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pmid:30226545

Prediction of candidate RNA signatures for recurrent ovarian cancer prognosis by the construction of an integrated competing endogenous RNA network.

Xin Wang · Lei Han · Ling Zhou · Li Wang · Lan-Mei Zhang

Oncology reports · 2018 doi:10.3892/or.2018.6707

Paper

complete

Experiment

complete

Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:30226545
kind
science-record
content_hash
sha256:6a4923644ef7e5decb1a93a515a1ff0a8b04ba4a853bdd45c7a7e352f26940d3
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:37Z
updated_at
2026-11-01T22:43:32Z
generator object · 2 fields
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corpus-assay-engine
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paper object · 10 fields
state
complete
title
Prediction of candidate RNA signatures for recurrent ovarian cancer prognosis by the construction of an integrated competing endogenous RNA network.
doi
10.3892/or.2018.6707
pmid
30226545
authors array · 5 items
[0]
Xin Wang
[1]
Lei Han
[2]
Ling Zhou
[3]
Li Wang
[4]
Lan-Mei Zhang
journal
Oncology reports
year
2018
abstract
Tumor recurrence hinders treatment of ovarian cancer. The present study aimed to identify potential biomarkers for ovarian cancer recurrence prognosis and explore relevant mechanisms. RNA‑sequencing of data from the TCGA database and GSE17260 dataset was carried out. Samples of the data were grouped according to tumor recurrence information. Following data normalization, differentially expressed genes/micro RNAs (miRNAs)/long non‑coding (lncRNAs) (DEGs/DEMs/DELs) were selected between recurrent and non‑recurrent samples. Their correlations with clinical information were analyzed to identify prognostic RNAs. A support vector machine classifier was used to find the optimal gene set with feature genes that could conclusively distinguish different samples. A protein‑protein interaction (PPI) network was established for DEGs using relevant protein databases. An integrated 'lncRNA/miRNA/mRNA' competing endogenous RNA (ceRNA) network was constructed to reveal potential regulatory relationships among different RNAs. We identified 36 feature genes (e.g. TP53 and RBPMS) for the classification of recurrent and non‑recurrent ovarian cancer samples. Prediction with this gene set had a high accuracy (91.8%). Three DELs (WT1‑AS, NBR2 and ZNF883) were highly associated with the prognosis of recurrent ovarian cancer. Predominant DEMs with their targets were hsa‑miR‑375 (target: RBPMS), hsa‑miR‑141 (target: RBPMS), and hsa‑miR‑27b (target: TP53). Highlighted interactions in the ceRNA network were 'WT1‑AS‑hsa‑miR‑375‑RBPMS' and 'WT1‑AS‑-hsa‑miR‑27b‑TP53'. TP53, RBPMS, hsa‑miR‑375, hsa‑miR‑141, hsa‑miR‑27b, and WT1‑AS may be biomarkers for recurrent ovarian cancer. The interactions of 'WT1‑AS‑hsa‑-miR‑375‑RBPMS' and 'WT1‑AS‑hsa‑miR‑27b‑TP53' may be potential regulatory mechanisms during cancer recurrence.
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Fisher's exact test was used, as indicated in the following formula:
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sections[18] "Functional and pathway enrichment analysis of genes in the ceRNA network" paragraph 2
quote
Fisher's exact test was used, as indicated in the following formula:
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The datasets analyzed during the current study are available from the corresponding author upon reasonable request.
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sections[36] "Availability of data and materials" paragraph 2
quote
The datasets analyzed during the current study are available from the corresponding author upon reasonable request.
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source:pmid:30226545
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Obtain the source data from the named repository
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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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https://doi.org/10.3892/or.2018.6707
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Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC6151886
source
europe_pmc_fulltext
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whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
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data:geo:GSE17260
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17260
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GSE17260
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The datasets analyzed during the current study are available from the corresponding author upon reasonable request.
structure object · 15 fields
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GEO accession URL
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The datasets analyzed during the current study are available from the corresponding author upon reasonable request.
