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pmid:31376328

Regulatory Network Analysis to Reveal Important miRNAs and Genes in Non-Small Cell Lung Cancer.

Xingni Zhou · Zhenghua Zhang · Xiaohua Liang

Cell journal · 2020 doi:10.22074/cellj.2020.6281

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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pmid:31376328
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2026-11-01T22:00:45Z
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title
Regulatory Network Analysis to Reveal Important miRNAs and Genes in Non-Small Cell Lung Cancer.
doi
10.22074/cellj.2020.6281
pmid
31376328
authors array · 3 items
[0]
Xingni Zhou
[1]
Zhenghua Zhang
[2]
Xiaohua Liang
journal
Cell journal
year
2020
abstract
OBJECTIVE: Lung cancer has high incidence and mortality rate, and non-small cell lung cancer (NSCLC) takes up approximately 85% of lung cancer cases. This study is aimed to reveal miRNAs and genes involved in the mechanisms of NSCLC. MATERIALS AND METHODS: In this retrospective study, GSE21933 (21 NSCLC samples and 21 normal samples), GSE27262 (25 NSCLC samples and 25 normal samples), GSE43458 (40 NSCLC samples and 30 normal samples) and GSE74706 (18 NSCLC samples and 18 normal samples) were searched from gene expression omnibus (GEO) database. The differentially expressed genes (DEGs) were screened from the four microarray datasets using MetaDE package, and then conducted with functional annotation using DAVID tool. Afterwards, protein-protein interaction (PPI) network and module analyses were carried out using Cytoscape software. Based on miR2Disease and Mirwalk2 databases, microRNAs (miRNAs)-DEG pairs were selected. Finally, Cytoscape software was applied to construct miRNA-DEG regulatory network. RESULTS: Totally, 727 DEGs (382 up-regulated and 345 down-regulated) had the same expression trends in all of the four microarray datasets. In the PPI network, TP53 and FOS could interact with each other and they were among the top 10 nodes. Besides, five network modules were found. After construction of the miRNA-gene network, top 10 miRNAs (such as hsa-miR-16-5p, hsa-let-7b-5p, hsa-miR-15a-5p, hsa-miR-15b-5p, hsa-let-7a-5p and hsa-miR-34a- 5p) and genes (such as HMGA1, BTG2, SOD2 and TP53) were selected. CONCLUSION: These miRNAs and genes might contribute to the pathogenesis of NSCLC.
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Using the MetaDE package in R software (https:// cran.r-project.org/web/packages/MetaDE/) (15), DEGs were screened from the four microarray datasets.
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sections[5] "Meta-analysis" paragraph 2
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Using the MetaDE package in R software (https:// cran.r-project.org/web/packages/MetaDE/) (15), DEGs were screened from the four microarray datasets.
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Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.
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Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.
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Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.
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Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.
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Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.
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Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.
