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pmid:33630978

Identification of UBE2C as hub gene in driving prostate cancer by integrated bioinformatics analysis.

Yan Wang · Jili Wang · Qiusu Tang · Guoping Ren

PloS one · 2021 doi:10.1371/journal.pone.0247827

Paper

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Experiment

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Data

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title
Identification of UBE2C as hub gene in driving prostate cancer by integrated bioinformatics analysis.
doi
10.1371/journal.pone.0247827
pmid
33630978
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Yan Wang
[1]
Jili Wang
[2]
Qiusu Tang
[3]
Guoping Ren
journal
PloS one
year
2021
abstract
BACKGROUND: The aim of this study was to identify novel genes in promoting primary prostate cancer (PCa) progression and to explore its role in the prognosis of prostate cancer. METHODS: Four microarray datasets containing primary prostate cancer samples and benign prostate samples were downloaded from Gene Expression Omnibus (GEO), then differentially expressed genes (DEGs) were identified by R software (version 3.6.2). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to identify the function of DEGs. Using STRING and Cytoscape (version 3.7.1), we constructed a protein-protein interaction (PPI) network and identified the hub gene of prostate cancer. Clinical data on GSE70770 and TCGA was collected to show the role of hub gene in prostate cancer progression. The correlations between hub gene and clinical parameters were also indicated by cox regression analysis. Gene Set Enrichment Analysis (GSEA) was performed to highlight the function of Ubiquitin-conjugating enzyme complex (UBE2C) in prostate cancer. RESULTS: 243 upregulated genes and 298 downregulated genes that changed in at least two microarrays have been identified. GO and KEGG analysis indicated significant changes in the oxidation-reduction process, angiogenesis, TGF-beta signaling pathway. UBE2C, PDZ-binding kinase (PBK), cyclin B1 (CCNB1), Cyclin-dependent kinase inhibitor 3 (CDKN3), topoisomerase II alpha (TOP2A), Aurora kinase A (AURKA) and MKI67 were identified as the candidate hub genes, which were all correlated with prostate cancer patient' disease-free survival in TCGA. In fact, only UBE2C was highly expressed in prostate cancer when compared with benign prostate tissue in TCGA and the expression of UBE2C was also in parallel with the Gleason score of prostate cancer. Cox regression analysis has indicated UBE2C could function as the independent prognostic factor of prostate cancer. GSEA showed UBE2C had played an important role in the pathway of prostate cancer, such as NOTCH signaling pathway, WNT-β-catenin signaling pathway. CONCLUSIONS: UBE2C was pivotal for the progression of prostate cancer and the level of UBE2C was important to predict the prognosis of patients.
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[26]
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GSM1695610
[28]
GSM1695611
[29]
GSM1695612
sample_count
30
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Genome-wide analysis of gene expression patterns in human prostate cancer (PCa)
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE70770
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=GSE70770
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE70770
version
null
note
All relevant data are available from the NCBI Gene Expression Omnibus (accession numbers GSE3325, GSE46602, GSE70770, GSE69223, GSE104749, GSE116918).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All relevant data are available from the NCBI Gene Expression Omnibus (accession numbers GSE3325, GSE46602, GSE70770, GSE69223, GSE104749, GSE116918).
access_statement_kind
data_availability_statement
sample_accessions array · 808 items
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[683]
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[685]
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[686]
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[687]
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[688]
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[689]
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[690]
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[691]
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[692]
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[693]
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[694]
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[695]
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[696]
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[697]
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[698]
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[699]
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[700]
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[701]
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[709]
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[710]
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[711]
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[712]
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[713]