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sample_accessions array · 110 items
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GSM432220
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GSM432222
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GSM432223
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GSM432224
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GSM432226
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GSM432227
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GSM432228
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GSM432229
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GSM432230
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GSM432231
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GSM432232
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GSM432233
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GSM432234
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GSM432235
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GSM432236
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GSM432237
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GSM432238
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GSM432239
[20]
GSM432240
[21]
GSM432242
[22]
GSM432243
[23]
GSM432244
[24]
GSM432245
[25]
GSM432246
[26]
GSM432247
[27]
GSM432248
[28]
GSM432249
[29]
GSM432250
[30]
GSM432251
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GSM432252
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GSM432253
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GSM432254
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GSM432255
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GSM432298
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GSM432314
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[95]
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GSM432317
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GSM432319
[99]
GSM432320
[100]
GSM432321
[101]
GSM432322
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GSM432323
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GSM432324
[104]
GSM432325
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GSM432326
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GSM432327
[107]
GSM432328
[108]
GSM432329
[109]
GSM432330
sample_count
110
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
Prediction of progression-free survival in patients with advanced-stage serous ovarian cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 16 fields
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asset:table:pmid:30226545:1
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jats-table
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application/vnd.jats.table+json
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null
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mRNAs, miRNAs and lncRNAs significantly related to prognosis.
structure object · 5 fields
pmcid
PMC6151886
section_index
23
section_title
Prognosis-related mRNAs, miRNAs, and lncRNAs
row_count
68
column_count
8
table object · 8 fields
label
Table I.
caption
mRNAs, miRNAs and lncRNAs significantly related to prognosis.
rows array · 68 items
[0] array · 8 items
[0]
RNA
[1]
Type
[2]
Coef
[3]
Exp (coef)
[4]
Se (coef)
[5]
Z score
[6]
P-value
[7]
Regulation
[1] array · 8 items
[0]
