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pmid:34285549

Signature Panel of 11 Methylated mRNAs and 3 Methylated lncRNAs for Prediction of Recurrence-Free Survival in Prostate Cancer Patients.

Jiarong Cai · Fei Yang · Xuelian Chen · He Huang · Bin Miao

Pharmacogenomics and personalized medicine · 2021 doi:10.2147/PGPM.S312024

Paper

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Experiment

complete

Data

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Analysis

partial

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2026-11-01T15:41:44Z
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title
Signature Panel of 11 Methylated mRNAs and 3 Methylated lncRNAs for Prediction of Recurrence-Free Survival in Prostate Cancer Patients.
doi
10.2147/PGPM.S312024
pmid
34285549
authors array · 5 items
[0]
Jiarong Cai
[1]
Fei Yang
[2]
Xuelian Chen
[3]
He Huang
[4]
Bin Miao
journal
Pharmacogenomics and personalized medicine
year
2021
abstract
BACKGROUND: Radical prostatectomy is the main treatment for prostate cancer (PCa), a common cancer type among men. Recurrence frequently occurs in a proportion of patients. Therefore, there is a great need to early screen those patients to specifically schedule adjuvant therapy to improve the recurrence-free survival (RFS) rate. This study aims to develop a biomarker to predict RFS for patients with PCa based on the data of methylation, an important heritable contributor to carcinogenesis. METHODS: Methylation expression data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus database (GSE26126), and the European Bioinformatics Institute (E-MTAB-6131). The stable co-methylation modules were identified by weighted gene co-expression network analysis. The genes in modules were overlapped with differentially methylated RNAs (DMRs) screened by MetaDE package in three datasets, which were used to screen the prognostic genes using least absolute shrinkage and selection operator analyses. The prognostic performance of the prognostic signature was assessed by survival curve analysis. RESULTS: Five co-methylation modules were considered preserved in three datasets. A total of 192 genes in these 5 modules were overlapped with 985 DMRs, from which a signature panel of 11 methylated messenger RNAs and 3 methylated long non-coding RNAs was identified. This signature panel could independently predict the 5-year RFS of PCa patients, with an area under the receiver operating characteristic curve (AUC) of 0.969 for the training TCGA dataset and 0.811 for the testing E-MTAB-6131 dataset, both of which were higher than the predictive accuracy of Gleason score (AUC = 0.689). Also, the patients with the same Gleason score (6-7 or 8-10) could be further divided into the high-risk group and the low-risk group. CONCLUSION: These results suggest that our prognostic model may be a promising biomarker for clinical prediction of RFS in PCa patients.
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Based on all shared methylated RNAs in TCGA (training), GSE26126 (testing), and E-MTAB-6131 (testing) datasets, co-methylation networks were constructed using the weighted gene co-expression network analysis (WGCNA) software (v1.61; https://cran.r-project.org/web/packages/WGCNA/index.html).
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sections[4] "Identification of Co-Methylation Modules" paragraph 2
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Based on all shared methylated RNAs in TCGA (training), GSE26126 (testing), and E-MTAB-6131 (testing) datasets, co-methylation networks were constructed using the weighted gene co-expression network analysis (WGCNA) software (v1.61; https://cran.r-project.org/web/packages/WGCNA/index.html).
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All data were downloaded from TCGA (https://portal.gdc.cancer.gov/), GEO (GSE26126; http://www. ncbi.nlm.nih.gov/geo/) and EMBL-EBI (E-MTAB-6131; https://www.ebi.ac.uk).
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All data were downloaded from TCGA (https://portal.gdc.cancer.gov/), GEO (GSE26126; http://www. ncbi.nlm.nih.gov/geo/) and EMBL-EBI (E-MTAB-6131; https://www.ebi.ac.uk).
