic biomarkers for CAD.\nMETHODS: The expression profiles of lncRNA and messenger RNA (mRNA) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed lncRNA (DElncRNAs) and DEmRNAs were identified from CAD and normal samples, and weighted gene co-expression network analysis (WGCNA) was conducted. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to investigate the principal functions of significantly dysregulated genes. The potential drugs of new CAD-specific genes were identified by network distance method. Receiver operating characteristic (ROC) was used to verify the classification performance of genes.\nRESULTS: A total of 512 differentially expressed genes (DEGs) and 308 DElncRNAs were identified from GSE113079 dataset to classify CAD samples. Through WGCNA co-expression analysis, 24 co-expression modules were obtained. A total of 187 DElncRNAs and 253 DEGs were determined from 7 modules correlated with CAD. Functional enrichment analysis showed that these DEGs were mainly related to inflammatory and immune-related pathways. Furthermore, 36 regulatory pairs of significantly shared micro RNAs (miRNAs) were identified as dysregulated lncRNA-mRNA (LRM-CAD), which contained 11 lncRNAs and 33 genes. Compared with a single lncRNA or gene, LRM-CAD showed stronger classification performance [average area under the curve (AUC) =0.958]. We screened 3 potential therapeutic drugs, DB09105, DB12371, and DB12612, a by binding drug-target gene interaction network. Molecular docking verified that the S1PR1 gene bound relatively closely to DB12371 and DB12612. The ROC analysis on external data sets showed that S1PR1, AC012640.4, and S1PR1-AC012640.4 could effectively distinguish CAD samples from control samples.\nCONCLUSIONS: We provided a transcriptome overview of abnormally expressed lncRNAs in CAD patients and identified novel biomarkers for diagnosing CAD.", "claims": [{"id": "claim-method", "statement": "The R software package Limma (19) was used to screen differentially expressed genes (DEGs) and lncRNAs between CAD and control samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34532380", "locator": "sections[4] \"Differential expression analysis and weighted co-expression network\" paragraph 2", "quote": "The R software package Limma (19) was used to screen differentially expressed genes (DEGs) and lncRNAs between CAD and control samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34532380", "locator": "sections[11] \"Data availability\" paragraph 2", "quote": "The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/)."}], "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:34532380"], "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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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE113079", "GSE20681", "GSE64566", "GSE124272"], "resolved_accessions": ["GSE113079", "GSE20681", "GSE64566", "GSE124272"], "statements": ["The discovered Gene Expression data were downloaded from the GEO, numbers GSE64566, GSE20681, and a standardized data set were downloaded. Genome annotation files were download from GENCODE (https://www.gencodegenes.org/human/). The regulatory relationships between miRNA-mRNA were downloaded from miRWalk (http://mirwalk.umm.uni-heidelberg.de/). Regulatory interactions between miRNA-lncRNA were downloaded from starBase (http://starbase.sysu.edu.cn/) and miRcode (http://www.mircode.org/). Drug and protein interaction data were downloaded from Drugbank (https://go.drugbank.com/)."], "basis": "The paper names GSE113079, GSE20681, GSE64566, GSE124272 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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:34532380", "data:geo:GSE113079", "asset:table:pmid:34532380:1", "asset:table:pmid:34532380:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE113079"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:35:01Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 28022, "completion_tokens": 4044, "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:34532380", "type": "paper", "label": "pmid:34532380"}, {"id": "source:pmid:34532380", "type": "manuscript", "label": "PMID 34532380 full text"}, {"id": "data:geo:GSE113079", "type": "dataset", "label": "GEO GSE113079"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34532380", "type": "paper", "label": "pmid:34532380"}, {"id": "source:pmid:34532380", "type": "manuscript", "label": "PMID 34532380 full text"}, {"id": "data:geo:GSE113079", "type": "dataset", "label": "GEO GSE113079"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34532380", "type": "extraction", "used": ["source:pmid:34532380"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE113079", "type": "accession_resolution", "used": ["data:geo:GSE113079"], "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:34532380", "parent_hash": "sha256:a8f656335ae7c800cf98e6e79cb2363bb4f1c7a504a712789106ab6281997045", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE113079 licence not read", "asset:data:geo:GSE113079 not downloaded", "asset:data:geo:GSE124272 licence not read", "asset:data:geo:GSE124272 not downloaded", "asset:data:geo:GSE20681 licence not read", "asset:data:geo:GSE20681 not downloaded", "asset:data:geo:GSE64566 licence not read", "asset:data:geo:GSE64566 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The R software package Limma (19) was used to screen differentially expressed genes (DEGs) and lncRNAs between CAD and control samples."], "order_basis": "analysis_only", "id": "assay:1"}]}