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pmid:33569435

Identification of novel transcription factor-microRNA-mRNA co-regulatory networks in pulmonary large-cell neuroendocrine carcinoma.

Cunliang Cai · Qianli Zeng · Guiliang Zhou · Xiangdong Mu

Annals of translational medicine · 2021 doi:10.21037/atm-20-7759

Paper

complete

Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33569435
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science-record
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2026-11-01T15:41:25Z
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paper object · 10 fields
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title
Identification of novel transcription factor-microRNA-mRNA co-regulatory networks in pulmonary large-cell neuroendocrine carcinoma.
doi
10.21037/atm-20-7759
pmid
33569435
authors array · 4 items
[0]
Cunliang Cai
[1]
Qianli Zeng
[2]
Guiliang Zhou
[3]
Xiangdong Mu
journal
Annals of translational medicine
year
2021
abstract
BACKGROUND: Large cell neuroendocrine carcinoma (LCNEC) of the lung is a rare neuroendocrine neoplasm. Previous studies have shown that microRNAs (miRNAs) are widely involved in tumor regulation through targeting critical genes. However, it is unclear which miRNAs play vital roles in the pathogenesis of LCNEC, and how they interact with transcription factors (TFs) to regulate cancer-related genes. METHODS: To determine the novel TF-miRNA-target gene feed-forward loop (FFL) model of LCNEC, we integrated multi-omics data from Gene Expression Omnibus (GEO), Transcriptional Regulatory Relationships Unraveled by Sentence-Based Text Mining (TRRUST), Transcriptional Regulatory Element Database (TRED), and The experimentally validated microRNA-target interactions database (miRTarBase database). First, expression profile datasets for mRNAs (GSE1037) and miRNAs (GSE19945) were downloaded from the GEO database. Overlapping differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified through integrative analysis. The target genes of the FFL were obtained from the miRTarBase database, and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were performed on the target genes. Then, we screened for key miRNAs in the FFL and performed gene regulatory network analysis based on key miRNAs. Finally, the TF-miRNA-target gene FFLs were constructed by the hypergeometric test. RESULTS: A total of 343 DEGs and 60 DEMs were identified in LCNEC tissues compared to normal tissues, including 210 down-regulated and 133 up-regulated genes, and 29 down-regulated and 31 up-regulated miRNAs. Finally, the regulatory network of TF-miRNA-target gene was established. The key regulatory network modules included ETS1-miR195-CD36, TAOK1-miR7-1-3P-GRIA1, E2F3-miR195-CD36, and TEAD1-miR30A-CTHRC1. CONCLUSIONS: We constructed the TF-miRNA-target gene regulatory network, which is helpful for understanding the complex LCNEC regulatory mechanisms.
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Finally, the TF-miRNA-target gene FFLs were constructed by the hypergeometric test.
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Finally, the TF-miRNA-target gene FFLs were constructed by the hypergeometric test.
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The mRNA expression profile (GSE1037) and the miRNA expression profile (GSE19945) datasets were downloaded from the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/gds/). The mRNA expression profiles were obtained from the GSE1037 dataset, and miRNA profiles were obtained from the GSE19945 dataset. There were 19 normal and 8 LCNEC tissues included in the GSE1037 dataset, while 20 Barrett’s esophagus, 8 normal, and 11 LCNEC tissues were included in the GSE19945 dataset.
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The mRNA expression profile (GSE1037) and the miRNA expression profile (GSE19945) datasets were downloaded from the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/gds/).
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The mRNA expression profiles were obtained from the GSE1037 dataset, and miRNA profiles were obtained from the GSE19945 dataset.
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There were 19 normal and 8 LCNEC tissues included in the GSE1037 dataset, while 20 Barrett’s esophagus, 8 normal, and 11 LCNEC tissues were included in the GSE19945 dataset.