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Construction of miRNA-DEG regulatory network
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[2]
3
[3]
7.54E-03
[4]
POLR2G, POLR2I, POLR2B
[6] array · 5 items
[0]
hsa00230
[1]
Purine metabolism
[2]
3
[3]
2.06E-02
[4]
POLR2G, POLR2I, POLR2B
[7] array · 5 items
[0]
hsa05169
[1]
Epstein-Barr virus infection
[2]
3
[3]
2.38E-02
[4]
POLR2G, POLR2I, POLR2B
[8] array · 5 items
[0]
hsa05016
[1]
Huntington’s disease
[2]
3
[3]
2.43E-02
[4]
POLR2G, POLR2I, POLR2B
[9] array · 6 items
[0]
a
[1]
hsa05166
[2]
HTLV-I infection
[3]
7
[4]
4.62E-04
[5]
EGR1, FOS, ETS1, TP53, NFKBIA, TCF3, NFATC1
[10] array · 5 items
[0]
hsa04660
[1]
T cell receptor signaling pathway
[2]
5
[3]
7.24E-04
[4]
PTPRC, FOS, MAPK3, NFKBIA, NFATC1
[11] array · 5 items
[0]
hsa05161
[1]
Hepatitis B
[2]
5
[3]
2.57E-03
[4]
FOS, MAPK3, TP53, NFKBIA, NFATC1
[12] array · 5 items
[0]
hsa04662
[1]
B cell receptor signaling pathway
[2]
4
[3]
2.61E-03
[4]
FOS, MAPK3, NFKBIA, NFATC1
[13] array · 5 items
[0]
hsa04010
[1]
MAPK signaling pathway
[2]
6
[3]
3.22E-03
[4]
FOS, MAPK3, TP53, DDIT3, NFATC1, DUSP6
[14] array · 5 items
[0]
hsa05133
[1]
Pertussis
[2]
4
[3]
3.31E-03
[4]
FOS, IRF8, MAPK3, PYCARD
[15] array · 5 items
[0]
hsa05215
[1]
Prostate cancer
[2]
4
[3]
5.19E-03
[4]
MAPK3, TP53, NFKBIA, MTOR
[16] array · 5 items
[0]
hsa04668
[1]
TNF signaling pathway
[2]
4
[3]
8.70E-03
[4]
FOS, MAPK3, EDN1, NFKBIA
[17] array · 5 items
[0]
hsa04151
[1]
PI3K-Akt signaling pathway
[2]
6
[3]
1.15E-02
[4]
MAPK3, COL3A1, COL6A3, TP53, ITGB4, MTOR
[18] array · 5 items
[0]
hsa04380
[1]
Osteoclast differentiation
[2]
4
[3]
1.54E-02
[4]
FOS, MAPK3, NFKBIA, NFATC1
[19] array · 5 items
[0]
hsa04621
[1]
NOD-like receptor signaling pathway
[2]
3
[3]
2.06E-02
[4]
MAPK3, PYCARD, NFKBIA
[20] array · 5 items
[0]
hsa04921
[1]
Oxytocin signaling pathway
[2]
4
[3]
2.53E-02
[4]
FOS, PRKAG1, MAPK3, NFATC1
[21] array · 5 items
[0]
hsa05210
[1]
Colorectal cancer
[2]
3
[3]
2.58E-02
[4]
FOS, MAPK3, TP53
[22] array · 5 items
[0]
hsa05230
[1]
Central carbon metabolism in cancer
[2]
3
[3]
2.73E-02
[4]
MAPK3, TP53, MTOR
[23] array · 5 items
[0]
hsa05214
[1]
Glioma
[2]
3
[3]
2.81E-02
[4]
MAPK3, TP53, MTOR
[24] array · 5 items
[0]
hsa04920
[1]
Adipocytokine signaling pathway
[2]
3
[3]
3.23E-02
[4]
PRKAG1, NFKBIA, MTOR
[25] array · 5 items
[0]
hsa05140
[1]
Leishmaniasis
[2]
3
[3]
3.31E-02
[4]
FOS, MAPK3, NFKBIA
[26] array · 5 items
[0]
hsa05220
[1]
Chronic myeloid leukemia
[2]
3
[3]
3.40E-02
[4]
MAPK3, TP53, NFKBIA
[27] array · 5 items
[0]
hsa05132
[1]
Salmonella infection
[2]
3
[3]
4.40E-02
[4]
FOS, MAPK3, PYCARD
[28] array · 5 items
[0]
hsa04024
[1]
cAMP signaling pathway
[2]
4
[3]
4.49E-02
[4]
FOS, MAPK3, NFKBIA, NFATC1
[29] array · 5 items
[0]
hsa04512
[1]
ECM-receptor interaction
[2]
3
[3]
4.79E-02
[4]
COL3A1, COL6A3, ITGB4
[30] array · 5 items
[0]
hsa04510
[1]
Focal adhesion
[2]
4
[3]
4.95E-02
[4]
MAPK3, COL3A1, COL6A3, ITGB4
[31] array · 6 items
[0]
c
[1]
hsa03022
[2]
Basal transcription factors
[3]
3
[4]
1.24E-04
[5]
CCNH, ERCC3, GTF2B
[32] array · 5 items
[0]
hsa03420
[1]
Nucleotide excision repair
[2]
2
[3]
2.03E-02
[4]
CCNH, ERCC3
[33] array · 6 items
[0]
d
[1]
hsa03010
[2]
Ribosome
[3]
5
[4]
1.44E-07
[5]
MRPL24, MRPL1, MRPL13, RPL15, RPL27
[34] array · 6 items
[0]
e
[1]
hsa05169
[2]
Epstein-Barr virus infection
[3]
5
[4]
9.95E-04
[5]
