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pmid:31086582

A prognostic prediction system for hepatocellular carcinoma based on gene co-expression network.

Lianyue Guan · Qiang Luo · Na Liang · Hongyu Liu

Experimental and therapeutic medicine · 2019 doi:10.3892/etm.2019.7494

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title
A prognostic prediction system for hepatocellular carcinoma based on gene co-expression network.
doi
10.3892/etm.2019.7494
pmid
31086582
authors array · 4 items
[0]
Lianyue Guan
[1]
Qiang Luo
[2]
Na Liang
[3]
Hongyu Liu
journal
Experimental and therapeutic medicine
year
2019
abstract
In the present study, gene expression data of hepatocellular carcinoma (HCC) were analyzed by using a multi-step Bioinformatics approach to establish a novel prognostic prediction system. Gene expression profiles were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The overlapping differentially expressed genes (DEGs) between these two datasets were identified using the limma package in R. Prognostic genes were further identified by Cox regression using the survival package. The significantly co-expressed gene pairs were selected using the R function cor to construct the co-expression network. Functional and module analyses were also performed. Next, a prognostic prediction system was established by Bayes discriminant analysis using the discriminant.bayes function in the e1071 package, which was further validated in another independent GEO dataset. A total of 177 overlapping DEGs were identified from TCGA and the GEO dataset (GSE36376). Furthermore, 161 prognostic genes were selected and the top six were stanniocalcin 2, carbonic anhydrase 12, cell division cycle (CDC) 20, deoxyribonuclease 1 like 3, glucosylceramidase β3 and metallothionein 1G. A gene co-expression network involving 41 upregulated and 52 downregulated genes was constructed. SPC24, endothelial cell specific molecule 1, CDC20, CDCA3, cyclin (CCN) E1 and chromatin licensing and DNA replication factor 1 were significantly associated with cell division, mitotic cell cycle and positive regulation of cell proliferation. CCNB1, CCNE1, CCNB2 and stratifin were clearly associated with the p53 signaling pathway. A prognostic prediction system containing 55 signature genes was established and then validated in the GEO dataset GSE20140. In conclusion, the present study identified a number of prognostic genes and established a prediction system to assess the prognosis of HCC patients.
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These data were used to screen prognostic genes from the overlapping DEGs using Cox regression (26) from the survival package of R.
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sections[6] "Screening of prognostic genes" paragraph 2
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These data were used to screen prognostic genes from the overlapping DEGs using Cox regression (26) from the survival package of R.
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The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
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sample_count
620
group_sizes
null
group_sizes_basis
null
platform
18461;5474;8432
taxon
Homo sapiens
title
Combining Clinical, Pathology, and Gene Expression Data to Predict Recurrence of Hepatocellular Carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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note
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
structure object · 15 fields
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sample_count
433
group_sizes
null
group_sizes_basis
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platform
10558
taxon
Homo sapiens
title
Gene Expression Profiles of both tumor and adjacent non-tumor liver Identify Hepatocellular Carcinoma Patients at High Risk of Recurrence after Curative Hepatectomy
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 · 16 fields
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asset:table:pmid:31086582:1
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jats-table
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read_table
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section[16]/table-wrap[1]#tIII-etm-0-0-7494
version
null
note
The 55 signature genes involved in the prognostic prediction system.
structure object · 5 fields
pmcid
PMC6489019
section_index
9
section_title
Prognostic prediction system
row_count
63
column_count
4
table object · 8 fields
label
Table III.
caption
The 55 signature genes involved in the prognostic prediction system.
rows array · 63 items
[0] array · 1 item
[0]
A, Upregulated genes
[1] array · 1 item
[0]
[2] array · 4 items
[0]
Gene
[1]
logFC
[2]
P-value
[3]
FDR
[3] array · 4 items
[0]
SPC24
[1]
1.777
[2]
8.57×10−33
[3]
2.66×10−30
[4] array · 4 items
[0]
TGM3
[1]
1.396
[2]
4.38×10−35
[3]
1.96×10−32