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Prediction of differentially expressed miRNA transcription factors
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Screening LCNEC-related TFs and miRNAs
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Table 1
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Prediction of differentially expressed miRNA transcription factors
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[2]
1.2731E-13
[59] array · 3 items
[0]
HOXA3
[1]
1.566245194
[2]
6.39409E-15
[60] array · 3 items
[0]
PRRX1
[1]
1.56201562
[2]
1.26796E-09
[61] array · 3 items
[0]
HOXA13
[1]
1.559588244
[2]
2.22792E-07
[62] array · 3 items
[0]
PAX7
[1]
1.555356559
[2]
1.76924E-11
[63] array · 3 items
[0]
POU3F2
[1]
1.553491613
[2]
3.52034E-20
[64] array · 3 items
[0]
HOXB9
[1]
1.5476928
[2]
5.34779E-13
[65] array · 3 items
[0]
NKX3-1
[1]
1.545950166
[2]
1
[66] array · 3 items
[0]
NOBOX
[1]
1.54077687
[2]
7.63787E-15
[67] array · 3 items
[0]
ISL2
[1]
1.539221985
[2]
4.96908E-12
[68] array · 3 items
[0]
HOXB7
[1]
1.539042169
[2]
8.4588E-09
[69] array · 3 items
[0]
GFI1
[1]
1.537266387
[2]
6.97499E-13
[70] array · 3 items
[0]
NKX2-1
[1]
1.527462565
[2]
2.31111E-16
[71] array · 3 items
[0]
POU6F1
[1]
1.52477309
[2]
8.28794E-15
[72] array · 3 items
[0]
CDX2
[1]
1.518330825
[2]
5.83258E-05
[73] array · 3 items
[0]
PAX6
[1]
1.517197962
[2]
4.84278E-12
[74] array · 3 items
[0]
ZFP161
[1]
1.507988341
[2]
2.02524E-25
[75] array · 3 items
[0]
FEV
[1]
1.507033544
[2]
7.4113E-11
[76] array · 3 items
[0]
ATF6
[1]
1.504340104
[2]
0.00220223
[77] array · 3 items
[0]
EGR1
[1]
1.503241757
[2]
4.57094E-85
[78] array · 3 items
[0]
HOXA5
[1]
1.502031223
[2]
1.46359E-19
[79] array · 3 items
[0]
POU4F3
[1]
1.489331293
[2]
1.5136E-13
[80] array · 3 items
[0]
TBX5
[1]
1.489325563
[2]
0.002477807
[81] array · 3 items
[0]
RORA
[1]
1.485903128
[2]
5.54899E-24
[82] array · 3 items
[0]
EN1
[1]
1.483760545
[2]
1.30534E-08
[83] array · 3 items
[0]
HOXD8
[1]
1.481210524
[2]
1.0198E-15
[84] array · 3 items
[0]
ELF3
[1]
1.478344872
[2]
7.98561E-08
[85] array · 3 items
[0]
LMO2
[1]
1.47696946
[2]
2.79805E-11
[86] array · 3 items
[0]
POU2F1
[1]
1.474893113
[2]
1.33454E-47
[87] array · 3 items
[0]
ATF4
[1]
1.474456227
[2]
2.81165E-05
[88] array · 3 items
[0]
VAX2
[1]
1.472471901
[2]
1.45559E-07
[89] array · 3 items
[0]
RBPJ
[1]
1.47117606
[2]
0.001214947
[90] array · 3 items
[0]
LHX4
[1]
1.469890725
[2]
1.16956E-06
[91] array · 3 items
[0]
PHOX2A
[1]
1.469522124
[2]
1.27912E-07
[92] array · 3 items
[0]
CACD
[1]
1.467486855
[2]
6.03042E-09
[93] array · 3 items
[0]
HOXA9
[1]
1.461007763
[2]
8.18167E-13
[94] array · 3 items
[0]
PBX1
[1]
1.460910348
[2]
4.84252E-13
[95] array · 3 items
[0]
