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pmid:32848739

Construction and Analysis of the Tumor-Specific mRNA-miRNA-lncRNA Network in Gastric Cancer.

Xiaohao Zheng · Xiaohui Wang · Li Zheng · Hao Zhao · Wenbin Li · Bingzhi Wang · Liyan Xue · Yantao Tian · Yibin Xie

Frontiers in pharmacology · 2020 doi:10.3389/fphar.2020.01112

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title
Construction and Analysis of the Tumor-Specific mRNA-miRNA-lncRNA Network in Gastric Cancer.
doi
10.3389/fphar.2020.01112
pmid
32848739
authors array · 9 items
[0]
Xiaohao Zheng
[1]
Xiaohui Wang
[2]
Li Zheng
[3]
Hao Zhao
[4]
Wenbin Li
[5]
Bingzhi Wang
[6]
Liyan Xue
[7]
Yantao Tian
[8]
Yibin Xie
journal
Frontiers in pharmacology
year
2020
abstract
Weighted correlation network analysis (WGCNA) is a statistical method that has been widely used in recent years to explore gene co-expression modules. Competing endogenous RNA (ceRNA) is commonly involved in the cancer gene expression regulation mechanism. Some ceRNA networks are recognized in gastric cancer; however, the prognosis-associated ceRNA network has not been fully identified using WGCNA. We performed WGCNA using datasets from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) to identify cancer-associated modules. The criteria of differentially expressed RNAs between normal stomach samples and gastric cancer samples were set at the false discovery rate (FDR) < 0.01 and |fold change (FC)| > 1.3. The ceRNA relationships obtained from the RNAinter database were examined by both the Pearson correlation test and hypergeometric test to confirm the mRNA-lncRNA regulation. Overlapped genes were recognized at the intersections of genes predicted by ceRNA relationships, differentially expressed genes, and genes in cancer-specific modules. These were then used for univariate and multivariate Cox analyses to construct a risk score model. The ceRNA network was constructed based on the genes in this model. WGCNA-uncovered genes in the green and turquoise modules are those most associated with gastric cancer. Eighty differentially expressed genes were observed to have potential prognostic value, which led to the identification of 12 prognosis-related mRNAs (KIF15, FEN1, ZFP69B, SP6, SPARC, TTF2, MSI2, KYNU, ACLY, KIF21B, SLC12A7, and ZNF823) to construct a risk score model. The risk genes were validated using the GSE62254 and GSE84433 datasets, with 0.82 as the universal cutoff value. 12 genes, 12 lncRNAs, and 35 miRNAs were used to build a ceRNA network with 86 dysregulated lncRNA-mRNA ceRNA pairs. Finally, we developed a 12-gene signature from both prognosis-related and tumor-specific genes, and then constructed a ceRNA network in gastric cancer. Our findings may provide novel insights into the treatment of gastric cancer.
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We performed WGCNA using datasets from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) to identify cancer-associated modules.
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Molecular analysis of gastric cancer identifies discrete subtypes associated with distinct clinical characteristics and survival outcomes: the ACRG (Asian Cancer Research Group) study [gastric tumors]
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GSM2235809
[115]
GSM2235810
[116]
GSM2235811
[117]
GSM2235812
[118]
GSM2235813
[119]
GSM2235814
[120]
GSM2235815
[121]
GSM2235816
[122]
GSM2235817
[123]
GSM2235818
[124]
GSM2235819
[125]
GSM2235820
[126]
GSM2235821
[127]
GSM2235822
[128]
GSM2235823
[129]
GSM2235824
[130]
GSM2235825
[131]
GSM2235826
[132]
GSM2235827
[133]
GSM2235828
[134]
GSM2235829
[135]
GSM2235830
[136]
GSM2235831
[137]
GSM2235837
[138]
GSM2235838
[139]
GSM2235839
[140]
GSM2235840
[141]
GSM2235841
[142]
GSM2235842
[143]
GSM2235843
[144]
GSM2235844
[145]
GSM2235845
[146]
GSM2235846
[147]
GSM2235847
[148]
GSM2235848
[149]
GSM2235849
[150]
GSM2235850
[151]
GSM2235851
[152]
GSM2235852
[153]
GSM2235853
[154]
GSM2235854
[155]
GSM2235855
[156]
GSM2235862
[157]
GSM2235863
[158]
GSM2235864
[159]
GSM2235865
[160]
GSM2235866
[161]
GSM2235867
[162]
GSM2235878
[163]
GSM2235879
[164]
GSM2235880
[165]
GSM2235881
[166]
GSM2235882
[167]
GSM2235883
[168]
GSM2235884
[169]
GSM2235885
[170]
GSM2235886
[171]
GSM2235887
[172]
GSM2235888
[173]
GSM2235889
[174]
GSM2235899
[175]
GSM2235900
[176]
GSM2235901
[177]
GSM2235902
[178]
GSM2235903
[179]
GSM2235904
[180]
GSM2235905
[181]
GSM2235906
[182]
GSM2235907
[183]
GSM2235908
[184]
GSM2235909
[185]
GSM2235910
[186]
GSM2235921
[187]
GSM2235922
[188]
GSM2235923
[189]
GSM2235924
[190]
GSM2235925
[191]
GSM2235926
[192]
GSM2235927
[193]
GSM2235928
[194]
GSM2235929
[195]
GSM2235930
[196]
GSM2235931
[197]
GSM2235932
[198]
GSM2235933
[199]
GSM2235934
[200]
GSM2235935
[201]
GSM2235936
[202]
GSM2235937
[203]
GSM2235938
[204]
GSM2235939
[205]
GSM2235940
[206]
GSM2235941
[207]
GSM2235942
[208]
GSM2235943
[209]
GSM2235944
[210]
GSM2235945
[211]
GSM2235946
[212]
GSM2235947
[213]
GSM2235948
[214]
GSM2235949
[215]
GSM2235950
[216]
GSM2235951
[217]
GSM2235952
[218]
GSM2235953
[219]
GSM2235954
[220]
GSM2235955
[221]
GSM2235956
[222]
GSM2235957
[223]
GSM2235958
[224]
GSM2235959
[225]
GSM2235960
[226]
GSM2235961
[227]
GSM2235962
[228]
GSM2235963
[229]
GSM2235964
[230]
GSM2235965
[231]
GSM2235966
[232]
GSM2235967
[233]
GSM2235968
[234]
GSM2235969
[235]
GSM2235970
[236]
GSM2235971
[237]
GSM2235972
[238]
GSM2235973
[239]
GSM2235974
[240]
GSM2235975
[241]
GSM2235976
[242]
GSM2235977
[243]
GSM2235978
[244]
GSM2235979
[245]
GSM2235980
[246]
GSM2235981
[247]
GSM2235982
[248]
GSM2235983
[249]
GSM2235984
[250]
GSM2235985
[251]
GSM2235986