POLR3K, SPI1, CD40, ENTPD1, POLR3E
[35] array · 5 items
[0]
hsa00240
[1]
Pyrimidine metabolism
[2]
4
[3]
1.93E-03
[4]
POLR3K, DPYD, ENTPD1, POLR3E
[36] array · 5 items
[0]
hsa00230
[1]
Purine metabolism
[2]
4
[3]
8.49E-03
[4]
POLR3K, AK3, ENTPD1, POLR3E
[37] array · 5 items
[0]
hsa04620
[1]
Toll-like receptor signaling pathway
[2]
3
[3]
2.73E-02
[4]
IRAK4, TLR1, CD40
[38] array · 1 item
[0]
locator
section[12]/table-wrap[1]#T1
[6] object · 16 fields
id
asset:table:pmid:31376328:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:bac230a5b550fd7423c4904195df31d92f37abc5ae9145375533d8d0df35710e
bytes
612
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[2]#T2
version
null
note
Top 10 miRNAs and genes in the miRNA-gene regulatory network
structure object · 5 fields
pmcid
PMC6722447
section_index
8
section_title
Construction of miRNA-DEG regulatory network
row_count
14
column_count
4
table object · 8 fields
label
Table 2
caption
Top 10 miRNAs and genes in the miRNA-gene regulatory network
rows array · 14 items
[0] array · 1 item
[0]
[1] array · 4 items
[0]
miRNA
[1]
Degree
[2]
Gene
[3]
Degree
[2] array · 1 item
[0]
[3] array · 4 items
[0]
hsa-miR-16-5p
[1]
89
[2]
HMGA1
[3]
11
[4] array · 4 items
[0]
hsa-let-7b-5p
[1]
84
[2]
BAZ2A
[3]
9
[5] array · 4 items
[0]
hsa-miR-15a-5p
[1]
44
[2]
CALU
[3]
9
[6] array · 4 items
[0]
hsa-miR-15b-5p
[1]
41
[2]
BTG2
[3]
8
[7] array · 4 items
[0]
hsa-let-7a-5p
[1]
40
[2]
SOD2
[3]
8
[8] array · 4 items
[0]
hsa-miR-34a-5p
[1]
37
[2]
TP53
[3]
7
[9] array · 4 items
[0]
hsa-miR-21-5p
[1]
33
[2]
UBN2
[3]
7
[10] array · 4 items
[0]
hsa-miR-222-3p
[1]
24
[2]
CBX5
[3]
6
[11] array · 4 items
[0]
hsa-miR-221-3p
[1]
23
[2]
ITGA2
[3]
6
[12] array · 4 items
[0]
hsa-miR-372-3p
[1]
23
[2]
SLC10A7
[3]
6
[13] array · 1 item
[0]
locator
section[12]/table-wrap[2]#T2
[7] object · 16 fields
id
asset:table:pmid:31376328:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:042cd37244a1dedd9077168c7b2ac7885c9232ce02a1e938f205dc5f0f0c9253
bytes
3128
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[1]#T1
version
null
note
Pathways enriched for the nodes in module a, b, c, d and e
structure object · 5 fields
pmcid
PMC6722447
section_index
12
section_title
Construction of miRNA-DEG regulatory network
row_count
39
column_count
6
table object · 8 fields
label
Table 1
caption
Pathways enriched for the nodes in module a, b, c, d and e
rows array · 39 items
[0] array · 1 item
[0]
[1] array · 6 items
[0]
Module
[1]
Pathway ID
[2]
Pathway name
[3]
Count
[4]
P value
[5]
Genes
[2] array · 1 item
[0]
[3] array · 6 items
[0]
a
[1]
hsa03040
[2]
Spliceosome
[3]
5
[4]
1.53E-05
[5]
PRPF8, SNRNP200, SNRPA, SNRPD2, SF3B2
[4] array · 5 items
[0]
hsa03020
[1]
RNA polymerase
[2]
3
[3]
7.33E-04
[4]
POLR2G, POLR2I, POLR2B
[5] array · 5 items
[0]
hsa00240
[1]
Pyrimidine metabolism
[2]
3
[3]
7.54E-03
[4]
POLR2G, POLR2I, POLR2B
[6] array · 5 items
[0]
hsa00230
[1]
Purine metabolism
[2]
3
[3]
2.06E-02
[4]
POLR2G, POLR2I, POLR2B
[7] array · 5 items
[0]
hsa05169
[1]
Epstein-Barr virus infection
[2]
3
[3]
2.38E-02
[4]
POLR2G, POLR2I, POLR2B
[8] array · 5 items
[0]
hsa05016
[1]
Huntington’s disease
[2]
3
[3]
2.43E-02
[4]
POLR2G, POLR2I, POLR2B
[9] array · 6 items
[0]
a
[1]
hsa05166
[2]
HTLV-I infection
[3]
7
[4]
4.62E-04
[5]
EGR1, FOS, ETS1, TP53, NFKBIA, TCF3, NFATC1
[10] array · 5 items
[0]
hsa04660
[1]
T cell receptor signaling pathway
[2]