[5] array · 4 items
[0]
KIF20A
[1]
1.173
[2]
2.42×10−30
[3]
5.74×10−28
[6] array · 4 items
[0]
ESM1
[1]
1.162
[2]
6.50×10−30
[3]
1.40×10−27
[7] array · 4 items
[0]
CDC20
[1]
1.106
[2]
1.51×10−30
[3]
3.88×10−28
[8] array · 4 items
[0]
CDCA3
[1]
1.018
[2]
3.84×10−23
[3]
4.22×10−21
[9] array · 4 items
[0]
CCNE1
[1]
0.964
[2]
4.97×10−19
[3]
3.47×10−17
[10] array · 4 items
[0]
TNFRSF4
[1]
0.949
[2]
8.28×10−19
[3]
5.59×10−17
[11] array · 4 items
[0]
COL15A1
[1]
0.942
[2]
2.28×10−25
[3]
3.00×10−23
[12] array · 4 items
[0]
CELSR3
[1]
0.921
[2]
1.59×10−19
[3]
1.16×10−17
[13] array · 4 items
[0]
CEP55
[1]
0.920
[2]
1.99×10−17
[3]
1.19×10−15
[14] array · 4 items
[0]
CDT1
[1]
0.860
[2]
4.43×10−20
[3]
3.41×10−18
[15] array · 4 items
[0]
C16orf59
[1]
0.846
[2]
1.13×10−16
[3]
6.18×10−15
[16] array · 4 items
[0]
MUC13
[1]
0.800
[2]
1.07×10−19
[3]
7.93×10−18
[17] array · 4 items
[0]
GPC3
[1]
0.778
[2]
9.91×10−26
[3]
1.36×10−23
[18] array · 4 items
[0]
MMP11
[1]
0.723
[2]
2.34×10−16
[3]
1.24×10−14
[19] array · 4 items
[0]
IGF2BP3
[1]
0.702
[2]
2.73×10−12
[3]
1.04×10−10
[20] array · 4 items
[0]
STC2
[1]
0.687
[2]
1.29×10−13
[3]
5.67×10−12
[21] array · 4 items
[0]
RAD51AP1
[1]
0.672
[2]
3.06×10−11
[3]
1.05×10−9
[22] array · 4 items
[0]
CCNB1
[1]
0.653
[2]
1.50×10−14
[3]
7.08×10−13
[23] array · 4 items
[0]
STIL
[1]
0.622
[2]
1.95×10−10
[3]
6.11×10−9
[24] array · 4 items
[0]
CA12
[1]
0.615
[2]
9.69×10−11
[3]
3.15×10−9
[25] array · 4 items
[0]
PNMA3
[1]
0.550
[2]
8.68×10−7
[3]
1.55×10−5
[26] array · 4 items
[0]
POLE2
[1]
0.540
[2]
4.99×10−8
[3]
1.07×10−6
[27] array · 4 items
[0]
FOXD2
[1]
0.534
[2]
3.59×10−7
[3]
6.83×10−6
[28] array · 4 items
[0]
MSX1
[1]
0.531
[2]
4.53×10−7
[3]
8.45×10−6
[29] array · 4 items
[0]
ITPKA
[1]
0.525
[2]
1.77×10−8
[3]
4.16×10−7
[30] array · 4 items
[0]
ACTG2
[1]
0.525
[2]
3.01×10−8
[3]
6.78×10−7
[31] array · 4 items
[0]
AKR1B10
[1]
0.514
[2]
7.73×10−13
[3]
3.14×10−11
[32] array · 1 item
[0]
[33] array · 1 item
[0]
B, Downregulated genes
[34] array · 1 item
[0]
[35] array · 4 items
[0]
Gene
[1]
logFC
[2]
P-value
[3]
FDR
[36] array · 1 item
[0]
[37] array · 4 items
[0]
CYP4A22
[1]
−0.492
[2]
2.25×10−12
[3]
8.69×10−11
[38] array · 4 items
[0]
TMEM82
[1]
−0.519
[2]
5.69×10−13
[3]
2.36×10−11
[39] array · 4 items
[0]
GLYAT
[1]
−0.536
[2]
1.39×10−16
[3]
7.57×10−15
[40] array · 4 items
[0]
GBA3
[1]
−0.546
[2]
1.40×10−15
[3]
7.17×10−14
[41] array · 4 items
[0]
APOF
[1]
−0.555
[2]
1.52×10−18
[3]
1.00×10−16
[42] array · 4 items
[0]
SLC22A1
[1]
−0.565
[2]
1.50×10−20
[3]
1.23×10−18
[43] array · 4 items
[0]
DNASE1L3
[1]
−0.580
[2]
4.07×10−17
[3]
2.31×10−15
[44] array · 4 items
[0]
ECM1
[1]
−0.591
[2]
7.68×10−17
[3]
4.26×10−15
[45] array · 4 items
[0]
CETP
[1]
−0.602
[2]
1.68×10−15
[3]
8.57×10−14
[46] array · 4 items
[0]
GLS2
[1]
−0.603
[2]
6.99×10−20
[3]
5.35×10−18
[47] array · 4 items
[0]
GREM2
[1]
−0.614
[2]
1.99×10−16
[3]
1.06×10−14
[48] array · 4 items
[0]
AADAT
[1]
−0.615
[2]
2.46×10−17
[3]
1.42×10−15
[49] array · 4 items
[0]
MME
[1]
−0.616
[2]
6.41×10−17
[3]
3.57×10−15
[50] array · 4 items
[0]
SRD5A2
[1]
−0.650
[2]
5.30×10−19
[3]
3.64×10−17
[51] array · 4 items
[0]
C9
[1]
−0.655
[2]
7.70×10−28
[3]
1.33×10−25
[52] array · 4 items
[0]
CLRN3
[1]
−0.701
[2]
2.09×10−20
[3]
1.68×10−18
[53] array · 4 items
[0]
IGFALS
[1]
−0.716
[2]
7.36×10−26
[3]
1.03×10−23
[54] array · 4 items
[0]
TMEM27
[1]
−0.730
[2]
5.13×10−21
[3]
4.37×10−19
[55] array · 4 items
[0]
ASPG
[1]
−0.735
[2]
1.68×10−25
[3]
2.26×10−23
[56] array · 4 items
[0]
SRPX
[1]
−0.763
[2]
7.97×10−21
[3]
6.69×10−19
[57] array · 4 items
[0]
MYOM2
[1]
−0.784
[2]
3.33×10−18
[3]
2.13×10−16
[58] array · 4 items
[0]
MT1F
[1]
−0.846
[2]
1.21×10−34
[3]
5.04×10−32
[59] array · 4 items
[0]
PTH1R
[1]
−0.866
[2]
3.18×10−28
[3]
5.82×10−26
[60] array · 4 items
[0]
FCN3
[1]
−0.978
[2]
1.24×10−42
[3]
9.37×10−40
[61] array · 4 items
[0]
HAMP
[1]
−1.052
[2]
2.53×10−55
[3]
2.78×10−52
[62] array · 4 items
[0]
MT1H
[1]
−1.425
[2]
5.74×10−76
[3]
6.94×10−72
locator
section[16]/table-wrap[1]#tIII-etm-0-0-7494
[4] object · 16 fields
id
asset:table:pmid:31086582:2
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table
format
jats-table
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application/vnd.jats.table+json
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null
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sha256:32512e0e521abcb5d8c8f600dcd03b8da118e489802be4d691ca08204b05f087
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section[15]/table-wrap[1]#tI-etm-0-0-7494
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note
GO functional terms enriched by the prognostic genes in the co-expression network.
structure object · 5 fields
pmcid
PMC6489019
section_index
15
section_title
Gene co-expression network
row_count
22
column_count
4
table object · 8 fields
label
Table I.
caption
GO functional terms enriched by the prognostic genes in the co-expression network.