HOXA7
[1]
1.457791777
[2]
8.3229E-09
[96] array · 3 items
[0]
ELF1
[1]
1.456519375
[2]
7.71995E-10
[97] array · 3 items
[0]
PRRX2
[1]
1.45648868
[2]
4.61243E-10
[98] array · 3 items
[0]
NKX6-1
[1]
1.455833442
[2]
4.69109E-26
[99] array · 3 items
[0]
VSX2
[1]
1.45551558
[2]
5.56645E-10
[100] array · 3 items
[0]
GATA1
[1]
1.453421391
[2]
2.27659E-12
[101] array · 3 items
[0]
PAX5
[1]
1.453176104
[2]
0.093698746
[102] array · 3 items
[0]
YY1
[1]
1.445064824
[2]
4.8313E-23
[103] array · 3 items
[0]
HOXC9
[1]
1.444363151
[2]
4.33266E-09
[104] array · 3 items
[0]
OTX2
[1]
1.444277761
[2]
0.000103525
[105] array · 3 items
[0]
MYC
[1]
1.440541634
[2]
3.43948E-18
[106] array · 3 items
[0]
BARHL1
[1]
1.433879586
[2]
1.45299E-07
[107] array · 3 items
[0]
IRF1
[1]
1.433847611
[2]
9.58287E-13
[108] array · 3 items
[0]
NR5A2
[1]
1.429886696
[2]
4.89954E-07
[109] array · 3 items
[0]
ZEB1
[1]
1.428193515
[2]
1.38122E-05
[110] array · 3 items
[0]
LHX8
[1]
1.425071674
[2]
0.012186295
[111] array · 3 items
[0]
ARNT
[1]
1.421105882
[2]
2.04387E-05
[112] array · 3 items
[0]
NANOG
[1]
1.420858694
[2]
0.028373957
[113] array · 3 items
[0]
HNF1A
[1]
1.420349524
[2]
2.80572E-12
[114] array · 3 items
[0]
BSX
[1]
1.420323497
[2]
0.002842563
[115] array · 3 items
[0]
ARID3A
[1]
1.416364291
[2]
5.08411E-19
[116] array · 3 items
[0]
MEF2A
[1]
1.415833776
[2]
1.97674E-29
[117] array · 3 items
[0]
DMBX1
[1]
1.413929403
[2]
0.000111663
[118] array · 3 items
[0]
HOXB4
[1]
1.410439336
[2]
6.30315E-10
[119] array · 3 items
[0]
GBX1
[1]
1.403916576
[2]
0.058544479
[120] array · 3 items
[0]
LHX3
[1]
1.402581728
[2]
3.87643E-17
[121] array · 3 items
[0]
GLI1
[1]
1.392215572
[2]
0.436379987
[122] array · 3 items
[0]
PPARA
[1]
1.387411682
[2]
0.000477873
[123] array · 3 items
[0]
MAF
[1]
1.386346844
[2]
2.5921E-05
[124] array · 3 items
[0]
BACH1
[1]
1.384969613
[2]
9.9332E-08
[125] array · 3 items
[0]
E2F1
[1]
1.384464941
[2]
2.67889E-15
[126] array · 3 items
[0]
ISX
[1]
1.383694859
[2]
0.014444734
[127] array · 3 items
[0]
PATZ1
[1]
1.378969796
[2]
1
[128] array · 3 items
[0]
DLX3
[1]
1.378242416
[2]
0.000220923
[129] array · 3 items
[0]
REST
[1]
1.369432246
[2]
1.45236E-08
[130] array · 3 items
[0]
TEAD1
[1]
1.3653986
[2]
0.000371993
[131] array · 3 items
[0]
DLX5
[1]
1.365143978
[2]
0.104685108
[132] array · 3 items
[0]
GBX2
[1]
1.364487049
[2]
0.010939488
[133] array · 3 items
[0]
PKNOX1
[1]
1.360259282
[2]
1
[134] array · 3 items
[0]
ATF3
[1]
1.357534479
[2]
2.05095E-08
[135] array · 3 items
[0]
SOAT1
[1]
1.35693281
[2]
4.4013E-14
[136] array · 3 items
[0]
STAT1
[1]
1.35693281
[2]
4.4013E-14
[137] array · 3 items
[0]
CRX
[1]
1.350827824
[2]
0.005822658
[138] array · 3 items
[0]
STRA13
[1]
1.344511116
[2]
