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pmid:30560088

Up-Regulation of hsa-miR-210 Promotes Venous Metastasis and Predicts Poor Prognosis in Hepatocellular Carcinoma.

Jia Ji · Yuan Rong · Chang-Liang Luo · Shuo Li · Xiang Jiang · Hong Weng · Hao Chen · Wu-Wen Zhang · Wen Xie · Fu-Bing Wang

Frontiers in oncology · 2018 doi:10.3389/fonc.2018.00569

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pmid:30560088
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2026-11-01T15:40:39Z
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title
Up-Regulation of hsa-miR-210 Promotes Venous Metastasis and Predicts Poor Prognosis in Hepatocellular Carcinoma.
doi
10.3389/fonc.2018.00569
pmid
30560088
authors array · 10 items
[0]
Jia Ji
[1]
Yuan Rong
[2]
Chang-Liang Luo
[3]
Shuo Li
[4]
Xiang Jiang
[5]
Hong Weng
[6]
Hao Chen
[7]
Wu-Wen Zhang
[8]
Wen Xie
[9]
Fu-Bing Wang
journal
Frontiers in oncology
year
2018
abstract
Objective: To investigate the potential biomarkers for venous metastasis of hepatocellular carcinoma (HCC), and briefly discuss their target genes and the signaling pathways they are involved in. Materials and Method: The dataset GSE6857 was downloaded from GEO. Significantly differentially expressed miRNAs were identified using the R package "limma," After that, the survival analysis was conducted to discover the significance of these up-regulated miRNAs for the prognosis of HCC patients. Additionally, miRNAs which were up-regulated in venous metastasis positive HCC tissues and were significant for the prognosis of HCC patients were further verified in clinical samples using RT-qPCR. The miRNAs were then analyzed for their correlations with clinical characteristics including survival time, AFP level, pathological grade, TNM stage, tumor stage, lymph-node metastasis, distant metastasis, child-pugh score, vascular invasion, liver fibrosis and race using 375 HCC samples downloaded from the TCGA database. The target genes of these miRNAs were obtained using a miRNA target gene prediction database, and their functions were analyzed using the online tool DAVID. Results: 15 miRNAs were differentially expressed in samples with venous metastasis, among which 7 were up-regulated in venous metastasis positive HCC samples. As one of the up-regulated miRNAs, hsa-miR-210 was identified as an independent prognostic factor for HCC. Using RT-qPCR, it was evident that hsa-miR-210 expression was significantly higher in venous metastasis positive HCC samples (p = 0.0036). Further analysis indicated that hsa-miR-210 was positively associated with AFP level, pathological grade, TNM stage, tumor stage and vascular invasion. A total of 168 hsa-miR-210 target genes, which are mainly related to tumor metastasis and tumor signaling pathways, were also predicted in this study. Conclusion: hsa-miR-210 might promote vascular invasion of HCC cells and could be used as a prognostic biomarker.
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Kaplan-Meier survival analysis was conducted for univariate survival analysis, while Cox proportional hazards regression analysis was used for multivariate survival analysis (the analysis method is Forward:LR). The high throughput miRNA data of 375 HCC tissues and corresponding donors' information were downloaded from TCGA (https://cancergenome.nih.gov/).
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sections[12] "Statistical analysis" paragraph 3
quote
Kaplan-Meier survival analysis was conducted for univariate survival analysis, while Cox proportional hazards regression analysis was used for multivariate survival analysis (the analysis method is Forward:LR).
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sections[5] "Screening of prognostic miRNAs" paragraph 2
quote
The high throughput miRNA data of 375 HCC tissues and corresponding donors' information were downloaded from TCGA (https://cancergenome.nih.gov/).
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Primary data and platform annotation file of dataset GSE6857 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6857) were downloaded from GEO. The platform of this dataset is OSU-CCC MicroRNA Microarray Version 2.0 (GPL4700) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL4700). The dataset contains the expression profile of 230 miRNAs in 240 paired HCC tissues and adjacent non-tumor liver tissues, 1 lymph node tissue sample of an HCC patient and 1 normal liver tissue. In this study, we chose 180 HCC tissues without venous metastasis and 60 HCC tissues with venous metastasis to conduct the analysis.