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Identification of Co-Methylation Modules
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Identification of an Epigenetic Signature Panel and Development of a Risk Scoring Model for RFS Prediction in PCa Patients
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[4]
2.260
[5]
1.203–3.129
[6]
8.70E-03
[7]
0.3800
[6] array · 8 items
[0]
RFXAP
[1]
mRNA
[2]
Black
[3]
Upregulated
[4]
1.693
[5]
1.034–4.108
[6]
7.10E-03
[7]
0.3384
[7] array · 8 items
[0]
NTRK3
[1]
mRNA
[2]
Turquoise
[3]
Upregulated
[4]
4.930
[5]
1.260–6.929
[6]
2.20E-02
[7]
0.2656
[8] array · 8 items
[0]
DSCR9
[1]
lncRNA
[2]
Turquoise
[3]
Upregulated
[4]
0.541
[5]
0.169–0.815
[6]
4.41E-02
[7]
−0.0112
[9] array · 8 items
[0]
HCP5
[1]
lncRNA
[2]
Turquoise
[3]
Downregulated
[4]
0.367
[5]
0.095–0.423
[6]
1.05E-02
[7]
−0.1128
[10] array · 8 items
[0]
NAV1
[1]
mRNA
[2]
Turquoise
[3]
Downregulated
[4]
0.117
[5]
0.0184–0.739
[6]
2.30E-02
[7]
−0.1493
[11] array · 8 items
[0]
HOXA13
[1]
mRNA
[2]
Turquoise
[3]
Downregulated
[4]
0.224
[5]
0.0509–0.987
[6]
4.80E-02
[7]
−0.2229
[12] array · 8 items
[0]
HAS2
[1]
mRNA
[2]
Turquoise
[3]
Downregulated
[4]
0.170
[5]
0.0308–0.938
[6]
4.20E-02
[7]
−0.5077
[13] array · 8 items
[0]
CBX2
[1]
mRNA
[2]
Turquoise
[3]
Downregulated
[4]
0.011
[5]
0.000507–0.216
[6]
3.10E-03
[7]
−0.6602
[14] array · 8 items
[0]
HIST1H2AJ
[1]
mRNA
[2]
Turquoise
[3]
Downregulated
[4]
0.002
[5]
0.000844–0.503
[6]
2.70E-02
[7]
−1.0755
[15] array · 8 items
[0]
SNX4
[1]
mRNA
[2]
Yellow
[3]
Downregulated
[4]
0.755
[5]
0.138–0.941
[6]
2.30E-02
[7]
−2.3318
locator
section[11]/table-wrap[1]#t0002
[6] object · 16 fields
id
asset:table:pmid:34285549:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:b52e29de397326020eae21f4c66988bbede2099d3370a372320e011c74bc8d33
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1313
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open
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verified
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read_table
reader_status
available
identifier
section[11]/table-wrap[2]#t0003
version
null
note
Univariate and Multivariate Cox Regression of Clinical Features and Risk Score
structure object · 5 fields
pmcid
PMC8285280
section_index
11
section_title
Identification of an Epigenetic Signature Panel and Development of a Risk Scoring Model for RFS Prediction in PCa Patients
row_count
11
column_count
8
table object · 8 fields
label
Table 3
caption
Univariate and Multivariate Cox Regression of Clinical Features and Risk Score
rows array · 11 items
[0] array · 4 items
[0]
Variables
[1]
TCGA (N=375)
[2]
Univariate Analysis
[3]
Multivariate Analysis
[1] array · 6 items
[0]
HR
[1]
95% CI
[2]
P-value
[3]
HR
[4]
95% CI
[5]
P-value
[2] array · 8 items
[0]
Age (years, mean ± SD)
[1]
60.85 ± 6.84
[2]
1.023
[3]
0.979–1.068
[4]
3.02E-01
[5]
-
[6]
-
[7]
-
[3] array · 8 items
[0]
Pathologic_M (M0/M1/-)
[1]
354/2/19
[2]
6.115
[3]
0.893–16.35
[4]
8.49E-01
[5]
-
[6]
-
[7]
-
[4] array · 8 items
[0]
Pathologic_N (N0/N1/-)
[1]
273/54/48
[2]
1.691
[3]
0.853–3.353
[4]
1.51E-01
[5]
-
[6]
-
[7]
-
[5] array · 8 items
[0]
Pathologic_T (T2/T3/T4/-)
[1]
144/219/6/6
[2]
2.865
[3]
1.586–5.177
[4]
4.22E-04
[5]
0.976
[6]
0.457–2.085
[7]
9.51E-01
[6] array · 8 items
[0]
Radiation therapy (Yes/No/-)
[1]
50/317/8
[2]
2.189
[3]
1.080–4.438
[4]
4.40E-02
[5]
1.006
[6]
0.424–2.388
[7]
9.88E-01
[7] array · 8 items
[0]
Targeted molecular therapy (Yes/No/-)
[1]
324/42/9
[2]
2.522
[3]
1.276–4.986
[4]
5.85E-03
[5]
0.761
[6]
0.325–1.776
[7]
5.26E-01
[8] array · 8 items
[0]
Gleason score (6/7/8/9/10)
[1]
37/181/55/98/4
[2]
2.57
[3]
1.858–3.554
[4]
4.89E-10
[5]
2.196
[6]
1.451–3.322
[7]
1.99E-04
[9] array · 8 items
[0]
Prostate-specific antigen
[1]
1.51 ± 3.17
[2]
1.057
[3]
1.020–1.095
[4]
4.43E-04