5
[3]
7.24E-04
[4]
PTPRC, FOS, MAPK3, NFKBIA, NFATC1
[11] array · 5 items
[0]
hsa05161
[1]
Hepatitis B
[2]
5
[3]
2.57E-03
[4]
FOS, MAPK3, TP53, NFKBIA, NFATC1
[12] array · 5 items
[0]
hsa04662
[1]
B cell receptor signaling pathway
[2]
4
[3]
2.61E-03
[4]
FOS, MAPK3, NFKBIA, NFATC1
[13] array · 5 items
[0]
hsa04010
[1]
MAPK signaling pathway
[2]
6
[3]
3.22E-03
[4]
FOS, MAPK3, TP53, DDIT3, NFATC1, DUSP6
[14] array · 5 items
[0]
hsa05133
[1]
Pertussis
[2]
4
[3]
3.31E-03
[4]
FOS, IRF8, MAPK3, PYCARD
[15] array · 5 items
[0]
hsa05215
[1]
Prostate cancer
[2]
4
[3]
5.19E-03
[4]
MAPK3, TP53, NFKBIA, MTOR
[16] array · 5 items
[0]
hsa04668
[1]
TNF signaling pathway
[2]
4
[3]
8.70E-03
[4]
FOS, MAPK3, EDN1, NFKBIA
[17] array · 5 items
[0]
hsa04151
[1]
PI3K-Akt signaling pathway
[2]
6
[3]
1.15E-02
[4]
MAPK3, COL3A1, COL6A3, TP53, ITGB4, MTOR
[18] array · 5 items
[0]
hsa04380
[1]
Osteoclast differentiation
[2]
4
[3]
1.54E-02
[4]
FOS, MAPK3, NFKBIA, NFATC1
[19] array · 5 items
[0]
hsa04621
[1]
NOD-like receptor signaling pathway
[2]
3
[3]
2.06E-02
[4]
MAPK3, PYCARD, NFKBIA
[20] array · 5 items
[0]
hsa04921
[1]
Oxytocin signaling pathway
[2]
4
[3]
2.53E-02
[4]
FOS, PRKAG1, MAPK3, NFATC1
[21] array · 5 items
[0]
hsa05210
[1]
Colorectal cancer
[2]
3
[3]
2.58E-02
[4]
FOS, MAPK3, TP53
[22] array · 5 items
[0]
hsa05230
[1]
Central carbon metabolism in cancer
[2]
3
[3]
2.73E-02
[4]
MAPK3, TP53, MTOR
[23] array · 5 items
[0]
hsa05214
[1]
Glioma
[2]
3
[3]
2.81E-02
[4]
MAPK3, TP53, MTOR
[24] array · 5 items
[0]
hsa04920
[1]
Adipocytokine signaling pathway
[2]
3
[3]
3.23E-02
[4]
PRKAG1, NFKBIA, MTOR
[25] array · 5 items
[0]
hsa05140
[1]
Leishmaniasis
[2]
3
[3]
3.31E-02
[4]
FOS, MAPK3, NFKBIA
[26] array · 5 items
[0]
hsa05220
[1]
Chronic myeloid leukemia
[2]
3
[3]
3.40E-02
[4]
MAPK3, TP53, NFKBIA
[27] array · 5 items
[0]
hsa05132
[1]
Salmonella infection
[2]
3
[3]
4.40E-02
[4]
FOS, MAPK3, PYCARD
[28] array · 5 items
[0]
hsa04024
[1]
cAMP signaling pathway
[2]
4
[3]
4.49E-02
[4]
FOS, MAPK3, NFKBIA, NFATC1
[29] array · 5 items
[0]
hsa04512
[1]
ECM-receptor interaction
[2]
3
[3]
4.79E-02
[4]
COL3A1, COL6A3, ITGB4
[30] array · 5 items
[0]
hsa04510
[1]
Focal adhesion
[2]
4
[3]
4.95E-02
[4]
MAPK3, COL3A1, COL6A3, ITGB4
[31] array · 6 items
[0]
c
[1]
hsa03022
[2]
Basal transcription factors
[3]
3
[4]
1.24E-04
[5]
CCNH, ERCC3, GTF2B
[32] array · 5 items
[0]
hsa03420
[1]
Nucleotide excision repair
[2]
2
[3]
2.03E-02
[4]
CCNH, ERCC3
[33] array · 6 items
[0]
d
[1]
hsa03010
[2]
Ribosome
[3]
5
[4]
1.44E-07
[5]
MRPL24, MRPL1, MRPL13, RPL15, RPL27
[34] array · 6 items
[0]
e
[1]
hsa05169
[2]
Epstein-Barr virus infection
[3]
5
[4]
9.95E-04
[5]
POLR3K, SPI1, CD40, ENTPD1, POLR3E
[35] array · 5 items
[0]
hsa00240
[1]
Pyrimidine metabolism
[2]
4
[3]
1.93E-03
[4]
POLR3K, DPYD, ENTPD1, POLR3E
[36] array · 5 items
[0]
hsa00230
[1]
Purine metabolism
[2]
4
[3]
8.49E-03
[4]
POLR3K, AK3, ENTPD1, POLR3E
[37] array · 5 items
[0]
hsa04620
[1]
Toll-like receptor signaling pathway
[2]
3
[3]
2.73E-02
[4]
IRAK4, TLR1, CD40
[38] array · 1 item
[0]
locator
section[12]/table-wrap[1]#T1
[8] object · 16 fields
id
asset:table:pmid:31376328:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:bac230a5b550fd7423c4904195df31d92f37abc5ae9145375533d8d0df35710e
bytes
612
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[2]#T2
version
null
note
Top 10 miRNAs and genes in the miRNA-gene regulatory network
