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pmid:34307447

High Expression Levels of CDK1 and CDC20 in Patients With Lung Squamous Cell Carcinoma are Associated With Worse Prognosis.

Huan Deng · Qingqing Hang · Dijian Shen · Hangjie Ying · Yibi Zhang · Xu Qian · Ming Chen

Frontiers in molecular biosciences · 2021 doi:10.3389/fmolb.2021.653805

Paper

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Experiment

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Data

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Execution

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title
High Expression Levels of CDK1 and CDC20 in Patients With Lung Squamous Cell Carcinoma are Associated With Worse Prognosis.
doi
10.3389/fmolb.2021.653805
pmid
34307447
authors array · 7 items
[0]
Huan Deng
[1]
Qingqing Hang
[2]
Dijian Shen
[3]
Hangjie Ying
[4]
Yibi Zhang
[5]
Xu Qian
[6]
Ming Chen
journal
Frontiers in molecular biosciences
year
2021
abstract
Purpose: Progress related to the early detection and molecular targeted therapy of lung squamous cell carcinoma (LUSC) remains limited. The goal of our study was to identify key candidate indicators of LUSC. Methods: Three microarray datasets (GSE33532, GSE30219 and GSE19188) were applied to find differentially expressed genes (DEGs). Functional enrichment analyses of DEGs were carried out, and their protein-protein interaction (PPI) network was established. Hub genes were chosen from the PPI network according to their degree scores. Then, overall survival (OS) analyses of hub genes were carried out using Kaplan-Meier plotter, and their GSEA analyses were performed. Public databases were used to verify the expression patterns of CDK1 and CDC20. Furthermore, basic experiments were performed to verify our findings. Results: A total of 1,366 DEGs were identified, containing 669 downregulated and 697 upregulated DEGs. These DEGs were primarily enriched in cell cycle, chromosome centromeric region and nuclear division. Seventeen hub genes were selected from PPI network. Survival analyses demonstrated that CDK1 and CDC20 were closely associated with OS. GSEA analyses revealed that cell cycle, DNA replication, and mismatch repair were associated with CDK1 expression, while spliceosome, RNA degradation and cell cycle were correlated with CDC20 expression. Based on The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (THPA) databases, CDK1 and CDC20 were upregulated in LUSC at the mRNA and protein levels. Moreover, basic experiments also supported the obvious upregulation of CDK1 and CDC20 in LUSC. Conclusion: Our study suggests and validates that CDK1 and CDC20 are potential therapeutic targets and prognostic biomarkers of LUSC.
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DEGs were selected between LUSC and normal lung tissues using the limma package of R software (Ritchie et al., 2015). To minimize the false discovery rate (FDR), the p-values were adjusted using the Benjamini–Hochberg method.
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DEGs were selected between LUSC and normal lung tissues using the limma package of R software (Ritchie et al., 2015). To minimize the false discovery rate (FDR), the p-values were adjusted using the Benjamini–Hochberg method.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
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group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[3] object · 15 fields
id
data:geo:GSE33532
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raw
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geo-series
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application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE33532
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note
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
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GSM835268
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[99]
GSM835367
sample_count
100
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Intratumor heterogeneity of gene expression profiles in early stage non-small cell lung cancer (NSCLC)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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[4] object · 16 fields
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asset:table:pmid:34307447:1
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Characteristics of the included datasets from GEO.
structure object · 5 fields
pmcid
PMC8292837
section_index
3
section_title
The Obtainment of Microarray Datasets
row_count
4
column_count
7
table object · 8 fields
label
TABLE 1
caption
Characteristics of the included datasets from GEO.