[5]
1.016
[6]
0.978–1.055
[7]
4.16E-01
[10] array · 8 items
[0]
Risk score status (High/Low)
[1]
187/188
[2]
18.72
[3]
5.800–60.43
[4]
3.52E-13
[5]
12.67
[6]
3.845–41.82
[7]
3.02E-05
locator
section[11]/table-wrap[2]#t0003
[7] object · 16 fields
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asset:table:pmid:34285549:5
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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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sha256:4168078bc5f3b0b1a4d08da21c29e5af7e76d8ae93b3a61831fe6c8c90dafeda
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verified
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read_table
reader_status
available
identifier
section[13]/table-wrap[1]#t0004
version
null
note
The RNA Expression Levels of Prognostic Genes
structure object · 5 fields
pmcid
PMC8285280
section_index
13
section_title
Validation of the RNA Expression Levels of Prognostic Genes
row_count
16
column_count
8
table object · 8 fields
label
Table 4
caption
The RNA Expression Levels of Prognostic Genes
rows array · 16 items
[0] array · 4 items
[0]
Symbol
[1]
Type
[2]
Recurrence vs Non-Recurrence
[3]
Tumor vs Control
[1] array · 6 items
[0]
Log2FC
[1]
P-value
[2]
FDR
[3]
Log2FC
[4]
P-value
[5]
FDR
[2] array · 8 items
[0]
MEG3
[1]
lncRNA
[2]
0.166016
[3]
0.0313
[4]
0.2537
[5]
−0.35998
[6]
1.04E-03
[7]
0.008423
[3] array · 8 items
[0]
MMP7
[1]
mRNA
[2]
−0.00127
[3]
0.122
[4]
0.990023
[5]
0.007234
[6]
1.15E-01
[7]
0.931766
[4] array · 8 items
[0]
SLCO3A1
[1]
mRNA
[2]
0.07484
[3]
0.0618
[4]
0.500229
[5]
−0.84417
[6]
1.74E-16
[7]
1.41E-15
[5] array · 8 items
[0]
KCNF1
[1]
mRNA
[2]
−0.09793
[3]
0.0817
[4]
0.661785
[5]
−1.66242
[6]
2.98E-06
[7]
2.41E-05
[6] array · 8 items
[0]
RFXAP
[1]
mRNA
[2]
0.032439
[3]
0.0552
[4]
0.447327
[5]
−0.05774
[6]
6.40E-03
[7]
0.051835
[7] array · 8 items
[0]
NTRK3
[1]
mRNA
[2]
−0.36891
[3]
0.00523
[4]
0.042399
[5]
−1.04021
[6]
1.15E-07
[7]
9.35E-07
[8] array · 8 items
[0]
DSCR9
[1]
lncRNA
[2]
0.372407
[3]
0.0162
[4]
0.131543
[5]
0.832172
[6]
3.69E-11
[7]
2.99E-10
[9] array · 8 items
[0]
HCP5
[1]
lncRNA
[2]
0.019159
[3]
0.0984
[4]
0.796839
[5]
−0.07392
[6]
4.06E-02
[7]
0.32906
[10] array · 8 items
[0]
NAV1
[1]
mRNA
[2]
0.247454
[3]
0.0029
[4]
0.02352
[5]
−0.13033
[6]
1.24E-02
[7]
0.100329
[11] array · 8 items
[0]
HOXA13
[1]
mRNA
[2]
0.007909
[3]
0.108
[4]
0.873183
[5]
−0.19936
[6]
3.49E-06
[7]
2.83E-05
[12] array · 8 items
[0]
HAS2
[1]
mRNA
[2]
0.140339
[3]
0.068
[4]
0.551047
[5]
−0.87177
[6]
1.51E-04
[7]
0.001222
[13] array · 8 items
[0]
CBX2
[1]
mRNA
[2]
0.613398
[3]
2.81E-05
[4]
0.000228
[5]
1.083018
[6]
1.36E-16
[7]
1.10E-15
[14] array · 8 items
[0]
HIST1H2AJ
[1]
mRNA
[2]
−0.06935
[3]
0.103
[4]
0.830599
[5]
1.24546
[6]
2.18E-03
[7]
0.017627
[15] array · 8 items
[0]
SNX4
[1]
mRNA
[2]
0.02881
[3]
0.0218
[4]
0.1768
[5]
0.088201
[6]
6.30E-04
[7]
0.005108
locator
section[13]/table-wrap[1]#t0004
gaps array · 4 items
[0]
asset:data:geo:E-MTAB-6131 not downloaded
[1]
asset:data:geo:E-MTAB-6131 licence not read
[2]
asset:data:geo:GSE26126 not downloaded
[3]
asset:data:geo:GSE26126 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Kaplan-Meier
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Cox regression
[2] object · 10 fields
id
method-3
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
0.8
band
high
quote
log-rank
[3] object · 10 fields
id
method-4
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
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[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
[4] object · 10 fields
id
method-5
family
null
specific
null
label
weighted gene co-expression 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