[252]
GSM2235987
[253]
GSM2235988
[254]
GSM2235991
[255]
GSM2235992
[256]
GSM2235993
[257]
GSM2235994
[258]
GSM2235995
[259]
GSM2235996
[260]
GSM2235997
[261]
GSM2235998
[262]
GSM2235999
[263]
GSM2236000
[264]
GSM2236001
[265]
GSM2236002
[266]
GSM2236003
[267]
GSM2236004
[268]
GSM2236005
[269]
GSM2236006
[270]
GSM2236007
[271]
GSM2236008
[272]
GSM2236009
[273]
GSM2236010
[274]
GSM2236011
[275]
GSM2236012
[276]
GSM2236013
[277]
GSM2236014
[278]
GSM2236015
[279]
GSM2236016
[280]
GSM2236017
[281]
GSM2236018
[282]
GSM2236019
[283]
GSM2236020
[284]
GSM2236021
[285]
GSM2236022
[286]
GSM2236023
[287]
GSM2236024
[288]
GSM2236025
[289]
GSM2236026
[290]
GSM2236027
[291]
GSM2236028
[292]
GSM2236029
[293]
GSM2236030
[294]
GSM2236031
[295]
GSM2236032
[296]
GSM2236033
[297]
GSM2236034
[298]
GSM2236036
[299]
GSM2236037
[300]
GSM2236038
[301]
GSM2236039
[302]
GSM2236040
[303]
GSM2236041
[304]
GSM2236042
[305]
GSM2236043
[306]
GSM2236044
[307]
GSM2236045
[308]
GSM2236046
[309]
GSM2236047
[310]
GSM2236048
[311]
GSM2236049
[312]
GSM2236050
[313]
GSM2236051
[314]
GSM2236052
[315]
GSM2236053
[316]
GSM2236054
[317]
GSM2236055
[318]
GSM2236056
[319]
GSM2236057
[320]
GSM2236058
[321]
GSM2236059
[322]
GSM2236060
[323]
GSM2236061
[324]
GSM2236062
[325]
GSM2236063
[326]
GSM2236064
[327]
GSM2236065
[328]
GSM2236066
[329]
GSM2236067
[330]
GSM2236068
[331]
GSM2236069
[332]
GSM2236070
[333]
GSM2236071
[334]
GSM2236072
[335]
GSM2236073
[336]
GSM2236074
[337]
GSM2236075
[338]
GSM2236076
[339]
GSM2236077
[340]
GSM2236078
[341]
GSM2236079
[342]
GSM2236080
[343]
GSM2236082
[344]
GSM2236083
[345]
GSM2236084
[346]
GSM2236085
[347]
GSM2236086
[348]
GSM2236087
[349]
GSM2236088
[350]
GSM2236089
[351]
GSM2236090
[352]
GSM2236091
[353]
GSM2236092
[354]
GSM2236093
[355]
GSM2236094
[356]
GSM2236095
sample_count
357
group_sizes
null
group_sizes_basis
null
platform
6947
taxon
Homo sapiens
title
Molecular subtypes in gastric cancer. [II]
resolution_checked_at
2026-11-01T15:39:55Z
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:32848739:1
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jats-table
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section[13]/table-wrap[1]#T1
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null
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The baseline characteristics of the construction and validation cohorts.
structure object · 5 fields
pmcid
PMC7396639
section_index
13
section_title
Survival Model Construction and Validation
row_count
18
column_count
10
table object · 8 fields
label
Table 1
caption
The baseline characteristics of the construction and validation cohorts.
rows array · 18 items
[0] array · 4 items
[0]
Variables
[1]
TCGA
[2]
GSE622554
[3]
GSE84433
[1] array · 10 items
[0]
[1]
Alive
[2]
Dead
[3]
N (%)
[4]
Alive
[5]
Dead
[6]
N (%)
[7]
Alive
[8]
Dead
[9]
N (%)
[2] array · 1 item
[0]
Age
[3] array · 10 items
[0]
>=60
[1]
122 (64.6)
[2]
104 (74.3)
[3]
226 (68.7)
[4]
91 (61.5)
[5]
103 (67.8)
[6]
194 (64.7)
[7]
85 (46.4)
[8]
114 (66.3)
[9]
199 (56.1)
[4] array · 10 items
[0]
<60
[1]
67 (35.4)
[2]
36 (25.7)
[3]
103 (31.3)
[4]
57 (38.5)
[5]
49 (32.2)
[6]
106 (35.3)
[7]
98 (53.6)
[8]
58 (33.7)
[9]
156 (43.9)
[5] array · 1 item
[0]
Gender
[6] array · 10 items
[0]
male
[1]
117 (60.9)
[2]
97 (69.3)
[3]
214 (64.5)
[4]
99 (66.9)
[5]
100 (65.8)
[6]
199 (66.3)
[7]
117 (63.9)
[8]
123 (71.5)
[9]
240 (67.6)
[7] array · 10 items
[0]
female
[1]
75 (39.1)
[2]
43 (30.7)
[3]
118 (35.5)
[4]
49 (33.1)
[5]
52 (34.2)
[6]
101 (33.7)
[7]
66 (36.1)
[8]
49 (28.5)
[9]
115 (32.4)
[8] array · 1 item
[0]
pT
[9] array · 10 items
[0]
T4
[1]
49 (25.5)
[2]
38 (27.9)
[3]
87 (26.5)
[4]
5 (3.4)
[5]
16 (10.5)
[6]
21 (7.0)
[7]
107 (58.5)
[8]
135 (78.5)
[9]
242 (68.2)
[10] array · 10 items
[0]
T3
[1]
84 (43.8)
[2]
70 (51.5)
[3]
154 (47.0)
[4]
30 (20.3)
[5]
61 (40.1)
[6]
91 (30.3)
[7]
39 (21.3)
[8]
28 (16.3)
[9]
67 (18.9)
[11] array · 10 items
[0]
T2
[1]
47 (24.5)
[2]
27 (19.9)
[3]
74 (22.6)
[4]
113 (76.4)
[5]
75 (49.3)
[6]
188 (62.7)
[7]
28 (15.3)
[8]
7 (4.1)
[9]
35 (9.9)
[12] array · 10 items
[0]
T1
[1]
12 (6.3)
[2]
1 (0.7)
[3]
13 (4.0)
[4]
0 (0.0)
[5]
0 (0.0)
[6]
0 (0.0)
[7]
0 (0.0)
[8]
0 (0.0)
[9]
0 (0.0)
[13] array · 1 item
[0]
pN
[14] array · 10 items
[0]
N3
[1]
28 (15.1)
[2]
40 (29.6)
[3]
68 (21.2)
[4]
10 (6.8)
[5]
41 (27.0)
[6]
51 (17.0)
[7]
10 (5.5)
[8]
21 (12.2)
[9]
31 (8.7)
[15] array · 10 items
[0]
N2
[1]
39 (21.0)
[2]
27 (20.0)
[3]
66 (20.6)
[4]
30 (20.3)
[5]
50 (32.9)
[6]
80 (26.7)
[7]
35 (19.1)
[8]
64 (37.2)
[9]
99 (27.9)
[16] array · 10 items
[0]
N1
[1]
49 (26.3)
[2]
40 (29.6)
[3]
89 (27.7)
[4]
79 (53.4)
[5]
52 (34.2)
[6]
131 (43.7)
[7]
89 (48.6)
[8]
65 (37.8)
[9]
154 (43.4)
[17] array · 10 items
[0]
N0
[1]
70 (37.6)
[2]
28 (20.7)
[3]
98 (30.5)
[4]
29 (19.6)
[5]
9 (5.9)
[6]
38 (12.7)
[7]
49 (26.8)
[8]
22 (12.8)
[9]
71 (20.0)
locator
section[13]/table-wrap[1]#T1
[4] object · 16 fields
id
asset:table:pmid:32848739:2
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table
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jats-table
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application/vnd.jats.table+json
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null
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sha256:cbddb93a2d4e257697f6fe487ce8c22ecdada7b0e7e1e72ce47c098b393a293f
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5856
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verified
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read_table
reader_status
available
identifier
section[13]/table-wrap[2]#T2
version
null
note
Univariate and multivariate Cox analyses of survival-related genes in the training group.