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sections[4] "Screening of venous metastasis-related miRNAs" paragraph 2
quote
Primary data and platform annotation file of dataset GSE6857 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6857) were downloaded from GEO. The platform of this dataset is OSU-CCC MicroRNA Microarray Version 2.0 (GPL4700) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL4700). The dataset contains the expression profile of 230 miRNAs in 240 paired HCC tissues and adjacent non-tumor liver tissues, 1 lymph node tissue sample of an HCC patient and 1 normal liver tissue. In this study, we chose 180 HCC tissues without venous metastasis and 60 HCC tissues with venous metastasis to conduct the analysis.
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Primary data and platform annotation file of dataset GSE6857 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6857) were downloaded from GEO. The platform of this dataset is OSU-CCC MicroRNA Microarray Version 2.0 (GPL4700) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL4700). The dataset contains the expression profile of 230 miRNAs in 240 paired HCC tissues and adjacent non-tumor liver tissues, 1 lymph node tissue sample of an HCC patient and 1 normal liver tissue. In this study, we chose 180 HCC tissues without venous metastasis and 60 HCC tissues with venous metastasis to conduct the analysis.
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GSM338143
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482
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null
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null
platform
4700
taxon
Mus musculus; Homo sapiens
title
Unique MicroRNA Expression Signature Predicts Survival, Metastases and Recurrence of HCC
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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section[14]/table-wrap[1]#T1
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Significantly differentially expressed miRNAs in venous metastasis positive HCC tissues.
structure object · 5 fields
pmcid
PMC6287006
section_index
14
section_title
Venous metastasis-related miRNAs in HCC
row_count
17
column_count
4
table object · 8 fields
label
Table 1
caption
Significantly differentially expressed miRNAs in venous metastasis positive HCC tissues.
rows array · 17 items
[0] array · 2 items
[0]
miRNA
[1]
Screening dataset
[1] array · 4 items
[0]
[1]
Log FC
[2]
Adj P-value
[3]
Type
[2] array · 4 items
[0]
hsa-miR-301
[1]
0.842786
[2]
0.000267078
[3]
Up
[3] array · 4 items
[0]
hsa-let-7e
[1]
0.847988
[2]
9.04E-11
[3]
Up
[4] array · 4 items
[0]
hsa-let-7b
[1]
0.850236
[2]
2.94E-12
[3]
Up
[5] array · 4 items
[0]
hsa-miR-31
[1]
0.853136
[2]
5.34E-07
[3]
Up
[6] array · 4 items
[0]
hsa-miR-210
[1]
0.868472
[2]
1.68E-06
[3]
Up
[7] array · 4 items
[0]
hsa-miR-371
[1]
0.991324
[2]
1.92E-10
[3]
Up
[8] array · 4 items
[0]
hsa-miR-183
[1]
1.027867
[2]
1.14E-05
[3]
Up
[9] array · 4 items
[0]
hsa-miR-367
[1]
−1.08021
[2]
1.81E-06
[3]
Down
[10] array · 4 items
[0]
hsa-miR-22
[1]
−0.9947
[2]
0.00055601
[3]
Down
[11] array · 4 items
[0]
hsa-miR-182
[1]
−0.94816
[2]
0.00023209
[3]
Down
[12] array · 4 items
[0]
hsa-miR-100
[1]
−0.94307
[2]
9.38E-07
[3]
Down
[13] array · 4 items
[0]
hsa-miR-1b-1
[1]
−0.87813
[2]
0.00015521
[3]
Down
[14] array · 4 items
[0]
hsa-miR-101
[1]
−0.84328
[2]
0.000209509
[3]
Down
[15] array · 4 items
[0]
hsa-miR-124a-1
[1]
−0.81885
[2]
2.27E-08
[3]
Down
[16] array · 4 items
[0]
hsa-miR-101
[1]
−0.80452
[2]
9.15E-10
[3]
Down
locator
section[14]/table-wrap[1]#T1
[3] object · 16 fields
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asset:table:pmid:30560088:2
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table
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jats-table
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application/vnd.jats.table+json
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section[16]/table-wrap[1]#T2
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Univariate analysis of factors affecting overall survival of HCC patients.