rows array · 4 items
[0] array · 7 items
[0]
GEO datasets
[1]
Publication year
[2]
Country
[3]
RNA-Seq platforms
[4]
LUSC
[5]
Normal
[6]
Sum
[1] array · 7 items
[0]
GSE33532 (Meister et al., 2014)
[1]
2014
[2]
Germany
[3]
GPL570
[4]
16
[5]
20
[6]
36
[2] array · 7 items
[0]
GSE30219 (Rousseaux et al., 2013)
[1]
2013
[2]
France
[3]
GPL570
[4]
61
[5]
14
[6]
75
[3] array · 7 items
[0]
GSE19188 (Hou et al., 2010)
[1]
2010
[2]
Netherlands
[3]
GPL570
[4]
27
[5]
65
[6]
92
locator
section[3]/table-wrap[1]#T1
[5] object · 16 fields
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asset:table:pmid:34307447:2
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table
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jats-table
media_type
application/vnd.jats.table+json
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null
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sha256:3c0146defde18867e30df1bda6685c630e09f200137c9e64da841743e67543db
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read_table
reader_status
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section[13]/table-wrap[1]#T3
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null
note
Functional roles of all hub genes with degrees>60.
structure object · 5 fields
pmcid
PMC8292837
section_index
6
section_title
Construction of the PPI Network and Selection of Hub Genes
row_count
18
column_count
5
table object · 8 fields
label
TABLE 3
caption
Functional roles of all hub genes with degrees>60.
rows array · 18 items
[0] array · 5 items
[0]
No
[1]
Gene Symbol
[2]
Degree
[3]
Full name
[4]
Function
[1] array · 5 items
[0]
1
[1]
CDK1
[2]
123
[3]
Cyclin-dependent kinase 1
[4]
CDK1 regulates the cell cycle progression, apoptosis and carcinogenesis of several cancers
[2] array · 5 items
[0]
2
[1]
CDC20
[2]
106
[3]
Cell division cycle 20
[4]
CDC20 participates in the pathogenesis of NSCLC, and its higher expression correlates with higher tumor grade
[3] array · 5 items
[0]
3
[1]
CCNB1
[2]
95
[3]
Cyclin B1
[4]
CCNB1 plays an important role in promoting the transition from G2/M phase, and its high expression predicts worse prognosis in LUSC.
[4] array · 5 items
[0]
4
[1]
CCNB2
[2]
91
[3]
Cyclin B2
[4]
CCNB2 participates in promoting G2/M transition, and its overexpression correlates with the development of LUSC.
[5] array · 5 items
[0]
5
[1]
CCNA2
[2]
83
[3]
Cyclin A2
[4]
CCNA2 promotes the transition from G1 to S phase and G2 to M phase, and it is overexpressed in LUSC.
[6] array · 5 items
[0]
6
[1]
BUB1
[2]
83
[3]
BUB1 mitotic checkpoint serine/threonine kinase
[4]
BUB1 participates in binding kinetochores, and its mutation is correlated with the occurrence of LUSC.
[7] array · 5 items
[0]
7
[1]
AURKB
[2]
82
[3]
Aurora Kinase B
[4]
AURKB closely correlates with the acquired resistance of anti-EGFR treatment in NSCLC.
[8] array · 5 items
[0]
8
[1]
PLK1
[2]
80
[3]
Polo Like Kinase 1
[4]
Abnormal expression of PLK1 is associated with higher stages and aggressive progression of LUSC.
[9] array · 5 items
[0]
9
[1]
MAD2L1
[2]
75
[3]
Mitotic Arrest Deficient 2 Like 1
[4]
MAD2L1 participates in chromosomal instability and substantial aneuploidy, which is correlated with the carcinogenesis of NSCLC.
[10] array · 5 items
[0]
10
[1]
CDCA8
[2]
74
[3]
Cell Division Cycle Associated 8
[4]
Phosphorylation and activation of CDCA8 by AURKB serve an important role in the tumorigenesis of LC.
[11] array · 5 items
[0]
11
[1]
KIF11
[2]
69
[3]
Kinesin Family Member 11
[4]
The overexpression of KIF11 promotes the invasion and adverse prognosis of NSCLC.