structure object · 5 fields
pmcid
PMC7396639
section_index
13
section_title
Survival Model Construction and Validation
row_count
82
column_count
11
table object · 8 fields
label
Table 2
caption
Univariate and multivariate Cox analyses of survival-related genes in the training group.
rows array · 82 items
[0] array · 3 items
[0]
Gene
[1]
univariate
[2]
multivariate
[1] array · 10 items
[0]
coef
[1]
HR
[2]
lower95
[3]
upper95
[4]
p-value
[5]
coef
[6]
HR
[7]
lower95
[8]
upper95
[9]
p-value
[2] array · 11 items
[0]
CKAP2
[1]
-0.20
[2]
0.82
[3]
0.69
[4]
0.97
[5]
2.11E-02
[6]
[7]
[8]
[9]
[10]
[3] array · 11 items
[0]
F2R
[1]
0.22
[2]
1.24
[3]
1.05
[4]
1.47
[5]
1.16E-02
[6]
[7]
[8]
[9]
[10]
[4] array · 11 items
[0]
ZNF367
[1]
-0.20
[2]
0.82
[3]
0.70
[4]
0.96
[5]
1.61E-02
[6]
[7]
[8]
[9]
[10]
[5] array · 11 items
[0]
ASF1B
[1]
-0.14
[2]
0.87
[3]
0.76
[4]
1.00
[5]
4.71E-02
[6]
[7]
[8]
[9]
[10]
[6] array · 11 items
[0]
UHRF1
[1]
-0.18
[2]
0.84
[3]
0.72
[4]
0.98
[5]
2.31E-02
[6]
[7]
[8]
[9]
[10]
[7] array · 11 items
[0]
BRIP1
[1]
-0.18
[2]
0.83
[3]
0.71
[4]
0.97
[5]
1.98E-02
[6]
[7]
[8]
[9]
[10]
[8] array · 11 items
[0]
NDC1
[1]
-0.19
[2]
0.83
[3]
0.71
[4]
0.97
[5]
2.10E-02
[6]
[7]
[8]
[9]
[10]
[9] array · 11 items
[0]
KIF15
[1]
-0.15
[2]
0.86
[3]
0.74
[4]
1.00
[5]
4.96E-02
[6]
0.56
[7]
1.76
[8]
1.29
[9]
2.39
[10]
3.13E-04
[10] array · 11 items
[0]
DCLRE1B
[1]
-0.21
[2]
0.81
[3]
0.69
[4]
0.96
[5]
1.53E-02
[6]
[7]
[8]
[9]
[10]
[11] array · 11 items
[0]
TFDP1
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.98
[5]
2.61E-02
[6]
[7]
[8]
[9]
[10]
[12] array · 11 items
[0]
DCK
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.98
[5]
3.31E-02
[6]
[7]
[8]
[9]
[10]
[13] array · 11 items
[0]
RAD54L
[1]
-0.15
[2]
0.86
[3]
0.75
[4]
1.00
[5]
4.93E-02
[6]
[7]
[8]
[9]
[10]
[14] array · 11 items
[0]
CTHRC1
[1]
0.25
[2]
1.28
[3]
1.08
[4]
1.52
[5]
4.82E-03
[6]
[7]
[8]
[9]
[10]
[15] array · 11 items
[0]
FEN1
[1]
-0.20
[2]
0.82
[3]
0.70
[4]
0.96
[5]
1.30E-02
[6]
-0.24
[7]
0.78
[8]
0.62
[9]
1.00
[10]
4.77E-02
[16] array · 11 items
[0]
BCL11B
[1]
-0.21
[2]
0.81
[3]
0.69
[4]
0.96
[5]
1.28E-02
[6]
[7]
[8]
[9]
[10]
[17] array · 11 items
[0]
LMNB2
[1]
-0.24
[2]
0.79
[3]
0.67
[4]
0.92
[5]
3.53E-03
[6]
[7]
[8]
[9]
[10]
[18] array · 11 items
[0]
TBC1D31
[1]
-0.18
[2]
0.83
[3]
0.70
[4]
0.98
[5]
2.96E-02
[6]
[7]
[8]
[9]
[10]
[19] array · 11 items
[0]
BORA
[1]
-0.18
[2]
0.83
[3]
0.71
[4]
0.97
[5]
2.06E-02
[6]
[7]
[8]
[9]
[10]
[20] array · 11 items
[0]
COL10A1
[1]
0.19
[2]
1.21
[3]
1.01
[4]
1.44
[5]
3.66E-02
[6]
[7]
[8]
[9]
[10]
[21] array · 11 items
[0]
GMCL1
[1]
-0.22
[2]
0.80
[3]
0.67
[4]
0.95
[5]
1.12E-02
[6]
[7]
[8]
[9]
[10]
[22] array · 11 items
[0]
FGD6
[1]
0.19
[2]
1.21
[3]
1.03
[4]
1.43
[5]
2.29E-02
[6]
[7]
[8]
[9]
[10]
[23] array · 11 items
[0]
ZFP69B
[1]
-0.18
[2]
0.83
[3]
0.71
[4]
0.98
[5]
2.58E-02
[6]
-0.26
[7]
0.77
[8]
0.62
[9]
0.95
[10]
1.62E-02
[24] array · 11 items
[0]
VCAN
[1]
0.28
[2]
1.32
[3]
1.11
[4]
1.57
[5]
1.97E-03
[6]
[7]
[8]
[9]
[10]
[25] array · 11 items
[0]
E2F2
[1]
-0.19
[2]
0.83
[3]
0.72
[4]
0.96
[5]
1.22E-02
[6]
[7]
[8]
[9]
[10]
[26] array · 11 items
[0]
SSX2IP
[1]
-0.22
[2]
0.80
[3]
0.67
[4]
0.96
[5]
1.44E-02
[6]
[7]
[8]
[9]
[10]
[27] array · 11 items
[0]
RBBP8
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.98
[5]
2.41E-02
[6]
[7]
[8]
[9]
[10]
[28] array · 11 items
[0]
MASTL
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.97
[5]
2.27E-02
[6]
[7]
[8]
[9]
[10]
[29] array · 11 items
[0]
THY1
[1]
0.20
[2]
1.22
[3]
1.03
[4]
1.44
[5]
2.18E-02
[6]
[7]
[8]
[9]
[10]
[30] array · 11 items
[0]
TIMM8A
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.98
[5]
2.72E-02
[6]
[7]
[8]
[9]
[10]
[31] array · 11 items
[0]
TMEM201
[1]
-0.17
[2]
0.84
[3]
0.71
[4]
1.00
[5]
4.86E-02
[6]
[7]
[8]
[9]
[10]
[32] array · 11 items
[0]
RMI1
[1]
-0.23
[2]
0.80
[3]
0.68
[4]
0.94
[5]
6.33E-03
[6]
[7]
[8]
[9]
[10]
[33] array · 11 items
[0]
LRFN4
[1]
-0.16
[2]
0.85
[3]
0.73
[4]
1.00
[5]
4.98E-02
[6]
[7]
[8]
[9]
[10]
[34] array · 11 items
[0]
SLC7A1
[1]
-0.22
[2]
0.80
[3]
0.67
[4]
0.95
[5]
1.11E-02
[6]
[7]
[8]
[9]
[10]
[35] array · 11 items
[0]
SLC52A3
[1]
-0.25
[2]
0.78
[3]
0.67
[4]
0.90
[5]
9.97E-04
[6]
[7]
[8]
[9]
[10]
[36] array · 11 items
[0]
COA7
[1]
-0.27
[2]
0.76
[3]
0.64
[4]
0.91
[5]
1.96E-03
[6]
[7]
[8]
[9]
[10]
[37] array · 11 items
[0]
COL3A1
[1]
0.19
[2]
1.21
[3]
1.02
[4]
1.43
[5]
2.83E-02
[6]
[7]
[8]
[9]
[10]
[38] array · 11 items
[0]
SKIL
[1]
0.18
[2]
1.19
[3]
1.00
[4]
1.41
[5]
4.47E-02
[6]
[7]
[8]
[9]
[10]
[39] array · 11 items
[0]
STRIP2
[1]
-0.26
[2]
0.77
[3]
0.65
[4]
0.92
[5]
3.64E-03
[6]
[7]
[8]
[9]
[10]
[40] array · 11 items
[0]
TCF3
[1]
-0.19
[2]
0.82
[3]
0.70
[4]
0.97
[5]
2.00E-02
[6]
[7]
[8]
[9]
[10]
[41] array · 11 items
[0]
PAQR4
[1]
-0.16
[2]
0.85
[3]
0.73
[4]
0.99
[5]
4.20E-02
[6]
[7]
[8]
[9]
[10]
[42] array · 11 items
[0]
SP6
[1]
-0.24
[2]
0.79
[3]
0.67
[4]
0.93
[5]
4.16E-03
[6]
-0.23
[7]
0.79
[8]
0.65
[9]
0.96
[10]
1.92E-02
[43] array · 11 items
[0]
DPP3
[1]
-0.16
[2]
0.86
[3]
0.74
[4]
0.99
[5]
4.16E-02