Based on all shared methylated RNAs in TCGA (training), GSE26126 (testing), and E-MTAB-6131 (testing) datasets, co-methylation networks were constructed using the weighted gene co-expression network analysis (WGCNA) software (v1.61; https://cran.r-project.org/web/packages/WGCNA/index.html).
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
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method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 2 items
[0]
GSE26126
[1]
E-MTAB-6131
resolved_accessions array · 2 items
[0]
GSE26126
[1]
E-MTAB-6131
statements array · 1 item
[0]
All data were downloaded from TCGA (https://portal.gdc.cancer.gov/), GEO (GSE26126; http://www. ncbi.nlm.nih.gov/geo/) and EMBL-EBI (E-MTAB-6131; https://www.ebi.ac.uk).
basis
The paper names GSE26126, E-MTAB-6131 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]
survival_km
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[0]
source:pmid:34285549
[1]
data:geo:E-MTAB-6131
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asset:table:pmid:34285549:1
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asset:table:pmid:34285549:2
[4]
asset:table:pmid:34285549:3
[5]
asset:table:pmid:34285549:4
[6]
asset:table:pmid:34285549:5
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[0]
run_analysis
must_build object · 5 fields
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capabilities array · 0 items
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[0]
data:geo:E-MTAB-6131
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review object · 5 fields
state
partial
machine_critique object · 5 fields
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extraction_review
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MiniMax-M3.1-Flash
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minimax
provider_family
minimax
read_at
2026-10-31T18:32:53Z
independence
single_reader
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verbatim
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verbatim
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3
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39373
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1743
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13184
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[0] object · 4 fields
id
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
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review.human_critique
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execution.not_run
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pmid:34285549
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paper
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pmid:34285549
[1] object · 3 fields
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source:pmid:34285549
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PMID 34285549 full text
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data:geo:E-MTAB-6131
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GEO E-MTAB-6131
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pmid:34285549
[1] object · 3 fields
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data:geo:E-MTAB-6131
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GEO E-MTAB-6131
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agent:corpus-assay-engine
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agent:minimax-reader
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activity-resolve-E-MTAB-6131
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agent:corpus-assay-engine
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agent:minimax-reader
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[3]
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[4]
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data_generation
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99e1195c7d6f