structure object · 5 fields
pmcid
PMC6722447
section_index
12
section_title
Construction of miRNA-DEG regulatory network
row_count
14
column_count
4
table object · 8 fields
label
Table 2
caption
Top 10 miRNAs and genes in the miRNA-gene regulatory network
rows array · 14 items
[0] array · 1 item
[0]
[1] array · 4 items
[0]
miRNA
[1]
Degree
[2]
Gene
[3]
Degree
[2] array · 1 item
[0]
[3] array · 4 items
[0]
hsa-miR-16-5p
[1]
89
[2]
HMGA1
[3]
11
[4] array · 4 items
[0]
hsa-let-7b-5p
[1]
84
[2]
BAZ2A
[3]
9
[5] array · 4 items
[0]
hsa-miR-15a-5p
[1]
44
[2]
CALU
[3]
9
[6] array · 4 items
[0]
hsa-miR-15b-5p
[1]
41
[2]
BTG2
[3]
8
[7] array · 4 items
[0]
hsa-let-7a-5p
[1]
40
[2]
SOD2
[3]
8
[8] array · 4 items
[0]
hsa-miR-34a-5p
[1]
37
[2]
TP53
[3]
7
[9] array · 4 items
[0]
hsa-miR-21-5p
[1]
33
[2]
UBN2
[3]
7
[10] array · 4 items
[0]
hsa-miR-222-3p
[1]
24
[2]
CBX5
[3]
6
[11] array · 4 items
[0]
hsa-miR-221-3p
[1]
23
[2]
ITGA2
[3]
6
[12] array · 4 items
[0]
hsa-miR-372-3p
[1]
23
[2]
SLC10A7
[3]
6
[13] array · 1 item
[0]
locator
section[12]/table-wrap[2]#T2
gaps array · 8 items
[0]
asset:data:geo:GSE21933 not downloaded
[1]
asset:data:geo:GSE21933 licence not read
[2]
asset:data:geo:GSE27262 not downloaded
[3]
asset:data:geo:GSE27262 licence not read
[4]
asset:data:geo:GSE43458 not downloaded
[5]
asset:data:geo:GSE43458 licence not read
[6]
asset:data:geo:GSE74706 not downloaded
[7]
asset:data:geo:GSE74706 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
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
[1] object · 10 fields
id
method-2
family
null
specific
null
label
Meta-analysis using the MetaDE package in R software
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
Using the MetaDE package in R software (https:// cran.r-project.org/web/packages/MetaDE/) (15), DEGs were screened from the four microarray datasets.
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
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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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: ppi_network.
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]
GSE21933
[1]
GSE27262
[2]
GSE43458
[3]
GSE74706
resolved_accessions array · 4 items
[0]
GSE21933
[1]
GSE27262
[2]
GSE43458
[3]
GSE74706
statements array · 1 item
[0]
Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.
basis
The paper names GSE21933, GSE27262, GSE43458, GSE74706 in gene expression omnibus (GEO) database 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
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build_graph
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assets array · 6 items
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source:pmid:31376328
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asset:table:pmid:31376328:1
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asset:table:pmid:31376328:2
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asset:table:pmid:31376328:3
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steps array · 1 item
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must_build object · 5 fields
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converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
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data:geo:GSE21933
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