NBR2
[1]
lncRNA
[2]
−0.193
[3]
0.825
[4]
0.102
[5]
−1.880
[6]
0.003
[7]
Upregulated
[2] array · 8 items
[0]
WT1-AS
[1]
lncRNA
[2]
−0.070
[3]
0.932
[4]
0.064
[5]
−1.100
[6]
0.014
[7]
Upregulated
[3] array · 8 items
[0]
ZNF883
[1]
lncRNA
[2]
0.191
[3]
1.210
[4]
0.080
[5]
2.400
[6]
0.016
[7]
Upregulated
[4] array · 8 items
[0]
hsa-miR-1974
[1]
miRNA
[2]
−0.076
[3]
0.927
[4]
0.042
[5]
−1.810
[6]
0.004
[7]
Downregulated
[5] array · 8 items
[0]
hsa-miR-155
[1]
miRNA
[2]
−0.087
[3]
0.917
[4]
0.052
[5]
−1.680
[6]
0.005
[7]
Upregulated
[6] array · 8 items
[0]
hsa-miR-1266
[1]
miRNA
[2]
0.098
[3]
1.100
[4]
0.063
[5]
1.540
[6]
0.006
[7]
Downregulated
[7] array · 8 items
[0]
hsa-miR-1306
[1]
miRNA
[2]
−0.091
[3]
0.913
[4]
0.066
[5]
−1.370
[6]
0.009
[7]
Upregulated
[8] array · 8 items
[0]
hsa-miR-935
[1]
miRNA
[2]
0.041
[3]
1.040
[4]
0.043
[5]
0.965
[6]
0.017
[7]
Upregulated
[9] array · 8 items
[0]
hsa-miR-375
[1]
miRNA
[2]
−0.018
[3]
0.982
[4]
0.031
[5]
−0.582
[6]
0.028
[7]
Downregulated
[10] array · 8 items
[0]
VEPH1
[1]
mRNA
[2]
0.341
[3]
1.410
[4]
0.108
[5]
3.160
[6]
0.002
[7]
Downregulated
[11] array · 8 items
[0]
TSHZ3
[1]
mRNA
[2]
−0.162
[3]
0.850
[4]
0.091
[5]
−1.790
[6]
0.004
[7]
Upregulated
[12] array · 8 items
[0]
SORBS2
[1]
mRNA
[2]
0.159
[3]
1.170
[4]
0.094
[5]
1.680
[6]
0.005
[7]
Upregulated
[13] array · 8 items
[0]
NOTUM
[1]
mRNA
[2]
−0.080
[3]
0.923
[4]
0.051
[5]
−1.590
[6]
0.006
[7]
Downregulated
[14] array · 8 items
[0]
CASC1
[1]
mRNA
[2]
0.116
[3]
1.120
[4]
0.075
[5]
1.560
[6]
0.006
[7]
Upregulated
[15] array · 8 items
[0]
CCDC65
[1]
mRNA
[2]
0.114
[3]
1.120
[4]
0.074
[5]
1.540
[6]
0.006
[7]
Upregulated
[16] array · 8 items
[0]
ALDH1A2
[1]
mRNA
[2]
−0.063
[3]
0.939
[4]
0.043
[5]
−1.480
[6]
0.007
[7]
Downregulated
[17] array · 8 items
[0]
REM1
[1]
mRNA
[2]
−0.109
[3]
0.897
[4]
0.075
[5]
−1.450
[6]
0.008
[7]
Downregulated
[18] array · 8 items
[0]
PHOSPHO1
[1]
mRNA
[2]
0.073
[3]
1.080
[4]
0.055
[5]
1.320
[6]
0.010
[7]
Downregulated
[19] array · 8 items
[0]
TBX3
[1]
mRNA
[2]
−0.097
[3]
0.908
[4]
0.073
[5]
−1.320
[6]
0.010
[7]
Upregulated
[20] array · 8 items
[0]
OXGR1
[1]
mRNA
[2]
0.080
[3]
1.080
[4]
0.062
[5]
1.300
[6]
0.010
[7]
Upregulated
[21] array · 8 items
[0]
C1orf194
[1]
mRNA
[2]
0.050
[3]
1.050
[4]
0.040
[5]
1.230
[6]
0.011
[7]
Upregulated
[22] array · 8 items
[0]
INHA
[1]
mRNA
[2]
0.098
[3]
1.100
[4]
0.082
[5]
1.190
[6]
0.012
[7]
Upregulated
[23] array · 8 items
[0]
CLIC6
[1]
mRNA
[2]
−0.079
[3]
0.924
[4]
0.067
[5]
−1.170
[6]
0.012
[7]
Upregulated
[24] array · 8 items
[0]
BNC2
[1]
mRNA
[2]
0.124
[3]
1.130
[4]
0.107
[5]
1.160
[6]
0.013
[7]
Downregulated
[25] array · 8 items
[0]
CST6
[1]
mRNA
[2]
−0.080
[3]
0.923
[4]
0.070
[5]
−1.150
[6]
0.013
[7]
Upregulated
[26] array · 8 items
[0]
PLCE1
[1]
mRNA
[2]
0.102
[3]
1.110
[4]
0.097
[5]
1.060
[6]
0.015
[7]
Upregulated
[27] array · 8 items
[0]
MAT1A
[1]
mRNA
[2]
−0.080
[3]
0.923
[4]
0.078
[5]
−1.020
[6]
0.016
[7]
Downregulated
[28] array · 8 items
[0]
PHF7
[1]
mRNA
[2]
0.149
[3]
1.160
[4]
0.158
[5]
0.941
[6]
0.018
[7]
Upregulated
[29] array · 8 items
[0]
HOXA3
[1]
mRNA
[2]
−0.054
[3]
0.948
[4]
0.059
[5]
−0.911
[6]
0.018
[7]
Downregulated
[30] array · 8 items
[0]
WDR78
[1]
mRNA
[2]
0.108
[3]
1.110
[4]
0.128
[5]
0.842
[6]
0.020
[7]
Upregulated
[31] array · 8 items
[0]
ZNF521
[1]
mRNA
[2]
−0.052
[3]
0.949
[4]
0.062
[5]
−0.847
[6]
0.020
[7]
