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pmid:32304567

POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer.

Zhen Wu · Yue-Ming Wang · Yu Dai · Liang-An Chen

Medical science monitor : international medical journal of experimental and clinical research · 2020 doi:10.12659/MSM.921430

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Experiment

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Data

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Analysis

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title
POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer.
doi
10.12659/MSM.921430
pmid
32304567
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Zhen Wu
[1]
Yue-Ming Wang
[2]
Yu Dai
[3]
Liang-An Chen
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2020
abstract
BACKGROUND Squamous cell lung cancer is the main cause of cancer-associated mortality. The discovery of promising prognostic biomarkers for predicting the survival of patients with squamous cell lung cancer remains a challenge. MATERIAL AND METHODS Gene expression profiles of GSE33479 and GSE51855, including 42 squamous cell lung cancer tissues and 17 normal tissues, from the GEO database were assessed to find common differentially expressed genes (DEGs) via the GEO2R online tool and Venn diagram software. Then, gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analyses were conducted. The key protein-protein interaction (PPI) network within those common DEGs was subsequently illustrated through a combination of Search Tool for Retrieval of Interacting Genes (STRING) and Cytoscape software. Finally, core genes associated with survival and levels of immune infiltration were demonstrated by the Kaplan-Meier plotter and Tumor Immune Estimation Resource (TIMER) online database, respectively. RESULTS In total, 483 DEGs were involved, including 216 upregulated genes enriched in "cell division", "DNA replication", and "DNA repair pathway" and 267 downregulated genes enriched in "cell adhesion", "oxidation-reduction process", and "cell-cell signaling". The 75 core genes were selected by Molecular Complex Detection applied in Cytoscape. Four genes - MND1, FOXM1, CDC6, and POLE2 - were found to be significantly associated with survival. Further analysis of the KEEG pathway and TIMER database revealed that only POLE2 was enriched in "DNA replication" and its higher expression was negatively associated with survival and immune infiltration. CONCLUSIONS Higher expression of POLE2 is a prognosis-related biomarker for worse survival and is negatively associated with immune infiltration in squamous cell lung cancer.
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The strength of the relationship of gene expression with level of immune infiltration was evaluated via Pearson’s correlation using absolute values as follows: 0.80–1.0 is “very strong”, 0.60–0.79 is “strong”, 0.40–0.59 is “moderate”, 0.20–0.39 is “weak”, and 0.00–0.19 is “very weak” [29].
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The strength of the relationship of gene expression with level of immune infiltration was evaluated via Pearson’s correlation using absolute values as follows: 0.80–1.0 is “very strong”, 0.60–0.79 is “strong”, 0.40–0.59 is “moderate”, 0.20–0.39 is “weak”, and 0.00–0.19 is “very weak” [29].
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Gene expression profiles of GSE33479 and GSE51855 in squamous cell lung cancer and normal lung tissues were downloaded from the GEO database. Microarray data of GSE33479 and GSE51855 were all assessed in GP6480 Platforms, which consisted of 14 squamous cell lung cancer tissues and 13 normal lung tissues and 28 squamous cell lung cancer tissues and 4 normal lung tissues, respectively.
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Gene expression profiles of GSE33479 and GSE51855 in squamous cell lung cancer and normal lung tissues were downloaded from the GEO database. Microarray data of GSE33479 and GSE51855 were all assessed in GP6480 Platforms, which consisted of 14 squamous cell lung cancer tissues and 13 normal lung tissues and 28 squamous cell lung cancer tissues and 4 normal lung tissues, respectively.
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All 483 commonly differentially expressed genes (DEGs) were collected from 3 profile datasets, including 216 upregulated genes and 267 downregulated genes in the squamous cell lung cancer tissues compared to normal tissues.
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Identification of DEGs in squamous cell lung cancer
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All 483 commonly differentially expressed genes (DEGs) were collected from 3 profile datasets, including 216 upregulated genes and 267 downregulated genes in the squamous cell lung cancer tissues compared to normal tissues.