structure object · 5 fields
pmcid
PMC6287006
section_index
16
section_title
hsa-miR-210 is an independent prognostic factor for HCC
row_count
32
column_count
4
table object · 8 fields
label
Table 2
caption
Univariate analysis of factors affecting overall survival of HCC patients.
rows array · 32 items
[0] array · 4 items
[0]
Variable
[1]
Group
[2]
Case number
[3]
P
[1] array · 4 items
[0]
Age
[1]
< 50
[2]
71
[3]
0.173
[2] array · 4 items
[0]
[1]
≥50
[2]
301
[3]
[3] array · 4 items
[0]
Gender
[1]
Male
[2]
253
[3]
0.309
[4] array · 4 items
[0]
[1]
Female
[2]
119
[3]
[5] array · 4 items
[0]
AFP
[1]
< 20
[2]
150
[3]
0.019
[6] array · 4 items
[0]
[1]
≥20
[2]
130
[3]
[7] array · 4 items
[0]
Grade
[1]
1
[2]
55
[3]
0.858
[8] array · 4 items
[0]
[1]
2
[2]
176
[3]
[9] array · 4 items
[0]
[1]
3
[2]
123
[3]
[10] array · 4 items
[0]
[1]
4
[2]
13
[3]
[11] array · 4 items
[0]
TNM stage
[1]
I
[2]
173
[3]
0.000
[12] array · 4 items
[0]
[1]
II
[2]
85
[3]
[13] array · 4 items
[0]
[1]
III
[2]
85
[3]
[14] array · 4 items
[0]
[1]
IV
[2]
5
[3]
[15] array · 4 items
[0]
Tumor stage
[1]
T1
[2]
183
[3]
0.000
[16] array · 4 items
[0]
[1]
T2
[2]
93
[3]
[17] array · 4 items
[0]
[1]
T3
[2]
80
[3]
[18] array · 4 items
[0]
[1]
T4
[2]
13
[3]
[19] array · 4 items
[0]
Lymph-node metastasis
[1]
N0
[2]
254
[3]
0.317
[20] array · 4 items
[0]
[1]
N1
[2]
4
[3]
[21] array · 4 items
[0]
Distant metastasis
[1]
M0
[2]
269
[3]
0.01
[22] array · 4 items
[0]
[1]
M1
[2]
4
[3]
[23] array · 4 items
[0]
Child-pugh
[1]
A
[2]
219
[3]
0.357
[24] array · 4 items
[0]
[1]
B
[2]
21
[3]
[25] array · 4 items
[0]
[1]
C
[2]
1
[3]
[26] array · 4 items
[0]
Liver fibrosis
[1]
No
[2]
75
[3]
0.316
[27] array · 4 items
[0]
[1]
Yes
[2]
139
[3]
[28] array · 4 items
[0]
Vascular invasion
[1]
No
[2]
206
[3]
0.162
[29] array · 4 items
[0]
[1]
Yes
[2]
110
[3]
[30] array · 4 items
[0]
Race
[1]
Asian
[2]
160
[3]
0.129
[31] array · 4 items
[0]
[1]
Others
[2]
202
[3]
locator
section[16]/table-wrap[1]#T2
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asset:table:pmid:30560088:3
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jats-table
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application/vnd.jats.table+json
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sha256:4c6cfa8d2c4f99ed56e5af4f5408dfeabab6549c08faea4e4d027169360b4bcf
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read_table
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section[16]/table-wrap[2]#T3
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Cox proportional hazards regression analysis of factors affecting overall survival of HCC patients.
structure object · 5 fields
pmcid
PMC6287006
section_index
16
section_title
hsa-miR-210 is an independent prognostic factor for HCC
row_count
3
column_count
6
table object · 8 fields
label
Table 3
caption
Cox proportional hazards regression analysis of factors affecting overall survival of HCC patients.
rows array · 3 items
[0] array · 6 items
[0]
Variable
[1]
B
[2]
SE
[3]
Sig.