[6]
[7]
[8]
[9]
[10]
[44] array · 11 items
[0]
SPARC
[1]
0.26
[2]
1.30
[3]
1.09
[4]
1.54
[5]
3.21E-03
[6]
0.18
[7]
1.20
[8]
1.00
[9]
1.44
[10]
4.69E-02
[45] array · 11 items
[0]
ANOS1
[1]
0.18
[2]
1.20
[3]
1.01
[4]
1.43
[5]
4.24E-02
[6]
[7]
[8]
[9]
[10]
[46] array · 11 items
[0]
TTF2
[1]
-0.28
[2]
0.76
[3]
0.64
[4]
0.90
[5]
1.21E-03
[6]
-0.38
[7]
0.69
[8]
0.53
[9]
0.89
[10]
3.67E-03
[47] array · 11 items
[0]
CCDC18
[1]
-0.22
[2]
0.80
[3]
0.68
[4]
0.95
[5]
9.92E-03
[6]
[7]
[8]
[9]
[10]
[48] array · 11 items
[0]
SMC1A
[1]
-0.26
[2]
0.77
[3]
0.64
[4]
0.92
[5]
4.51E-03
[6]
[7]
[8]
[9]
[10]
[49] array · 11 items
[0]
TMC6
[1]
-0.17
[2]
0.84
[3]
0.72
[4]
0.99
[5]
3.92E-02
[6]
[7]
[8]
[9]
[10]
[50] array · 11 items
[0]
PAXIP1
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.98
[5]
3.22E-02
[6]
[7]
[8]
[9]
[10]
[51] array · 11 items
[0]
MFAP2
[1]
0.24
[2]
1.27
[3]
1.07
[4]
1.50
[5]
6.88E-03
[6]
[7]
[8]
[9]
[10]
[52] array · 11 items
[0]
MSI2
[1]
-0.27
[2]
0.77
[3]
0.65
[4]
0.91
[5]
2.64E-03
[6]
-0.30
[7]
0.74
[8]
0.61
[9]
0.90
[10]
2.24E-03
[53] array · 11 items
[0]
KYNU
[1]
0.20
[2]
1.22
[3]
1.03
[4]
1.46
[5]
2.35E-02
[6]
0.29
[7]
1.34
[8]
1.11
[9]
1.62
[10]
2.60E-03
[54] array · 11 items
[0]
POP1
[1]
-0.21
[2]
0.81
[3]
0.69
[4]
0.96
[5]
1.53E-02
[6]
[7]
[8]
[9]
[10]
[55] array · 11 items
[0]
WDR4
[1]
-0.20
[2]
0.82
[3]
0.69
[4]
0.98
[5]
2.44E-02
[6]
[7]
[8]
[9]
[10]
[56] array · 11 items
[0]
ZNF200
[1]
-0.18
[2]
0.84
[3]
0.70
[4]
1.00
[5]
4.63E-02
[6]
[7]
[8]
[9]
[10]
[57] array · 11 items
[0]
SUSD1
[1]
0.17
[2]
1.19
[3]
1.00
[4]
1.41
[5]
4.68E-02
[6]
[7]
[8]
[9]
[10]
[58] array · 11 items
[0]
SAC3D1
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.98
[5]
2.64E-02
[6]
[7]
[8]
[9]
[10]
[59] array · 11 items
[0]
MTPAP
[1]
-0.19
[2]
0.83
[3]
0.71
[4]
0.98
[5]
2.35E-02
[6]
[7]
[8]
[9]
[10]
[60] array · 11 items
[0]
ZMYM1
[1]
-0.18
[2]
0.83
[3]
0.70
[4]
0.98
[5]
3.04E-02
[6]
[7]
[8]
[9]
[10]
[61] array · 11 items
[0]
CXorf38
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.99
[5]
3.75E-02
[6]
[7]
[8]
[9]
[10]
[62] array · 11 items
[0]
PSMD12
[1]
-0.18
[2]
0.84
[3]
0.71
[4]
0.99
[5]
4.00E-02
[6]
[7]
[8]
[9]
[10]
[63] array · 11 items
[0]
ACLY
[1]
0.17
[2]
1.19
[3]
1.03
[4]
1.38
[5]
2.06E-02
[6]
0.45
[7]
1.58
[8]
1.34
[9]
1.86
[10]
7.02E-08
[64] array · 11 items
[0]
NSD2
[1]
-0.19
[2]
0.82
[3]
0.69
[4]
0.98
[5]
3.10E-02
[6]
[7]
[8]
[9]
[10]
[65] array · 11 items
[0]
SLC1A5
[1]
-0.18
[2]
0.84
[3]
0.71
[4]
0.98
[5]
2.75E-02
[6]
[7]
[8]
[9]
[10]
[66] array · 11 items
[0]
KIF21B
[1]
-0.24
[2]
0.79
[3]
0.66
[4]
0.94
[5]
9.64E-03
[6]
-0.30
[7]
0.74
[8]
0.62
[9]
0.89
[10]
1.19E-03
[67] array · 11 items
[0]
ZNF121
[1]
-0.22
[2]
0.80
[3]
0.69
[4]
0.94
[5]
7.89E-03
[6]
[7]
[8]
[9]
[10]
[68] array · 11 items
[0]
GPX8
[1]
0.24
[2]
1.27
[3]
1.08
[4]
1.49
[5]
4.29E-03
[6]
[7]
[8]
[9]
[10]
[69] array · 11 items
[0]
REPIN1
[1]
-0.26
[2]
0.77
[3]
0.65
[4]
0.91
[5]
2.30E-03
[6]
[7]
[8]
[9]
[10]
[70] array · 11 items
[0]
PRR5
[1]
-0.18
[2]
0.84
[3]
0.72
[4]
0.98
[5]
2.24E-02
[6]
[7]
[8]
[9]
[10]
[71] array · 11 items
[0]
ZNF557
[1]
-0.27
[2]
0.76
[3]
0.64
[4]
0.90
[5]
1.67E-03
[6]
[7]
[8]
[9]
[10]
[72] array · 11 items
[0]
VSNL1
[1]
-0.17
[2]
0.84
[3]
0.72
[4]
0.99
[5]
3.37E-02
[6]
[7]
[8]
[9]
[10]
[73] array · 11 items
[0]
ZNF786
[1]
-0.23
[2]
0.80
[3]
0.68
[4]
0.94
[5]
6.90E-03
[6]
[7]
[8]
[9]
[10]
[74] array · 11 items
[0]
PLA2G15
[1]
0.19
[2]
1.21
[3]
1.02
[4]
1.43
[5]
2.50E-02
[6]
[7]
[8]
[9]
[10]
[75] array · 11 items
[0]
ZNF440
[1]
-0.19
[2]
0.83
[3]
0.70
[4]
0.98
[5]
2.76E-02
[6]
[7]
[8]
[9]
[10]
[76] array · 11 items
[0]
SLC12A7
[1]
-0.23
[2]
0.80
[3]
0.68
[4]
0.94
[5]
8.33E-03
[6]
-0.24
[7]
0.79
[8]
0.65
[9]
0.96
[10]
1.64E-02
[77] array · 11 items
[0]
ZNF823
[1]
-0.27
[2]
0.76
[3]
0.64
[4]
0.90
[5]
1.40E-03
[6]
-0.22
[7]
0.80
[8]
0.66
[9]
0.98
[10]
2.88E-02
[78] array · 11 items
[0]
THOP1
[1]
-0.22
[2]
0.80
[3]
0.67
[4]
0.95
[5]
1.01E-02
[6]
[7]
[8]
[9]
[10]
[79] array · 11 items
[0]
TNFAIP2
[1]
-0.20
[2]
0.82
[3]
0.70
[4]
0.97
[5]
1.83E-02
[6]
[7]
[8]
[9]
[10]
[80] array · 11 items
[0]
PLAGL1
[1]
0.16
[2]
1.18
[3]
1.01
[4]
1.38
[5]
4.19E-02
[6]
[7]
[8]
[9]
[10]
[81] array · 11 items
[0]
ZNF331
[1]
0.22
[2]
1.25
[3]
1.05
[4]
1.49
[5]
1.06E-02
[6]
[7]
[8]
[9]
[10]
locator
section[13]/table-wrap[2]#T2
[5] object · 16 fields
id
asset:table:pmid:32848739:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:26dfb5fea4c04a0ef2ba101dad5edc5b0f14bc45a476c0e2c8a13d8355da5d61
bytes
3061
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[14]/table-wrap[1]#T3
version
null
note
Pearson correlation tests and hypergeometric tests of the candidate lncRNA-miRNA-mRNA competing endogenous RNA pairs.
structure object · 5 fields
pmcid
PMC7396639
section_index
14
section_title
Cerna Network Construction
row_count
28
column_count
6
table object · 8 fields
label
Table 3
caption
Pearson correlation tests and hypergeometric tests of the candidate lncRNA-miRNA-mRNA competing endogenous RNA pairs.
rows array · 28 items
[0] array · 6 items