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partial
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99e1195c7d6f
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[0]
n risk score in each dataset as the cut-off, patients were assigned to the low-risk group and the high-risk grou
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paper_text_order:4961
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assay:1
[1] object · 11 fields
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f2132e96ae6c7a4e
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survival_km
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supported
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34285549", "kind": "science-record", "revision": 7, "content_hash": "sha256:873546366c4c5c22b99302b97cfb6c2293c963bf64e88f831a7e229b65d36118", "created_at": "2026-11-01T15:41:44Z", "updated_at": "2026-11-01T22:04:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Signature Panel of 11 Methylated mRNAs and 3 Methylated lncRNAs for Prediction of Recurrence-Free Survival in Prostate Cancer Patients.", "doi": "10.2147/PGPM.S312024", "pmid": "34285549", "authors": ["Jiarong Cai", "Fei Yang", "Xuelian Chen", "He Huang", "Bin Miao"], "journal": "Pharmacogenomics and personalized medicine", "year": 2021, "abstract": "BACKGROUND: Radical prostatectomy is the main treatment for prostate cancer (PCa), a common cancer type among men. Recurrence frequently occurs in a proportion of patients. Therefore, there is a great need to early screen those patients to specifically schedule adjuvant therapy to improve the recurrence-free survival (RFS) rate. This study aims to develop a biomarker to predict RFS for patients with PCa based on the data of methylation, an important heritable contributor to carcinogenesis.\nMETHODS: Methylation expression data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus database (GSE26126), and the European Bioinformatics Institute (E-MTAB-6131). The stable co-methylation modules were identified by weighted gene co-expression network analysis. The genes in modules were overlapped with differentially methylated RNAs (DMRs) screened by MetaDE package in three datasets, which were used to screen the prognostic genes using least absolute shrinkage and selection operator analyses. The prognostic performance of the prognostic signature was assessed by survival curve analysis.\nRESULTS: Five co-methylation modules were considered preserved in three datasets. A total of 192 genes in these 5 modules were overlapped with 985 DMRs, from which a signature panel of 11 methylated messenger RNAs and 3 methylated long non-coding RNAs was identified. This signature panel could independently predict the 5-year RFS of PCa patients, with an area under the receiver operating characteristic curve (AUC) of 0.969 for the training TCGA dataset and 0.811 for the testing E-MTAB-6131 dataset, both of which were higher than the predictive accuracy of Gleason score (AUC = 0.689). Also, the patients with the same Gleason score (6-7 or 8-10) could be further divided into the high-risk group and the low-risk group.\nCONCLUSION: These results suggest that our prognostic model may be a promising biomarker for clinical prediction of RFS in PCa patients.", "claims": [{"id": "claim-method", "statement": "Based on all shared methylated RNAs in TCGA (training), GSE26126 (testing), and E-MTAB-6131 (testing) datasets, co-methylation networks were constructed using the weighted gene co-expression network analysis (WGCNA) software (v1.61; https://cran.r-project.org/web/packages/WGCNA/index.html).