rows array · 22 items
[0] array · 4 items
[0]
Category/term
[1]
Count
[2]
P-value
[3]
Genes
[1] array · 1 item
[0]
Biological process
[2] array · 4 items
[0]
GO:0051301~cell division
[1]
19
[2]
2.29×10−13
[3]
CDC7, KIFC1, NEK2, AURKA, CDC20, PTTG1, CDC25A, SPC24, FAM83D, CCNB1, CCNE1, CDCA8, CCNB2, NCAPG, BUB1, CENPW, CDCA5, CCNA2, CDCA3
[3] array · 4 items
[0]
GO:0007067~mitotic nuclear division
[1]
16
[2]
2.760×10−12
[3]
NEK2, CDC20, AURKA, PBK, AURKB, CEP55, PTTG1, CDC25A, SPC24, FAM83D, CCNB2, BUB1, CENPW, CDCA5, CCNA2, CDCA3
[4] array · 4 items
[0]
GO:0000082~G1/S transition of mitotic cell cycle
[1]
8
[2]
1.05×10−6
[3]
CDC7, CCNE1, CDC45, POLE2, CDKN3, CDCA5, CDC25A, CDT1
[5] array · 4 items
[0]
GO:0007062~sister chromatid cohesion
[1]
7
[2]
1.66×10−5
[3]
SPC24, CDCA8, CENPL, BUB1, CDC20, AURKB, CDCA5
[6] array · 4 items
[0]
GO:0006260~DNA replication
[1]
7
[2]
1.63×10−4
[3]
CDC7, CDC45, POLE2, CHAF1B, CDC25A, DSCC1, CDT1
[7] array · 4 items
[0]
GO:0008284~positive regulation of cell proliferation
[1]
7
[2]
3.56×10−2
[3]
CDC7, PRC1, PTH1R, PDGFRA, CDC20, ESM1, VIPR1
[8] array · 4 items
[0]
GO:0071276~cellular response to cadmium ion
[1]
6
[2]
2.07×10−8
[3]
MT1A, CYP1A2, MT1H, MT1X, MT1G, MT1F
[9] array · 4 items
[0]
GO:0000086~G2/M transition of mitotic cell cycle
[1]
6
[2]
7.65×10−4
[3]
CCNB1, CCNB2, NEK2, AURKA, CDC25A, HMMR
[10] array · 4 items
[0]
GO:0006281~DNA repair
[1]
6
[2]
7.87×10−3
[3]
RAD51AP1, POLE2, PTTG1, CHAF1B, UBE2T, RAD51
[11] array · 4 items
[0]
GO:0008283~cell proliferation Cellular component
[1]
6
[2]
4.32×10−2
[3]
FAM83D, STIL, DLGAP5, BUB1, AURKB, CDC25A
[12] array · 4 items
[0]
GO:0005654~nucleoplasm
[1]
26
[2]
1.40×10−3
[3]
PRC1, AURKA, AURKB, CDT1, CCNE1, CDC45, CDCA8, POLE2, BUB1, THRSP, CCNA2, CDCA5, TOP2A, CDC7, RAD51AP1, CENPL, CDC20, CDC25A, RAD51, CCNB1, CCNB2, CENPW, CHAF1B, UBE2T, DSCC1, KIF20A
[13] array · 4 items
[0]
GO:0005576~extracellular region
[1]
14
[2]
4.86×10−2
[3]
C7, CNDP1, HSD17B13, COL15A1, CCL19, DCN, ESM1, ECM1, GREM2, DNASE1L3, MMP11, LPA, APOF, MFAP4
[14] array · 4 items
[0]
GO:0005813~centrosome
[1]
9
[2]
1.13×10−3
[3]
CCNB1, STIL, CDC45, CCNB2, NCAPG, NEK2, AURKA, CDC20, CEP55
[15] array · 4 items
[0]
GO:0048471~perinuclear region of cytoplasm
[1]
9
[2]
1.09×10−2
[3]
MT1A, AURKA, CDC20, CDKN3, MT1H, MT1X, MT1G, RAD51, MT1F
[16] array · 4 items
[0]
GO:0030496~midbody
[1]
8
[2]
3.22×10−6
[3]
CDCA8, PRC1, NEK2, AURKA, CEP55, AURKB, ECT2, KIF20A
[17] array · 4 items
[0]
GO:0005819~spindle
[1]
6
[2]
3.16×10−4
[3]
KIFC1, PRC1, AURKA, CDC20, AURKB, KIF20A
[18] array · 1 item
[0]
Molecular function
[19] array · 4 items
[0]
GO:0019901~protein kinase binding
[1]
9
[2]
7.10×10−4
[3]
CCNB1, FAM83D, CCNE1, PRC1, AURKA, SFN, CCNA2, CDC25A, KIF20A
[20] array · 4 items
[0]
GO:0004672~protein kinase activity
[1]
7
[2]
1.06×10−2
[3]
CDC7, NEK2, PDGFRA, BUB1, AURKA, PBK, AURKB
[21] array · 4 items
[0]
GO:0004674~protein serine/threonine kinase activity
[1]
6
[2]
4.48×10−2
[3]
CDC7, NEK2, BUB1, AURKA, PBK, AURKB
locator
section[15]/table-wrap[1]#tI-etm-0-0-7494
[5] object · 16 fields
id
asset:table:pmid:31086582:3
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table
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jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:710f5922ba04d53987646b4efd73b9f9081b4e74f6e924c788079a77c6e5e8cf
bytes
875
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open
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verified
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read_table
reader_status
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identifier
section[15]/table-wrap[2]#tII-etm-0-0-7494
version
null
note
Significantly enriched pathways for the prognostic genes in the co-expression network.
structure object · 5 fields
pmcid
PMC6489019
section_index
15
section_title
Gene co-expression network
row_count
8
column_count
4
table object · 8 fields
label
Table II.
caption
Significantly enriched pathways for the prognostic genes in the co-expression network.