Upregulated
[32] array · 8 items
[0]
FAM155B
[1]
mRNA
[2]
0.184
[3]
1.200
[4]
0.080
[5]
2.300
[6]
0.021
[7]
Upregulated
[33] array · 8 items
[0]
SIGLEC14
[1]
mRNA
[2]
0.077
[3]
1.080
[4]
0.096
[5]
0.810
[6]
0.021
[7]
Downregulated
[34] array · 8 items
[0]
TMEM190
[1]
mRNA
[2]
0.040
[3]
1.040
[4]
0.051
[5]
0.789
[6]
0.022
[7]
Upregulated
[35] array · 8 items
[0]
LMO3
[1]
mRNA
[2]
0.036
[3]
1.040
[4]
0.047
[5]
0.752
[6]
0.023
[7]
Downregulated
[36] array · 8 items
[0]
FIGN
[1]
mRNA
[2]
−0.066
[3]
0.936
[4]
0.088
[5]
−0.746
[6]
0.023
[7]
Downregulated
[37] array · 8 items
[0]
FAM83E
[1]
mRNA
[2]
0.047
[3]
1.050
[4]
0.063
[5]
0.741
[6]
0.023
[7]
Upregulated
[38] array · 8 items
[0]
CLCN5
[1]
mRNA
[2]
0.090
[3]
1.090
[4]
0.124
[5]
0.727
[6]
0.024
[7]
Downregulated
[39] array · 8 items
[0]
THBS4
[1]
mRNA
[2]
−0.048
[3]
0.953
[4]
0.067
[5]
−0.721
[6]
0.024
[7]
Downregulated
[40] array · 8 items
[0]
HOXA5
[1]
mRNA
[2]
−0.037
[3]
0.964
[4]
0.052
[5]
−0.707
[6]
0.024
[7]
Downregulated
[41] array · 8 items
[0]
HIST2H2BF
[1]
mRNA
[2]
0.066
[3]
1.070
[4]
0.099
[5]
0.668
[6]
0.025
[7]
Upregulated
[42] array · 8 items
[0]
PRR22
[1]
mRNA
[2]
0.060
[3]
1.060
[4]
0.097
[5]
0.619
[6]
0.027
[7]
Downregulated
[43] array · 8 items
[0]
KCNH3
[1]
mRNA
[2]
0.036
[3]
1.040
[4]
0.062
[5]
0.575
[6]
0.029
[7]
Downregulated
[44] array · 8 items
[0]
C16orf74
[1]
mRNA
[2]
−0.043
[3]
0.958
[4]
0.088
[5]
−0.492
[6]
0.031
[7]
Upregulated
[45] array · 8 items
[0]
TGFA
[1]
mRNA
[2]
−0.034
[3]
0.967
[4]
0.072
[5]
−0.475
[6]
0.032
[7]
Upregulated
[46] array · 8 items
[0]
BHLHA15
[1]
mRNA
[2]
0.043
[3]
1.040
[4]
0.090
[5]
0.475
[6]
0.032
[7]
Downregulated
[47] array · 8 items
[0]
FOXA2
[1]
mRNA
[2]
−0.026
[3]
0.974
[4]
0.057
[5]
−0.461
[6]
0.032
[7]
Upregulated
[48] array · 8 items
[0]
NRL
[1]
mRNA
[2]
0.093
[3]
1.100
[4]
0.204
[5]
0.456
[6]
0.033
[7]
Downregulated
[49] array · 8 items
[0]
GEM
[1]
mRNA
[2]
−0.184
[3]
0.832
[4]
0.087
[5]
−2.120
[6]
0.034
[7]
Upregulated
[50] array · 8 items
[0]
FA2H
[1]
mRNA
[2]
−0.040
[3]
0.961
[4]
0.104
[5]
−0.386
[6]
0.035
[7]
Upregulated
[51] array · 8 items
[0]
ACAP1
[1]
mRNA
[2]
0.044
[3]
1.040
[4]
0.118
[5]
0.371
[6]
0.036
[7]
Downregulated
[52] array · 8 items
[0]
SHC2
[1]
mRNA
[2]
−0.026
[3]
0.975
[4]
0.072
[5]
−0.354
[6]
0.036
[7]
Upregulated
[53] array · 8 items
[0]
KRT16
[1]
mRNA
[2]
0.018
[3]
1.020
[4]
0.051
[5]
0.355
[6]
0.036
[7]
Upregulated
[54] array · 8 items
[0]
TTC36
[1]
mRNA
[2]
−0.039
[3]
0.962
[4]
0.113
[5]
−0.345
[6]
0.037
[7]
Downregulated
[55] array · 8 items
[0]
RBM11
[1]
mRNA
[2]
0.040
[3]
1.040
[4]
0.116
[5]
0.342
[6]
0.037
[7]
Downregulated
[56] array · 8 items
[0]
ZNF569
[1]
mRNA
[2]
−0.301
[3]
0.740
[4]
0.144
[5]
−2.090
[6]
0.037
[7]
Downregulated
[57] array · 8 items
[0]
LMTK3
[1]
mRNA
[2]
0.168
[3]
1.180
[4]
0.081
[5]
2.080
[6]
0.037
[7]
Upregulated
[58] array · 8 items
[0]
ADAMDEC1
[1]
mRNA
[2]
0.018
[3]
1.020
[4]
0.060
[5]
0.306
[6]
0.038
[7]
Downregulated
[59] array · 8 items
[0]
MACROD2
[1]
mRNA
[2]
0.022
[3]
1.020
[4]
0.076
[5]
0.292
[6]
0.039
[7]
Downregulated
[60] array · 8 items
[0]
ZNF597
[1]
mRNA
[2]
0.031
[3]
1.030
[4]
0.102
[5]
0.298
[6]
0.039
[7]
Upregulated
[61] array · 8 items
[0]
CD8A
[1]
mRNA
[2]
0.018
[3]
1.020
[4]
0.071
[5]
0.249
[6]
0.040
[7]
Downregulated
[62] array · 8 items
[0]
AGAP2
[1]
mRNA
[2]
−0.033
[3]
0.968
[4]
0.137
[5]
−0.238
[6]
0.041
[7]