[12] array · 5 items
[0]
12
[1]
KIF2C
[2]
69
[3]
Kinesin Family Member 2C
[4]
Elevated expression of KIF2C is associated with poorer differentiation status and lymph node metastasis in NSCLC.
[13] array · 5 items
[0]
13
[1]
NDC80
[2]
69
[3]
NDC80 Kinetochore Complex Component
[4]
NDC80 is highly expressed in LUAD, and high expression of NDC80 is associated with shorter OS.
[14] array · 5 items
[0]
14
[1]
BIRC5
[2]
66
[3]
Baculoviral IAP Repeat Containing 5
[4]
BIRC5 is highly expressed in LUSC, and the upregulation of BIRC5 indicates worse survival in LUSC.
[15] array · 5 items
[0]
15
[1]
CENPE
[2]
65
[3]
Centromere Protein E
[4]
CENPE is overexpressed in the G2/M phase, and CENPE participates in the cell proliferation in LUAD.
[16] array · 5 items
[0]
16
[1]
TOP2A
[2]
64
[3]
Topoisomerase (DNA) II α
[4]
TOP2A regulates the progress of LUSC, and high expression of TOP2A predicts poor prognosis in LUSC.
[17] array · 5 items
[0]
17
[1]
CENPF
[2]
63
[3]
Centromere Protein F
[4]
High expression of CENPF is associated with larger tumor size and poorer survival in NSCLC.
locator
section[13]/table-wrap[1]#T3
[6] object · 16 fields
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asset:table:pmid:34307447:3
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table
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jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:ddceb9a504f115e78ed75b7460aa9b23d28054cc741e00f04383dd9802a3af2e
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read_table
reader_status
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The primers of GAPDH, CDK1 and CDC20.
structure object · 5 fields
pmcid
PMC8292837
section_index
9
section_title
The External Validation of Basic Experiments
row_count
4
column_count
3
table object · 8 fields
label
TABLE 2
caption
The primers of GAPDH, CDK1 and CDC20.
rows array · 4 items
[0] array · 3 items
[0]
Gene symbol
[1]
Forward (F)
[2]
Reverse (R)
[1] array · 3 items
[0]
GAPDH
[1]
5′-ACA​ACT​TTG​GTA​TCG​TGG​AAG​G-3′
[2]
5′-GCC​ATC​ACG​CCA​CAG​TTT​C-3′
[2] array · 3 items
[0]
CDK1
[1]
5′-GGA​TGT​GCT​TAT​GCA​GGA​TTC​C-3′
[2]
5′-CAT​GTA​CTG​ACC​AGG​AGG​GAT​AG-3′
[3] array · 3 items
[0]
CDC20
[1]
5′-GAC​CAC​TCC​TAG​CAA​ACC​TGG-3′
[2]
5′-GGG​CGT​CTG​GCT​GTT​TTC​A-3′
locator
section[9]/table-wrap[1]#T2
[7] object · 16 fields
id
asset:table:pmid:34307447:4
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table
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jats-table
media_type
application/vnd.jats.table+json
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null
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sha256:3c0146defde18867e30df1bda6685c630e09f200137c9e64da841743e67543db
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2817
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read_table
reader_status
available
identifier
section[13]/table-wrap[1]#T3
version
null
note
Functional roles of all hub genes with degrees>60.
structure object · 5 fields
pmcid
PMC8292837
section_index
13
section_title
Construction of the PPI Network and Selection of Hub Genes
row_count
18
column_count
5
table object · 8 fields
label
TABLE 3
caption
Functional roles of all hub genes with degrees>60.
rows array · 18 items
[0] array · 5 items
[0]
No
[1]
Gene Symbol
[2]
Degree
[3]
Full name
[4]
Function
[1] array · 5 items
[0]
1
[1]
CDK1
[2]
123
[3]
Cyclin-dependent kinase 1
[4]
CDK1 regulates the cell cycle progression, apoptosis and carcinogenesis of several cancers
[2] array · 5 items
[0]
2
[1]
CDC20
[2]
106
[3]
Cell division cycle 20
[4]
CDC20 participates in the pathogenesis of NSCLC, and its higher expression correlates with higher tumor grade
[3] array · 5 items
[0]
3
[1]
CCNB1
[2]
95
[3]
Cyclin B1
[4]
CCNB1 plays an important role in promoting the transition from G2/M phase, and its high expression predicts worse prognosis in LUSC.
