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pmid:31660262

Identification of a five-miRNA signature predicting survival in cutaneous melanoma cancer patients.

Tao Lu · Shuang Chen · Le Qu · Yunlin Wang · Hong-Duo Chen · Chundi He

PeerJ · 2019 doi:10.7717/peerj.7831

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Experiment

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:31660262
kind
science-record
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sha256:d03c05ebc00ca10b7f9e848b0d340e9a2633c5212875952c10e88627c73a76c6
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created_at
2026-11-01T15:40:51Z
updated_at
2026-11-01T21:22:34Z
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paper object · 10 fields
state
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title
Identification of a five-miRNA signature predicting survival in cutaneous melanoma cancer patients.
doi
10.7717/peerj.7831
pmid
31660262
authors array · 6 items
[0]
Tao Lu
[1]
Shuang Chen
[2]
Le Qu
[3]
Yunlin Wang
[4]
Hong-Duo Chen
[5]
Chundi He
journal
PeerJ
year
2019
abstract
BACKGROUND: Cutaneous melanoma (CM) is the deadliest form of skin cancer. Numerous studies have revealed that microRNAs (miRNAs) are expressed abnormally in melanoma tissues. Our work aimed to assess multiple miRNAs using bioinformatic analysis in order to predict the prognoses of cutaneous melanoma patients. METHODS: The microarray dataset GSE35579 was downloaded from the Gene Expression Omnibus (GEO) database to detect the differential expression of miRNAs (DEMs), including 41 melanoma (primary and metastatic) tissues and 11 benign nevi. Clinical information and miRNA sequencing data of cutaneous melanoma tissues were downloaded from the Cancer Genome Atlas database (TCGA) to assess the prognostic values of DEMs. Additionally, the target genes of DEMs were anticipated using miRanda, miRmap, TargetScan, and PicTar. Finally, functional analysis was performed using selected target genes on the Annotation, Visualization and Integrated Discovery (DAVID) website. RESULTS: After performing bioinformatic analysis, a total of 185 DEMs were identified: 80 upregulated miRNAs and 105 downregulated miRNAs. A five-miRNA (miR-25, miR-204, miR-211, miR-510, miR-513c) signature was discovered to be a potential significant prognostic biomarker of cutaneous melanoma when using the Kaplan-Meier survival method (P = 0.001). Univariate and multivariate Cox regression analyses showed that the five-miRNA signature could be an independent prognostic marker (HR = 0.605, P = 0.006) in cutaneous melanoma patients. Biological pathway analysis indicated that the target genes may be involved in PI3K-Akt pathways, ubiquitin-mediated proteolysis, and focal adhesion. CONCLUSION: The identified five-miRNA signature may serve as a prognostic biomarker, or as a potential therapeutic target, in cutaneous melanoma patients.
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The following information was supplied regarding data availability: The raw measurements are available in the Supplemental Files.
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sections[25] "Data Availability Statement" paragraphs 1-3
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The following information was supplied regarding data availability: The raw measurements are available in the Supplemental Files.
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the published estimate and its evidence
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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Run the published analysis
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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The following information was supplied regarding data availability: The raw measurements are available in the Supplemental Files.
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The following information was supplied regarding data availability: The raw measurements are available in the Supplemental Files.
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050209-miRNA Melanoma miRNA microarray
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Clinical feature of melanoma patients from TCGA.
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DEM identification and construction of a five-miRNA signature
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Table 1
caption
Clinical feature of melanoma patients from TCGA.
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[0]
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Case, n (%)
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[0]
Age at diagnosis (yr)
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<60
[1]
241
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221
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NA
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8
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290
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180
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T0
[1]
23
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42
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90
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T4 (a + b)
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143
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[1]
8
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TX
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47
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NA
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29
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140
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I/II NOS
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[1]
171
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Stage IV
[1]
23
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NA
[1]
38
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[1]
235
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[0]
N1–3
[1]
178
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[0]
Nx
[1]
36
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[0]
NA
[1]
21
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[0]
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[1]
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[0]
M0
[1]
418
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[0]
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24
[33] array · 2 items
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NA
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28
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The prognostic related differentially expressed miRNAs identifed between melanoma and nevi.