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minimax
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minimax
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2026-10-31T18:15:44Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
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null
calls
3
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prompt_tokens
14754
completion_tokens
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pmid:31376328
type
paper
label
pmid:31376328
[1] object · 3 fields
id
source:pmid:31376328
type
manuscript
label
PMID 31376328 full text
[2] object · 3 fields
id
data:geo:GSE21933
type
dataset
label
GEO GSE21933
activities array · 3 items
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id
activity-reading-sci-2026-11-01
type
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pmid:31376328
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source:pmid:31376328
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manuscript
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PMID 31376328 full text
[2] object · 3 fields
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data:geo:GSE21933
type
dataset
label
GEO GSE21933
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31376328
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extraction
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-GSE21933
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used array · 1 item
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agents array · 2 items
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agent:minimax-reader
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capability_table_fingerprint
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lineage object · 4 fields
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pmid:31376328
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sha256:f0efea7961a4cabfd74502bc7a0f78886b11703d5379aa9d73edeffa12d7459c
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null
gaps array · 13 items
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asset:data:geo:GSE21933 licence not read
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asset:data:geo:GSE21933 not downloaded
[2]
asset:data:geo:GSE27262 licence not read
[3]
asset:data:geo:GSE27262 not downloaded
[4]
asset:data:geo:GSE43458 licence not read
[5]
asset:data:geo:GSE43458 not downloaded
[6]
asset:data:geo:GSE74706 licence not read
[7]
asset:data:geo:GSE74706 not downloaded
[8]
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[9]
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data_generation
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evidence array · 2 items
[0]
sed genes (DEGs) were screened from the four microarray datasets using MetaDE package, and then cond
[1]
he same expression trends in all of the four microarray datasets. In the PPI network, TP53 and FOS c
order_basis
paper_text_order:672
