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pmid:30250588

Identification of potential biomarkers in cervical cancer with combined public mRNA and miRNA expression microarray data analysis.

Sizhe Wang · Xiaojin Chen

Oncology letters · 2018 doi:10.3892/ol.2018.9323

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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title
Identification of potential biomarkers in cervical cancer with combined public mRNA and miRNA expression microarray data analysis.
doi
10.3892/ol.2018.9323
pmid
30250588
authors array · 2 items
[0]
Sizhe Wang
[1]
Xiaojin Chen
journal
Oncology letters
year
2018
abstract
Cervical cancer is the fourth most prevalent malignancy in females worldwide. Early diagnosis is key to improving survival rates. Molecular biomarkers are an important method for diagnosing a number of types of cancer, including cervical cancer. The present study utilized public data from three mRNA microarray datasets and one microRNA dataset to analyze the key genes involved in cervical cancer. The mRNA and microRNA expression profile datasets (GSE9750, GSE46857, GSE67522 and GSE30656) were downloaded from the Gene Expression Omnibus database (GEO). Differentially expressed genes (DEGs) and microRNAs (DEMs) were screened using the online tool GEO2R. By using the DEGs consistent across the three mRNA datasets, a functional and pathway enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction (PPI) network was constructed and module analysis performed using the Search Tool for the Retrieval of Interacting Genes. Validated target genes of the DEMs were identified using the miRecords website. Using the identified target genes of the DEMs, a survival analysis was performed using the OncoLnc online tool. A total of 73 DEGs and 19 DEMs were screened from the microarray expression profile datasets. 'Integrin-mediated', 'proteolysis' and 'phosphoinositide 3 kinase-protein kinase 3' signaling pathways were the most enriched in the DEGs. Three of the DEGs, including Ras homolog family member B (RhoB), stathmin 1 (STMN1) and cyclin D1 (CCNB1) were validated DEM target genes. The OncoLnc survival analysis identified that RhoB was associated with a significantly longer overall survival, whereas STMN1 was associated with a significantly reduced overall survival time in patients with cervical cancer. Finally, data from The Cancer Genome Atlas revealed an association between the mRNA expression levels of RhoB and STMN1, and the overall survival time for patients with cervical cancer. In conclusion, RhoB and STMN1 were identified as key genes that may provide potential targets for cervical cancer diagnosis and treatment.
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The datasets generated and/or analyzed during the current study are available in the GEO repository, (https://www.ncbi.nlm.nih.gov/geo).
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Altered microRNA expression associated with chromosomal and epigenetic changes contributes to cervical carcinogenesis
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Genome-wide analysis of gene expression to identify the probably functionally relevant pathways in cervical cancer progression
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Identification of gene expression profiles in cervical cancer
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List of 84 genes, 11 of which exhibited an inconsistent trend, that were identified as upregulated or downregulated using the GSE9750, GSE46857 and GSE67522 microarray datasets.
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12
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Identification of DEGs in microarray datasets and PPI network construction
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Table I.
caption
List of 84 genes, 11 of which exhibited an inconsistent trend, that were identified as upregulated or downregulated using the GSE9750, GSE46857 and GSE67522 microarray datasets.
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[0]
A, Upregulated DEGs
[1] array · 1 item
[0]
IGF1, KRT1, AHNAK, FHL1, PRRX1, CYP3A5, ZFP36, CCND1, IGFBP5, PALMD, APOD, PIK3R1, PGM5, FOSB, GSTM5, DCN, BAIAP2, SYNGR1, HOPX, CXCL14, MPZL2, LAMA2, CDH13, CRYAB, MAL, EGR1, ARG1, DUSP1, TGM3, DPT, RGS5, SDPR, SORBS1, FOS, RHOB, CXCL12, JAM2, SPARCL1, AQP1, COL17A1, CAB39L, SLC5A1, GPX3, PTGS1, PTGIS
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[0]
[3] array · 1 item
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[4] array · 1 item
[0]
[5] array · 1 item
[0]
BRCA1, LAMP3, ASF1B, RYR1, SMC4, AURKA, CKS1B, PCNA, SPP1, TYMS, APOL1, PLOD2, STMN1, CKS2, LYN, AGRN, CCNB2, PRC1, TOP2A, CXCL9, WDHD1, RSAD2, HMMR, MCM6, IFNAR2, PLAUR, CENPF, BIRC3
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[0]
[7] array · 1 item
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C, Genes with an inconsistent trend
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[0]
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PEG3, NTRK2, BNIP3, MYH11, SVEP1, TRIM13, UNC93A, ARMCX1, IL17RC, KRT7, SLC6A8
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Functional/pathway enrichment analysis of the differentially expressed genes from 3 cervical cancer mRNA expression profiles.