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9
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DEM identification and construction of a five-miRNA signature
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Table 2
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The prognostic related differentially expressed miRNAs identifed between melanoma and nevi.
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[0]
Down-regulation DEMs
[1]
P-value
[2]
Up-regulation
[3]
P-value
[1] array · 4 items
[0]
hsa-miR-211
[1]
0.033
[2]
hsa-miR-25
[3]
0.004
[2] array · 4 items
[0]
hsa-miR-204
[1]
0.001
[2]
[3]
[3] array · 4 items
[0]
hsa-miR-510
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0.007
[2]
[3]
[4] array · 4 items
[0]
hsa-miR-513c
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0.014
[2]
[3]
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Association between the five miRNAs and melanoma cancer clinical characters.
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pmcid
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section_index
9
section_title
DEM identification and construction of a five-miRNA signature
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Table 3
caption
Association between the five miRNAs and melanoma cancer clinical characters.
rows array · 23 items
[0] array · 11 items
[0]
Variables
[1]
miR-25 expression
[2]
[3]
miR-204 expression
[4]
[5]
miR-211 expression
[6]
[7]
miR-510 expression
[8]
[9]
miR-513c expression
[10]
[1] array · 16 items
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[1]
Low
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P
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[0]
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[1]
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[5]
[6]
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[8]
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[15]
[3] array · 16 items
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[1]
124
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92
[5]
138
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122
[8]
108
[9]
0.175
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119
[11]
111
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0.379
[13]
115
[14]
115
[15]
0.755
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89
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109
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[4]
118
[5]
80
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92
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106
[9]
[10]
94
[11]
104
[12]
[13]
96
[14]
102
[15]
[5] array · 16 items
[0]
Gender
[1]
[2]
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[4]
[5]
[6]
[7]
[8]
[9]
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[12]
[13]
[14]
[15]
[6] array · 16 items
[0]
Female
[1]
80
[2]
81
[3]
0.980
[4]
83
[5]
78
[6]
0.424
[7]
73
[8]
88
[9]
0.134
[10]
76
[11]
85
[12]
0.411
[13]
73
[14]
88
[15]
0.203
[7] array · 16 items
[0]
Male
[1]
133
[2]
134
[3]
[4]
127
[5]
140
[6]
[7]
141
[8]
126
[9]
[10]
137
[11]
130
[12]
[13]
138
[14]
129
[15]
[8] array · 16 items
[0]
T stage
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[2]
[3]
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[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[9] array · 16 items
[0]
T1 + T2
[1]
75
[2]
62
[3]
0.157
[4]
54
[5]
83
[6]
0.004*
[7]
84
[8]
53
[9]
<0.000*
[10]
79
[11]
58
[12]
0.003*
[13]
75
[14]
62
[15]
0.037*
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[0]
T3 + T4
[1]
103
[2]
116
[3]
[4]
121
[5]
98
[6]
[7]
89
[8]
130
[9]
[10]
91
[11]
128
[12]
[13]
95
[14]
124
[15]
[11] array · 16 items
[0]
Lymph node status
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[12] array · 16 items
[0]
N0
[1]
106
[2]
108
[3]
0.758
[4]
107
[5]
107
[6]
0.955
[7]
107
[8]
107
[9]
0.955
[10]
109
[11]
105
[12]
0.811
[13]
103
[14]
111
[15]
0.516
[13] array · 16 items
[0]
N1–2
[1]
82
[2]
89
[3]
[4]
86
[5]
85
[6]
[7]
85
[8]
86
[9]
[10]
85
[11]
86
[12]
[13]
88
[14]
83
[15]