[4]
HR
[5]
95% CI
[1] array · 6 items
[0]
hsa-miR-210
[1]
0.966
[2]
0.280
[3]
0.001
[4]
2.627
[5]
1.516–4.551
[2] array · 6 items
[0]
Distant metastasis
[1]
1.638
[2]
0.602
[3]
0.007
[4]
5.146
[5]
1.580–16.760
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section[16]/table-wrap[2]#T3
[5] object · 16 fields
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asset:table:pmid:30560088:4
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table
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jats-table
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null
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sha256:710b61b2ca216960d736bbcf1c14f9b1bf14a9e7d31e4d5efe05a4e4d9dfe21d
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read_table
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section[18]/table-wrap[1]#T4
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null
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The relationship between hsa-mir-210 and the clinicopathological variables of HCC.
structure object · 5 fields
pmcid
PMC6287006
section_index
18
section_title
The correlation of hsa-miR-210 with HCC clinicopathological variables
row_count
26
column_count
5
table object · 8 fields
label
Table 4
caption
The relationship between hsa-mir-210 and the clinicopathological variables of HCC.
rows array · 26 items
[0] array · 4 items
[0]
[1]
Group
[2]
Case
[3]
hsa-miR-210
[1] array · 5 items
[0]
[1]
[2]
[3]
R
[4]
p
[2] array · 5 items
[0]
Age
[1]
< 50
[2]
71
[3]
0.072
[4]
0.164
[3] array · 5 items
[0]
[1]
≥50
[2]
300
[3]
[4]
[4] array · 5 items
[0]
Gender
[1]
Male
[2]
253
[3]
0.093
[4]
0.074
[5] array · 5 items
[0]
[1]
Female
[2]
119
[3]
[4]
[6] array · 5 items
[0]
AFP
[1]
< 20
[2]
150
[3]
0.095
[4]
0.112
[7] array · 5 items
[0]
[1]
≥20
[2]
131
[3]
[4]
[8] array · 5 items
[0]
Grade
[1]
1
[2]
55
[3]
0.144
[4]
0.006
[9] array · 5 items
[0]
[1]
2–4
[2]
313
[3]
[4]
[10] array · 5 items
[0]
TNM stage
[1]
I–II
[2]
258
[3]
0.197
[4]
0.00
[11] array · 5 items
[0]
[1]
III–IV
[2]
90
[3]
[4]
[12] array · 5 items
[0]
Tumor stage
[1]
T0–T1
[2]
182
[3]
0.162
[4]
0.002
[13] array · 5 items
[0]
[1]
T2–T4
[2]
187
[3]
[4]
[14] array · 5 items
[0]
Lymph-node metastasis
[1]
N0
[2]
254
[3]
0.061
[4]
0.332
[15] array · 5 items
[0]
[1]
N1
[2]
4
[3]
[4]
[16] array · 5 items
[0]
Distant metastasis
[1]
M0
[2]
269
[3]
−0.005
[4]
0.934
[17] array · 5 items
[0]
[1]
M1
[2]
4
[3]
[4]
[18] array · 5 items
[0]
Child-pugh
[1]
A
[2]
220
[3]
0.028
[4]
0.67
[19] array · 5 items
[0]
[1]
B–C
[2]
22
[3]
[4]
[20] array · 5 items
[0]
Liver fibrosis
[1]
No
[2]
75
[3]
−0.087
[4]
0.206
[21] array · 5 items
[0]
[1]
Yes
[2]
140
[3]
[4]
[22] array · 5 items
[0]
Vascular invasion
[1]
No
[2]
206
[3]
0.135
[4]
0.016
[23] array · 5 items
[0]
[1]
Yes
[2]
111
[3]
[4]
[24] array · 5 items
[0]
Race
[1]
Asian
[2]
160
[3]
−0.024
[4]
0.647
[25] array · 5 items
[0]
[1]
Others
[2]
202
[3]
[4]
locator
section[18]/table-wrap[1]#T4
gaps array · 2 items
[0]
asset:data:geo:GSE6857 not downloaded
[1]
asset:data:geo:GSE6857 licence not read
analysis object · 4 fields
state
partial
methods array · 8 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
1
band
reordered
quote
Kaplan-Meier survival analysis was conducted for univariate survival analysis, while Cox proportional hazards regression analysis was used for multivariate survival analysis (the analysis method is Forward:LR). The high throughput miRNA data of 375 HCC tissues and corresponding donors' information were downloaded from TCGA (https://cancergenome.nih.gov/).