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Functional pathway enrichment analysis
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Table II.
caption
Functional/pathway enrichment analysis of the differentially expressed genes from 3 cervical cancer mRNA expression profiles.
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[1]
Description
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hsa05222
[1]
Small cell lung cancer
[2]
5
[3]
3.34×10−3
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[1]
Toll-like receptor signaling pathway
[2]
5
[3]
6.45×10−3
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hsa04510
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Focal adhesion
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6
[3]
1.59×10−2
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ECM-receptor interaction
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4
[3]
2.42×10−2
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hsa05200
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Pathways in cancer
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7
[3]
3.29×10−2
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hsa04062
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Chemokine signaling pathway
[2]
5
[3]
4.94×10−2
[7] array · 4 items
[0]
hsa04150
[1]
mTOR signaling pathway
[2]
3
[3]
5.71×10−2
[8] array · 4 items
[0]
hsa00590
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Arachidonic acid metabolism
[2]
3
[3]
6.51×10−2
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[0]
hsa04110
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Cell cycle
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4
[3]
6.56×10−2
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[0]
hsa05214
[1]
Glioma
[2]
3
[3]
7.99×10−2
[11] array · 4 items
[0]
hsa04115
[1]
p53 signaling pathway
[2]
3
[3]
9.11×10−2
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[0]
hsa04730
[1]
Long-term depression
[2]
3
[3]
9.34×10−2
[13] array · 4 items
[0]
hsa05218
[1]
Melanoma
[2]
3
[3]
9.80×10−2
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Differentially expressed miRNAs in cervical cancer screened out from miRNA expression microarray GSE30656 and their target genes which have been reported and validated using miRecords.
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miRNA-DEG pairs
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Table III.
caption
Differentially expressed miRNAs in cervical cancer screened out from miRNA expression microarray GSE30656 and their target genes which have been reported and validated using miRecords.
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[4] array · 4 items
[0]
miR-15b
[1]
1.42×10−3
[2]
1.01
[3]
BCL2, CCNE1, RECK, MKK4, RECK, BMI1
[5] array · 4 items
[0]
miR-16
[1]
5.47×10−4
[2]
1.06
[3]
TPPP3, BCL2, VEGFA, CCND1, PDCD4, RAB21, CADM1, SKAP2, WT1, BCL2
[6] array · 4 items
[0]
miR-192
[1]
3.98×10−2
[2]
1.18
[3]
DHFR, WNK1, RB1
[7] array · 4 items
[0]
miR-193b
[1]
2.69×10−4
[2]
−1.29
[3]
PLAU, ESR1
[8] array · 4 items
[0]
miR-194
[1]
2.24×10−2
[2]
1.07
[3]
N/A
[9] array · 4 items
[0]
miR-200a
[1]
9.84×10−3
[2]
1.07
[3]
ZEB2, ZEB1 FOG2, ERBB2IP, BAP1, KLHL20
[10] array · 4 items
[0]
miR-203
[1]
1.57×10−5
[2]
−3.00
[3]
N/A
[11] array · 4 items
[0]
miR-205
[1]
2.16×10−2
[2]
−2.26
[3]
ZEB2, ZEB1, VEGFA, INPPL1, ERBB3, PRKCE, MED1