2.81549E-05
[139] array · 3 items
[0]
TGIF1
[1]
1.34075257
[2]
3.29968E-10
[140] array · 3 items
[0]
MNX1
[1]
1.336229431
[2]
0.028835597
[141] array · 3 items
[0]
NFIC
[1]
1.33517996
[2]
1.05979E-21
[142] array · 3 items
[0]
TFAP4
[1]
1.334062906
[2]
1.61866E-12
[143] array · 3 items
[0]
NR6A1
[1]
1.330522999
[2]
8.38759E-07
[144] array · 3 items
[0]
EBF1
[1]
1.328761889
[2]
0.450936001
[145] array · 3 items
[0]
ZIC1
[1]
1.32546316
[2]
0.000217415
[146] array · 3 items
[0]
TAL1
[1]
1.317748393
[2]
1.31107E-09
[147] array · 3 items
[0]
NR1H3
[1]
1.314649666
[2]
1.65042E-08
[148] array · 3 items
[0]
RARA
[1]
1.312769453
[2]
2.21774E-06
[149] array · 3 items
[0]
RAB40B
[1]
1.312769453
[2]
2.21774E-06
[150] array · 3 items
[0]
HSF1
[1]
1.304104594
[2]
5.30092E-06
[151] array · 3 items
[0]
ZNF513
[1]
1.302418492
[2]
7.21304E-06
[152] array · 3 items
[0]
ZNF238
[1]
1.302418492
[2]
7.21304E-06
[153] array · 3 items
[0]
SP4
[1]
1.301159934
[2]
1.67766E-46
[154] array · 3 items
[0]
RREB1
[1]
1.29969438
[2]
2.58625E-18
[155] array · 3 items
[0]
GSC
[1]
1.29918553
[2]
0.033978078
[156] array · 3 items
[0]
MYF5
[1]
1.296334694
[2]
3.95374E-15
[157] array · 3 items
[0]
ITGAL
[1]
1.294903079
[2]
1
[158] array · 3 items
[0]
PITX3
[1]
1.29145732
[2]
0.391288741
[159] array · 3 items
[0]
PITX1
[1]
1.288929519
[2]
1.06292E-05
[160] array · 3 items
[0]
OTX1
[1]
1.288929519
[2]
1.06292E-05
[161] array · 3 items
[0]
E4F1
[1]
1.282006489
[2]
1
[162] array · 3 items
[0]
RXRA
[1]
1.280099335
[2]
2.29666E-07
[163] array · 3 items
[0]
PLAU
[1]
1.279628818
[2]
9.51173E-07
[164] array · 3 items
[0]
ATF1
[1]
1.279628818
[2]
9.51173E-07
[165] array · 3 items
[0]
ESR2
[1]
1.279437448
[2]
0.019430036
[166] array · 3 items
[0]
HENMT1
[1]
1.278988084
[2]
1.52023E-07
[167] array · 3 items
[0]
NHLH1
[1]
1.278988084
[2]
1.52023E-07
[168] array · 3 items
[0]
JUND
[1]
1.270186088
[2]
1.04084E-11
[169] array · 3 items
[0]
FOSB
[1]
1.270186088
[2]
1.04084E-11
[170] array · 3 items
[0]
JUN
[1]
1.270186088
[2]
1.04084E-11
[171] array · 3 items
[0]
JUNB
[1]
1.270186088
[2]
1.04084E-11
[172] array · 3 items
[0]
FOS
[1]
1.270186088
[2]
1.04084E-11
[173] array · 3 items
[0]
INSM1
[1]
1.269205234
[2]
0.02298905
[174] array · 3 items
[0]
TCF3
[1]
1.267893386
[2]
1.26934E-14
[175] array · 3 items
[0]
CREB1
[1]
1.263309112
[2]
1.75819E-05
[176] array · 3 items
[0]
BACH2
[1]
1.262264477
[2]
0.003953937
[177] array · 3 items
[0]
ESR1
[1]
1.259352983
[2]
0.001749268
[178] array · 3 items
[0]
SP1
[1]
1.258388049
[2]
3.95813E-78
[179] array · 3 items
[0]
SPDEF
[1]
1.256492567
[2]
1
[180] array · 3 items
[0]
NFE2
[1]
1.247179577
[2]
0.04731324
[181] array · 3 items
[0]
NKX1-1
[1]
1.243873409
[2]
1
[182] array · 3 items
[0]
SPI1
[1]