[1] object · 10 fields
id
method-2
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group_comparison
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student_t_test
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Group comparison
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missing_operations array · 1 item
[0]
student_t
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false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
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high
quote
Student's t-test
[2] object · 10 fields
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method-3
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group_comparison
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mann_whitney
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Group comparison
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missing_operations array · 1 item
[0]
group_comparison_mann_whitney
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
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high
quote
Mann Whitney
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method-4
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survival_analysis
specific
cox_proportional_hazards
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Survival analysis
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[0]
cox_ph
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parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
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quote
Cox proportional hazards
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method-5
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survival_analysis
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Survival analysis
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[0]
logrank_test
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
0.8
band
high
quote
log-rank
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method-6
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differential_expression
specific
edger
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Differential expression analysis
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[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
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[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
edgeR
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method-7
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differential_expression
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Differential expression analysis
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[0]
normalise_counts
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differential_expression_fit
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fdr_bh
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count_matrix_with_condition
evidence object · 3 fields
score
0.7
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quote
limma
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method-8
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Correlation analysis
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[0]
spearman_rho
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[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
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high
quote
Spearman's rank correlation
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method.reader_differs_from_extractor
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complete
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capability:computational_analysis
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Computational analysis platform
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[0]
meta_analysis
[1]
machine_learning
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survival_analysis
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[4]
pca
[5]
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network_analysis
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differential_expression
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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nothing:replicable_now
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tier
R1
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survival_km
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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
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R1
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capability:computational_analysis
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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
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[0]
GSE6857
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[0]
GSE6857
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[0]
Primary data and platform annotation file of dataset GSE6857 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6857) were downloaded from GEO. The platform of this dataset is OSU-CCC MicroRNA Microarray Version 2.0 (GPL4700) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL4700). The dataset contains the expression profile of 230 miRNAs in 240 paired HCC tissues and adjacent non-tumor liver tissues, 1 lymph node tissue sample of an HCC patient and 1 normal liver tissue. In this study, we chose 180 HCC tissues without venous metastasis and 60 HCC tissues with venous metastasis to conduct the analysis.