[12] array · 4 items
[0]
miR-21
[1]
1.69×10−5
[2]
2.10
[3]
TPM1, NFIB, PDCD4, SERPINB5, CDKN1A, FAS, FAM3C, HIPK3, PRRG4, ACTA2
[13] array · 4 items
[0]
miR-223
[1]
1.38×10−2
[2]
1.04
[3]
NFIA, LMO2, LMO2, STMN1, RHOB, IRS1, FBXW7, EPB41L3
[14] array · 4 items
[0]
miR-370
[1]
1.04×10−3
[2]
−2.37
[3]
MAP3K8
[15] array · 4 items
[0]
miR-494
[1]
2.18×10−2
[2]
−1.22
[3]
PTEN
[16] array · 4 items
[0]
miR-565
[1]
1.61×10−2
[2]
−1.04
[3]
N/A
[17] array · 4 items
[0]
miR-572
[1]
1.23×10−2
[2]
−1.04
[3]
N/A
[18] array · 4 items
[0]
miR-575
[1]
1.02×10−3
[2]
−1.46
[3]
N/A
[19] array · 4 items
[0]
miR-630
[1]
1.34×10−2
[2]
−1.20
[3]
N/A
[20] array · 4 items
[0]
miR-638
[1]
1.21×10−2
[2]
−1.37
[3]
N/A
[21] array · 4 items
[0]
miR-99a
[1]
6.46×10−4
[2]
−1.25
[3]
RAVER2, mTOR, IGF-IR, RPTOR, FGFR3
locator
section[14]/table-wrap[1]#tIII-ol-0-0-9323
[8] object · 16 fields
id
asset:table:pmid:30250588:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:7e132d0bd750cfcf565899a38d38872d93b781bb82cb1cf7bc841ea827692d06
bytes
438
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[15]/table-wrap[1]#tIV-ol-0-0-9323
version
null
note
The prognostic value of two differentially expressed genes identified in patients with other types of cancer.
structure object · 5 fields
pmcid
PMC6144068
section_index
15
section_title
Overall survival analysis
row_count
5
column_count
3
table object · 8 fields
label
Table IV.
caption
The prognostic value of two differentially expressed genes identified in patients with other types of cancer.
rows array · 5 items
[0] array · 3 items
[0]
Cancer type
[1]
Ras homolog family member B
[2]
Stathmin 1
[1] array · 3 items
[0]
Breast
[1]
0.158
[2]
0.569
[2] array · 3 items
[0]
Gastric
[1]
0.046
[2]
0.431
[3] array · 3 items
[0]
Lung
[1]
0.339
[2]
0.127
[4] array · 3 items
[0]
Ovarian
[1]
0.062
[2]
0.293
locator
section[15]/table-wrap[1]#tIV-ol-0-0-9323
gaps array · 8 items
[0]
asset:data:geo:GSE30656 not downloaded
[1]
asset:data:geo:GSE30656 licence not read
[2]
asset:data:geo:GSE46857 not downloaded
[3]
asset:data:geo:GSE46857 licence not read
[4]
asset:data:geo:GSE67522 not downloaded
[5]
asset:data:geo:GSE67522 licence not read
[6]
asset:data:geo:GSE9750 not downloaded
[7]
asset:data:geo:GSE9750 licence not read
analysis object · 4 fields
state
partial
methods array · 5 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
reordered
quote
Kaplan-Meier analysis and log-rank test were used in overall survival analysis (by OncoLnc) and pathway enrichment analysis (by DAVID). All cervical cancer data were downloaded from TCGA.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
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
0.8
band
high
quote
log-rank
[3] object · 10 fields
id
method-4
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
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
protein-protein interaction
[4] object · 10 fields
id
method-5
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
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 · 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 · 4 items
[0]
GSE9750
[1]
GSE46857
[2]
GSE67522
[3]
GSE30656
resolved_accessions array · 4 items
[0]
GSE9750
[1]
GSE46857
[2]
GSE67522
[3]
GSE30656
statements array · 1 item
[0]
The datasets generated and/or analyzed during the current study are available in the GEO repository, (https://www.ncbi.nlm.nih.gov/geo).