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[714]
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[715]
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[716]
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[717]
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[718]
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[719]
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[720]
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[721]
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[722]
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[723]
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[724]
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[725]
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[726]
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[727]
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[728]
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[729]
GSM1884851
[730]
GSM1884852
[731]
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[732]
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[733]
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[734]
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[735]
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[736]
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[737]
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[738]
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[739]
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[742]
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[743]
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[748]
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[749]
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[752]
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[778]
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[779]
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[780]
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[781]
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[782]
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[783]
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[784]
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[785]
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[786]
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[787]
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[788]
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[789]
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[790]
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[791]
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[792]
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[793]
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[802]
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[803]
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[804]
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[805]
GSM1884927
[806]
GSM1884928
[807]
GSM1884929
sample_count
808
group_sizes
null
group_sizes_basis
null
platform
16104;6801;20641;10558
taxon
Homo sapiens
title
Prostate cancer stratification using molecular profiles
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 16 fields
id
asset:table:pmid:33630978:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
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sha256:f7535d3710c7ec6e2b67ee3ed81f0bdf84673ab5ac333e0f0a9765adf3709d03
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read_table
reader_status
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section[3]/table-wrap[1]#pone.0247827.t001
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null
note
Characteristics of the microarray datasets.
structure object · 5 fields
pmcid
PMC7906463
section_index
3
section_title
Microarray data
row_count
5
column_count
4
table object · 8 fields
label
Table 1
caption
Characteristics of the microarray datasets.
rows array · 5 items
[0] array · 4 items
[0]
Accession/ID
[1]
PMID
[2]
Experimental group
[3]
Control group
[1] array · 4 items
[0]
GSE3325
[1]
16286247
[2]
Prostate cancer tissue samples (7)
[3]
Benign prostate tissue samples (6)
[2] array · 4 items
[0]
GSE46602
[1]
26522007
[2]
Prostate cancer tissue samples (36)
[3]
Normal prostate gland samples (14)
[3] array · 4 items
[0]
GSE69223
[1]
26623558
[2]
Prostate cancer tissue samples (15)
[3]
Noncancerous tissue samples (15)
[4] array · 4 items
[0]
GSE104749
[1]
29285211
[2]
Prostate cancer tissue samples (4)
[3]
Benign prostate tissue samples (4)
locator
section[3]/table-wrap[1]#pone.0247827.t001
[8] object · 16 fields
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asset:table:pmid:33630978:2
role
table
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jats-table
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application/vnd.jats.table+json
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null
sha256
sha256:6f4553a52a1b1a3c1e8e880fa2d8e8d433c81ca8606482c27b0a51cbd7c880b2
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read_table
reader_status
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section[8]/table-wrap[1]#pone.0247827.t002
version
null
note