[0]
Genes
[1]
lncRNAs
[2]
miRNAs
[3]
hyperPValue
[4]
Correlation
[5]
corPValue
[1] array · 6 items
[0]
SPARC
[1]
OIP5-AS1
[2]
hsa-miR-367-3p,hsa-miR-424-5p,hsa-miR-143-3p
[3]
3.24E-04
[4]
1.23E-01
[5]
4.58E-03
[2] array · 6 items
[0]
SLC12A7
[1]
MCF2L-AS1
[2]
hsa-miR-105-5p
[3]
3.85E-02
[4]
2.67E-01
[5]
4.97E-09
[3] array · 6 items
[0]
SLC12A7
[1]
TMPO-AS1
[2]
hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p
[3]
3.17E-11
[4]
1.07E-01
[5]
1.21E-02
[4] array · 6 items
[0]
KYNU
[1]
HCP5
[2]
hsa-miR-106b-5p,hsa-miR-106a-5p
[3]
2.96E-04
[4]
2.33E-01
[5]
3.11E-07
[5] array · 6 items
[0]
TTF2
[1]
DLEU1
[2]
hsa-miR-106b-5p,hsa-miR-124-3p,hsa-miR-1224-5p,hsa-miR-3934-5p
[3]
2.61E-02
[4]
4.08E-01
[5]
1.31E-19
[6] array · 6 items
[0]
TTF2
[1]
HCP5
[2]
hsa-miR-106b-5p,hsa-miR-1-3p,hsa-miR-101-3p,hsa-miR-106a-5p
[3]
4.91E-04
[4]
1.35E-01
[5]
2.18E-03
[7] array · 6 items
[0]
TTF2
[1]
PPP1R26-AS1
[2]
hsa-miR-122-5p
[3]
3.38E-02
[4]
2.94E-01
[5]
1.24E-10
[8] array · 6 items
[0]
TTF2
[1]
CCDC18-AS1
[2]
hsa-miR-124-3p,hsa-miR-1-3p
[3]
3.32E-03
[4]
1.47E-01
[5]
9.55E-04
[9] array · 6 items
[0]
TTF2
[1]
MCF2L-AS1
[2]
hsa-miR-105-5p
[3]
3.38E-02
[4]
1.78E-01
[5]
7.73E-05
[10] array · 6 items
[0]
KIF21B
[1]
TMPO-AS1
[2]
hsa-let-7f-5p,hsa-let-7i-5p
[3]
1.44E-03
[4]
9.07E-02
[5]
2.78E-02
[11] array · 6 items
[0]
KIF21B
[1]
TRG-AS1
[2]
hsa-let-7f-5p,hsa-let-7i-5p
[3]
1.44E-03
[4]
2.88E-01
[5]
3.04E-10
[12] array · 6 items
[0]
ACLY
[1]
PPP1R26-AS1
[2]
hsa-miR-122-5p
[3]
1.75E-02
[4]
1.79E-01
[5]
6.98E-05
[13] array · 6 items
[0]
ACLY
[1]
DLEU1
[2]
hsa-miR-124-3p,hsa-miR-1224-5p,hsa-miR-940
[3]
2.05E-02
[4]
1.05E-01
[5]
1.32E-02
[14] array · 6 items
[0]
ACLY
[1]
TMPO-AS1
[2]
hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p
[3]
4.06E-14
[4]
1.47E-01
[5]
9.60E-04
[15] array · 6 items
[0]
MSI2
[1]
MCF2L-AS1
[2]
hsa-miR-105-5p
[3]
1.55E-02
[4]
1.77E-01
[5]
8.64E-05
[16] array · 6 items
[0]
MSI2
[1]
CCDC18-AS1
[2]
hsa-miR-1-3p
[3]
4.59E-02
[4]
1.32E-01
[5]
2.68E-03
[17] array · 6 items
[0]
MSI2
[1]
SH3BP5-AS1
[2]
hsa-miR-1193
[3]
1.55E-02
[4]
8.47E-02
[5]
3.70E-02
[18] array · 6 items
[0]
MSI2
[1]
OIP5-AS1
[2]
hsa-let-7a-5p,hsa-miR-105-5p,hsa-miR-1179,hsa-miR-1197,hsa-miR-143-3p
[3]
5.14E-07
[4]
9.54E-02
[5]
2.20E-02
[19] array · 6 items
[0]
MSI2
[1]
TTC28-AS1
[2]
hsa-miR-103a-3p,hsa-miR-106a-5p
[3]
1.39E-03
[4]
1.11E-01
[5]
9.48E-03
[20] array · 6 items
[0]
MSI2
[1]
TMPO-AS1
[2]
hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p,hsa-miR-1179
[3]
2.04E-17
[4]
1.26E-01
[5]
3.86E-03
[21] array · 6 items
[0]
KIF15
[1]
DLEU2
[2]
hsa-miR-193b-3p
[3]
7.75E-03
[4]
6.38E-01
[5]
1.08E-52
[22] array · 6 items
[0]
KIF15
[1]
HCP5
[2]
hsa-miR-1-3p
[3]
1.85E-02
[4]
2.13E-01
[5]
2.96E-06
[23] array · 6 items
[0]
FEN1
[1]
TMPO-AS1
[2]
hsa-let-7b-5p
[3]
3.45E-02
[4]
6.20E-01
[5]
4.29E-49
[24] array · 6 items
[0]
ZFP69B
[1]
DLEU1
[2]
hsa-miR-3714,hsa-miR-125a-3p,hsa-miR-124-3p,hsa-miR-506-3p,hsa-miR-764,hsa-miR-3934-5p,hsa-miR-6893-5p,hsa-miR-3910,hsa-miR-940,hsa-miR-6808-5p
[3]
3.02E-08
[4]
2.33E-01
[5]
3.19E-07
[25] array · 6 items
[0]
SP6
[1]
HCP5
[2]
hsa-miR-20b-5p,hsa-miR-17-5p
[3]
1.51E-03
[4]
1.02E-01
[5]
1.58E-02
[26] array · 6 items
[0]
ZNF823
[1]
TMPO-AS1
[2]
hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p
[3]
1.45E-14
[4]
3.04E-01
[5]
2.57E-11
[27] array · 6 items
[0]
ZNF823
[1]
ZFAS1
[2]
hsa-miR-106a-5p,hsa-miR-143-3p
[3]
7.92E-03
[4]
2.01E-01
[5]
9.84E-06
locator
section[14]/table-wrap[1]#T3
gaps array · 4 items
[0]
asset:data:geo:GSE62254 not downloaded
[1]
asset:data:geo:GSE62254 licence not read
[2]
asset:data:geo:GSE84433 not downloaded
[3]
asset:data:geo:GSE84433 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.7
band
medium
quote
Pearson correlation
[1] object · 10 fields
id
method-2
family
null
specific
null
label
Weighted correlation network analysis (WGCNA)
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
We performed WGCNA using datasets from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) to identify cancer-associated modules.
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]
pearson_r
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: pearson.
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]
GSE62254
[1]
GSE84433
resolved_accessions array · 2 items
[0]
GSE62254
[1]
GSE84433
statements array · 1 item
[0]
The datasets analyzed for this study can be found in The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/), the Genotype-Tissue Expression (GTEx) portal. (https://www.gtexportal.org/home/index.html), and the Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov/geo/).
basis
The paper names GSE62254, GSE84433 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]
pearson_r
assets array · 5 items
[0]
source:pmid:32848739
[1]
data:geo:GSE62254
[2]
asset:table:pmid:32848739:1
[3]
asset:table:pmid:32848739:2
[4]
asset:table:pmid:32848739:3
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:GSE62254
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