basis
The paper names GSE9750, GSE46857, GSE67522, GSE30656 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
assets array · 6 items
[0]
source:pmid:30250588
[1]
data:geo:GSE30656
[2]
asset:table:pmid:30250588:1
[3]
asset:table:pmid:30250588:2
[4]
asset:table:pmid:30250588:3
[5]
asset:table:pmid:30250588:4
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:GSE30656
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
2026-10-31T18:12:23Z
independence
single_reader
evidence_check object · 2 fields
method
reordered
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
25927
completion_tokens
1828
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:30250588
type
paper
label
pmid:30250588
[1] object · 3 fields
id
source:pmid:30250588
type
manuscript
label
PMID 30250588 full text
[2] object · 3 fields
id
data:geo:GSE30656
type
dataset
label
GEO GSE30656
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:30250588
type
paper
label
pmid:30250588
[1] object · 3 fields
id
source:pmid:30250588
type
manuscript
label
PMID 30250588 full text
[2] object · 3 fields
id
data:geo:GSE30656
type
dataset
label
GEO GSE30656
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-30250588
type
extraction
used array · 1 item
[0]
source:pmid:30250588
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE30656
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE30656
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:30250588
parent_hash
sha256:d9d7696d92b00ec58164a407af158a41a8ce6d86d1c7c74619b77233733d372e
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE30656 licence not read
[1]
asset:data:geo:GSE30656 not downloaded
[2]
asset:data:geo:GSE46857 licence not read
[3]
asset:data:geo:GSE46857 not downloaded
[4]
asset:data:geo:GSE67522 licence not read
[5]
asset:data:geo:GSE67522 not downloaded
[6]
asset:data:geo:GSE9750 licence not read
[7]
asset:data:geo:GSE9750 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 · 2 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
th combined public mRNA and miRNA expression microarray data analysis.
[1]
t study utilized public data from three mRNA microarray datasets and one microRNA dataset to analyze
[2]
f 73 DEGs and 19 DEMs were screened from the microarray expression profile datasets. 'Integrin-media
[3]
Materials and methods Microarray datasets and data processing A total of 3 hu
order_basis
paper_text_order:60
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
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survival_km
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supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier analysis and log-rank test were used in overall survival analysis (by OncoLnc) and pathway enrichment analysis (by DAVID). All cervical cancer data were downloaded from TCGA.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30250588", "kind": "science-record", "revision": 8, "content_hash": "sha256:5dc04f18696c30dc73f06c1bc31edb7d8c6d8e8199a9937fb8de992333ed1a11", "created_at": "2026-11-01T15:40:37Z", "updated_at": "2026-11-01T22:43:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential biomarkers in cervical cancer with combined public mRNA and miRNA expression microarray data analysis.", "doi": "10.3892/ol.2018.9323", "pmid": "30250588", "authors": ["Sizhe Wang", "Xiaojin Chen"], "journal": "Oncology letters", "year": 2018, "abstract": "Cervical cancer is the fourth most prevalent malignancy in females worldwide. Early diagnosis is key to improving survival rates. Molecular biomarkers are an important method for diagnosing a number of types of cancer, including cervical cancer. The present study utilized public data from three mRNA microarray datasets and one microRNA dataset to analyze the key genes involved in cervical cancer. The mRNA and microRNA expression profile datasets (GSE9750, GSE46857, GSE67522 and GSE30656) were downloaded from the Gene Expression Omnibus database (GEO). Differentially expressed genes (DEGs) and microRNAs (DEMs) were screened using the online tool GEO2R. By using the DEGs consistent across the three mRNA datasets, a functional and pathway enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction (PPI) network was constructed and module analysis performed using the Search Tool for the Retrieval of Interacting Genes. Validated target genes of the DEMs were identified using the miRecords website. Using the identified target genes of the DEMs, a survival analysis was performed using the OncoLnc online tool. A total of 73 DEGs and 19 DEMs were screened from the microarray expression profile datasets. 