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31376328", "kind": "science-record", "revision": 6, "content_hash": "sha256:3ddbcd6a35174263e449d20a01367e0238c1d4f8ac80e56d81e837dd6462dd84", "created_at": "2026-11-01T15:40:48Z", "updated_at": "2026-11-01T22:00:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Regulatory Network Analysis to Reveal Important miRNAs and Genes in Non-Small Cell Lung Cancer.", "doi": "10.22074/cellj.2020.6281", "pmid": "31376328", "authors": ["Xingni Zhou", "Zhenghua Zhang", "Xiaohua Liang"], "journal": "Cell journal", "year": 2020, "abstract": "OBJECTIVE: Lung cancer has high incidence and mortality rate, and non-small cell lung cancer (NSCLC) takes up approximately 85% of lung cancer cases. This study is aimed to reveal miRNAs and genes involved in the mechanisms of NSCLC.\nMATERIALS AND METHODS: In this retrospective study, GSE21933 (21 NSCLC samples and 21 normal samples), GSE27262 (25 NSCLC samples and 25 normal samples), GSE43458 (40 NSCLC samples and 30 normal samples) and GSE74706 (18 NSCLC samples and 18 normal samples) were searched from gene expression omnibus (GEO) database. The differentially expressed genes (DEGs) were screened from the four microarray datasets using MetaDE package, and then conducted with functional annotation using DAVID tool. Afterwards, protein-protein interaction (PPI) network and module analyses were carried out using Cytoscape software. Based on miR2Disease and Mirwalk2 databases, microRNAs (miRNAs)-DEG pairs were selected. Finally, Cytoscape software was applied to construct miRNA-DEG regulatory network.\nRESULTS: Totally, 727 DEGs (382 up-regulated and 345 down-regulated) had the same expression trends in all of the four microarray datasets. In the PPI network, TP53 and FOS could interact with each other and they were among the top 10 nodes. Besides, five network modules were found. After construction of the miRNA-gene network, top 10 miRNAs (such as hsa-miR-16-5p, hsa-let-7b-5p, hsa-miR-15a-5p, hsa-miR-15b-5p, hsa-let-7a-5p and hsa-miR-34a- 5p) and genes (such as HMGA1, BTG2, SOD2 and TP53) were selected.\nCONCLUSION: These miRNAs and genes might contribute to the pathogenesis of NSCLC.", "claims": [{"id": "claim-method", "statement": "Using the MetaDE package in R software (https:// cran.r-project.org/web/packages/MetaDE/) (15), DEGs were screened from the four microarray datasets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31376328", "locator": "sections[5] \"Meta-analysis\" paragraph 2", "quote": "Using the MetaDE package in R software (https:// cran.r-project.org/web/packages/MetaDE/) (15), DEGs were screened from the four microarray datasets."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31376328", "locator": "sections[3] \"Expression profile data\" paragraph 2", "quote": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted."}], "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:31376328"], "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:GSE21933"], "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:GSE21933"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31376328", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.22074/cellj.2020.6281", "sha256": "sha256:2dd7a2615c97e3a29eaad80dbb42853076d3e3507f67b010b6027cf20cee4930", "bytes": 