Downregulated
[63] array · 8 items
[0]
PRG4
[1]
mRNA
[2]
0.009
[3]
1.010
[4]
0.090
[5]
0.102
[6]
0.046
[7]
Downregulated
[64] array · 8 items
[0]
GAL3ST3
[1]
mRNA
[2]
−0.005
[3]
0.995
[4]
0.045
[5]
−0.101
[6]
0.046
[7]
Downregulated
[65] array · 8 items
[0]
CSPG5
[1]
mRNA
[2]
−0.008
[3]
0.992
[4]
0.087
[5]
−0.095
[6]
0.046
[7]
Downregulated
[66] array · 8 items
[0]
SLAMF7
[1]
mRNA
[2]
−0.004
[3]
0.996
[4]
0.057
[5]
−0.078
[6]
0.047
[7]
Downregulated
[67] array · 8 items
[0]
SP5
[1]
mRNA
[2]
−0.002
[3]
0.998
[4]
0.052
[5]
−0.043
[6]
0.049
[7]
Downregulated
locator
section[23]/table-wrap[1]#tI-or-40-05-2659
[3] object · 16 fields
id
asset:table:pmid:30226545:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:dbe2edfa474f717e2f977fa7ae46aa591f7e8987ad9385f11090350ab4c88a0f
bytes
2164
access
open
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verified
reader
read_table
reader_status
available
identifier
section[26]/table-wrap[1]#tII-or-40-05-2659
version
null
note
Gene list of 36 feature genes in the optimal gene set identified by support vector machine classifier.
structure object · 5 fields
pmcid
PMC6151886
section_index
26
section_title
Verification of the SVM classifiers
row_count
19
column_count
12
table object · 8 fields
label
Table II.
caption
Gene list of 36 feature genes in the optimal gene set identified by support vector machine classifier.
rows array · 19 items
[0] array · 12 items
[0]
Gene
[1]
BC
[2]
Degree
[3]
logFC
[4]
P-value
[5]
FDR
[6]
Gene
[7]
BC
[8]
Degree
[9]
logFC
[10]
P-value
[11]
FDR
[1] array · 12 items
[0]
TP53
[1]
0.8549
[2]
36
[3]
1.1154
[4]
0.0034
[5]
0.0261
[6]
GABRE
[7]
0.2513
[8]
3
[9]
1.5580
[10]
0.0039
[11]
0.0303
[2] array · 12 items
[0]
LIPH
[1]
0.8000
[2]
3
[3]
2.1783
[4]
0.0035
[5]
0.0265
[6]
KLRF1
[7]
0.2485
[8]
3
[9]
−2.9154
[10]
0.0022
[11]
0.0166
[3] array · 12 items
[0]
TNNT1
[1]
0.7000
[2]
2
[3]
0.8604
[4]
0.0049
[5]
0.0380
[6]
SAT1
[7]
0.2477
[8]
3
[9]
0.5964
[10]
0.0062
[11]
0.0475
[4] array · 12 items
[0]
MYC
[1]
0.4611
[2]
17
[3]
0.6524
[4]
0.0064
[5]
0.0492
[6]
SMARCD3
[7]
0.2354
[8]
2
[9]
0.9899
[10]
0.0042
[11]
0.0326
[5] array · 12 items
[0]
VCAM1
[1]
0.3527
[2]
6
[3]
−1.0917
[4]
0.0054
[5]
0.0414
[6]
PLS1
[7]
0.2336
[8]
2
[9]
1.1975
[10]
0.0047
[11]
0.0364
[6] array · 12 items
[0]
CDKN1A
[1]
0.3446
[2]
12
[3]
1.0392
[4]
0.0044
[5]
0.0338
[6]
EGR1
[7]
0.2312
[8]
4
[9]
1.8583
[10]
0.0005
[11]
0.0040
[7] array · 12 items
[0]
RPS7
[1]
0.3278
[2]
3
[3]
0.6217
[4]
0.0064
[5]
0.0489
[6]
SPC24
[7]
0.2207
[8]
2
[9]
−0.8575
[10]
0.0061
[11]
0.0472
[8] array · 12 items
[0]
HBA1
[1]
0.3031
[2]
3
[3]
1.3074
[4]
0.0040
[5]
0.0305
[6]
HP
[7]
0.2148
[8]
3
[9]
−1.0778
[10]
0.0048
[11]
0.0368
[9] array · 12 items
[0]
TIE1
[1]
0.3000
[2]
3
[3]
−2.2494
[4]
0.0020
[5]
0.0150
[6]
UCHL1
[7]
0.2140
[8]
3
[9]
−1.6059
[10]
0.0013
[11]
0.0097
[10] array · 12 items
[0]
JUN
[1]
0.2881
[2]
10
[3]
0.6921
[4]
0.0057
[5]
0.0439
[6]
SOCS1
[7]
0.2133
[8]
3
[9]
−0.9843
[10]
0.0057
[11]
0.0437
[11] array · 12 items
[0]
RBPMS
[1]
0.2856
[2]
12
[3]
1.0742
[4]
0.0049
[5]
0.0377
[6]
DGCR6
[7]
0.2104
[8]
2
[9]
−1.4870
[10]
0.0046
[11]
0.0356
[12] array · 12 items
[0]
APOA1
[1]
0.2813
[2]
4
[3]
−2.0866
[4]
0.0003
[5]
0.0025
[6]
FZD6
[7]
0.2104
[8]
2
[9]
0.8516
[10]
0.0056
[11]
0.0435
[13] array · 12 items
[0]
HERC5
[1]
0.2803
[2]
4
[3]
−1.2422
[4]
0.0046
[5]
0.0353
[6]
RAD18
[7]