rows array · 8 items
[0] array · 4 items
[0]
Term
[1]
Count
[2]
P-value
[3]
Genes
[1] array · 4 items
[0]
hsa04110:Cell cycle
[1]
11
[2]
4.51×10−9
[3]
CCNB1, CDC7, CCNE1, CDC45, CCNB2, BUB1, CDC20, PTTG1, SFN, CCNA2, CDC25A
[2] array · 4 items
[0]
hsa04978:Mineral absorption
[1]
5
[2]
2.10×10−4
[3]
MT1A, MT1H, MT1X, MT1G, MT1F
[3] array · 4 items
[0]
hsa04115:p53 signaling pathway
[1]
4
[2]
9.25×10−3
[3]
CCNB1, CCNE1, CCNB2, SFN
[4] array · 4 items
[0]
hsa00380:Tryptophan metabolism
[1]
3
[2]
2.77×10−2
[3]
AADAT, CYP1A2, INMT
[5] array · 4 items
[0]
hsa00232:Caffeine metabolism
[1]
2
[2]
3.22×10−2
[3]
NAT2, CYP1A2
[6] array · 4 items
[0]
hsa00140:Steroid hormone biosynthesis
[1]
3
[2]
3.45×10−2
[3]
CYP3A4, SRD5A2, CYP1A2
[7] array · 4 items
[0]
hsa05204:Chemical carcinogenesis
[1]
3
[2]
4.53×10−2
[3]
CYP3A4, NAT2, CYP1A2
locator
section[15]/table-wrap[2]#tII-etm-0-0-7494
[6] object · 16 fields
id
asset:table:pmid:31086582:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:ee1449538557ef9d0579215cf2937fa27e8c97be65c0799bdf72d501cf6b477a
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3190
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verified
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read_table
reader_status
available
identifier
section[16]/table-wrap[1]#tIII-etm-0-0-7494
version
null
note
The 55 signature genes involved in the prognostic prediction system.
structure object · 5 fields
pmcid
PMC6489019
section_index
16
section_title
Prognostic prediction system
row_count
63
column_count
4
table object · 8 fields
label
Table III.
caption
The 55 signature genes involved in the prognostic prediction system.
rows array · 63 items
[0] array · 1 item
[0]
A, Upregulated genes
[1] array · 1 item
[0]
[2] array · 4 items
[0]
Gene
[1]
logFC
[2]
P-value
[3]
FDR
[3] array · 4 items
[0]
SPC24
[1]
1.777
[2]
8.57×10−33
[3]
2.66×10−30
[4] array · 4 items
[0]
TGM3
[1]
1.396
[2]
4.38×10−35
[3]
1.96×10−32
[5] array · 4 items
[0]
KIF20A
[1]
1.173
[2]
2.42×10−30
[3]
5.74×10−28
[6] array · 4 items
[0]
ESM1
[1]
1.162
[2]
6.50×10−30
[3]
1.40×10−27
[7] array · 4 items
[0]
CDC20
[1]
1.106
[2]
1.51×10−30
[3]
3.88×10−28
[8] array · 4 items
[0]
CDCA3
[1]
1.018
[2]
3.84×10−23
[3]
4.22×10−21
[9] array · 4 items
[0]
CCNE1
[1]
0.964
[2]
4.97×10−19
[3]
3.47×10−17
[10] array · 4 items
[0]
TNFRSF4
[1]
0.949
[2]
8.28×10−19
[3]
5.59×10−17
[11] array · 4 items
[0]
COL15A1
[1]
0.942
[2]
2.28×10−25
[3]
3.00×10−23
[12] array · 4 items
[0]
CELSR3
[1]
0.921
[2]
1.59×10−19
[3]
1.16×10−17
[13] array · 4 items
[0]
CEP55
[1]
0.920
[2]
1.99×10−17
[3]
1.19×10−15
[14] array · 4 items
[0]
CDT1
[1]
0.860
[2]
4.43×10−20
[3]
3.41×10−18
[15] array · 4 items
[0]
C16orf59
[1]
0.846
[2]
1.13×10−16
[3]
6.18×10−15
[16] array · 4 items
[0]
MUC13
[1]
0.800
[2]
1.07×10−19
[3]
7.93×10−18
[17] array · 4 items
[0]
GPC3
[1]
0.778
[2]
9.91×10−26
[3]
1.36×10−23
[18] array · 4 items
[0]
MMP11
[1]
0.723
[2]
2.34×10−16
[3]
1.24×10−14
[19] array · 4 items
[0]
IGF2BP3
[1]
0.702
[2]
2.73×10−12
[3]
1.04×10−10
[20] array · 4 items
[0]
STC2
[1]
0.687
[2]
1.29×10−13
[3]
5.67×10−12
[21] array · 4 items
[0]
RAD51AP1
[1]
0.672
[2]
3.06×10−11
[3]
1.05×10−9
[22] array · 4 items
[0]
CCNB1
[1]
0.653
[2]
1.50×10−14
[3]
7.08×10−13
[23] array · 4 items
[0]
STIL
[1]
0.622
[2]
1.95×10−10
[3]
6.11×10−9
[24] array · 4 items
[0]
CA12
[1]
0.615
[2]
9.69×10−11
[3]
3.15×10−9
[25] array · 4 items
[0]
PNMA3
[1]
0.550
[2]
8.68×10−7
[3]
1.55×10−5
[26] array · 4 items
[0]
POLE2
[1]
0.540
[2]
4.99×10−8
[3]
1.07×10−6
[27] array · 4 items
[0]
FOXD2
[1]
0.534
[2]
3.59×10−7
[3]
6.83×10−6
[28] array · 4 items
[0]
MSX1
[1]
0.531
[2]
4.53×10−7
[3]
8.45×10−6
[29] array · 4 items
[0]
ITPKA
[1]
0.525
[2]
1.77×10−8
[3]
4.16×10−7
[30] array · 4 items
[0]
ACTG2
[1]
0.525
[2]
3.01×10−8
[3]
6.78×10−7
[31] array · 4 items
[0]
AKR1B10
[1]
0.514
[2]
7.73×10−13
[3]
3.14×10−11
[32] array · 1 item
[0]
[33] array · 1 item
[0]
B, Downregulated genes
[34] array · 1 item
[0]
[35] array · 4 items
[0]
Gene
[1]
logFC
[2]
P-value
[3]
FDR
[36] array · 1 item
[0]
[37] array · 4 items
[0]
CYP4A22
[1]
−0.492
[2]
2.25×10−12
[3]
8.69×10−11
[38] array · 4 items
[0]
TMEM82
[1]
−0.519
[2]
5.69×10−13
[3]
2.36×10−11
[39] array · 4 items
[0]
GLYAT
[1]
−0.536
[2]
1.39×10−16
[3]
7.57×10−15
[40] array · 4 items
[0]
GBA3
[1]
−0.546
[2]
1.40×10−15
[3]
7.17×10−14
[41] array · 4 items
[0]
APOF
[1]
−0.555
[2]
1.52×10−18
[3]
1.00×10−16
[42] array · 4 items
[0]
SLC22A1
[1]
−0.565
[2]
1.50×10−20
[3]
1.23×10−18
[43] array · 4 items
[0]
DNASE1L3
[1]
−0.580
[2]
4.07×10−17
[3]
2.31×10−15
[44] array · 4 items
[0]
ECM1
[1]
−0.591
[2]
7.68×10−17
[3]
4.26×10−15
[45] array · 4 items
[0]
CETP
[1]
−0.602
[2]
1.68×10−15
[3]
8.57×10−14
[46] array · 4 items
[0]
GLS2
[1]
−0.603
[2]
6.99×10−20
[3]