basis
The paper names GSE6857 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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survival_km
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[0]
source:pmid:30560088
[1]
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asset:table:pmid:30560088:4
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run_analysis
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data:geo:GSE6857
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MiniMax-M3.1-Flash
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minimax
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minimax
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2026-10-31T18:13:26Z
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single_reader
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null
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3
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33948
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2012
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11272
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extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
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execution.not_run
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pmid:30560088
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pmid:30560088
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source:pmid:30560088
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PMID 30560088 full text
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data:geo:GSE6857
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GEO GSE6857
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PMID 30560088 full text
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GEO GSE6857
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sha256:71a96160ef952bc5ef198f1f0314f79650a168b895573ec7c45daabb64e4510c
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asset:data:geo:GSE6857 licence not read
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asset:data:geo:GSE6857 not downloaded
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e further verified in clinical samples using RT-qPCR. The miRNAs were then analyzed for their cor
[1]
independent prognostic factor for HCC. Using RT-qPCR, it was evident that hsa-miR-210 expression
[2]
urther verified in clinical samples using RT-qPCR. The miRNAs were then analyzed for their cor
[3]
ependent prognostic factor for HCC. Using RT-qPCR, it was evident that hsa-miR-210 expression
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nificantly differentially expressed genes in microarray data were analyzed using R package “limma,”
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Kaplan-Meier survival analysis was conducted for univariate survival analysis, while Cox proportional hazards regression analysis was used for multivariate survival analysis (the analysis method is Forward:LR). The high throughput miRNA data of 375 HCC tissues and corresponding donors' information were downloaded from TCGA (https://cancergenome.nih.gov/).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30560088", "kind": "science-record", "revision": 9, "content_hash": "sha256:bc15a5cf38c8f118e11c0f4fd47e1594b9111be52404609b20dd61e3ae80edc6", "created_at": "2026-11-01T15:40:39Z", "updated_at": "2026-11-01T22:43:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Up-Regulation of hsa-miR-210 Promotes Venous Metastasis and Predicts Poor Prognosis in Hepatocellular Carcinoma.", "doi": "10.3389/fonc.2018.00569", "pmid": "30560088", "authors": ["Jia Ji", "Yuan Rong", "Chang-Liang Luo", "Shuo Li", "Xiang Jiang", "Hong Weng", "Hao Chen", "Wu-Wen Zhang", "Wen Xie", "Fu-Bing Wang"], "journal": "Frontiers in oncology", "year": 2018, "abstract": "Objective: To investigate the potential biomarkers for venous metastasis of hepatocellular carcinoma (HCC), and briefly discuss their target genes and the signaling pathways they are involved in. Materials and Method: The dataset GSE6857 was downloaded from GEO. Significantly differentially expressed miRNAs were identified using the R package \"limma,\" After that, the survival analysis was conducted to discover the significance of these up-regulated miRNAs for the prognosis of HCC patients. Additionally, miRNAs which were up-regulated in venous metastasis positive HCC tissues and were significant for the prognosis of HCC patients were further verified in clinical samples using RT-qPCR. The miRNAs were then analyzed for their correlations with clinical characteristics including survival time, AFP level, pathological grade, TNM stage, tumor stage, lymph-node metastasis, distant metastasis, child-pugh score, vascular invasion, liver fibrosis and race using 375 HCC samples downloaded from the TCGA database. The target genes of these miRNAs were obtained using a miRNA target gene prediction database, and their functions were analyzed using the online tool DAVID. Results: 15 miRNAs were differentially expressed in samples with venous metastasis, among which 7 were up-regulated in venous metastasis positive HCC samples. As one of the up-regulated miRNAs, hsa-miR-210 was identified as an independent prognostic factor for HCC. Using RT-qPCR, it was evident that hsa-miR-210 expression was significantly higher in venous metastasis positive HCC samples (p = 0.0036). Further analysis indicated that hsa-miR-210 was positively associated with AFP level, pathological grade, TNM stage, tumor stage and vascular invasion. A total of 168 hsa-miR-210 target genes, which are mainly related to tumor metastasis and tumor signaling pathways, were also predicted in this study. Conclusion: hsa-miR-210 might promote vascular invasion of HCC cells and could be used as a prognostic biomarker.