'Integrin-mediated', 'proteolysis' and 'phosphoinositide 3 kinase-protein kinase 3' signaling pathways were the most enriched in the DEGs. Three of the DEGs, including Ras homolog family member B (RhoB), stathmin 1 (STMN1) and cyclin D1 (CCNB1) were validated DEM target genes. The OncoLnc survival analysis identified that RhoB was associated with a significantly longer overall survival, whereas STMN1 was associated with a significantly reduced overall survival time in patients with cervical cancer. Finally, data from The Cancer Genome Atlas revealed an association between the mRNA expression levels of RhoB and STMN1, and the overall survival time for patients with cervical cancer. In conclusion, RhoB and STMN1 were identified as key genes that may provide potential targets for cervical cancer diagnosis and treatment.", "claims": [{"id": "claim-data-access", "statement": "The datasets generated and/or analyzed during the current study are available in the GEO repository, (https://www.ncbi.nlm.nih.gov/geo).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30250588", "locator": "sections[20] \"Availability of data and materials\" paragraph 2", "quote": "The datasets generated and/or analyzed during the current study are available in the GEO repository, (https://www.ncbi.nlm.nih.gov/geo)."}], "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:30250588"], "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:GSE30656"], "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:GSE30656"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30250588", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/ol.2018.9323", "sha256": 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"structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated and/or analyzed during the current study are available in the GEO repository, (https://www.ncbi.nlm.nih.gov/geo).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM760507", "GSM760508", "GSM760509", "GSM760510", "GSM760511", "GSM760512", "GSM760513", "GSM760514", "GSM760515", "GSM760516", "GSM760517", "GSM760518", "GSM760519", "GSM760520", "GSM760521", "GSM760522", "GSM760523", "GSM760524", "GSM760525", "GSM760526", "GSM760527", "GSM760528", "GSM760529", "GSM760530", "GSM760531", "GSM760532", "GSM760533", "GSM760534", "GSM760535", "GSM760536", "GSM760537", "GSM760538", "GSM760539", "GSM760540", "GSM760541", "GSM760542", "GSM760543", "GSM760544", "GSM760545", "GSM760546", "GSM760547", "GSM760548", "GSM760549", "GSM760550", "GSM760551", "GSM760552", "GSM760553"], "sample_count": 47, "group_sizes": null, "group_sizes_basis": null, 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"read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#tII-ol-0-0-9323", "version": null, "note": "Functional/pathway enrichment analysis of the differentially expressed genes from 3 cervical cancer mRNA expression profiles.", "structure": {"pmcid": "PMC6144068", "section_index": 13, "section_title": "Functional pathway enrichment analysis", "row_count": 14, "column_count": 4}, "table": {"label": "Table II.", "caption": "Functional/pathway enrichment analysis of the differentially expressed genes from 3 cervical cancer mRNA expression profiles.", "rows": [["Term", "Description", "Count", "P-value"], ["hsa05222", "Small cell lung cancer", "5", "3.34×10−3"], ["hsa04620", "Toll-like receptor signaling pathway", "5", "6.45×10−3"], ["hsa04510", "Focal adhesion", "6", "1.59×10−2"], ["hsa04512", "ECM-receptor interaction", "4", "2.42×10−2"], ["hsa05200", "Pathways in cancer", "7", "3.29×10−2"], ["hsa04062", "Chemokine signaling pathway", "5", "4.94×10−2"], 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WNK1, RB1"], ["miR-193b", "2.69×10−4", "−1.29", "PLAU, ESR1"], ["miR-194", "2.24×10−2", "1.07", "N/A"], ["miR-200a", "9.84×10−3", "1.07", "ZEB2, ZEB1 FOG2, ERBB2IP, BAP1, KLHL20"], ["miR-203", "1.57×10−5", "−3.00", "N/A"], ["miR-205", "2.16×10−2", "−2.26", "ZEB2, ZEB1, VEGFA, INPPL1, ERBB3, PRKCE, MED1"], ["miR-21", "1.69×10−5", "2.10", "TPM1, NFIB, PDCD4, SERPINB5, CDKN1A, FAS, FAM3C, HIPK3, PRRG4, ACTA2"], ["miR-223", "1.38×10−2", "1.04", "NFIA, LMO2, LMO2, STMN1, RHOB, IRS1, FBXW7, EPB41L3"], ["miR-370", "1.04×10−3", "−2.37", "MAP3K8"], ["miR-494", "2.18×10−2", "−1.22", "PTEN"], ["miR-565", "1.61×10−2", "−1.04", "N/A"], ["miR-572", "1.23×10−2", "−1.04", "N/A"], ["miR-575", "1.02×10−3", "−1.46", "N/A"], ["miR-630", "1.34×10−2", "−1.20", "N/A"], ["miR-638", "1.21×10−2", "−1.37", "N/A"], ["miR-99a", "6.46×10−4", "−1.25", "RAVER2, mTOR, IGF-IR, RPTOR, FGFR3"]], "row_count": 22, "column_count": 4, "numeric_cells": 67, "header_rows": 1, "locator": 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