17524, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.22074/cellj.2020.6281", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6722447", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE21933", "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=GSE21933", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE21933", "version": null, "note": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM545615", "GSM545616", "GSM545617", "GSM545618", "GSM545619", "GSM545620", "GSM545621", "GSM545622", "GSM545623", "GSM545624", "GSM545625", "GSM545626", "GSM545627", "GSM545628", "GSM545629", "GSM545630", "GSM545631", "GSM545632", "GSM545633", "GSM545634", "GSM545635", "GSM545636", "GSM545637", "GSM545638", "GSM545639", "GSM545640", "GSM545641", "GSM545642", "GSM545643", "GSM545644", "GSM545645", "GSM545646", "GSM545647", "GSM545648", "GSM545649", "GSM545650", "GSM545651", "GSM545652", "GSM545653", "GSM545654", "GSM545655", "GSM545656"], "sample_count": 42, "group_sizes": null, "group_sizes_basis": null, "platform": "6254", "taxon": "Homo sapiens", "title": "Gene expression profiles of tumor and paired normal lung tissues from primary non-small cell lung cancer (NSCLC) patients in Taiwan.", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE27262", "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=GSE27262", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE27262", "version": null, "note": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM673870", "GSM673871", "GSM673872", "GSM673873", "GSM673874", "GSM673875", "GSM673876", "GSM673877", "GSM673878", "GSM673879", "GSM673880", "GSM673881", "GSM673882", "GSM673883", "GSM673884", "GSM673885", "GSM673886", "GSM673887", "GSM673888", "GSM673889", "GSM673890", "GSM673891", "GSM673892", "GSM673893", "GSM673894", "GSM673895", "GSM673896", "GSM673897", "GSM673898", "GSM673899", "GSM673900", "GSM673901", "GSM673902", "GSM673903", "GSM673904", "GSM673905", "GSM673906", "GSM673907", "GSM673908", "GSM673909", "GSM673910", "GSM673911", "GSM673912", "GSM673913", "GSM673914", "GSM673915", "GSM673916", "GSM673917", "GSM673918", "GSM673919"], "sample_count": 50, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression profiling of Non-small cell lung cancer in Taiwan", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE43458", "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=GSE43458", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE43458", "version": null, "note": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Finally, the raw data and platform annotation files under GSE21933 (21 NSCLC and 21 normal samples; platform: GPL6254 Phalanx Human OneArray), GSE27262 (25 NSCLC and 25 normal samples; platform: GPL570 [HG-U133_ Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array), GSE43458 (40 NSCLC and 30 normal samples; platform: GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array) and GSE74706 (18 NSCLC and 18 normal samples; platform: GPL13497 Agilent-026652 Whole Human Genome Microarray 4x44K v2) were extracted.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1062765", "GSM1062766", "GSM1062767", "GSM1062768", "GSM1062769", "GSM1062770", "GSM1062771", "GSM1062772", "GSM1062773", "GSM1062774", "GSM1062775", "GSM1062776", "GSM1062777", "GSM1062778", "GSM1062779", "GSM1062780", "GSM1062781", "GSM1062782", "GSM1062783", "GSM1062784", "GSM1062785", "GSM1062786", "GSM1062787", "GSM1062788", "GSM1062789", "GSM1062790", "GSM1062791", "GSM1062792", "GSM1062793", "GSM1062794", "GSM1062795", "GSM1062796", "GSM1062797", "GSM1062798", "GSM1062799", "GSM1062800", "GSM1062801", "GSM1062802", "GSM1062803", "GSM1062804", "GSM1062805", "GSM1062806", "GSM1062807", "GSM1062808", "GSM1062809", "GSM1062810", "GSM1062811", "GSM1062812", "GSM1062813", "GSM1062814", "GSM1062815", 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