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Upregulated
[1]
KRT16P2, ARHGAP11A, DEPDC1B, IGF2BP3, HOXD11, HRG, HOXC13, PKP1, NETO2, CALB1, CXCL13, HOXA13, LY6K, GPNMB, AKR1B10, GINS1, C16orf59, DUXAP8, ADAMDEC1, LOC399815, ANLN, BIRC5, CHRNA5, GJB6, KLK8, FOXM1, SPRR2D, CDK1, HIST1H3B, CHEK1, NEIL3, KIF11, PTHLH, KIF18B, ADAM23, AIM1L, POU4F1, CDC6, SAPCD2, CENPU, DSC2, MASTL, SMC4, KIF14, KIAA1549L, MAD2L1, NMRAL1P1, ARNTL2, CSTA, CARD14, PITX2, DEFB4A, RGS20, CENPL, ANKRD22, LINC01296, HOXA10, ARHGEF39, SPP1, SMCO2, CA9, LYPD3, MCM10, FAM83C, PPP2R2C, CASC9, FAM72D, TICRR, SOST, CENPA, TYMS, CDCA7, GRHL3, MELK, SFN, IL1RAP, ERC2, PRDM13, CENPN, IL36G, ZWINT, NDC80, SLC7A11, SGO1, GREM1, SPRR1A, PGLYRP4, KRT34, OIP5, CCNA2, IGFL2, ABCA12, BUB1, POLQ, NUF2, PBK, COCH, KRT6A, GNGT1, SKA1, MMP1, MMP12, CDCA5, UBE2T, CKS2, KIF23, DEPDC1, MMP11, FAM83A, CPA6, PLPP4, SKA3, TK1, DIAPH3, HOXC13-AS, TMEM158, HOXA11-AS, SPRR2C, MMP3, DSC3, CENPE, ZIC5, ASPM, PRSS2, ANXA10, KNL1, ATAD2, BRIP1, MND1, HOXD10, CCNB2, KRT6C, POLE2, MELTF, PIF1, CDT1, LRP8, FOXL2, POU6F2, CEP55, LINC01615, AUNIP, RRM2, KRT16, TOP2A, ERO1A, WDR72, ABCC5, FANCI, PLAC1, RAD54L, CCNE2, CDC45, S100A2, C6orf10, SPC25, CNTNAP2, KIF18A, WISP1, KIF15, KRT16P3, DSG3, BUB1B, LINC00659, DLGAP5, RAD51AP1, ZFP64, ESCO2, KRTAP4-1, IL36RN, MKI67, CLSPN, DTL, PTTG3P, ERVMER34-1, CDCA2, RAD51, AKR1C1, HMMR, HIST1H3D, SPRR3, CCDC150, C12orf56, CENPI, FBXO45, ERCC6L, JAKMIP3, AIM2, ORC6, S100A7, HOXC8, COL10A1, DEFB103B, KRT6B, COL11A1, LCAL1, PRAME, CTHRC1, UHRF1, FAM111B, KIAA0101, LHX2, KRT79, TTK, CDKN3, SH2D5, NCAPG, NEK2, GINS2, CENPF, NUSAP1, KRT75, ALPK2, SPRR1B, CDCA8
[2] array · 2 items
[0]
Downregulated
[1]
CHRDL1, ANGPTL5, UMODL1-AS1, MAATS1, WISP2, ITIH5, RGN, LGR6, FAT4, SLC22A4, NOSTRIN, SYNPO2, FLJ26850, PRR29, CYP2F1, NXPH3, CNN1, SAXO2, PLN, ANO5, LINC00261, CFAP206, HIF3A, CNTN4, C11orf88, SLC16A12, DACT3, PRDM16, GDF10, SEMA3E, ATOH8, TSPAN8, PPP1R9A, TNXB, PDZRN3, ANGPTL7, RSPH4A, EFHC1, LOC286191, STMND1, SMAD9, PIGR, RIIAD1, FOLR1, RCAN2, CAPN9, ITGA8, KRT222, SPATA4, SCRG1, SRD5A2, ZNF540, DUSP26, PTGFR, FHL1, C10orf107, C16orf71, DNALI1, PGM5-AS1, LEPR, PPP1R1B, RIC3, ABCA8, PPARGC1A, MFSD4A, ZFPM2, BHMT2, TMEM132C, FBLN1, TCF21, JPH2, RSPH1, LMOD1, ZBTB16, ELN, ADRA1B, DES, ASPA, CFAP43, MS4A8, EDNRB, RSPO1, UBXN10, HRCT1, ENKUR, SH3BGRL2, SPAG6, FAM81B, ARMC4, C1QTNF7, TRIM63, TMEM229A, ABI3BP, NRG2, WDR78, RUNDC3B, WIF1, C1QTNF2, SNCA, ROPN1L, ALDH7A1, CDHR3, PRUNE2, ERICH3, CRISP2, PIH1D3, NTRK3, C7, KHDRBS2, MORN5, NKX2-1, DYNLRB2, CSH1, C9orf135, PDK4, GPM6A, ACTN2, FILIP1, MAGI2-AS3, PDE1A, CPED1, FGF14, RERGL, PIFO, ANGPTL1, TMEM100, SLC22A3, HSD17B13, CAPN8, GREM2, ARHGAP20, CFAP70, NR3C2, EMCN, DPT, RGS5, ARMC3, GPIHBP1, EPHA3, MFAP4, ADGB, DRC3, DNAH7, OGN, SCARA5, PRG4, ATP1A2, ERICH2, DRC1, ADGRB3, CDO1, SDPR, ANOS1, SORBS1, PCDH20, ABCA6, SFTA3, LIFR, SGCA, EFHB, FGF9, PLCL1, LIMCH1, LRRC74B, AKAP12, C11orf97, MEOX2, SNTN, CXCL12, ADGRG2, APOD, ZNF880, PDE5A, NECAB1, MYOC, FMO5, PEG3-AS1, JAM2, DUSP27, KIAA1456, SPARCL1, SYNE1, RGS22, PDZRN4, TTC29, LINC01082, ZBBX, NME5, KCNA5, CACNB2, METTL7A, RHOJ, PGR, CCDC173, SRPX, SSTR1, FAM189A2, GPRASP1, C6orf118, SCN7A, SPATS1, PCDH9, CEP126, CAPSL, FLRT3, ZMYND12, LMO3, C9orf24, RBMS3, ACTG2, GNA14, SHANK2, SPAG8, TMEM213, IL33, C1orf194, ADH1B, ARHGAP6, KLF15, ME3, MYRIP, LINC00968, KCNB1, FAXDC2, CASC1, FAM107A, KCTD16, CDH19, LDLRAD1, CCBE1, DCDC5, PGM5, EYA4, FXYD1, PPP1R3C, ADAMTS9-AS2, ASB5, BMPR1B, SEMA5A, PI16, DAW1, SP5, LOC100506725, FAM47E, EFCAB1, CASQ2, SLIT2, HSPB7, WFDC1, FLJ30901, SCN2B, MACROD2, MAMDC2, ETV1, ADAMTSL3, ROR1, AR, MAPK4, CCDC178, GALNT16, LINC00472, DIO3OS, RNASE4, CYP4B1, PTGIS, WDR63
locator
section[11]/table-wrap[1]#t1-medscimonit-26-e921430
[4] object · 16 fields
id
asset:table:pmid:32304567:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1dacb08a221fff1176650ce7d506e27ed0d4fa76594beebf0e6f897a4943f228
bytes
2934
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[1]#t2-medscimonit-26-e921430
version
null
note
Gene ontology analysis of differentially expressed genes in squamous cell lung cancer.