5.35×10−18
[47] array · 4 items
[0]
GREM2
[1]
−0.614
[2]
1.99×10−16
[3]
1.06×10−14
[48] array · 4 items
[0]
AADAT
[1]
−0.615
[2]
2.46×10−17
[3]
1.42×10−15
[49] array · 4 items
[0]
MME
[1]
−0.616
[2]
6.41×10−17
[3]
3.57×10−15
[50] array · 4 items
[0]
SRD5A2
[1]
−0.650
[2]
5.30×10−19
[3]
3.64×10−17
[51] array · 4 items
[0]
C9
[1]
−0.655
[2]
7.70×10−28
[3]
1.33×10−25
[52] array · 4 items
[0]
CLRN3
[1]
−0.701
[2]
2.09×10−20
[3]
1.68×10−18
[53] array · 4 items
[0]
IGFALS
[1]
−0.716
[2]
7.36×10−26
[3]
1.03×10−23
[54] array · 4 items
[0]
TMEM27
[1]
−0.730
[2]
5.13×10−21
[3]
4.37×10−19
[55] array · 4 items
[0]
ASPG
[1]
−0.735
[2]
1.68×10−25
[3]
2.26×10−23
[56] array · 4 items
[0]
SRPX
[1]
−0.763
[2]
7.97×10−21
[3]
6.69×10−19
[57] array · 4 items
[0]
MYOM2
[1]
−0.784
[2]
3.33×10−18
[3]
2.13×10−16
[58] array · 4 items
[0]
MT1F
[1]
−0.846
[2]
1.21×10−34
[3]
5.04×10−32
[59] array · 4 items
[0]
PTH1R
[1]
−0.866
[2]
3.18×10−28
[3]
5.82×10−26
[60] array · 4 items
[0]
FCN3
[1]
−0.978
[2]
1.24×10−42
[3]
9.37×10−40
[61] array · 4 items
[0]
HAMP
[1]
−1.052
[2]
2.53×10−55
[3]
2.78×10−52
[62] array · 4 items
[0]
MT1H
[1]
−1.425
[2]
5.74×10−76
[3]
6.94×10−72
locator
section[16]/table-wrap[1]#tIII-etm-0-0-7494
gaps array · 4 items
[0]
asset:data:geo:GSE20140 not downloaded
[1]
asset:data:geo:GSE20140 licence not read
[2]
asset:data:geo:GSE36376 not downloaded
[3]
asset:data:geo:GSE36376 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
These data were used to screen prognostic genes from the overlapping DEGs using Cox regression (26) from the survival package of R.
[1] object · 10 fields
id
method-2
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
0.7
band
medium
quote
limma
targets array · 0 items
gaps array · 0 items
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]
cox_ph
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: cox_proportional_hazards.
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]
GSE36376
[1]
GSE20140
resolved_accessions array · 2 items
[0]
GSE36376
[1]
GSE20140
statements array · 1 item
[0]
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
basis
The paper names GSE36376, GSE20140 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 6 items
[0]
source:pmid:31086582
[1]
data:geo:GSE20140
[2]
asset:table:pmid:31086582:1
[3]
asset:table:pmid:31086582:2
[4]
asset:table:pmid:31086582:3
[5]
asset:table:pmid:31086582:4
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE20140
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:14:39Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
31975
completion_tokens
1465
cached_tokens
792
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:31086582
type
paper
label
pmid:31086582
[1] object · 3 fields
id
source:pmid:31086582
type
manuscript
label
PMID 31086582 full text
[2] object · 3 fields
id
data:geo:GSE20140
type
dataset
label
GEO GSE20140
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:31086582
type
paper
label
pmid:31086582
[1] object · 3 fields
id
source:pmid:31086582
type
manuscript
label
PMID 31086582 full text
[2] object · 3 fields
id
data:geo:GSE20140
type
dataset
label
GEO GSE20140
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31086582
type
extraction
used array · 1 item
[0]
source:pmid:31086582
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE20140
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE20140
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:31086582
parent_hash
sha256:cb5a53a7d717011049318d2df5e3801d085dc22afce7612e83a4ef807e8bce2a
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE20140 licence not read
[1]
asset:data:geo:GSE20140 not downloaded
[2]
asset:data:geo:GSE36376 licence not read
[3]
asset:data:geo:GSE36376 not downloaded
[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
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cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
These data were used to screen prognostic genes from the overlapping DEGs using Cox regression (26) from the survival package of R.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31086582", "kind": "science-record", "revision": 7, "content_hash": "sha256:20d83a2233846ef4ce4687bae6f4fb57ca174d65a91fad7ebfd8534088fc4b47", "created_at": "2026-11-01T15:40:45Z", "updated_at": "2026-11-01T22:00:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A prognostic prediction system for hepatocellular carcinoma based on gene co-expression network.", "doi": "10.3892/etm.2019.7494", "pmid": "31086582", "authors": ["Lianyue Guan", "Qiang Luo", "Na Liang", "Hongyu Liu"], "journal": "Experimental and therapeutic medicine", "year": 2019, "abstract": "In the present study, gene expression data of hepatocellular carcinoma (HCC) were analyzed by using a multi-step Bioinformatics