[4] array · 5 items
[0]
4
[1]
CCNB2
[2]
91
[3]
Cyclin B2
[4]
CCNB2 participates in promoting G2/M transition, and its overexpression correlates with the development of LUSC.
[5] array · 5 items
[0]
5
[1]
CCNA2
[2]
83
[3]
Cyclin A2
[4]
CCNA2 promotes the transition from G1 to S phase and G2 to M phase, and it is overexpressed in LUSC.
[6] array · 5 items
[0]
6
[1]
BUB1
[2]
83
[3]
BUB1 mitotic checkpoint serine/threonine kinase
[4]
BUB1 participates in binding kinetochores, and its mutation is correlated with the occurrence of LUSC.
[7] array · 5 items
[0]
7
[1]
AURKB
[2]
82
[3]
Aurora Kinase B
[4]
AURKB closely correlates with the acquired resistance of anti-EGFR treatment in NSCLC.
[8] array · 5 items
[0]
8
[1]
PLK1
[2]
80
[3]
Polo Like Kinase 1
[4]
Abnormal expression of PLK1 is associated with higher stages and aggressive progression of LUSC.
[9] array · 5 items
[0]
9
[1]
MAD2L1
[2]
75
[3]
Mitotic Arrest Deficient 2 Like 1
[4]
MAD2L1 participates in chromosomal instability and substantial aneuploidy, which is correlated with the carcinogenesis of NSCLC.
[10] array · 5 items
[0]
10
[1]
CDCA8
[2]
74
[3]
Cell Division Cycle Associated 8
[4]
Phosphorylation and activation of CDCA8 by AURKB serve an important role in the tumorigenesis of LC.
[11] array · 5 items
[0]
11
[1]
KIF11
[2]
69
[3]
Kinesin Family Member 11
[4]
The overexpression of KIF11 promotes the invasion and adverse prognosis of NSCLC.
[12] array · 5 items
[0]
12
[1]
KIF2C
[2]
69
[3]
Kinesin Family Member 2C
[4]
Elevated expression of KIF2C is associated with poorer differentiation status and lymph node metastasis in NSCLC.
[13] array · 5 items
[0]
13
[1]
NDC80
[2]
69
[3]
NDC80 Kinetochore Complex Component
[4]
NDC80 is highly expressed in LUAD, and high expression of NDC80 is associated with shorter OS.
[14] array · 5 items
[0]
14
[1]
BIRC5
[2]
66
[3]
Baculoviral IAP Repeat Containing 5
[4]
BIRC5 is highly expressed in LUSC, and the upregulation of BIRC5 indicates worse survival in LUSC.
[15] array · 5 items
[0]
15
[1]
CENPE
[2]
65
[3]
Centromere Protein E
[4]
CENPE is overexpressed in the G2/M phase, and CENPE participates in the cell proliferation in LUAD.
[16] array · 5 items
[0]
16
[1]
TOP2A
[2]
64
[3]
Topoisomerase (DNA) II α
[4]
TOP2A regulates the progress of LUSC, and high expression of TOP2A predicts poor prognosis in LUSC.