[14] array · 16 items
[0]
Mestasis
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[15] array · 16 items
[0]
M0
[1]
192
[2]
193
[3]
0.841
[4]
189
[5]
196
[6]
0.769
[7]
188
[8]
197
[9]
0.243
[10]
193
[11]
192
[12]
0.823
[13]
188
[14]
197
[15]
0.458
[16] array · 16 items
[0]
M1
[1]
10
[2]
11
[3]
[4]
11
[5]
10
[6]
[7]
13
[8]
8
[9]
[10]
10
[11]
11
[12]
[13]
12
[14]
9
[15]
[17] array · 16 items
[0]
Clinical stage
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[18] array · 16 items
[0]
I + II
[1]
107
[2]
95
[3]
0.166
[4]
102
[5]
100
[6]
0.715
[7]
97
[8]
105
[9]
0.512
[10]
97
[11]
105
[12]
0.738
[13]
93
[14]
109
[15]
0.250
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[0]
III + IV
[1]
84
[2]
99
[3]
[4]
89
[5]
94
[6]
[7]
94
[8]
89
[9]
[10]
91
[11]
92
[12]
[13]
95
[14]
88
[15]
[20] array · 16 items
[0]
Breslow depth value (mm)
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
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[10]
[11]
[12]
[13]
[14]
[15]
[21] array · 16 items
[0]
<3
[1]
83
[2]
77
[3]
0.255
[4]
70
[5]
90
[6]
0.041*
[7]
91
[8]
69
[9]
<0.000*
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91
[11]
69
[12]
<0.000*
[13]
84
[14]
76
[15]
0.015*
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93
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[4]
94
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77
[6]
[7]
61
[8]
110
[9]
[10]
61
[11]
110
[12]
[13]
67
[14]
104
[15]
locator
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TCGA univariable and multivariable Cox regression analysis.
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PMC6814066
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DEM identification and construction of a five-miRNA signature
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5
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Table 4
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TCGA univariable and multivariable Cox regression analysis.
rows array · 10 items
[0] array · 3 items
[0]
Variables
[1]
Univariate analysis
[2]
Multivariate analysis
[1] array · 5 items
[0]
[1]
HR (95% CI)
[2]
P value
[3]
HR (95% CI)
[4]
P value
[2] array · 5 items
[0]
Age at diagnosis (≥60 vs. <60)
[1]
1.563 (1.166–2.096)
[2]
0.003*
[3]
1.199(0.839–1.714)
[4]
0.319
[3] array · 5 items
[0]
T stage (T3 + T4 vs. T1 + T2)
[1]
0.443(0 .316-0.622)
[2]
<0.000*
[3]
0.825(0.468–1.456)
[4]
0.507
[4] array · 5 items
[0]
N stage (N1–2 vs. N0)
[1]
0.517(0.380–0.703)
[2]
<0.000*
[3]
0.246(0.087–0.699)
[4]
0.008*
[5] array · 5 items
[0]
M stage (M1 vs. M0)
[1]
0.554(0.292–1.051)
[2]
0.071
[3]
0.616(0.218–1.741)
[4]
0.361
[6] array · 5 items
[0]
Clinical stage (III + IV vs. I + II)
[1]
0.543(0.399–0.738)
[2]
<0.000*
[3]
1.986(0.691–5.708)
[4]
0.203
[7] array · 5 items
[0]
Gender (Male vs. Female)
[1]
0.997(0.734–1.355)
[2]
0.986
[3]
1.040 (0.726–1.491)
[4]
0.830
[8] array · 5 items
[0]
Breslow depth value (≥3 mm vs. <3 mm)
[1]
0.370(0.265–0.518)
[2]
<0.000*
[3]
0.509(0.302–0.859)
[4]
0.011*
[9] array · 5 items
[0]
Five-miRNA signature (high risk vs. low risk)
[1]
0.613(0.456–0.823)
[2]
0.001*
[3]
0.605(0.424–0.863)
[4]
0.006*
locator
section[9]/table-wrap[4]#table-4
gaps array · 2 items
[0]
asset:data:geo:GSE35579 not downloaded
[1]
asset:data:geo:GSE35579 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
reordered
quote
“The DEM expression profiles acquired from TCGA, after being log2 transformed, were assessed with the Kaplan–Meier method and a log-rank test to preliminarily identify the miRNAs that were associated with patient survival.”
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[2] object · 10 fields
id
method-3
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 · 1 field
hazard_ratio
dent prognostic marker (HR = 0
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Cox regression
[3] object · 10 fields
id
method-4
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
chi-square
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]
logrank_test
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: log_rank_test.