structure object · 5 fields
pmcid
PMC7191965
section_index
12
section_title
Analysis of GO and KEGG pathway in squamous cell lung cancer
row_count
31
column_count
7
table object · 8 fields
label
Table 2
caption
Gene ontology analysis of differentially expressed genes in squamous cell lung cancer.
rows array · 31 items
[0] array · 7 items
[0]
Expression
[1]
Category
[2]
Term
[3]
Count
[4]
%
[5]
p Value
[6]
FDR
[1] array · 7 items
[0]
Upregulated
[1]
GOTERM_BP_DIRECT
[2]
GO: 0051301 ~ cell division
[3]
33
[4]
15.28
[5]
2.4E-21
[6]
2.2E-18
[2] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0007067 ~ mitotic nuclear division
[2]
28
[3]
12.96
[4]
1.1E-19
[5]
3.2E-17
[3] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0007062 ~ sister chromatid cohesion
[2]
22
[3]
10.19
[4]
2.4E-21
[5]
2.2E-18
[4] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0007059 ~ chromosome segregation
[2]
15
[3]
6.94
[4]
1.2E-14
[5]
2.7E-12
[5] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0006260 ~ DNA replication
[2]
15
[3]
6.94
[4]
1.2E-9
[5]
2.3E-7
[6] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0006281 ~ DNA repair
[2]
14
[3]
6.48
[4]
1.5E-6
[5]
1.8E-4
[7] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005634 ~ nucleus
[2]
93
[3]
43.06
[4]
1.0E-7
[5]
3.7E-6
[8] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005654 ~ nucleoplasm
[2]
61
[3]
28.24
[4]
2.2E-8
[5]
1.0E-6
[9] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005737 ~ cytoplasm
[2]
75
[3]
34.72
[4]
2.2E-3
[5]
1.9E-2
[10] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005829 ~ cytosol
[2]
53
[3]
24.54
[4]
1.6E-3
[5]
1.7E-2
[11] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005576 ~ extracellular region
[2]
28
[3]
12.96
[4]
1.1E-2
[5]
7.5E-2
[12] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0043565 ~ extracellular space
[2]
21
[3]
9.72
[4]
7.9E-2
[5]
3.2E-1
[13] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0005515 ~ protein binding
[2]
126
[3]
58.33
[4]
3.4E-6
[5]
4.5E-4
[14] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0005524 ~ ATP binding
[2]
32
[3]
14.81
[4]
3.0E-4
[5]
1.6E-2
[15] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0003677 ~ DNA binding
[2]
25
[3]
11.57
[4]
9.1E-2
[5]
6.8E-1
[16] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0003682 ~ chromatin binding
[2]
18
[3]
8.33
[4]
1.2E-6
[5]
3.1E-4
[17] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0005509 ~ calcium ion binding
[2]
14
[3]
6.48
[4]
4.7E-2
[5]
5.3E-1
[18] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0043565 ~ sequence-specific DNA binding
[2]
12
[3]
5.56
[4]
2.5E-2
[5]
3.8E-1
[19] array · 7 items
[0]
Downregulated
[1]
GOTERM_BP_DIRECT
[2]
GO: 0007155 ~ cell adhesion
[3]
14
[4]
5.24
[5]
3.5E-3
[6]
7.5E-1
[20] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0055114 ~ oxidation-reduction process
[2]
12
[3]
4.49
[4]
9.7E-2
[5]
9.4E-1
[21] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0007267 ~ cell-cell signaling
[2]
9
[3]
3.37
[4]
1.1E-2
[5]
7.4E-1
[22] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO: 0006936 ~ muscle contraction
[2]
8
[3]
3.00
[4]
2.9E-4
[5]
2.9E-1
[23] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005576 ~ extracellular region
[2]
37
[3]
13.86
[4]
2.7E-4
[5]
2.9E-2
[24] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0043565 ~ extracellular space
[2]
29
[3]
10.86
[4]
3.9E-3
[5]
1.2E-1
[25] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005622 ~ intracellular
[2]
26
[3]
9.74
[4]
2.1E-2
[5]
3.0E-1
[26] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO: 0005578 ~ proteinaceous extracellular matrix
[2]
14
[3]
5.24
[4]
2.6E-5
[5]
5.8E-3
[27] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0005509 ~ calcium ion binding
[2]
23
[3]
8.61
[4]
3.2E-5
[5]
1.2E-2
[28] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0005102 ~ receptor binding
[2]
9
[3]
3.37
[4]
5.4E-2
[5]
7.8E-1
[29] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0008201 ~ heparin binding
[2]
10
[3]
3.74
[4]
1.1E-4
[5]
2.0E-2
[30] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO: 0046983 ~ protein dimerization activity
[2]
6
[3]
2.24
[4]
3.1E-2
[5]
8.6E-1
locator
section[12]/table-wrap[1]#t2-medscimonit-26-e921430
[5] object · 16 fields
id
asset:table:pmid:32304567:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:6fa5648542cadcbb9122ee28cae72a73df1453948a3b3786eab6fcb394efd030
bytes
643
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open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[2]#t3-medscimonit-26-e921430
version
null
note
KEEG pathway analysis.