approach to establish a novel prognostic prediction system. Gene expression profiles were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The overlapping differentially expressed genes (DEGs) between these two datasets were identified using the limma package in R. Prognostic genes were further identified by Cox regression using the survival package. The significantly co-expressed gene pairs were selected using the R function cor to construct the co-expression network. Functional and module analyses were also performed. Next, a prognostic prediction system was established by Bayes discriminant analysis using the discriminant.bayes function in the e1071 package, which was further validated in another independent GEO dataset. A total of 177 overlapping DEGs were identified from TCGA and the GEO dataset (GSE36376). Furthermore, 161 prognostic genes were selected and the top six were stanniocalcin 2, carbonic anhydrase 12, cell division cycle (CDC) 20, deoxyribonuclease 1 like 3, glucosylceramidase β3 and metallothionein 1G. A gene co-expression network involving 41 upregulated and 52 downregulated genes was constructed. SPC24, endothelial cell specific molecule 1, CDC20, CDCA3, cyclin (CCN) E1 and chromatin licensing and DNA replication factor 1 were significantly associated with cell division, mitotic cell cycle and positive regulation of cell proliferation. CCNB1, CCNE1, CCNB2 and stratifin were clearly associated with the p53 signaling pathway. A prognostic prediction system containing 55 signature genes was established and then validated in the GEO dataset GSE20140. In conclusion, the present study identified a number of prognostic genes and established a prediction system to assess the prognosis of HCC patients.", "claims": [{"id": "claim-method", "statement": "These data were used to screen prognostic genes from the overlapping DEGs using Cox regression (26) from the survival package of R.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31086582", "locator": "sections[6] \"Screening of prognostic genes\" paragraph 2", "quote": "These data were used to screen prognostic genes from the overlapping DEGs using Cox regression (26) from the survival package of R."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31086582", "locator": "sections[21] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request."}], "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:31086582"], "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:GSE20140"], "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:GSE20140"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31086582", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/etm.2019.7494", "sha256": 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3190, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#tIII-etm-0-0-7494", "version": null, "note": "The 55 signature genes involved in the prognostic prediction system.", "structure": {"pmcid": "PMC6489019", "section_index": 9, "section_title": "Prognostic prediction system", "row_count": 63, "column_count": 4}, "table": {"label": "Table III.", "caption": "The 55 signature genes involved in the prognostic prediction system.", "rows": [["A, Upregulated genes"], [""], ["Gene", "logFC", "P-value", "FDR"], ["SPC24", "1.777", "8.57×10−33", "2.66×10−30"], ["TGM3", "1.396", "4.38×10−35", "1.96×10−32"], ["KIF20A", "1.173", "2.42×10−30", "5.74×10−28"], ["ESM1", "1.162", "6.50×10−30", "1.40×10−27"], ["CDC20", "1.106", "1.51×10−30", "3.88×10−28"], ["CDCA3", "1.018", "3.84×10−23", "4.22×10−21"], ["CCNE1", "0.964", "4.97×10−19", "3.47×10−17"], ["TNFRSF4", "0.949", "8.28×10−19", "5.59×10−17"], ["COL15A1", "0.942", "2.28×10−25", "3.00×10−23"], ["CELSR3", "0.921", "1.59×10−19", "1.16×10−17"], ["CEP55", "0.920", "1.99×10−17", "1.19×10−15"], ["CDT1", "0.860", "4.43×10−20", "3.41×10−18"], ["C16orf59", "0.846", "1.13×10−16", "6.18×10−15"], ["MUC13", "0.800", "1.07×10−19", "7.93×10−18"], ["GPC3", "0.778", "9.91×10−26", "1.36×10−23"], ["MMP11", "0.723", "2.34×10−16", "1.24×10−14"], ["IGF2BP3", "0.702", "2.73×10−12", "1.04×10−10"], ["STC2", "0.687", "1.29×10−13", "5.67×10−12"], ["RAD51AP1", "0.672", "3.06×10−11", "1.05×10−9"], ["CCNB1", "0.653", "1.50×10−14", "7.08×10−13"], ["STIL", "0.622", "1.95×10−10", "6.11×10−9"], ["CA12", "0.615", "9.69×10−11", "3.15×10−9"], ["PNMA3", "0.550", "8.68×10−7", "1.55×10−5"], ["POLE2", "0.540", "4.99×10−8", "1.07×10−6"], ["FOXD2", "0.534", "3.59×10−7", "6.83×10−6"], ["MSX1", "0.531", "4.53×10−7", "8.45×10−6"], ["ITPKA", "0.525", "1.77×10−8", "4.16×10−7"], ["ACTG2", "0.525", "3.01×10−8", "6.78×10−7"], ["AKR1B10", "0.514", "7.73×10−13", "3.14×10−11"], [""], ["B, Downregulated