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 · 1 item
[0]
GSE35579
resolved_accessions array · 1 item
[0]
GSE35579
statements array · 1 item
[0]
The following information was supplied regarding data availability: The raw measurements are available in the Supplemental Files.
basis
The paper names GSE35579 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]
logrank_test
assets array · 6 items
[0]
source:pmid:31660262
[1]
data:geo:GSE35579
[2]
asset:table:pmid:31660262:1
[3]
asset:table:pmid:31660262:2
[4]
asset:table:pmid:31660262:3
[5]
asset:table:pmid:31660262:4
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:GSE35579
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
2026-10-31T18:16:35Z
independence
single_reader
evidence_check object · 2 fields
method
reordered
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
42076
completion_tokens
1506
cached_tokens
793
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:31660262
type
paper
label
pmid:31660262
[1] object · 3 fields
id
source:pmid:31660262
type
manuscript
label
PMID 31660262 full text
[2] object · 3 fields
id
data:geo:GSE35579
type
dataset
label
GEO GSE35579
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:31660262
type
paper
label
pmid:31660262
[1] object · 3 fields
id
source:pmid:31660262
type
manuscript
label
PMID 31660262 full text
[2] object · 3 fields
id
data:geo:GSE35579
type
dataset
label
GEO GSE35579
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31660262
type
extraction
used array · 1 item
[0]
source:pmid:31660262
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE35579
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE35579
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:31660262
parent_hash
sha256:59ed33dd53ded569c92731de7ca2ef4afd73bcaac164b585a88e22843efc06e4
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE35579 licence not read
[1]
asset:data:geo:GSE35579 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
of cutaneous melanoma patients. METHODS: The microarray dataset GSE35579 was downloaded from the Gen
order_basis
paper_text_order:379
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
clinical_cohort
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
l survival) time <1 month, the remaining 428 patients were divided into high-risk and low-risk groups a
[1]
nths as the end of our observation time, and patients with a survival period of more than 120 months we
order_basis
paper_text_order:2252
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
logrank_test
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
“The DEM expression profiles acquired from TCGA, after being log2 transformed, were assessed with the Kaplan–Meier method and a log-rank test to preliminarily identify the miRNAs that were associated with patient survival.”
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31660262", "kind": "science-record", "revision": 6, "content_hash": "sha256:d03c05ebc00ca10b7f9e848b0d340e9a2633c5212875952c10e88627c73a76c6", "created_at": "2026-11-01T15:40:51Z", "updated_at": "2026-11-01T21:22:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of a five-miRNA signature predicting survival in cutaneous melanoma cancer patients.", "doi": "10.7717/peerj.7831", "pmid": "31660262", "authors": ["Tao Lu", "Shuang Chen", "Le Qu", "Yunlin Wang", "Hong-Duo Chen", "Chundi He"], "journal": "PeerJ", "year": 2019, "abstract": "BACKGROUND: Cutaneous melanoma (CM) is the deadliest form of skin cancer. Numerous studies have revealed that microRNAs (miRNAs) are expressed abnormally in melanoma tissues. Our work aimed to assess multiple miRNAs using bioinformatic analysis in order to predict the prognoses of cutaneous melanoma patients.\nMETHODS: The microarray dataset GSE35579 was downloaded from the Gene Expression Omnibus (GEO) database to detect the differential expression of miRNAs (DEMs), including 41 melanoma (primary and metastatic) tissues and 11 benign nevi. Clinical information and miRNA sequencing data of cutaneous melanoma tissues were downloaded from the Cancer Genome Atlas database (TCGA) to assess the prognostic values of DEMs. Additionally, the target genes of DEMs were anticipated using miRanda, miRmap, TargetScan, and PicTar. Finally, functional analysis was performed using selected target genes on the Annotation, Visualization and Integrated Discovery (DAVID) website.