structure object · 5 fields
pmcid
PMC7191965
section_index
12
section_title
Analysis of GO and KEGG pathway in squamous cell lung cancer
row_count
8
column_count
5
table object · 8 fields
label
Table 3
caption
KEEG pathway analysis.
rows array · 8 items
[0] array · 5 items
[0]
Pathway ID
[1]
Name
[2]
Count
[3]
%
[4]
P value
[1] array · 5 items
[0]
hsa04110
[1]
Cell cycle
[2]
13
[3]
6.01
[4]
2.0E-10
[2] array · 5 items
[0]
hsa04115
[1]
p53 signaling pathway
[2]
6
[3]
2.78
[4]
2.0E-4
[3] array · 5 items
[0]
hsa04114
[1]
Oocyte meiosis
[2]
6
[3]
2.78
[4]
2.0E-3
[4] array · 5 items
[0]
hsa04914
[1]
Progesterone-mediated oocyte maturation
[2]
5
[3]
2.31
[4]
5.3E-3
[5] array · 5 items
[0]
has03460
[1]
Fanconi anemia pathway
[2]
4
[3]
1.85
[4]
9.0E-3
[6] array · 5 items
[0]
hsa04020
[1]
Calcium signaling pathway
[2]
6
[3]
2.78
[4]
3.7E-2
[7] array · 5 items
[0]
has00240
[1]
Pyrimidine metabolism
[2]
4
[3]
1.85
[4]
4.9E-2
locator
section[12]/table-wrap[2]#t3-medscimonit-26-e921430
[6] object · 16 fields
id
asset:table:pmid:32304567:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:a9cdf6cacc8b2518de4fe2eb28258b9c2e76943f9b3692361dd609ae22432682
bytes
887
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[14]/table-wrap[1]#t4-medscimonit-26-e921430
version
null
note
The prognostic information of the 75 key candidate genes.
structure object · 5 fields
pmcid
PMC7191965
section_index
14
section_title
Analysis of key genes by GEPIA and Kaplan-Meier plotter
row_count
3
column_count
2
table object · 8 fields
label
Table 4
caption
The prognostic information of the 75 key candidate genes.
rows array · 3 items
[0] array · 2 items
[0]
Category
[1]
Genes
[1] array · 2 items
[0]
Genes predicting significantly worse survival (P<0.05)
[1]
MND1, POLE2, CDC6, FOXM1
[2] array · 2 items
[0]
Genes predicting significantly worse survival (P>0.05)
[1]
KIF23, SKA3, SPC25, ATAD2, CDC45, CASC5, POLQ, CDK1, CCNA2, BIRC5, CDCA2, TTK, NDC80, ASPM, GINS2, CDKN3, TK1, CDT1, OIP5, DEPDC1, CCNB2, RAD54L, CEP55, NCAPG, DIAPH3, SKA1, NEIL3, CENPE, CDCA7, TYMS, KIF15, ANLN, CDCA5, CHEK1, NUF2, KIF18B, SGOL1, CKS2, MAD2L1, NUSAP1, BUB1, UHRF1, CENPN, HMMR, RAD51, KIF14, BUB1B, CDCA8, RRM2, ZWINT, DEPDC1B, KIF18A, FANCI, CENPU, NEK2, SMC4, PBK, ERCC6L, MKI67, MELK, KIF11, CENPF, MCM10, UBE2T, CENPA, RAD51AP1, KIAA0101, DLGAP5, DTL, ARHGAP11A, TOP2A
locator
section[14]/table-wrap[1]#t4-medscimonit-26-e921430
gaps array · 4 items
[0]
asset:data:geo:GSE33479 not downloaded
[1]
asset:data:geo:GSE33479 licence not read
[2]
asset:data:geo:GSE51855 not downloaded
[3]
asset:data:geo:GSE51855 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 1 field
hazard_ratio
ented with P values and HR as determined by the lo
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[2] object · 10 fields
id
method-3
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
[3] object · 10 fields
id
method-4
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
[4] object · 10 fields
id
method-5
family
null
specific
null
label
Pearson’s correlation
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
The strength of the relationship of gene expression with level of immune infiltration was evaluated via Pearson’s correlation using absolute values as follows: 0.80–1.0 is “very strong”, 0.60–0.79 is “strong”, 0.40–0.59 is “moderate”, 0.20–0.39 is “weak”, and 0.00–0.19 is “very weak” [29].
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 · 1 item
[0]
survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 2 items
[0]
GSE33479
[1]
GSE51855
resolved_accessions array · 2 items
[0]
GSE33479
[1]
GSE51855
statements array · 1 item
[0]
Gene expression profiles of GSE33479 and GSE51855 in squamous cell lung cancer and normal lung tissues were downloaded from the GEO database. Microarray data of GSE33479 and GSE51855 were all assessed in GP6480 Platforms, which consisted of 14 squamous cell lung cancer tissues and 13 normal lung tissues and 28 squamous cell lung cancer tissues and 4 normal lung tissues, respectively.