The relationships between UBE2C and clinical parameters (n = 203).
structure object · 5 fields
pmcid
PMC7906463
section_index
8
section_title
Clinical parameters analysis
row_count
18
column_count
5
table object · 8 fields
label
Table 2
caption
The relationships between UBE2C and clinical parameters (n = 203).
rows array · 18 items
[0] array · 5 items
[0]
Clinical parameters
[1]
[2]
Low UBE2C (n = 102)
[3]
High UBE2C (n = 101)
[4]
P value
[1] array · 5 items
[0]
Age
[1]
Mean±Std. Deviation
[2]
60.31±6.567
[3]
60.59±6.685
[4]
0.863
[2] array · 4 items
[0]
Median(Minimum ~Maximum)
[1]
62(41~72)
[2]
61(42~73)
[3]
[3] array · 5 items
[0]
Gleason Score
[1]
≤6
[2]
31(30.4%)
[3]
6(5.9%)
[4]
<0.0001
[4] array · 4 items
[0]
7 = 3+4
[1]
46(45.1%)
[2]
55(54.5%)
[3]
[5] array · 4 items
[0]
7 = 4+3
[1]
16(15.7%)
[2]
23(22.8%)
[3]
[6] array · 4 items
[0]
8–10
[1]
7(6.9%)
[2]
17(16.8%)
[3]
[7] array · 4 items
[0]
Unknown
[1]
2(2.0%)
[2]
0(0.0%)
[3]
[8] array · 5 items
[0]
PSA
[1]
Mean±Std. Deviation
[2]
9.8117±12.04088
[3]
9.2606±5.34981
[4]
0.187
[9] array · 4 items
[0]
<4
[1]
5(4.9%)
[2]
4(4.0%)
[3]
0.798
[10] array · 4 items
[0]
4–10
[1]
70(68.6%)
[2]
66(65.3%)
[3]
[11] array · 4 items
[0]
>10
[1]
25(24.5%)
[2]
30(29.7%)
[3]
[12] array · 5 items
[0]
Extra-capsular extension (ECE)
[1]
Yes
[2]
48(47.1%)
[3]
71(70.3%)
[4]
<0.001
[13] array · 4 items
[0]
No/Unknown
[1]
54(52.9%)
[2]
30(29.7%)
[3]
[14] array · 5 items
[0]
Positive surgical margins (PSM)
[1]
Yes
[2]
30(29.4%)
[3]
63(62.4%)
[4]
0.215
[15] array · 4 items
[0]
No/Unknown
[1]
72(70.6%)
[2]
38(37.6%)
[3]
[16] array · 5 items
[0]
Biochemical relapse (BCR)
[1]
Yes
[2]
23(22.55%)
[3]
41(40.6%)
[4]
0.006
[17] array · 4 items
[0]
No/Unknown
[1]
79(77.5%)
[2]
60(59.4%)
[3]
locator
section[8]/table-wrap[1]#pone.0247827.t002
[9] object · 16 fields
id
asset:table:pmid:33630978:3
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table
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jats-table
media_type
application/vnd.jats.table+json
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null
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sha256:b15c87ce412235f32a5a0bc21454a65dee6c9b396d75498fe6158e8d2ce0bac0
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read_table
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section[8]/table-wrap[2]#pone.0247827.t003
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null
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Univariate and multivariate Cox regression analysis for prostate cancer relapse-free survival.
structure object · 5 fields
pmcid
PMC7906463
section_index
8
section_title
Clinical parameters analysis
row_count
13
column_count
6
table object · 8 fields
label
Table 3
caption
Univariate and multivariate Cox regression analysis for prostate cancer relapse-free survival.
rows array · 13 items
[0] array · 6 items
[0]
Variate
[1]
[2]
Univariate
[3]
[4]
multivariate
[5]
[1] array · 5 items
[0]
[1]
HR (95%CI)
[2]
P value
[3]
HR (95%CI)
[4]
P value
[2] array · 6 items
[0]
Age
[1]
[2]
1.011(0.942–1.084)
[3]
0.763
[4]
[5]
[3] array · 6 items
[0]
UBE2C
[1]
[2]
3.142(2.218–4.449)
[3]
0.0001
[4]
2.796(1.762–4.436)
[5]
0.0001
[4] array · 6 items
[0]
PSA
[1]
[2]
1.022(1.005–1.038)
[3]
0.01
[4]
1.014(0.992–1.037)
[5]
0.217
[5] array · 6 items
[0]
Gleason
[1]
< = 6
[2]
1
[3]
[4]
1
[5]
[6] array · 5 items
[0]
7 = 3+4
[1]
6.186(1.462–26.175)
[2]
0.013
[3]
3.576(0.811–15.770)
[4]
0.092
[7] array · 5 items
[0]
7 = 4+3
[1]
16.085(3.752–68.947)
[2]
<0.0001
[3]
8.974(1.984–40.601)
[4]
0.004
[8] array · 5 items
[0]
8–10
[1]
32.987(7.539–144.331)
[2]
<0.0001
[3]
12.568(2.602–60.703)
[4]
0.002
[9] array · 6 items
[0]
ECE
[1]
YES
[2]
1
[3]
[4]
1
[5]
[10] array · 5 items
[0]
NO/unknown
[1]
0.393(0.227–0.683)
[2]
0.001
[3]
0.619(0.335–1.144)
[4]
0.126
[11] array · 6 items
[0]
PSM
[1]
YES
[2]
1
[3]
[4]
1
[5]
[12] array · 5 items
[0]
NO/unknown
[1]
0.455(0.278–0.744)
[2]
0.002
[3]
0.499(0.295–0.842)
[4]
0.009
locator
section[8]/table-wrap[2]#pone.0247827.t003
gaps array · 12 items
[0]
asset:data:geo:GSE104749 not downloaded
[1]
asset:data:geo:GSE104749 licence not read
[2]
asset:data:geo:GSE116918 not downloaded
[3]
asset:data:geo:GSE116918 licence not read
[4]
asset:data:geo:GSE3325 not downloaded
[5]
asset:data:geo:GSE3325 licence not read
[6]
asset:data:geo:GSE46602 not downloaded
[7]
asset:data:geo:GSE46602 licence not read
[8]
asset:data:geo:GSE69223 not downloaded
[9]
asset:data:geo:GSE69223 licence not read
[10]
asset:data:geo:GSE70770 not downloaded
[11]
asset:data:geo:GSE70770 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
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
0.7
band
medium
quote
cox regression
[1] object · 10 fields
id
method-2
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
protein-protein interaction
[2] object · 10 fields
id
method-3
family
network_analysis
specific
centrality
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
0.8
band
high
quote
Centrality
[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
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]
cox_ph
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: cox_proportional_hazards.
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 · 6 items