\nRESULTS: After performing bioinformatic analysis, a total of 185 DEMs were identified: 80 upregulated miRNAs and 105 downregulated miRNAs. A five-miRNA (miR-25, miR-204, miR-211, miR-510, miR-513c) signature was discovered to be a potential significant prognostic biomarker of cutaneous melanoma when using the Kaplan-Meier survival method (P = 0.001). Univariate and multivariate Cox regression analyses showed that the five-miRNA signature could be an independent prognostic marker (HR = 0.605, P = 0.006) in cutaneous melanoma patients. Biological pathway analysis indicated that the target genes may be involved in PI3K-Akt pathways, ubiquitin-mediated proteolysis, and focal adhesion.\nCONCLUSION: The identified five-miRNA signature may serve as a prognostic biomarker, or as a potential therapeutic target, in cutaneous melanoma patients.", "claims": [{"id": "claim-data-access", "statement": "The following information was supplied regarding data availability:\nThe raw measurements are available in the Supplemental Files.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31660262", "locator": "sections[25] \"Data Availability Statement\" paragraphs 1-3", "quote": "The following information was supplied regarding data availability:\nThe raw measurements are available in the Supplemental Files."}], "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:31660262"], "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:GSE35579"], "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:GSE35579"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31660262", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7717/peerj.7831", "sha256": "sha256:1a66d8a7a0548e5bfade215d60bff3a56c82a3e34c928899d54a84228f1e19a0", "bytes": 50829, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.7717/peerj.7831", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6814066", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE35579", "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=GSE35579", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE35579", "version": null, "note": "The following information was supplied regarding data availability:\nThe raw measurements are available in the Supplemental Files.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The following information was supplied regarding data availability:\nThe raw measurements are available in the Supplemental Files.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM871171", "GSM871172", "GSM871173", "GSM871174", "GSM871175", "GSM871176", "GSM871177", "GSM871178", "GSM871179", "GSM871180", "GSM871181", "GSM871182", "GSM871183", "GSM871184", "GSM871185", "GSM871186", "GSM871187", "GSM871188", "GSM871189", "GSM871190", "GSM871191", "GSM871192", "GSM871193", "GSM871194", "GSM871195", "GSM871196", "GSM871197", "GSM871198", "GSM871199", "GSM871200", "GSM871201", "GSM871202", "GSM871203", "GSM871204", "GSM871205", "GSM871206", "GSM871207", "GSM871208", "GSM871209", "GSM871210", "GSM871211", "GSM871212", "GSM871213", "GSM871214", "GSM871215", "GSM871216", "GSM871217", "GSM871218", "GSM871219", "GSM871220", "GSM871221", "GSM871222", "GSM871223", "GSM871224", "GSM871225", "GSM871226", "GSM871227", "GSM871228", "GSM871229", "GSM871230", "GSM871231", "GSM871232", "GSM871233", "GSM871234", "GSM871235", "GSM871236", "GSM871237", "GSM871238", "GSM871239", "GSM871240", "GSM871241"], "sample_count": 71, "group_sizes": null, "group_sizes_basis": null, "platform": "15183", "taxon": "Homo sapiens", "title": "050209-miRNA Melanoma miRNA microarray", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:31660262:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a3aa6bd59e97de5cd243c6cf045d5150c18363d98237e602c4c13b464645fe74", "bytes": 761, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#table-1", "version": null, "note": "Clinical feature of melanoma patients from TCGA.", "structure": {"pmcid": "PMC6814066", "section_index": 9, "section_title": "DEM identification and construction of a five-miRNA signature", "row_count": 34, "column_count": 2}, "table": {"label": "Table 1", "caption": "Clinical feature of melanoma patients from TCGA.", "rows": [["Variables", "Case, n (%)"], ["Age at diagnosis (yr)", ""], ["<60", "241"], ["≥60", "221"], ["NA", "8"], ["Gender", ""], ["Male", "290"], ["Female", "180"], ["T