basis
The paper names GSE33479, GSE51855 in NCBI-GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 6 items
[0]
source:pmid:32304567
[1]
data:geo:GSE33479
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[0]
ic biomarkers for predicting the survival of patients with squamous cell lung cancer remains a challeng
[1]
the expression level of the 4 genes between patients with squamous cell lung cancer and healthy indivi
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32304567", "kind": "science-record", "revision": 8, "content_hash": "sha256:5df005c01d602c0074a29483db49dced29a6f4bebd535e2865deea4b7c3802f1", "created_at": "2026-11-01T15:40:59Z", "updated_at": "2026-11-01T22:01:30Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer.", "doi": "10.12659/MSM.921430", "pmid": "32304567", "authors": ["Zhen Wu", "Yue-Ming Wang", "Yu Dai", "Liang-An Chen"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2020, "abstract": "BACKGROUND Squamous cell lung cancer is the main cause of cancer-associated mortality. The discovery of promising prognostic biomarkers for predicting the survival of patients with squamous cell lung cancer remains a challenge. MATERIAL AND METHODS Gene expression profiles of GSE33479 and GSE51855, including 42 squamous cell lung cancer tissues and 17 normal tissues, from the GEO database were assessed to find common differentially expressed genes (DEGs) via the GEO2R online tool and Venn diagram software. Then, gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analyses were conducted. The key protein-protein interaction (PPI) network within those common DEGs was subsequently illustrated through a combination of Search Tool for Retrieval of Interacting Genes (STRING) and Cytoscape software. Finally, core genes associated with survival and levels of immune infiltration were demonstrated by the Kaplan-Meier plotter and Tumor Immune Estimation Resource (TIMER) online database, respectively. RESULTS In total, 483 DEGs were involved, including 216 upregulated genes enriched in \"cell division\", \"DNA replication\", and \"DNA repair pathway\" and 267 downregulated genes enriched in \"cell adhesion\", \"oxidation-reduction process\", and \"cell-cell signaling\". The 75 core genes were selected by Molecular Complex Detection applied in Cytoscape. Four genes - MND1, FOXM1, CDC6, and POLE2 - were found to be significantly associated with survival. Further analysis of the KEEG pathway and TIMER database revealed that only POLE2 was enriched in \"DNA replication\" and its higher expression was negatively associated with survival and immune infiltration. CONCLUSIONS Higher expression of POLE2 is a prognosis-related biomarker for worse survival and is negatively associated with immune infiltration in squamous cell lung cancer.", "claims": [{"id": "claim-method", "statement": "The strength of the relationship of gene expression with level of immune infiltration was evaluated via Pearson’s correlation using absolute values as follows: 0.80–1.0 is “very strong”, 0.60–0.79 is “strong”, 0.40–0.59 is “moderate”, 0.20–0.39 is “weak”, and 0.00–0.19 is “very weak” [29].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32304567", "locator": "sections[9] \"Statistical analysis\" paragraph 2", "quote": "The strength of the relationship of gene expression with level of immune infiltration was evaluated via Pearson’s correlation using absolute values as follows: 0.80–1.0 is “very strong”, 0.60–0.79 is “strong”, 0.40–0.59 is “moderate”, 0.20–0.39 is “weak”, and 0.00–0.19 is “very weak” [29]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Gene expression profiles of GSE33479 and GSE51855 in squamous cell lung cancer and normal lung tissues were downloaded from the GEO database. Microarray data of GSE33479 and GSE51855 were all assessed in GP6480 Platforms, which consisted of 14 squamous cell lung cancer tissues and 13 normal lung tissues and 28 squamous cell lung cancer tissues and 4 normal lung tissues, respectively.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32304567", "locator": "sections[3] \"Microarray data analysis\" paragraph 2", "quote": "Gene expression profiles of GSE33479 and GSE51855 in squamous cell lung cancer and normal lung tissues were downloaded from the GEO database. Microarray data of GSE33479 and GSE51855 were all assessed in GP6480 Platforms, which consisted of 14 squamous cell lung cancer tissues and 13 normal lung tissues and 28 squamous cell lung cancer tissues and 4 normal lung tissues, respectively."