0.2086
[8]
2
[9]
1.1321
[10]
0.0054
[11]
0.0413
[14] array · 12 items
[0]
BAG2
[1]
0.2712
[2]
3
[3]
−1.5688
[4]
0.0030
[5]
0.0231
[6]
HBB
[7]
0.2080
[8]
2
[9]
1.1753
[10]
0.0037
[11]
0.0286
[15] array · 12 items
[0]
BHLHE40
[1]
0.2651
[2]
3
[3]
0.8275
[4]
0.0051
[5]
0.0389
[6]
SATB1
[7]
0.2075
[8]
3
[9]
2.4843
[10]
0.0014
[11]
0.0111
[16] array · 12 items
[0]
CEP55
[1]
0.2538
[2]
2
[3]
−0.8150
[4]
0.0064
[5]
0.0493
[6]
FOXC1
[7]
0.2075
[8]
2
[9]
1.3750
[10]
0.0041
[11]
0.0314
[17] array · 12 items
[0]
PSEN2
[1]
0.2534
[2]
5
[3]
−1.1137
[4]
0.0049
[5]
0.0377
[6]
PITX1
[7]
0.2055
[8]
2
[9]
−1.3033
[10]
0.0045
[11]
0.0343
[18] array · 12 items
[0]
ANGPTL4
[1]
0.2518
[2]
3
[3]
−1.3853
[4]
0.0039
[5]
0.0298
[6]
ANXA1
[7]
0.2047
[8]
2
[9]
1.0398
[10]
0.0030
[11]
0.0233
locator
section[26]/table-wrap[1]#tII-or-40-05-2659
[4] object · 16 fields
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asset:table:pmid:30226545:3
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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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sha256:2fb1b0e8717b2d9e3c6eac259e3973c75fc980d54fb44262af1f6a16ed27f3f1
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section[26]/table-wrap[2]#tIII-or-40-05-2659
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Performance evaluation of the SVM classifier in training dataset and validation dataset.
structure object · 5 fields
pmcid
PMC6151886
section_index
26
section_title
Verification of the SVM classifiers
row_count
3
column_count
8
table object · 8 fields
label
Table III.
caption
Performance evaluation of the SVM classifier in training dataset and validation dataset.
rows array · 3 items
[0] array · 8 items
[0]
Datasets
[1]
No. samples
[2]
Correct rate
[3]
Sensitivity
[4]
Specificity
[5]
PPV
[6]
NPV
[7]
AUC
[1] array · 8 items
[0]
TCGA
[1]
391
[2]
0.936
[3]
0.897
[4]
0.942
[5]
0.923
[6]
0.921
[7]
0.990
[2] array · 8 items
[0]
GSE13601
[1]
110
[2]
0.918
[3]
0.912
[4]
0.921
[5]
0.800
[6]
0.959
[7]
0.987
locator
section[26]/table-wrap[2]#tIII-or-40-05-2659
gaps array · 2 items
[0]
asset:data:geo:GSE17260 not downloaded
[1]
asset:data:geo:GSE17260 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
contingency_analysis
specific
fisher_exact
label
Categorical (contingency table) analysis
dsl_operations array · 2 items
[0]
contingency_table
[1]
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
1
band
verbatim
quote
Fisher's exact test was used, as indicated in the following formula:
[1] object · 10 fields
id
method-2
family
differential_expression
specific
edger
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
edgeR
[2] object · 10 fields
id
method-3
family
machine_learning
specific
support_vector_machine
label
Machine learning
dsl_operations array · 3 items
[0]
train_classifier
[1]
cross_validate
[2]
roc_auc
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
labelled_feature_matrix
evidence object · 3 fields
score
0.7
band
medium
quote
support vector machine
[3] object · 10 fields
id
method-4
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
PPI
[4] object · 10 fields
id
method-5
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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 · 2 items
[0]
contingency_table
[1]
chi_square_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: fisher_exact.