[17] array · 5 items
[0]
17
[1]
CENPF
[2]
63
[3]
Centromere Protein F
[4]
High expression of CENPF is associated with larger tumor size and poorer survival in NSCLC.
locator
section[13]/table-wrap[1]#T3
[8] object · 16 fields
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asset:table:pmid:34307447:5
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table
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jats-table
media_type
application/vnd.jats.table+json
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sha256:3b7a2cc869cc228b72994474a38cc9f0e19dbd98409749bae1a0a670460430cf
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Relative pathways associated with the expression of CDK1 and CDC20 using GSEA.
structure object · 5 fields
pmcid
PMC8292837
section_index
14
section_title
Gene Set Enrichment Analysis of CDK1 and CDC20
row_count
21
column_count
6
table object · 8 fields
label
TABLE 4
caption
Relative pathways associated with the expression of CDK1 and CDC20 using GSEA.
rows array · 21 items
[0] array · 6 items
[0]
Gene
[1]
Name
[2]
ES
[3]
NES
[4]
NOM p-value
[5]
FDR q-value
[1] array · 6 items
[0]
CDK1
[1]
KEGG_BASAL_TRANSCRIPTION_FACTORS
[2]
0.57
[3]
1.74
[4]
0.010
[5]
0.033
[2] array · 5 items
[0]
KEGG_BASE_EXCISION_REPAIR
[1]
0.67
[2]
1.90
[3]
0.000
[4]
0.040
[3] array · 5 items
[0]
KEGG_CELL_CYCLE
[1]
0.58
[2]
1.88
[3]
0.000
[4]
0.012
[4] array · 5 items
[0]
KEGG_DNA_REPLICATION
[1]
0.76
[2]
1.85
[3]
0.004
[4]
0.014
[5] array · 5 items
[0]
KEGG_MISMATCH_REPAIR
[1]
0.77
[2]
1.94
[3]
0.002
[4]
0.016
[6] array · 5 items
[0]
KEGG_NUCLEOTIDE_EXCISION_REPAIR
[1]
0.61
[2]
1.81
[3]
0.006
[4]
0.017
[7] array · 5 items
[0]
KEGG_ONE_CARBON_POOL_BY_FOLATE
[1]
0.67
[2]
1.73
[3]
0.002
[4]
0.034
[8] array · 5 items
[0]
KEGG_RNA_DEGRADATION
[1]
0.56
[2]
1.83
[3]
0.006
[4]
0.016
[9] array · 5 items
[0]
KEGG_RNA_POLYMERASE
[1]
0.67
[2]
1.88
[3]
0.000
[4]
0.015
[10] array · 5 items
[0]
KEGG_SPLICEOSOME
[1]
0.55
[2]
1.95
[3]
0.002
[4]
0.020
[11] array · 6 items
[0]
CDC20
[1]
KEGG_BASAL_TRANSCRIPTION_FACTORS
[2]
0.53
[3]
1.57
[4]
0.033
[5]
0.137
[12] array · 5 items
[0]
KEGG_BASE_EXCISION_REPAIR
[1]
0.61
[2]
1.70
[3]
0.004
[4]
0.063
[13] array · 5 items
[0]
KEGG_CELL_CYCLE
[1]
0.59
[2]
1.84
[3]
0.002
[4]
0.030
[14] array · 5 items
[0]
KEGG_DNA_REPLICATION
[1]
0.78
[2]
1.76
[3]
0.000
[4]
0.044
[15] array · 5 items
[0]
KEGG_MISMATCH_REPAIR
[1]
0.74
[2]
1.80
[3]
0.004
[4]
0.034
[16] array · 5 items
[0]
KEGG_NUCLEOTIDE_EXCISION_REPAIR
[1]
0.61
[2]
1.72
[3]
0.006
[4]
0.058
[17] array · 5 items
[0]
KEGG_OOCYTE_MEIOSIS
[1]
0.43
[2]
1.60
[3]
0.011
[4]
0.126
[18] array · 5 items
[0]
KEGG_RNA_DEGRADATION
[1]
0.62
[2]
1.94
[3]
0.000
[4]
0.010
[19] array · 5 items
[0]
KEGG_RNA_POLYMERASE
[1]
0.60
[2]
1.60
[3]
0.031
[4]
0.134
[20] array · 5 items
[0]
KEGG_SPLICEOSOME
[1]
0.59
[2]
2.03
[3]
0.002
[4]
0.005
locator
section[14]/table-wrap[1]#T4
[9] object · 16 fields
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asset:table:pmid:34307447:6
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The primers of GAPDH, CDK1 and CDC20.