genes"], [""], ["Gene", "logFC", "P-value", "FDR"], [""], ["CYP4A22", "−0.492", "2.25×10−12", "8.69×10−11"], ["TMEM82", "−0.519", "5.69×10−13", "2.36×10−11"], ["GLYAT", "−0.536", "1.39×10−16", "7.57×10−15"], ["GBA3", "−0.546", "1.40×10−15", "7.17×10−14"], ["APOF", "−0.555", "1.52×10−18", "1.00×10−16"], ["SLC22A1", "−0.565", "1.50×10−20", "1.23×10−18"], ["DNASE1L3", "−0.580", "4.07×10−17", "2.31×10−15"], ["ECM1", "−0.591", "7.68×10−17", "4.26×10−15"], ["CETP", "−0.602", "1.68×10−15", "8.57×10−14"], ["GLS2", "−0.603", "6.99×10−20", "5.35×10−18"], ["GREM2", "−0.614", "1.99×10−16", "1.06×10−14"], ["AADAT", "−0.615", "2.46×10−17", "1.42×10−15"], ["MME", "−0.616", "6.41×10−17", "3.57×10−15"], ["SRD5A2", "−0.650", "5.30×10−19", "3.64×10−17"], ["C9", "−0.655", "7.70×10−28", "1.33×10−25"], ["CLRN3", "−0.701", "2.09×10−20", "1.68×10−18"], ["IGFALS", "−0.716", "7.36×10−26", "1.03×10−23"], ["TMEM27", "−0.730", "5.13×10−21", "4.37×10−19"], ["ASPG", "−0.735", "1.68×10−25", "2.26×10−23"], ["SRPX", "−0.763", "7.97×10−21", "6.69×10−19"], ["MYOM2", "−0.784", "3.33×10−18", "2.13×10−16"], ["MT1F", "−0.846", "1.21×10−34", "5.04×10−32"], ["PTH1R", "−0.866", "3.18×10−28", "5.82×10−26"], ["FCN3", "−0.978", "1.24×10−42", "9.37×10−40"], ["HAMP", "−1.052", "2.53×10−55", "2.78×10−52"], ["MT1H", "−1.425", "5.74×10−76", "6.94×10−72"]], "row_count": 63, "column_count": 4, "numeric_cells": 180, "header_rows": 3, "locator": "section[16]/table-wrap[1]#tIII-etm-0-0-7494"}}, {"id": "asset:table:pmid:31086582:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:32512e0e521abcb5d8c8f600dcd03b8da118e489802be4d691ca08204b05f087", "bytes": 2717, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[15]/table-wrap[1]#tI-etm-0-0-7494", "version": null, "note": "GO functional terms enriched by the prognostic genes in the co-expression network.", "structure": {"pmcid": "PMC6489019", "section_index": 15, "section_title": "Gene co-expression network", "row_count": 22, "column_count": 4}, "table": {"label": "Table I.", "caption": "GO functional terms enriched by the prognostic genes in the co-expression network.", "rows": [["Category/term", "Count", "P-value", "Genes"], ["Biological process"], ["GO:0051301~cell division", "19", "2.29×10−13", "CDC7, KIFC1, NEK2, AURKA, CDC20, PTTG1, CDC25A, SPC24, FAM83D, CCNB1, CCNE1, CDCA8, CCNB2, NCAPG, BUB1, CENPW, CDCA5, CCNA2, CDCA3"], ["GO:0007067~mitotic nuclear division", "16", "2.760×10−12", "NEK2, CDC20, AURKA, PBK, AURKB, CEP55, PTTG1, CDC25A, SPC24, FAM83D, CCNB2, BUB1, CENPW, CDCA5, CCNA2, CDCA3"], ["GO:0000082~G1/S transition of mitotic cell cycle", "8", "1.05×10−6", "CDC7, CCNE1, CDC45, POLE2, CDKN3, CDCA5, CDC25A, CDT1"], ["GO:0007062~sister chromatid cohesion", "7", "1.66×10−5", "SPC24, CDCA8, CENPL, BUB1, CDC20, AURKB, CDCA5"], ["GO:0006260~DNA replication", "7", "1.63×10−4", "CDC7, CDC45, POLE2, CHAF1B, CDC25A, DSCC1, CDT1"], ["GO:0008284~positive regulation of cell proliferation", "7", "3.56×10−2", "CDC7, PRC1, PTH1R, PDGFRA, CDC20, ESM1, VIPR1"], ["GO:0071276~cellular response to cadmium ion", "6", "2.07×10−8", "MT1A, CYP1A2, MT1H, MT1X, MT1G, MT1F"], ["GO:0000086~G2/M transition of mitotic cell cycle", "6", "7.65×10−4", "CCNB1, CCNB2, NEK2, AURKA, CDC25A, HMMR"], ["GO:0006281~DNA repair", "6", "7.87×10−3", "RAD51AP1, POLE2, PTTG1, CHAF1B, UBE2T, RAD51"], ["GO:0008283~cell proliferation Cellular component", "6", "4.32×10−2", "FAM83D, STIL, DLGAP5, BUB1, AURKB, CDC25A"], ["GO:0005654~nucleoplasm", "26", "1.40×10−3", "PRC1, AURKA, AURKB, CDT1, CCNE1, CDC45, CDCA8, POLE2, BUB1, THRSP, CCNA2, CDCA5, TOP2A, CDC7, RAD51AP1, CENPL, CDC20, CDC25A, RAD51, CCNB1, CCNB2, CENPW, CHAF1B, UBE2T, DSCC1, KIF20A"], ["GO:0005576~extracellular region", "14", "4.86×10−2", "C7, CNDP1, HSD17B13, COL15A1, CCL19, DCN, ESM1, ECM1, GREM2, DNASE1L3, MMP11, LPA, APOF, MFAP4"], ["GO:0005813~centrosome", "9", "1.13×10−3", "CCNB1, STIL, CDC45, CCNB2, NCAPG, NEK2, AURKA, CDC20, CEP55"], ["GO:0048471~perinuclear region of cytoplasm", "9", "1.09×10−2", "MT1A, AURKA, CDC20, CDKN3, MT1H, MT1X, MT1G, RAD51, MT1F"], ["GO:0030496~midbody", "8", "3.22×10−6", "CDCA8, PRC1, NEK2, AURKA, CEP55, AURKB, ECT2, KIF20A"], ["GO:0005819~spindle", "6", "3.16×10−4", "KIFC1, PRC1, AURKA, CDC20, AURKB, KIF20A"], ["Molecular function"], ["GO:0019901~protein kinase binding", "9", "7.10×10−4", "CCNB1, FAM83D, CCNE1, PRC1, AURKA, SFN, CCNA2, CDC25A, KIF20A"], ["GO:0004672~protein kinase activity", "7", "1.06×10−2", "CDC7, NEK2, PDGFRA, BUB1, AURKA, PBK, AURKB"], ["GO:0004674~protein serine/threonine kinase activity", "6", "4.48×10−2", "CDC7, NEK2, BUB1, AURKA, PBK, AURKB"]], "row_count": 22, "column_count": 4, "numeric_cells": 73, "header_rows": 1, "locator": "section[15]/table-wrap[1]#tI-etm-0-0-7494"}}, {"id": "asset:table:pmid:31086582:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:710f5922ba04d53987646b4efd73b9f9081b4e74f6e924c788079a77c6e5e8cf", "bytes": 875, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[15]/table-wrap[2]#tII-etm-0-0-7494", "version": null, "note": "Significantly enriched pathways for the prognostic genes in the co-expression network.", "structure": {"pmcid": "PMC6489019", "section_index": 15, "section_title": "Gene co-expression network", "row_count": 8, "column_count": 4}, "table": {"label": "Table II.", "caption": "Significantly enriched pathways for the prognostic genes in the co-expression network.", "rows": [["Term", "Count", "P-value", "Genes"], ["hsa04110:Cell cycle", "11", "4.51×10−9", "CCNB1, CDC7, CCNE1, CDC45, CCNB2, BUB1, CDC20, PTTG1, SFN, CCNA2, CDC25A"], ["hsa04978:Mineral absorption", "5", "2.10×10−4", "MT1A, MT1H, MT1X, MT1G, MT1F"], ["hsa04115:p53 signaling pathway", "4", "9.25×10−3", "CCNB1, CCNE1, CCNB2, SFN"], ["hsa00380:Tryptophan metabolism", "3", "2.77×10−2", "AADAT, CYP1A2, INMT"], ["hsa00232:Caffeine metabolism", "2", "3.22×10−2", "NAT2, CYP1A2"], ["hsa00140:Steroid hormone biosynthesis", "3", "3.45×10−2", "CYP3A4, SRD5A2, CYP1A2"], ["hsa05204:Chemical carcinogenesis", "3", "4.53×10−2", "CYP3A4, NAT2, CYP1A2"]], "row_count": 8, "column_count": 4, "numeric_cells": 22, "header_rows": 1, "locator": "section[15]/table-wrap[2]#tII-etm-0-0-7494"}}, {"id": "asset:table:pmid:31086582:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:ee1449538557ef9d0579215cf2937fa27e8c97be65c0799bdf72d501cf6b477a", "bytes": 3190, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#tIII-etm-0-0-7494", "version": null, "note": "The 55 signature genes involved in the prognostic prediction system.", "structure": {"pmcid": "PMC6489019", "section_index": 16, "section_title": "Prognostic prediction system", "row_count": 63, "column_count": 4}, "table": {"label": "Table III.", "caption": "The 55 signature genes involved in the prognostic prediction system.", "rows": [["A, Upregulated genes"], [""], ["Gene", "logFC", "P-value", "FDR"], ["SPC24", "1.777", "8.57×10−33", "2.66×10−30"], ["TGM3", "1.396", "4.38×10−35", "1.96×10−32"], ["KIF20A", "1.173", "2.42×10−30", "5.74×10−28"], ["ESM1", "1.162", "6.50×10−30", "1.40×10−27"], ["CDC20", "1.106", "1.51×10−30", "3.88×10−28"], ["CDCA3", "1.018", "3.84×10−23", "4.22×10−21"], ["CCNE1", "0.964", "4.97×10−19", "3.47×10−17"], ["TNFRSF4", "0.949", "8.28×10−19", "5.59×10−17"], ["COL15A1", "0.942", "2.28×10−25", "3.00×10−23"], ["CELSR3", "0.921", "1.59×10−19", "1.16×10−17"], ["CEP55", "0.920", "1.99×10−17", "1.19×10−15"], ["CDT1", "0.860", "4.43×10−20", "3.41×10−18"], ["C16orf59", "0.846", "1.13×10−16", "6.18×10−15"], ["MUC13", "0.800", "1.07×10−19", "7.93×10−18"], ["GPC3", "0.778", "9.91×10−26", "1.36×10−23"], ["MMP11", "0.723", "2.34×10−16", "1.24×10−14"], ["IGF2BP3", "0.702", "2.73×10−12", "1.04×10−10"], ["STC2", "0.687", "1.29×10−13", "5.67×10−12"], ["RAD51AP1", "0.672", "3.06×10−11", "1.05×10−9"], ["CCNB1", "0.653", "1.50×10−14", "7.08×10−13"], ["STIL", "0.622", "1.95×10−10", "6.11×10−9"], ["CA12", "0.615", "9.69×10−11", "3.15×10−9"], ["PNMA3", "0.550", "8.68×10−7", "1.55×10−5"], ["POLE2", "0.540", "4.99×10−8", "1.07×10−6"], ["FOXD2", "0.534", "3.59×10−7", "6.83×10−6"], ["MSX1", "0.531", "4.53×10−7", "8.45×10−6"], ["ITPKA", "0.525", "1.77×10−8", "4.16×10−7"], ["ACTG2", "0.525", "3.01×10−8", "6.78×10−7"], ["AKR1B10", "0.514", "7.73×10−13", "3.14×10−11"], [""], ["B, Downregulated genes"], [""], ["Gene", "logFC", "P-value", "FDR"], [""], ["CYP4A22", "−0.492", "2.25×10−12", "8.69×10−11"], ["TMEM82", "−0.519", "5.69×10−13", "2.36×10−11"], ["GLYAT", "−0.536", "1.39×10−16", "7.57×10−15"], ["GBA3", "−0.546", "1.40×10−15", "7.17×10−14"], ["APOF", "−0.555", "1.52×10−18", "1.00×10−16"], ["SLC22A1", "−0.565", "1.50×10−20", "1.23×10−18"], ["DNASE1L3", "−0.580", "4.07×10−17", "2.31×10−15"], ["ECM1", "−0.591", "7.68×10−17", "4.26×10−15"], ["CETP", "−0.602", "1.68×10−15", "8.57×10−14"], ["GLS2", "−0.603", "6.99×10−20", "5.35×10−18"], ["GREM2", "−0.614", "1.99×10−16", "1.06×10−14"], ["AADAT", "−0.615", "2.46×10−17", "1.42×10−15"], ["MME", "−0.616", "6.41×10−17", "3.57×10−15"], ["SRD5A2", "−0.650", "5.30×10−19", "3.64×10−17"], ["C9", "−0.655", "7.70×10−28", "1.33×10−25"], ["CLRN3", "−0.701", "2.09×10−20", "1.68×10−18"], ["IGFALS", "−0.716", "7.36×10−26", "1.03×10−23"], ["TMEM27", "−0.730", "5.13×10−21", "4.37×10−19"], ["ASPG", "−0.735", "1.68×10−25", "2.26×10−23"], ["SRPX", "−0.763", "7.97×10−21", "6.69×10−19"], ["MYOM2", "−0.784", "3.33×10−18", "2.13×10−16"], ["MT1F", "−0.846", "1.21×10−34", "5.04×10−32"], ["PTH1R", "−0.866", "3.18×10−28", "5.82×10−26"], ["FCN3", "−0.978", "1.24×10−42", "9.37×10−40"], ["HAMP", 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