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier survival analysis was conducted for univariate survival analysis, while Cox proportional hazards regression analysis was used for multivariate survival analysis (the analysis method is Forward:LR). The high throughput miRNA data of 375 HCC tissues and corresponding donors' information were downloaded from TCGA (https://cancergenome.nih.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30560088", "locator": "sections[12] \"Statistical analysis\" paragraph 3", "quote": "Kaplan-Meier survival analysis was conducted for univariate survival analysis, while Cox proportional hazards regression analysis was used for multivariate survival analysis (the analysis method is Forward:LR)."}, {"asset": "source:pmid:30560088", "locator": "sections[5] \"Screening of prognostic miRNAs\" paragraph 2", "quote": "The high throughput miRNA data of 375 HCC tissues and corresponding donors' information were downloaded from TCGA (https://cancergenome.nih.gov/)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Primary data and platform annotation file of dataset GSE6857 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6857) were downloaded from GEO. The platform of this dataset is OSU-CCC MicroRNA Microarray Version 2.0 (GPL4700) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL4700). The dataset contains the expression profile of 230 miRNAs in 240 paired HCC tissues and adjacent non-tumor liver tissues, 1 lymph node tissue sample of an HCC patient and 1 normal liver tissue. In this study, we chose 180 HCC tissues without venous metastasis and 60 HCC tissues with venous metastasis to conduct the analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30560088", "locator": "sections[4] \"Screening of venous metastasis-related miRNAs\" paragraph 2", "quote": "Primary data and platform annotation file of dataset GSE6857 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6857) were downloaded from GEO. The platform of this dataset is OSU-CCC MicroRNA Microarray Version 2.0 (GPL4700) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL4700). The dataset contains the expression profile of 230 miRNAs in 240 paired HCC tissues and adjacent non-tumor liver tissues, 1 lymph node tissue sample of an HCC patient and 1 normal liver tissue. In this study, we chose 180 HCC tissues without venous metastasis and 60 HCC tissues with venous metastasis to conduct the analysis."}], "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:30560088"], "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:GSE6857"], "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:GSE6857"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30560088", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fonc.2018.00569", "sha256": "sha256:3cde0f2004c747839162823c13d1623eed766fe47dd1843dc227c2cb6b714d65", "bytes": 40937, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fonc.2018.00569", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6287006", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE6857", "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=GSE6857", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE6857", "version": null, "note": "Primary data and platform annotation file of dataset GSE6857 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE6857) were downloaded from GEO. 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The dataset contains the expression profile of 230 miRNAs in 240 paired HCC tissues and adjacent non-tumor liver tissues, 1 lymph node tissue sample of an HCC patient and 1 normal liver tissue. 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"structure": {"pmcid": "PMC6287006", "section_index": 16, "section_title": "hsa-miR-210 is an independent prognostic factor for HCC", "row_count": 3, "column_count": 6}, "table": {"label": "Table 3", "caption": "Cox proportional hazards regression analysis of factors affecting overall survival of HCC patients.", "rows": [["Variable", "B", "SE", "Sig.", "HR", "95% CI"], ["hsa-miR-210", "0.966", "0.280", "0.001", "2.627", "1.516–4.551"], ["Distant metastasis", "1.638", "0.602", "0.007", "5.146", "1.580–16.760"]], "row_count": 3, "column_count": 6, "numeric_cells": 12, "header_rows": 1, "locator": "section[16]/table-wrap[2]#T3"}}, {"id": "asset:table:pmid:30560088:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:710b61b2ca216960d736bbcf1c14f9b1bf14a9e7d31e4d5efe05a4e4d9dfe21d", "bytes": 1100, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[18]/table-wrap[1]#T4", "version": null, "note": "The relationship between hsa-mir-210 and the clinicopathological variables of HCC.", "structure": {"pmcid": "PMC6287006", "section_index": 18, "section_title": "The correlation of hsa-miR-210 with HCC clinicopathological variables", "row_count": 26, "column_count": 5}, "table": {"label": "Table 4", "caption": "The relationship between hsa-mir-210 and the clinicopathological variables of HCC.", "rows": [["", "Group", "Case", "hsa-miR-210"], ["", "", "", "R", "p"], ["Age", "< 50", "71", "0.072", "0.164"], ["", "≥50", "300", "", ""], ["Gender", "Male", "253", "0.093", "0.074"], ["", "Female", "119", "", ""], ["AFP", "< 20", "150", "0.095", "0.112"], ["", "≥20", "131", "", ""], ["Grade", "1", "55", "0.144", "0.006"], ["", "2–4", "313", "", ""], ["TNM stage", "I–II", "258", "0.197", "0.00"], ["", "III–IV", "90", "", ""], ["Tumor stage", "T0–T1", "182", "0.162", "0.002"], ["", "T2–T4", "187", "", ""], ["Lymph-node metastasis", "N0", 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