}], "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:32304567"], "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:GSE33479"], "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:GSE33479"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32304567", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.921430", "sha256": "sha256:c17d7857ed39df6adc311f58ee3ec08296b0cdb4043fa1cdc760d0c22862331e", "bytes": 31628, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12659/MSM.921430", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7191965", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE33479", "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=GSE33479", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE33479", "version": null, "note": "Gene expression profiles of GSE33479 and GSE51855 in squamous cell lung cancer and normal lung tissues were downloaded from the GEO database. Microarray data of GSE33479 and GSE51855 were all assessed in GP6480 Platforms, which consisted of 14 squamous cell lung cancer tissues and 13 normal lung tissues and 28 squamous cell lung cancer tissues and 4 normal lung tissues, respectively.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Gene expression profiles of GSE33479 and GSE51855 in squamous cell lung cancer and normal lung tissues were downloaded from the GEO database. 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"group_sizes": null, "group_sizes_basis": null, "platform": "7341;6480", "taxon": "Homo sapiens", "title": "Lung adenocarcinoma subtypes definable by lung development-related miRNA expression profiles in association with clinicopathologic features", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:32304567:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:9b2a9b4425997fa8ab87884fc880895391639da8a554ad6bc7f833ec68f7d559", "bytes": 4069, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#t1-medscimonit-26-e921430", "version": null, "note": "All 483 commonly differentially expressed genes (DEGs) were collected from 3 profile datasets, including 216 upregulated genes and 267 downregulated genes in the squamous cell lung cancer tissues compared to normal tissues.", "structure": {"pmcid": "PMC7191965", "section_index": 11, "section_title": "Identification of DEGs in squamous cell lung cancer", "row_count": 3, "column_count": 2}, "table": {"label": "Table 1", "caption": "All 483 commonly differentially expressed genes (DEGs) were collected from 3 profile datasets, including 216 upregulated genes and 267 downregulated genes in the squamous cell lung cancer tissues compared to normal tissues.", "rows": [["DEGs", "Genes names"], ["Upregulated", "KRT16P2, ARHGAP11A, DEPDC1B, IGF2BP3, HOXD11, HRG, HOXC13, PKP1, NETO2, CALB1, CXCL13, HOXA13, LY6K, GPNMB, AKR1B10, GINS1, C16orf59, DUXAP8, ADAMDEC1, LOC399815, ANLN, BIRC5, CHRNA5, GJB6, KLK8, FOXM1, SPRR2D, CDK1, HIST1H3B, CHEK1, NEIL3, KIF11, PTHLH, KIF18B, ADAM23, AIM1L, POU4F1, CDC6, SAPCD2, CENPU, DSC2, MASTL, SMC4, KIF14, KIAA1549L, MAD2L1, NMRAL1P1, ARNTL2, CSTA, CARD14, PITX2, DEFB4A, RGS20, CENPL, ANKRD22, LINC01296, HOXA10, ARHGEF39, SPP1, SMCO2, CA9, LYPD3, MCM10, FAM83C, PPP2R2C, CASC9, FAM72D, TICRR, SOST, CENPA, TYMS, CDCA7, GRHL3, MELK, SFN, IL1RAP, ERC2, PRDM13, CENPN, IL36G, ZWINT, NDC80, SLC7A11, SGO1, GREM1, SPRR1A, PGLYRP4, KRT34, OIP5, CCNA2, IGFL2, ABCA12, BUB1, POLQ, NUF2, PBK, COCH, KRT6A, GNGT1, SKA1, MMP1, MMP12, CDCA5, UBE2T, CKS2, KIF23, DEPDC1, MMP11, FAM83A, CPA6, PLPP4, SKA3, TK1, DIAPH3, HOXC13-AS, TMEM158, HOXA11-AS, SPRR2C, MMP3, DSC3, CENPE, ZIC5, ASPM, PRSS2, ANXA10, KNL1, ATAD2, BRIP1, MND1, HOXD10, CCNB2, KRT6C, POLE2, MELTF, PIF1, CDT1, LRP8, FOXL2, POU6F2, CEP55, LINC01615, AUNIP, RRM2, KRT16, TOP2A, ERO1A, WDR72, ABCC5, FANCI, PLAC1, RAD54L, CCNE2, CDC45, S100A2, C6orf10, SPC25, CNTNAP2, KIF18A, WISP1, KIF15, KRT16P3, DSG3, BUB1B, LINC00659, DLGAP5, RAD51AP1, ZFP64, ESCO2, KRTAP4-1, IL36RN, MKI67, CLSPN, DTL, PTTG3P, ERVMER34-1, CDCA2, RAD51, AKR1C1, HMMR, HIST1H3D, SPRR3, CCDC150, C12orf56, CENPI, FBXO45, ERCC6L, JAKMIP3, AIM2, ORC6, S100A7, HOXC8, COL10A1, DEFB103B, KRT6B, COL11A1, LCAL1, PRAME, CTHRC1, UHRF1, FAM111B, KIAA0101, LHX2, KRT79, TTK, CDKN3, SH2D5, NCAPG, NEK2, GINS2, CENPF, NUSAP1, KRT75, ALPK2, SPRR1B, CDCA8"], ["Downregulated", "CHRDL1, ANGPTL5, UMODL1-AS1, MAATS1, WISP2, ITIH5, RGN, LGR6, FAT4, SLC22A4, NOSTRIN, SYNPO2, FLJ26850, PRR29, CYP2F1, NXPH3, CNN1, SAXO2, PLN, ANO5, LINC00261, CFAP206, HIF3A, CNTN4, C11orf88, SLC16A12, DACT3, PRDM16, GDF10, SEMA3E, ATOH8, TSPAN8, PPP1R9A, TNXB, PDZRN3, ANGPTL