2026-10-31T18:22:20Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
36179
completion_tokens
1909
cached_tokens
776
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:32848739
type
paper
label
pmid:32848739
[1] object · 3 fields
id
source:pmid:32848739
type
manuscript
label
PMID 32848739 full text
[2] object · 3 fields
id
data:geo:GSE62254
type
dataset
label
GEO GSE62254
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:32848739
type
paper
label
pmid:32848739
[1] object · 3 fields
id
source:pmid:32848739
type
manuscript
label
PMID 32848739 full text
[2] object · 3 fields
id
data:geo:GSE62254
type
dataset
label
GEO GSE62254
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32848739
type
extraction
used array · 1 item
[0]
source:pmid:32848739
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE62254
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE62254
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:32848739
parent_hash
sha256:21496863e11b13aca3452b58f9f6550a699948e380696b09e0dc3ad6d08b8866
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE62254 licence not read
[1]
asset:data:geo:GSE62254 not downloaded
[2]
asset:data:geo:GSE84433 licence not read
[3]
asset:data:geo:GSE84433 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
correlation_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
pearson_r
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Pearson correlation
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:32848739", "kind": "science-record", "revision": 4, "content_hash": "sha256:cb59900ab9b7a711e1c235dbed3c62e4133483596a3b60eeaa5e08a502226d48", "created_at": "2026-11-01T15:41:08Z", "updated_at": "2026-11-01T21:23:41Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Construction and Analysis of the Tumor-Specific mRNA-miRNA-lncRNA Network in Gastric Cancer.", "doi": "10.3389/fphar.2020.01112", "pmid": "32848739", "authors": ["Xiaohao Zheng", "Xiaohui Wang", "Li Zheng", "Hao Zhao", "Wenbin Li", "Bingzhi Wang", "Liyan Xue", "Yantao Tian", "Yibin Xie"], "journal": "Frontiers in pharmacology", "year": 2020, "abstract": "Weighted correlation network analysis (WGCNA) is a statistical method that has been widely used in recent years to explore gene co-expression modules. Competing endogenous RNA (ceRNA) is commonly involved in the cancer gene expression regulation mechanism. Some ceRNA networks are recognized in gastric cancer; however, the prognosis-associated ceRNA network has not been fully identified using WGCNA. We performed WGCNA using datasets from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) to identify cancer-associated modules. The criteria of differentially expressed RNAs between normal stomach samples and gastric cancer samples were set at the false discovery rate (FDR) < 0.01 and |fold change (FC)| > 1.3. The ceRNA relationships obtained from the RNAinter database were examined by both the Pearson correlation test and hypergeometric test to confirm the mRNA-lncRNA regulation. Overlapped genes were recognized at the intersections of genes predicted by ceRNA relationships, differentially expressed genes, and genes in cancer-specific modules. These were then used for univariate and multivariate Cox analyses to construct a risk score model. The ceRNA network was constructed based on the genes in this model. WGCNA-uncovered genes in the green and turquoise modules are those most associated with gastric cancer. Eighty differentially expressed genes were observed to have potential prognostic value, which led to the identification of 12 prognosis-related mRNAs (KIF15, FEN1, ZFP69B, SP6, SPARC, TTF2, MSI2, KYNU, ACLY, KIF21B, SLC12A7, and ZNF823) to construct a risk score model. The risk genes were validated using the GSE62254 and GSE84433 datasets, with 0.82 as the universal cutoff value. 12 genes, 12 lncRNAs, and 35 miRNAs were used to build a ceRNA network with 86 dysregulated lncRNA-mRNA ceRNA pairs. Finally, we developed a 12-gene signature from both prognosis-related and tumor-specific genes, and then constructed a ceRNA network in gastric cancer. Our findings may provide novel insights into the treatment of gastric cancer.", "claims": [{"id": "claim-method", "statement": "We performed WGCNA using datasets from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) to identify cancer-associated modules.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32848739", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "We performed WGCNA using datasets from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) to identify cancer-associated modules."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed for this study can be found in The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/), the Genotype-Tissue Expression (GTEx) portal. (https://www.gtexportal.org/home/index.html), and the Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32848739", "locator": "sections[16] \"Data Availability Statement\" paragraph 2", "quote": "The datasets analyzed for this study can be found in The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/), the Genotype-Tissue Expression (GTEx) portal. (https://www.gtexportal.org/home/index.html), and the Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov/geo/)."