stage", ""], ["T0", "23"], ["T1 (a + b)", "42"], ["T2 (a + b)", "78"], ["T3 (a + b)", "90"], ["T4 (a + b)", "143"], ["Tis", "8"], ["TX", "47"], ["NA", "29"], ["Pathologic stage", ""], ["Stage 0", "7"], ["Stage I", "77"], ["Stage II", "140"], ["I/II NOS", "14"], ["Stage III", "171"], ["Stage IV", "23"], ["NA", "38"], ["Node status", ""], ["N0", "235"], ["N1–3", "178"], ["Nx", "36"], ["NA", "21"], ["Metastasis", ""], ["M0", "418"], ["M1", "24"], ["NA", "28"]], "row_count": 34, "column_count": 2, "numeric_cells": 31, "header_rows": 1, "locator": "section[9]/table-wrap[1]#table-1"}}, {"id": "asset:table:pmid:31660262:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:9479b8858827deea46ee621b54b64c4bd1a7b3838d894779be6b7912b4f6cc4e", "bytes": 440, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[2]#table-2", "version": null, "note": "The prognostic related differentially expressed miRNAs identifed between melanoma and nevi.", "structure": {"pmcid": "PMC6814066", "section_index": 9, "section_title": "DEM identification and construction of a five-miRNA signature", "row_count": 5, "column_count": 4}, "table": {"label": "Table 2", "caption": "The prognostic related differentially expressed miRNAs identifed between melanoma and nevi.", "rows": [["Down-regulation DEMs", "P-value", "Up-regulation", "P-value"], ["hsa-miR-211", "0.033", "hsa-miR-25", "0.004"], ["hsa-miR-204", "0.001", "", ""], ["hsa-miR-510", "0.007", "", ""], ["hsa-miR-513c", "0.014", "", ""]], "row_count": 5, "column_count": 4, "numeric_cells": 10, "header_rows": 1, "locator": "section[9]/table-wrap[2]#table-2"}}, {"id": "asset:table:pmid:31660262:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:89b5fe3c855f7e2ef6785e278a69ed8ddfd683714d0e38876ac8b0da01d510a7", "bytes": 2173, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[3]#table-3", "version": null, "note": "Association between the five miRNAs and melanoma cancer clinical characters.", "structure": {"pmcid": "PMC6814066", "section_index": 9, "section_title": "DEM identification and construction of a five-miRNA signature", "row_count": 23, "column_count": 16}, "table": {"label": "Table 3", "caption": "Association between the five miRNAs and 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"0.004*", "84", "53", "<0.000*", "79", "58", "0.003*", "75", "62", "0.037*"], ["T3 + T4", "103", "116", "", "121", "98", "", "89", "130", "", "91", "128", "", "95", "124", ""], ["Lymph node status", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""], ["N0", "106", "108", "0.758", "107", "107", "0.955", "107", "107", "0.955", "109", "105", "0.811", "103", "111", "0.516"], ["N1–2", "82", "89", "", "86", "85", "", "85", "86", "", "85", "86", "", "88", "83", ""], ["Mestasis", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""], ["M0", "192", "193", "0.841", "189", "196", "0.769", "188", "197", "0.243", "193", "192", "0.823", "188", "197", "0.458"], ["M1", "10", "11", "", "11", "10", "", "13", "8", "", "10", "11", "", "12", "9", ""], ["Clinical stage", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""], ["I + II", "107", "95", "0.166", "102", "100", "0.715", "97", "105", "0.512", "97", "105", "0.738", "93", "109", "0.250"], ["III + IV", "84", "99", "", "89", "94", 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"section_index": 9, "section_title": "DEM identification and construction of a five-miRNA signature", "row_count": 10, "column_count": 5}, "table": {"label": "Table 4", "caption": "TCGA univariable and multivariable Cox regression analysis.", "rows": [["Variables", "Univariate analysis", "Multivariate analysis"], ["", "HR (95% CI)", "P value", "HR (95% CI)", "P value"], ["Age at diagnosis (≥60 vs. <60)", "1.563 (1.166–2.096)", "0.003*", "1.199(0.839–1.714)", "0.319"], ["T stage (T3 + T4 vs. T1 + T2)", "0.443(0 .316-0.622)", "<0.000*", "0.825(0.468–1.456)", "0.507"], ["N stage (N1–2 vs. N0)", "0.517(0.380–0.703)", "<0.000*", "0.246(0.087–0.699)", "0.008*"], ["M stage (M1 vs. M0)", "0.554(0.292–1.051)", "0.071", "0.616(0.218–1.741)", "0.361"], ["Clinical stage (III + IV vs. I + II)", "0.543(0.399–0.738)", "<0.000*", "1.986(0.691–5.708)", "0.203"], ["Gender (Male vs. Female)", "0.997(0.734–1.355)", "0.986", "1.040 (0.726–1.491)", "0.830"], ["Breslow depth value (≥3 mm vs. <3 mm)", 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