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]
GSE17260
resolved_accessions array · 1 item
[0]
GSE17260
statements array · 1 item
[0]
The datasets analyzed during the current study are available from the corresponding author upon reasonable request.
basis
The paper names GSE17260 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
assets array · 5 items
[0]
source:pmid:30226545
[1]
data:geo:GSE17260
[2]
asset:table:pmid:30226545:1
[3]
asset:table:pmid:30226545:2
[4]
asset:table:pmid:30226545:3
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE17260
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
2026-10-31T18:12:30Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
38711
completion_tokens
1661
cached_tokens
13056
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
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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:30226545
type
paper
label
pmid:30226545
[1] object · 3 fields
id
source:pmid:30226545
type
manuscript
label
PMID 30226545 full text
[2] object · 3 fields
id
data:geo:GSE17260
type
dataset
label
GEO GSE17260
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
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[0] object · 3 fields
id
pmid:30226545
type
paper
label
pmid:30226545
[1] object · 3 fields
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source:pmid:30226545
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manuscript
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PMID 30226545 full text
[2] object · 3 fields
id
data:geo:GSE17260
type
dataset
label
GEO GSE17260
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-30226545
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extraction
used array · 1 item
[0]
source:pmid:30226545
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE17260
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE17260
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
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agent:corpus-assay-engine
type
software
label
Corpus assay engine
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id
agent:minimax-reader
type
software
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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:30226545
parent_hash
sha256:565708c47080b500048b7b1188be2cf75fdd899658d399124a6f32610cc20bc5
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE17260 licence not read
[1]
asset:data:geo:GSE17260 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
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support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
Materials and methods Analysis of the RNA-seq data The mRNAs, miRNAs, and lncRNAs in 391 R
[1]
q data The mRNAs, miRNAs, and lncRNAs in 391 RNA-seq profiles downloaded from the TCGA database w
order_basis
paper_text_order:1966
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
contingency_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 2 items
[0]
contingency_table
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chi_square_test
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Fisher's exact test was used, as indicated in the following formula:
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30226545", "kind": "science-record", "revision": 8, "content_hash": "sha256:6a4923644ef7e5decb1a93a515a1ff0a8b04ba4a853bdd45c7a7e352f26940d3", "created_at": "2026-11-01T15:40:37Z", "updated_at": "2026-11-01T22:43:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prediction of candidate RNA signatures for recurrent ovarian cancer prognosis by the construction of an integrated competing endogenous RNA network.", "doi": "10.3892/or.2018.6707", "pmid": "30226545", "authors": ["Xin Wang", "Lei Han", "Ling Zhou", "Li Wang", "Lan-Mei Zhang"], "journal": "Oncology reports", "year": 2018, "abstract": "Tumor recurrence hinders treatment of ovarian cancer. The present study aimed to identify potential biomarkers for ovarian cancer recurrence prognosis and explore relevant mechanisms. RNA‑sequencing of data from the TCGA database and GSE17260 dataset was carried out. Samples of the data were grouped according to tumor recurrence information. Following data normalization, differentially expressed genes/micro RNAs (miRNAs)/long non‑coding (lncRNAs) (DEGs/DEMs/DELs) were selected between recurrent and non‑recurrent samples. Their correlations with clinical information were analyzed to identify prognostic RNAs. A support vector machine classifier was used to find the optimal gene set with feature genes that could conclusively distinguish different samples. A protein‑protein interaction (PPI) network was established for DEGs using relevant protein databases. An