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pmcid
PMC8292837
section_index
16
section_title
The External Validation of Basic Experiments
row_count
4
column_count
3
table object · 8 fields
label
TABLE 2
caption
The primers of GAPDH, CDK1 and CDC20.
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[0] array · 3 items
[0]
Gene symbol
[1]
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[2]
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[0]
GAPDH
[1]
5′-ACA​ACT​TTG​GTA​TCG​TGG​AAG​G-3′
[2]
5′-GCC​ATC​ACG​CCA​CAG​TTT​C-3′
[2] array · 3 items
[0]
CDK1
[1]
5′-GGA​TGT​GCT​TAT​GCA​GGA​TTC​C-3′
[2]
5′-CAT​GTA​CTG​ACC​AGG​AGG​GAT​AG-3′
[3] array · 3 items
[0]
CDC20
[1]
5′-GAC​CAC​TCC​TAG​CAA​ACC​TGG-3′
[2]
5′-GGG​CGT​CTG​GCT​GTT​TTC​A-3′
locator
section[9]/table-wrap[1]#T2
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[0]
asset:data:geo:GSE19188 not downloaded
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asset:data:geo:GSE19188 licence not read
[2]
asset:data:geo:GSE30219 not downloaded
[3]
asset:data:geo:GSE30219 licence not read
[4]
asset:data:geo:GSE33532 not downloaded
[5]
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method-1
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differential_expression
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limma_voom
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normalise_counts
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fdr_bh
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parameters object · 1 field
fdr_threshold
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count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
DEGs were selected between LUSC and normal lung tissues using the limma package of R software (Ritchie et al., 2015). To minimize the false discovery rate (FDR), the p-values were adjusted using the Benjamini–Hochberg method.
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Survival analysis
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time_to_event_with_censoring
evidence object · 3 fields
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Kaplan-Meier
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method-3
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network_analysis
specific
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label
Network / pathway analysis
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[1]
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[2]
pathway_enrich
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0.7
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medium
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protein-protein interaction
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method.reader_differs_from_extractor
capability object · 3 fields
state
complete
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[0] object · 6 fields
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capability:computational_analysis
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Computational analysis platform
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[0]
meta_analysis
[1]
machine_learning
[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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complete
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R1
blocked_on
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true
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normalise_counts
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differential_expression_fit
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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 · 3 items
[0]
GSE33532
[1]
GSE30219
[2]
GSE19188
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[0]
GSE33532
[1]
GSE30219
[2]
GSE19188
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
basis
The paper names GSE33532, GSE30219, GSE19188 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
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differential_expression_fit
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fdr_bh
assets array · 8 items
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source:pmid:34307447
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data:geo:GSE19188
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asset:table:pmid:34307447:1
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asset:table:pmid:34307447:2
[4]
asset:table:pmid:34307447:3
[5]
asset:table:pmid:34307447:4
[6]
asset:table:pmid:34307447:5
[7]
asset:table:pmid:34307447:6
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run_analysis
must_build object · 5 fields
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
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data:geo:GSE19188
gaps array · 0 items
review object · 5 fields
state
partial
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
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minimax
provider_family
minimax
read_at
2026-10-31T18:32:48Z
independence
single_reader
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verbatim
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verbatim
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extraction
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review.independent_reader
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review.human_critique
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pmid:34307447
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paper
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pmid:34307447
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id
source:pmid:34307447
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manuscript
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PMID 34307447 full text
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id
data:geo:GSE19188
type