1.239809788
[2]
0.001547534
[183] array · 3 items
[0]
JDP2
[1]
1.226571021
[2]
0.008015468
[184] array · 3 items
[0]
ASCL2
[1]
1.220694467
[2]
2.59487E-06
[185] array · 3 items
[0]
NR4A2
[1]
1.21986946
[2]
0.000580645
[186] array · 3 items
[0]
ETS1
[1]
1.211570016
[2]
6.77746E-11
[187] array · 3 items
[0]
ELF2
[1]
1.204315248
[2]
0.031897422
[188] array · 3 items
[0]
HNF4A
[1]
1.201063913
[2]
1.62726E-12
[189] array · 3 items
[0]
SF1
[1]
1.197006006
[2]
0.002170773
[190] array · 3 items
[0]
NR5A1
[1]
1.197006006
[2]
0.002170773
[191] array · 3 items
[0]
RFX1
[1]
1.184501165
[2]
9.03928E-07
[192] array · 3 items
[0]
ESRRA
[1]
1.184328588
[2]
0.039223828
[193] array · 3 items
[0]
NFYA
[1]
1.180474522
[2]
5.42162E-08
[194] array · 3 items
[0]
HERPUD1
[1]
1.177872946
[2]
1
[195] array · 3 items
[0]
KLF7
[1]
1.172896473
[2]
9.67333E-16
[196] array · 3 items
[0]
PAX2
[1]
1.171728003
[2]
1
[197] array · 3 items
[0]
ZNF143
[1]
1.169681858
[2]
0.848634349
[198] array · 3 items
[0]
ETV7
[1]
1.161796794
[2]
0.081168026
[199] array · 3 items
[0]
TCF12
[1]
1.150246325
[2]
0.142491516
[200] array · 3 items
[0]
ELK1
[1]
1.141147777
[2]
0.002781382
[201] array · 3 items
[0]
PPARG
[1]
1.125898621
[2]
0.016313406
[202] array · 3 items
[0]
CTCF
[1]
1.107255488
[2]
0.018105591
[203] array · 3 items
[0]
NRF1
[1]
1.095434525
[2]
0.410519482
[204] array · 3 items
[0]
GABPA
[1]
1.076552451
[2]
0.641965769
[205] array · 3 items
[0]
EHF
[1]
1.057365368
[2]
1
[206] array · 3 items
[0]
POU1F1
[1]
−100
[2]
1
[207] array · 3 items
[0]
ZNF219
[1]
−100
[2]
1
[208] array · 3 items
[0]
PITX2
[1]
−100
[2]
1
[209] array · 3 items
[0]
FOXF2
[1]
−100
[2]
1
[210] array · 3 items
[0]
CEBPB
[1]
−100
[2]
1
row_count
211
locator
section[10]/table-wrap[1]#t1
gaps array · 4 items
[0]
asset:data:geo:GSE1037 not downloaded
[1]
asset:data:geo:GSE1037 licence not read
[2]
asset:data:geo:GSE19945 not downloaded
[3]
asset:data:geo:GSE19945 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
student_t_test
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
expressible
false
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
Student's t-test
[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
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
0.8
band
high
quote
limma
[3] object · 10 fields
id
method-4
family
null
specific
null
label
hypergeometric test
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
Finally, the TF-miRNA-target gene FFLs were constructed by the hypergeometric test.
targets array · 0 items
gaps array · 2 items
[0]
method.reader_named_unmapped
[1]
method.student_t
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
false
required_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_test.