7, RSPH4A, EFHC1, LOC286191, STMND1, SMAD9, PIGR, RIIAD1, FOLR1, RCAN2, CAPN9, ITGA8, KRT222, SPATA4, SCRG1, SRD5A2, ZNF540, DUSP26, PTGFR, FHL1, C10orf107, C16orf71, DNALI1, PGM5-AS1, LEPR, PPP1R1B, RIC3, ABCA8, PPARGC1A, MFSD4A, ZFPM2, BHMT2, TMEM132C, FBLN1, TCF21, JPH2, RSPH1, LMOD1, ZBTB16, ELN, ADRA1B, DES, ASPA, CFAP43, MS4A8, EDNRB, RSPO1, UBXN10, HRCT1, ENKUR, SH3BGRL2, SPAG6, FAM81B, ARMC4, C1QTNF7, TRIM63, TMEM229A, ABI3BP, NRG2, WDR78, RUNDC3B, WIF1, C1QTNF2, SNCA, ROPN1L, ALDH7A1, CDHR3, PRUNE2, ERICH3, CRISP2, PIH1D3, NTRK3, C7, KHDRBS2, MORN5, NKX2-1, DYNLRB2, CSH1, C9orf135, PDK4, GPM6A, ACTN2, FILIP1, MAGI2-AS3, PDE1A, CPED1, FGF14, RERGL, PIFO, ANGPTL1, TMEM100, SLC22A3, HSD17B13, CAPN8, GREM2, ARHGAP20, CFAP70, NR3C2, EMCN, DPT, RGS5, ARMC3, GPIHBP1, EPHA3, MFAP4, ADGB, DRC3, DNAH7, OGN, SCARA5, PRG4, ATP1A2, ERICH2, DRC1, ADGRB3, CDO1, SDPR, ANOS1, SORBS1, PCDH20, ABCA6, SFTA3, LIFR, SGCA, EFHB, FGF9, PLCL1, LIMCH1, LRRC74B, AKAP12, C11orf97, MEOX2, SNTN, CXCL12, ADGRG2, APOD, ZNF880, PDE5A, NECAB1, MYOC, FMO5, PEG3-AS1, JAM2, DUSP27, KIAA1456, SPARCL1, SYNE1, RGS22, PDZRN4, TTC29, LINC01082, ZBBX, NME5, KCNA5, CACNB2, METTL7A, RHOJ, PGR, CCDC173, SRPX, SSTR1, FAM189A2, GPRASP1, C6orf118, SCN7A, SPATS1, PCDH9, CEP126, CAPSL, FLRT3, ZMYND12, LMO3, C9orf24, RBMS3, ACTG2, GNA14, SHANK2, SPAG8, TMEM213, IL33, C1orf194, ADH1B, ARHGAP6, KLF15, ME3, MYRIP, LINC00968, KCNB1, FAXDC2, CASC1, FAM107A, KCTD16, CDH19, LDLRAD1, CCBE1, DCDC5, PGM5, EYA4, FXYD1, PPP1R3C, ADAMTS9-AS2, ASB5, BMPR1B, SEMA5A, PI16, DAW1, SP5, LOC100506725, FAM47E, EFCAB1, CASQ2, SLIT2, HSPB7, WFDC1, FLJ30901, SCN2B, MACROD2, MAMDC2, ETV1, ADAMTSL3, ROR1, AR, MAPK4, CCDC178, GALNT16, LINC00472, DIO3OS, RNASE4, CYP4B1, PTGIS, WDR63"]], "row_count": 3, "column_count": 2, "numeric_cells": 2, "header_rows": 1, "locator": "section[11]/table-wrap[1]#t1-medscimonit-26-e921430"}}, {"id": "asset:table:pmid:32304567:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1dacb08a221fff1176650ce7d506e27ed0d4fa76594beebf0e6f897a4943f228", "bytes": 2934, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#t2-medscimonit-26-e921430", "version": null, "note": "Gene ontology analysis of differentially expressed genes in squamous cell lung cancer.", "structure": {"pmcid": "PMC7191965", "section_index": 12, "section_title": "Analysis of GO and KEGG pathway in squamous cell lung cancer", "row_count": 31, "column_count": 7}, "table": {"label": "Table 2", "caption": "Gene ontology analysis of differentially expressed genes in squamous cell lung cancer.", "rows": [["Expression", "Category", "Term", "Count", "%", "p Value", "FDR"], ["Upregulated", "GOTERM_BP_DIRECT", "GO: 0051301 ~ cell division", "33", "15.28", "2.4E-21", "2.2E-18"], ["GOTERM_BP_DIRECT", "GO: 0007067 ~ mitotic nuclear division", "28", "12.96", "1.1E-19", "3.2E-17"], ["GOTERM_BP_DIRECT", "GO: 0007062 ~ sister chromatid cohesion", "22", "10.19", "2.4E-21", "2.2E-18"], ["GOTERM_BP_DIRECT", "GO: 0007059 ~ chromosome segregation", "15", "6.94", "1.2E-14", "2.7E-12"], ["GOTERM_BP_DIRECT", "GO: 0006260 ~ DNA replication", "15", "6.94", "1.2E-9", "2.3E-7"], ["GOTERM_BP_DIRECT", "GO: 0006281 ~ DNA repair", "14", "6.48", "1.5E-6", "1.8E-4"], ["GOTERM_CC_DIRECT", "GO: 0005634 ~ nucleus", "93", "43.06", "1.0E-7", "3.7E-6"], ["GOTERM_CC_DIRECT", "GO: 0005654 ~ nucleoplasm", "61", "28.24", "2.2E-8", "1.0E-6"], ["GOTERM_CC_DIRECT", "GO: 0005737 ~ cytoplasm", "75", "34.72", "2.2E-3", "1.9E-2"], ["GOTERM_CC_DIRECT", "GO: 0005829 ~ cytosol", "53", "24.54", "1.6E-3", "1.7E-2"], ["GOTERM_CC_DIRECT", "GO: 0005576 ~ extracellular region", "28", "12.96", "1.1E-2", "7.5E-2"], ["GOTERM_CC_DIRECT", "GO: 0043565 ~ extracellular space", "21", "9.72", "7.9E-2", "3.2E-1"], ["GOTERM_MF_DIRECT", "GO: 0005515 ~ protein binding", "126", "58.33", "3.4E-6", "4.5E-4"], ["GOTERM_MF_DIRECT", "GO: 0005524 ~ ATP binding", "32", "14.81", "3.0E-4", "1.6E-2"], ["GOTERM_MF_DIRECT", "GO: 0003677 ~ DNA binding", "25", "11.57", "9.1E-2", "6.8E-1"], ["GOTERM_MF_DIRECT", "GO: 0003682 ~ chromatin binding", "18", "8.33", "1.2E-6", "3.1E-4"], ["GOTERM_MF_DIRECT", "GO: 0005509 ~ calcium ion binding", "14", "6.48", "4.7E-2", "5.3E-1"], ["GOTERM_MF_DIRECT", "GO: 0043565 ~ sequence-specific DNA binding", "12", "5.56", "2.5E-2", "3.8E-1"], ["Downregulated", "GOTERM_BP_DIRECT", "GO: 0007155 ~ cell adhesion", "14", "5.24", "3.5E-3", "7.5E-1"], ["GOTERM_BP_DIRECT", "GO: 0055114 ~ oxidation-reduction process", "12", "4.49", "9.7E-2", "9.4E-1"], ["GOTERM_BP_DIRECT", "GO: 0007267 ~ cell-cell