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34285549", "locator": "sections[4] \"Identification of Co-Methylation Modules\" paragraph 2", "quote": "Based on all shared methylated RNAs in TCGA (training), GSE26126 (testing), and E-MTAB-6131 (testing) datasets, co-methylation networks were constructed using the weighted gene co-expression network analysis (WGCNA) software (v1.61; https://cran.r-project.org/web/packages/WGCNA/index.html)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data were downloaded from TCGA (https://portal.gdc.cancer.gov/), GEO (GSE26126; http://www. ncbi.nlm.nih.gov/geo/) and EMBL-EBI (E-MTAB-6131; https://www.ebi.ac.uk).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34285549", "locator": "sections[17] \"Data Sharing Statement\" paragraph 2", "quote": "All data were downloaded from TCGA (https://portal.gdc.cancer.gov/), GEO (GSE26126; http://www. ncbi.nlm.nih.gov/geo/) and EMBL-EBI (E-MTAB-6131; https://www.ebi.ac.uk)."}], "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:34285549"], "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:E-MTAB-6131"], "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:E-MTAB-6131"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34285549", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/PGPM.S312024", "sha256": 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EMBL-EBI (E-MTAB-6131; https://www.ebi.ac.uk).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data were downloaded from TCGA (https://portal.gdc.cancer.gov/), GEO (GSE26126; http://www. ncbi.nlm.nih.gov/geo/) and EMBL-EBI (E-MTAB-6131; https://www.ebi.ac.uk).", "access_statement_kind": "data_availability_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": null, "resolution_checked_at": "2026-10-31T18:35:19Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE26126", "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=GSE26126", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": 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"PMC8285280", "section_index": 4, "section_title": "Identification of Co-Methylation Modules", "row_count": 11, "column_count": 6}, "table": {"label": "Table 1", "caption": "Co-Methylation Modules Identified by WGCNA", "rows": [["ID", "Color", "Module Size", "Number of mRNAs", "Number of lncRNAs", "Preservation Z-score"], ["Module 1", "Black", "206", "206", "0", "6.6439"], ["Module 2", "Blue", "374", "362", "12", "8.5168"], ["Module 3", "Brown", "302", "295", "7", "7.8463"], ["Module 4", "Green", "234", "234", "0", "0.6804"], ["Module 5", "Grey", "1902", "1868", "34", "2.9263"], ["Module 6", "Magenta", "124", "124", "0", "2.4207"], ["Module 7", "Pink", "203", "203", "0", "4.6150"], ["Module 8", "Red", "233", "224", "9", "4.2880"], ["Module 9", "Turquoise", "1438", "1427", "11", "20.7257"], ["Module 10", "Yellow", "250", "241", "9", "7.4672"]], "row_count": 11, "column_count": 6, "numeric_cells": 50, "header_rows": 1, "locator": "section[9]/table-wrap[1]#t0001"}}, {"id": 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["Module 5", "Grey", "1902", "1868", "34", "2.9263"], ["Module 6", "Magenta", "124", "124", "0", "2.4207"], ["Module 7", "Pink", "203", "203", "0", "4.6150"], ["Module 8", "Red", "233", "224", "9", "4.2880"], ["Module 9", "Turquoise", "1438", "1427", "11", "20.7257"], ["Module 10", "Yellow", "250", "241", "9", "7.4672"]], "row_count": 11, "column_count": 6, "numeric_cells": 50, "header_rows": 1, "locator": "section[9]/table-wrap[1]#t0001"}}, {"id": "asset:table:pmid:34285549:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:377526e39fbc32cfb8607a7ca4f4753e9ddcc1eb8e77a0cca27092bc4035624a", "bytes": 1607, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#t0002", "version": null, "note": "The Optimal Methylation Signature Panel for Prognosis Prediction", "structure": {"pmcid": "PMC8285280", "section_index": 11, "section_title": "Identification of an Epigenetic Signature Panel and Development of a Risk Scoring Model