}], "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:32848739"], "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:GSE62254"], "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:GSE62254"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32848739", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fphar.2020.01112", "sha256": "sha256:9dea30fba43b44963d1f9395403afeb53e1d5ed09d3c144f1d8244cca1fe381a", "bytes": 43447, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fphar.2020.01112", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7396639", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE62254", "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=GSE62254", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE62254", "version": null, "note": "The datasets analyzed for this study can be found in The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/), the Genotype-Tissue Expression (GTEx) portal. (https://www.gtexportal.org/home/index.html), and the Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov/geo/).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analyzed for this study can be found in The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/), the Genotype-Tissue Expression (GTEx) portal. (https://www.gtexportal.org/home/index.html), and the Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov/geo/).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1523727", "GSM1523728", "GSM1523729", "GSM1523744", "GSM1523745", "GSM1523746", "GSM1523747", "GSM1523748", "GSM1523765", "GSM1523768", "GSM1523769", "GSM1523770", "GSM1523771", "GSM1523772", "GSM1523773", "GSM1523774", "GSM1523775", "GSM1523776", "GSM1523777", "GSM1523778", "GSM1523779", "GSM1523780", "GSM1523781", "GSM1523782", "GSM1523783", "GSM1523784", "GSM1523785", "GSM1523786", "GSM1523787", "GSM1523788", "GSM1523789", "GSM1523790", "GSM1523791", "GSM1523792", "GSM1523793", "GSM1523794", "GSM1523795", "GSM1523796", "GSM1523797", "GSM1523798", "GSM1523799", "GSM1523800", "GSM1523801", "GSM1523802", "GSM1523803", "GSM1523804", "GSM1523805", "GSM1523806", "GSM1523807", "GSM1523808", "GSM1523809", "GSM1523810", "GSM1523811", "GSM1523812", "GSM1523813", "GSM1523814", "GSM1523815", "GSM1523816", "GSM1523817", "GSM1523818", "GSM1523819", "GSM1523820", "GSM1523821", "GSM1523822", "GSM1523823", "GSM1523824", "GSM1523825", "GSM1523826", "GSM1523827", "GSM1523828", "GSM1523829", "GSM1523830", "GSM1523831", "GSM1523832", "GSM1523833", "GSM1523834", "GSM1523835", "GSM1523836", "GSM1523837", "GSM1523838", "GSM1523839", "GSM1523840", "GSM1523841", "GSM1523842", "GSM1523843", "GSM1523844", "GSM1523845", "GSM1523846", "GSM1523847", "GSM1523848", "GSM1523849", "GSM1523850", "GSM1523851", "GSM1523852", "GSM1523853", "GSM1523854", "GSM1523855", "GSM1523856", "GSM1523857", "GSM1523858", "GSM1523859", "GSM1523860", "GSM1523861", "GSM1523862", "GSM1523863", "GSM1523864", "GSM1523865", "GSM1523866", "GSM1523867", "GSM1523868", "GSM1523869", "GSM1523870", "GSM1523871", "GSM1523872", "GSM1523873", "GSM1523874", "GSM1523875", "GSM1523876", "GSM1523877", "GSM1523878", "GSM1523879", "GSM1523880", "GSM1523881", "GSM1523882", "GSM1523883", "GSM1523884", "GSM1523885", "GSM1523886", "GSM1523887", "GSM1523888", "GSM1523889", "GSM1523890", "GSM1523891", "GSM1523892", "GSM1523893", "GSM1523894", "GSM1523895", "GSM1523896", "GSM1523897", "GSM1523898", "GSM1523899", "GSM1523901", "GSM1523903", "GSM1523904", "GSM1523905", "GSM1523906", "GSM1523908", "GSM1523909", "GSM1523910", "GSM1523911", "GSM1523918", "GSM1523919", "GSM1523920", "GSM1523921", "GSM1523922", "GSM1523923", "GSM1523924", "GSM1523925", "GSM1523926", "GSM1523927", "GSM1523928", "GSM1523929", "GSM1523930", "GSM1523931", "GSM1523932", "GSM1523933", "GSM1523934", "GSM1523935", "GSM1523936", "GSM1523937", "GSM1523938", "GSM1523939", "GSM1523940", "GSM1523941", "GSM1523942", "GSM1523943", "GSM1523944", "GSM1523945", "GSM1523946", "GSM1523947", "GSM1523948", "GSM1523949", "GSM1523950", "GSM1523951", "GSM1523952", "GSM1523953", "GSM1523954", "GSM1523955", "GSM1523956", "GSM1523957", "GSM1523958", "GSM1523959", "GSM1523960", "GSM1523961", "GSM1523962", "GSM1523963", "GSM1523964", "GSM1523965", "GSM1523966", "GSM1523967", "GSM1523968", "GSM1523969", "GSM1523970", "GSM1523971", "GSM1523972", "GSM1523973", "GSM1523974", "GSM1523975", "GSM1523976", "GSM1523977", "GSM1523978", "GSM1523979", "GSM1523980", "GSM1523981", "GSM1523982", "GSM1523983", "GSM1523984", "GSM1523985", "GSM1523986", "GSM1523987", "GSM1523988", "GSM1523989", "GSM1523990", "GSM1523991", "GSM1523992", "GSM1523993", "GSM1523994", "GSM1523995", "GSM1523996", "GSM1523997", "GSM1523998", "GSM1523999", "GSM1524000", "GSM1524001", "GSM1524002", "GSM1524003", "GSM1524004", "GSM1524005", "GSM1524006", "GSM1524007", "GSM1524008", "GSM1524009", "GSM1524010", "GSM1524011", "GSM1524012", "GSM1524013", "GSM1524014", "GSM1524015", "GSM1524016", "GSM1524017", "GSM1524018", "GSM1524019", "GSM1524020", "GSM1524021", "GSM1524022", "GSM1524023", "GSM1524024", "GSM1524025", "GSM1524026", "GSM1524027", "GSM1524028", "GSM1524029", "GSM1524030", "GSM1524031", "GSM1524032", "GSM1524033", "GSM1524034", "GSM1524035", "GSM1524036", "GSM1524037", "GSM1524038", "GSM1524039", "GSM1524040", "GSM1524041", "GSM1524042", "GSM1524043", "GSM1524044", "GSM1524045", "GSM1524046", "GSM1524047", "GSM1524048", "GSM1524049", "GSM1524050", "GSM1524051", "GSM1524052", "GSM1524053", "GSM1524054", "GSM1524055", "GSM1524056", "GSM1524057", "GSM1524058", "GSM1524059", "GSM1524060", "GSM1524061", "GSM1524062", "GSM1524068", "GSM1524069", "GSM1524070", "GSM1524071", "GSM1524072"], "sample_count": 300, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Molecular analysis of gastric cancer identifies discrete subtypes associated with distinct clinical characteristics and survival outcomes: the ACRG (Asian Cancer Research Group) study [gastric tumors]", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE84433", "role": "raw", "format": "geo-series", 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""], ["ZNF331", "0.22", "1.25", "1.05", "1.49", "1.06E-02", "", "", "", "", ""]], "row_count": 82, "column_count": 11, "numeric_cells": 486, "header_rows": 2, "locator": "section[13]/table-wrap[2]#T2"}}, {"id": "asset:table:pmid:32848739:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:26dfb5fea4c04a0ef2ba101dad5edc5b0f14bc45a476c0e2c8a13d8355da5d61", "bytes": 3061, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[14]/table-wrap[1]#T3", "version": null, "note": "Pearson correlation tests and hypergeometric tests of the candidate lncRNA-miRNA-mRNA competing endogenous RNA pairs.", "structure": {"pmcid": "PMC7396639", "section_index": 14, "section_title": "Cerna Network Construction", "row_count": 28, "column_count": 6}, "table": {"label": "Table 3", "caption": "Pearson correlation tests and hypergeometric tests of the candidate lncRNA-miRNA-mRNA competing endogenous RNA pairs.", "rows": [["Genes", "lncRNAs", "miRNAs", "hyperPValue", "Correlation", "corPValue"], ["SPARC", "OIP5-AS1", "hsa-miR-367-3p,hsa-miR-424-5p,hsa-miR-143-3p", "3.24E-04", "1.23E-01", "4.58E-03"], ["SLC12A7", "MCF2L-AS1", "hsa-miR-105-5p", "3.85E-02", "2.67E-01", "4.97E-09"], ["SLC12A7", "TMPO-AS1", "hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p", "3.17E-11", "1.07E-01", "1.21E-02"], ["KYNU", "HCP5", "hsa-miR-106b-5p,hsa-miR-106a-5p", "2.96E-04", "2.33E-01", "3.11E-07"], ["TTF2", "DLEU1", "hsa-miR-106b-5p,hsa-miR-124-3p,hsa-miR-1224-5p,hsa-miR-3934-5p", "2.61E-02", "4.08E-01", "1.31E-19"], ["TTF2", "HCP5", "hsa-miR-106b-5p,hsa-miR-1-3p,hsa-miR-101-3p,hsa-miR-106a-5p", "4.91E-04", "1.35E-01", "2.18E-03"], ["TTF2", "PPP1R26-AS1", "hsa-miR-122-5p", "3.38E-02", "2.94E-01", "1.24E-10"], ["TTF2", "CCDC18-AS1", "hsa-miR-124-3p,hsa-miR-1-3p", "3.32E-03", "1.47E-01", "9.55E-04"], ["TTF2", "MCF2L-AS1", "hsa-miR-105-5p", "3.38E-02", "1.78E-01", "7.73E-05"], ["KIF21B", "TMPO-AS1", "hsa-let-7f-5p,hsa-let-7i-5p", "1.44E-03", "9.07E-02", "2.78E-02"], ["KIF21B", "TRG-AS1", "hsa-let-7f-5p,hsa-let-7i-5p", "1.44E-03", "2.88E-01", "3.04E-10"], ["ACLY", "PPP1R26-AS1", "hsa-miR-122-5p", "1.75E-02", "1.79E-01", "6.98E-05"], ["ACLY", "DLEU1", "hsa-miR-124-3p,hsa-miR-1224-5p,hsa-miR-940", "2.05E-02", "1.05E-01", "1.32E-02"], ["ACLY", "TMPO-AS1", "hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p", "4.06E-14", "1.47E-01", "9.60E-04"], ["MSI2", "MCF2L-AS1", "hsa-miR-105-5p", "1.55E-02", "1.77E-01", "8.64E-05"], ["MSI2", "CCDC18-AS1", "hsa-miR-1-3p", "4.59E-02", "1.32E-01", "2.68E-03"], ["MSI2", "SH3BP5-AS1", "hsa-miR-1193", "1.55E-02", "8.47E-02", "3.70E-02"], ["MSI2", "OIP5-AS1", "hsa-let-7a-5p,hsa-miR-105-5p,hsa-miR-1179,hsa-miR-1197,hsa-miR-143-3p", "5.14E-07", "9.54E-02", "2.20E-02"], ["MSI2", "TTC28-AS1", "hsa-miR-103a-3p,hsa-miR-106a-5p", "1.39E-03", "1.11E-01", "9.48E-03"], ["MSI2", "TMPO-AS1", "hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p,hsa-miR-1179", "2.04E-17", "1.26E-01", "3.86E-03"], ["KIF15", "DLEU2", "hsa-miR-193b-3p", "7.75E-03", "6.38E-01", "1.08E-52"], ["KIF15", "HCP5", "hsa-miR-1-3p", "1.85E-02", "2.13E-01", "2.96E-06"], ["FEN1", "TMPO-AS1", "hsa-let-7b-5p", "3.45E-02", "6.20E-01", "4.29E-49"], ["ZFP69B", "DLEU1", "hsa-miR-3714,hsa-miR-125a-3p,hsa-miR-124-3p,hsa-miR-506-3p,hsa-miR-764,hsa-miR-3934-5p,hsa-miR-6893-5p,hsa-miR-3910,hsa-miR-940,hsa-miR-6808-5p", "3.02E-08", "2.33E-01", "3.19E-07"], ["SP6", "HCP5", "hsa-miR-20b-5p,hsa-miR-17-5p", "1.51E-03", "1.02E-01", "1.58E-02"], ["ZNF823", "TMPO-AS1", "hsa-let-7c-5p,hsa-let-7b-5p,hsa-let-7a-5p,hsa-let-7f-5p,hsa-let-7d-5p,hsa-let-7i-5p,hsa-let-7e-5p,hsa-let-7g-5p", "1.45E-14", "3.04E-01", "2.57E-11"], ["ZNF823", "ZFAS1", "hsa-miR-106a-5p,hsa-miR-143-3p", 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