dataset
label
GEO GSE19188
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id
activity-reading-sci-2026-11-01
type
classification
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pmid:34307447
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paper
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pmid:34307447
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source:pmid:34307447
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PMID 34307447 full text
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data:geo:GSE19188
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dataset
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GEO GSE19188
agent
agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-34307447
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extraction
used array · 1 item
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source:pmid:34307447
agent
agent:minimax-reader
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activity-resolve-GSE19188
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accession_resolution
used array · 1 item
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data:geo:GSE19188
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agent:corpus-assay-engine
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[0] object · 3 fields
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agent:corpus-assay-engine
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software
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agent:minimax-reader
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software
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MiniMax literature reader
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343fb30756ba6ec3
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parent_id
pmid:34307447
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sha256:c478d10b424ccb890704368bbf197791673754bb2682b59a8aa1105491482ff4
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null
gaps array · 11 items
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asset:data:geo:GSE19188 licence not read
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asset:data:geo:GSE19188 not downloaded
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[3]
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[4]
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evidence array · 1 item
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candidate indicators of LUSC. Methods: Three microarray datasets (GSE33532, GSE30219 and GSE19188) w
order_basis
paper_text_order:302
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assay:1
[1] object · 11 fields
role
analysis
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differential_expression
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f2132e96ae6c7a4e
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f2132e96ae6c7a4e
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DEGs were selected between LUSC and normal lung tissues using the limma package of R software (Ritchie et al., 2015). To minimize the false discovery rate (FDR), the p-values were adjusted using the Benjamini–Hochberg method.
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34307447", "kind": "science-record", "revision": 8, "content_hash": "sha256:5935f9bb1c837db1886c17b56668bc5c91ed4fa69e3989259b1438f795978768", "created_at": "2026-11-01T15:41:45Z", "updated_at": "2026-11-01T22:47:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "High Expression Levels of CDK1 and CDC20 in Patients With Lung Squamous Cell Carcinoma are Associated With Worse Prognosis.", "doi": "10.3389/fmolb.2021.653805", "pmid": "34307447", "authors": ["Huan Deng", "Qingqing Hang", "Dijian Shen", "Hangjie Ying", "Yibi Zhang", "Xu Qian", "Ming Chen"], "journal": "Frontiers in molecular biosciences", "year": 2021, "abstract": "Purpose: Progress related to the early detection and molecular targeted therapy of lung squamous cell carcinoma (LUSC) remains limited. The goal of our study was to identify key candidate indicators of LUSC. Methods: Three microarray datasets (GSE33532, GSE30219 and GSE19188) were applied to find differentially expressed genes (DEGs). Functional enrichment analyses of DEGs were carried out, and their protein-protein interaction (PPI) network was established. Hub genes were chosen from the PPI network according to their degree scores. Then, overall survival (OS) analyses of hub genes were carried out using Kaplan-Meier plotter, and their GSEA analyses were performed. Public databases were used to verify the expression patterns of CDK1 and CDC20. Furthermore, basic experiments were performed to verify our findings. Results: A total of 1,366 DEGs were identified, containing 669 downregulated and 697 upregulated DEGs. These DEGs were primarily enriched in cell cycle, chromosome centromeric region and nuclear division. Seventeen hub genes were selected from PPI network. Survival analyses demonstrated that CDK1 and CDC20 were closely associated with OS. GSEA analyses revealed that cell cycle, DNA replication, and mismatch repair were associated with CDK1 expression, while spliceosome, RNA degradation and cell cycle were correlated with CDC20 expression. Based on The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (THPA) databases, CDK1 and CDC20 were upregulated in LUSC at the mRNA and protein levels. Moreover, basic experiments also supported the obvious upregulation of CDK1 and CDC20 in LUSC. Conclusion: Our study suggests and validates that CDK1 and CDC20 are potential therapeutic targets and prognostic biomarkers of LUSC.", "claims": [{"id": "claim-method", "statement": "DEGs were selected between LUSC and normal lung tissues using the limma package of R software (Ritchie et al., 2015). 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