for RFS Prediction in PCa Patients", "row_count": 16, "column_count": 8}, "table": {"label": "Table 2", "caption": "The Optimal Methylation Signature Panel for Prognosis Prediction", "rows": [["Symbol", "Type", "Module", "Methylation Level", "Univariate Cox Regression Analysis", "LASSO Coefficient"], ["HR", "95% CI", "P-value"], ["MEG3", "lncRNA", "Blue", "Downregulated", "1.180", "1.034–4.021", "1.19E-02", "0.2901"], ["MMP7", "mRNA", "Turquoise", "Upregulated", "1.631", "1.045–7.561", "2.80E-03", "0.4701"], ["SLCO3A1", "mRNA", "Turquoise", "Upregulated", "5.852", "1.018–7.363", "4.80E-02", "0.4693"], ["KCNF1", "mRNA", "Turquoise", "Upregulated", "2.260", "1.203–3.129", "8.70E-03", "0.3800"], ["RFXAP", "mRNA", "Black", "Upregulated", "1.693", "1.034–4.108", "7.10E-03", "0.3384"], ["NTRK3", "mRNA", "Turquoise", "Upregulated", "4.930", "1.260–6.929", "2.20E-02", "0.2656"], ["DSCR9", "lncRNA", "Turquoise", "Upregulated", "0.541", "0.169–0.815", "4.41E-02", "−0.0112"], ["HCP5", "lncRNA", "Turquoise", "Downregulated", "0.367", "0.095–0.423", "1.05E-02", "−0.1128"], ["NAV1", "mRNA", "Turquoise", "Downregulated", "0.117", "0.0184–0.739", "2.30E-02", "−0.1493"], ["HOXA13", "mRNA", "Turquoise", "Downregulated", "0.224", "0.0509–0.987", "4.80E-02", "−0.2229"], ["HAS2", "mRNA", "Turquoise", "Downregulated", "0.170", "0.0308–0.938", "4.20E-02", "−0.5077"], ["CBX2", "mRNA", "Turquoise", "Downregulated", "0.011", "0.000507–0.216", "3.10E-03", "−0.6602"], ["HIST1H2AJ", "mRNA", "Turquoise", "Downregulated", "0.002", "0.000844–0.503", "2.70E-02", "−1.0755"], ["SNX4", "mRNA", "Yellow", "Downregulated", "0.755", "0.138–0.941", "2.30E-02", "−2.3318"]], "row_count": 16, "column_count": 8, "numeric_cells": 58, "header_rows": 2, "locator": "section[11]/table-wrap[1]#t0002"}}, {"id": "asset:table:pmid:34285549:4", "role": "table", "format": "jats-table", "media_type": 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["Pathologic_M (M0/M1/-)", "354/2/19", "6.115", "0.893–16.35", "8.49E-01", "-", "-", "-"], ["Pathologic_N (N0/N1/-)", "273/54/48", "1.691", "0.853–3.353", "1.51E-01", "-", "-", "-"], ["Pathologic_T (T2/T3/T4/-)", "144/219/6/6", "2.865", "1.586–5.177", "4.22E-04", "0.976", "0.457–2.085", "9.51E-01"], ["Radiation therapy (Yes/No/-)", "50/317/8", "2.189", "1.080–4.438", "4.40E-02", "1.006", "0.424–2.388", "9.88E-01"], ["Targeted molecular therapy (Yes/No/-)", "324/42/9", "2.522", "1.276–4.986", "5.85E-03", "0.761", "0.325–1.776", "5.26E-01"], ["Gleason score (6/7/8/9/10)", "37/181/55/98/4", "2.57", "1.858–3.554", "4.89E-10", "2.196", "1.451–3.322", "1.99E-04"], ["Prostate-specific antigen", "1.51 ± 3.17", "1.057", "1.020–1.095", "4.43E-04", "1.016", "0.978–1.055", "4.16E-01"], ["Risk score status (High/Low)", "187/188", "18.72", "5.800–60.43", "3.52E-13", "12.67", "3.845–41.82", "3.02E-05"]], "row_count": 11, "column_count": 8, "numeric_cells": 58, "header_rows": 2, "locator": "section[11]/table-wrap[2]#t0003"}}, {"id": "asset:table:pmid:34285549:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:4168078bc5f3b0b1a4d08da21c29e5af7e76d8ae93b3a61831fe6c8c90dafeda", "bytes": 1473, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#t0004", "version": null, "note": "The RNA Expression Levels of Prognostic Genes", "structure": {"pmcid": "PMC8285280", "section_index": 13, "section_title": "Validation of the RNA Expression Levels of Prognostic Genes", "row_count": 16, "column_count": 8}, "table": {"label": "Table 4", "caption": "The RNA Expression Levels of Prognostic Genes", "rows": [["Symbol", "Type", "Recurrence vs Non-Recurrence", "Tumor vs Control"], ["Log2FC", "P-value", "FDR", "Log2FC", "P-value", "FDR"], ["MEG3", "lncRNA", "0.166016", "0.0313", "0.2537", "−0.35998", "1.04E-03", "0.008423"], ["MMP7", 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