signaling", "9", "3.37", "1.1E-2", "7.4E-1"], ["GOTERM_BP_DIRECT", "GO: 0006936 ~ muscle contraction", "8", "3.00", "2.9E-4", "2.9E-1"], ["GOTERM_CC_DIRECT", "GO: 0005576 ~ extracellular region", "37", "13.86", "2.7E-4", "2.9E-2"], ["GOTERM_CC_DIRECT", "GO: 0043565 ~ extracellular space", "29", "10.86", "3.9E-3", "1.2E-1"], ["GOTERM_CC_DIRECT", "GO: 0005622 ~ intracellular", "26", "9.74", "2.1E-2", "3.0E-1"], ["GOTERM_CC_DIRECT", "GO: 0005578 ~ proteinaceous extracellular matrix", "14", "5.24", "2.6E-5", "5.8E-3"], ["GOTERM_MF_DIRECT", "GO: 0005509 ~ calcium ion binding", "23", "8.61", "3.2E-5", "1.2E-2"], ["GOTERM_MF_DIRECT", "GO: 0005102 ~ receptor binding", "9", "3.37", "5.4E-2", "7.8E-1"], ["GOTERM_MF_DIRECT", "GO: 0008201 ~ heparin binding", "10", "3.74", "1.1E-4", "2.0E-2"], ["GOTERM_MF_DIRECT", "GO: 0046983 ~ protein dimerization activity", "6", "2.24", "3.1E-2", "8.6E-1"]], "row_count": 31, "column_count": 7, "numeric_cells": 150, "header_rows": 1, "locator": "section[12]/table-wrap[1]#t2-medscimonit-26-e921430"}}, {"id": "asset:table:pmid:32304567:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:6fa5648542cadcbb9122ee28cae72a73df1453948a3b3786eab6fcb394efd030", "bytes": 643, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[2]#t3-medscimonit-26-e921430", "version": null, "note": "KEEG pathway analysis.", "structure": {"pmcid": "PMC7191965", "section_index": 12, "section_title": "Analysis of GO and KEGG pathway in squamous cell lung cancer", "row_count": 8, "column_count": 5}, "table": {"label": "Table 3", "caption": "KEEG pathway analysis.", "rows": [["Pathway ID", "Name", "Count", "%", "P value"], ["hsa04110", "Cell cycle", "13", "6.01", "2.0E-10"], ["hsa04115", "p53 signaling pathway", "6", "2.78", "2.0E-4"], ["hsa04114", "Oocyte meiosis", "6", "2.78", "2.0E-3"], ["hsa04914", "Progesterone-mediated oocyte maturation", "5", "2.31", "5.3E-3"], ["has03460", "Fanconi anemia pathway", "4", "1.85", "9.0E-3"], ["hsa04020", "Calcium signaling pathway", "6", "2.78", "3.7E-2"], ["has00240", "Pyrimidine metabolism", "4", "1.85", "4.9E-2"]], "row_count": 8, "column_count": 5, "numeric_cells": 29, "header_rows": 1, "locator": "section[12]/table-wrap[2]#t3-medscimonit-26-e921430"}}, {"id": "asset:table:pmid:32304567:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a9cdf6cacc8b2518de4fe2eb28258b9c2e76943f9b3692361dd609ae22432682", "bytes": 887, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[14]/table-wrap[1]#t4-medscimonit-26-e921430", "version": null, "note": "The prognostic information of the 75 key candidate genes.", "structure": {"pmcid": "PMC7191965", "section_index": 14, "section_title": "Analysis of key genes by GEPIA and Kaplan-Meier plotter", "row_count": 3, "column_count": 2}, "table": {"label": "Table 4", "caption": "The prognostic information of the 75 key candidate genes.", "rows": [["Category", "Genes"], ["Genes predicting significantly worse survival (P<0.05)", "MND1, POLE2, CDC6, FOXM1"], ["Genes predicting significantly worse survival (P>0.05)", "KIF23, SKA3, SPC25, ATAD2, CDC45, CASC5, POLQ, CDK1, CCNA2, BIRC5, CDCA2, TTK, NDC80, ASPM, GINS2, CDKN3, TK1, CDT1, OIP5, DEPDC1, CCNB2, RAD54L, CEP55, NCAPG, DIAPH3, SKA1, NEIL3, CENPE, CDCA7, TYMS, KIF15, ANLN, CDCA5, CHEK1, NUF2, KIF18B, SGOL1, CKS2, MAD2L1, NUSAP1, BUB1, UHRF1, CENPN, HMMR, RAD51, KIF14, BUB1B, CDCA8, RRM2, ZWINT, DEPDC1B, KIF18A, FANCI, CENPU, NEK2, SMC4, PBK, ERCC6L, MKI67, MELK, KIF11, CENPF, MCM10, UBE2T, CENPA, RAD51AP1, KIAA0101, DLGAP5, DTL, ARHGAP11A, TOP2A"]], "row_count": 3, "column_count": 2, "numeric_cells": 3, "header_rows": 1, "locator": "section[14]/table-wrap[1]#t4-medscimonit-26-e921430"}}], "gaps": ["asset:data:geo:GSE33479 not downloaded", "asset:data:geo:GSE33479 licence not read", "asset:data:geo:GSE51855 not downloaded", "asset:data:geo:GSE51855 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}, {"id": "method-2", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {"hazard_ratio": "ented with P values and HR as determined by the lo"}, "data_shapes": 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"evidence": {"score": 1.0, "band": "verbatim", "quote": "The strength of the relationship of gene expression with level of immune infiltration was evaluated via Pearson’s correlation using absolute values as follows: 0.80–1.0 is “very strong”, 0.60–0.79 is “strong”, 0.40–0.59 is “moderate”, 0.20–0.39 is “weak”, and 0.00–0.19 is “very weak” [29]."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": 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