integrated 'lncRNA/miRNA/mRNA' competing endogenous RNA (ceRNA) network was constructed to reveal potential regulatory relationships among different RNAs. We identified 36 feature genes (e.g. TP53 and RBPMS) for the classification of recurrent and non‑recurrent ovarian cancer samples. Prediction with this gene set had a high accuracy (91.8%). Three DELs (WT1‑AS, NBR2 and ZNF883) were highly associated with the prognosis of recurrent ovarian cancer. Predominant DEMs with their targets were hsa‑miR‑375 (target: RBPMS), hsa‑miR‑141 (target: RBPMS), and hsa‑miR‑27b (target: TP53). Highlighted interactions in the ceRNA network were 'WT1‑AS‑hsa‑miR‑375‑RBPMS' and 'WT1‑AS‑-hsa‑miR‑27b‑TP53'. TP53, RBPMS, hsa‑miR‑375, hsa‑miR‑141, hsa‑miR‑27b, and WT1‑AS may be biomarkers for recurrent ovarian cancer. The interactions of 'WT1‑AS‑hsa‑-miR‑375‑RBPMS' and 'WT1‑AS‑hsa‑miR‑27b‑TP53' may be potential regulatory mechanisms during cancer recurrence.", "claims": [{"id": "claim-method", "statement": "Fisher's exact test was used, as indicated in the following formula:", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30226545", "locator": "sections[18] \"Functional and pathway enrichment analysis of genes in the ceRNA network\" paragraph 2", "quote": "Fisher's exact test was used, as indicated in the following formula:"}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed during the current study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30226545", "locator": "sections[36] \"Availability of data and materials\" paragraph 2", "quote": "The datasets analyzed during the current study are available from the corresponding author upon reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:30226545"], "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. 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"resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:30226545:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:8d583805d29304148d9d75c4e0ddd88a5e2ab86304fc1bd57f19799068487770", "bytes": 5394, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[23]/table-wrap[1]#tI-or-40-05-2659", "version": null, "note": "mRNAs, miRNAs and lncRNAs significantly related to prognosis.", "structure": {"pmcid": "PMC6151886", "section_index": 23, "section_title": "Prognosis-related mRNAs, miRNAs, and lncRNAs", "row_count": 68, "column_count": 8}, "table": {"label": "Table I.", "caption": "mRNAs, miRNAs and lncRNAs significantly related to prognosis.", "rows": [["RNA", "Type", "Coef", "Exp (coef)", "Se (coef)", "Z score", "P-value", "Regulation"], ["NBR2", "lncRNA", "−0.193", 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["NOTUM", "mRNA", "−0.080", "0.923", "0.051", "−1.590", "0.006", "Downregulated"], ["CASC1", "mRNA", "0.116", "1.120", "0.075", "1.560", "0.006", "Upregulated"], ["CCDC65", "mRNA", "0.114", "1.120", "0.074", "1.540", "0.006", "Upregulated"], ["ALDH1A2", "mRNA", "−0.063", "0.939", "0.043", "−1.480", "0.007", "Downregulated"], ["REM1", "mRNA", "−0.109", "0.897", "0.075", "−1.450", "0.008", "Downregulated"], ["PHOSPHO1", "mRNA", "0.073", "1.080", "0.055", "1.320", "0.010", "Downregulated"], ["TBX3", "mRNA", "−0.097", "0.908", "0.073", "−1.320", "0.010", "Upregulated"], ["OXGR1", "mRNA", "0.080", "1.080", "0.062", "1.300", "0.010", "Upregulated"], ["C1orf194", "mRNA", "0.050", "1.050", "0.040", "1.230", "0.011", "Upregulated"], ["INHA", "mRNA", "0.098", "1.100", "0.082", "1.190", "0.012", "Upregulated"], ["CLIC6", "mRNA", "−0.079", "0.924", "0.067", "−1.170", "0.012", "Upregulated"], ["BNC2", "mRNA", "0.124", "1.130", "0.107", "1.160", "0.013", "Downregulated"], ["CST6", "mRNA", "−0.080", "0.923", "0.070", "−1.150", "0.013", "Upregulated"], ["PLCE1", "mRNA", "0.102", "1.110", "0.097", "1.060", "0.015", "Upregulated"], ["MAT1A", "mRNA", "−0.080", "0.923", "0.078", "−1.020", "0.016", "Downregulated"], ["PHF7", "mRNA", "0.149", "1.160", "0.158", "0.941", "0.018", "Upregulated"], ["HOXA3", "mRNA", "−0.054", "0.948", "0.059", "−0.911", "0.018", "Downregulated"], ["WDR78", "mRNA", "0.108", "1.110", "0.128", "0.842", "0.020", "Upregulated"], ["ZNF521", "mRNA", "−0.052", "0.949", "0.062", "−0.847", "0.020", "Upregulated"], ["FAM155B", "mRNA", "0.184", "1.200", "0.080", "2.300", "0.021", "Upregulated"], ["SIGLEC14", "mRNA", "0.077", "1.080", "0.096", "0.810", "0.021", "Downregulated"], ["TMEM190", "mRNA", "0.040", "1.040", "0.051", "0.789", "0.022", "Upregulated"], ["LMO3", "mRNA", "0.036", "1.040", "0.047", "0.752", "0.023", "Downregulated"], ["FIGN", "mRNA", "−0.066", "0.936", "0.088", "−0.746", "0.023", "Downregulated"], ["FAM83E", "mRNA", "0.047", "1.050", "0.063", "0.741", 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