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 · 2 items
[0]
GSE1037
[1]
GSE19945
resolved_accessions array · 2 items
[0]
GSE1037
[1]
GSE19945
statements array · 1 item
[0]
The mRNA expression profile (GSE1037) and the miRNA expression profile (GSE19945) datasets were downloaded from the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/gds/). The mRNA expression profiles were obtained from the GSE1037 dataset, and miRNA profiles were obtained from the GSE19945 dataset. There were 19 normal and 8 LCNEC tissues included in the GSE1037 dataset, while 20 Barrett’s esophagus, 8 normal, and 11 LCNEC tissues were included in the GSE19945 dataset.
basis
The paper names GSE1037, GSE19945 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33569435", "kind": "science-record", "revision": 8, "content_hash": "sha256:aa2de0c7a83e78cf34396de8e60c4d9a24493d4ad978e08f7b43662279a07c81", "created_at": "2026-11-01T15:41:25Z", "updated_at": "2026-11-01T22:03:06Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of novel transcription factor-microRNA-mRNA co-regulatory networks in pulmonary large-cell neuroendocrine carcinoma.", "doi": "10.21037/atm-20-7759", "pmid": "33569435", "authors": ["Cunliang Cai", "Qianli Zeng", "Guiliang Zhou", "Xiangdong Mu"], "journal": "Annals of translational medicine", "year": 2021, "abstract": "BACKGROUND: Large cell neuroendocrine carcinoma (LCNEC) of the lung is a rare neuroendocrine neoplasm. Previous studies have shown that microRNAs (miRNAs) are widely involved in tumor regulation through targeting critical genes. However, it is unclear which miRNAs play vital roles in the pathogenesis of LCNEC, and how they interact with transcription factors (TFs) to regulate cancer-related genes.\nMETHODS: To determine the novel TF-miRNA-target gene feed-forward loop (FFL) model of LCNEC, we integrated multi-omics data from Gene Expression Omnibus (GEO), Transcriptional Regulatory Relationships Unraveled by Sentence-Based Text Mining (TRRUST), Transcriptional Regulatory Element Database (TRED), and The experimentally validated microRNA-target interactions database (miRTarBase database). First, expression profile datasets for mRNAs (GSE1037) and miRNAs (GSE19945) were downloaded from the GEO database. Overlapping differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified through integrative analysis. The target genes of the FFL were obtained from the miRTarBase database, and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were performed on the target genes. Then, we screened for key miRNAs in the FFL and performed gene regulatory network analysis based on key miRNAs. Finally, the TF-miRNA-target gene FFLs were constructed by the hypergeometric test.\nRESULTS: A total of 343 DEGs and 60 DEMs were identified in LCNEC tissues compared to normal tissues, including 210 down-regulated and 133 up-regulated genes, and 29 down-regulated and 31 up-regulated miRNAs. Finally, the regulatory network of TF-miRNA-target gene was established. The key regulatory network modules included ETS1-miR195-CD36, TAOK1-miR7-1-3P-GRIA1, E2F3-miR195-CD36, and TEAD1-miR30A-CTHRC1.\nCONCLUSIONS: We constructed the TF-miRNA-target gene regulatory network, which is helpful for understanding the complex LCNEC regulatory mechanisms.", "claims": [{"id": "claim-method", "statement": "Finally, the TF-miRNA-target gene FFLs were constructed by the hypergeometric test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33569435", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Finally, the TF-miRNA-target gene FFLs were constructed by the hypergeometric test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The mRNA expression profile (GSE1037) and the miRNA expression profile (GSE19945) datasets were downloaded from the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/gds/). The mRNA expression profiles were obtained from the GSE1037 dataset, and miRNA profiles were obtained from the GSE19945 dataset. 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