[0]
GSE3325
[1]
GSE46602
[2]
GSE69223
[3]
GSE104749
[4]
GSE70770
[5]
GSE116918
resolved_accessions array · 6 items
[0]
GSE3325
[1]
GSE46602
[2]
GSE69223
[3]
GSE104749
[4]
GSE70770
[5]
GSE116918
statements array · 1 item
[0]
All relevant data are available from the NCBI Gene Expression Omnibus (accession numbers GSE3325, GSE46602, GSE70770, GSE69223, GSE104749, GSE116918).
basis
The paper names GSE3325, GSE46602, GSE69223, GSE104749, GSE70770, GSE116918 in NCBI 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]
cox_ph
assets array · 5 items
[0]
source:pmid:33630978
[1]
data:geo:GSE104749
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asset:table:pmid:33630978:1
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asset:table:pmid:33630978:2
[4]
asset:table:pmid:33630978:3
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
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[0]
data:geo:GSE104749
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review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
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MiniMax-M3.1-Flash
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minimax
provider_family
minimax
read_at
2026-10-31T19:26:04Z
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single_reader
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absent
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verbatim
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3
usage object · 3 fields
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32292
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2818
cached_tokens
783
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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
[1]
review.machine_critique
[2]
review.human_critique
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absent
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not_run
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execution.not_run
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pmid:33630978
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paper
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pmid:33630978
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source:pmid:33630978
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manuscript
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PMID 33630978 full text
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data:geo:GSE104749
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GEO GSE104749
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pmid:33630978
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pmid:33630978
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source:pmid:33630978
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PMID 33630978 full text
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data:geo:GSE104749
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GEO GSE104749
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agent:corpus-assay-engine
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extraction
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source:pmid:33630978
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agent:minimax-reader
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[0]
data:geo:GSE104749
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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MiniMax literature reader
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asset:data:geo:GSE104749 licence not read
[1]
asset:data:geo:GSE104749 not downloaded
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asset:data:geo:GSE116918 licence not read
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asset:data:geo:GSE116918 not downloaded
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asset:data:geo:GSE3325 licence not read
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asset:data:geo:GSE3325 not downloaded
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asset:data:geo:GSE46602 licence not read
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asset:data:geo:GSE46602 not downloaded
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asset:data:geo:GSE69223 licence not read
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asset:data:geo:GSE69223 not downloaded
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asset:data:geo:GSE70770 licence not read
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asset:data:geo:GSE70770 not downloaded
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execution.not_run
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review.human_critique
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review.independent_reader
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review.machine_critique
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prognosis of prostate cancer. METHODS: Four microarray datasets containing primary prostate cancer
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33630978", "kind": "science-record", "revision": 7, "content_hash": "sha256:f5dcf83e93a8b9635e12b754148012ef75702a8efe15fd2e2052ef027c682c69", "created_at": "2026-11-01T15:41:26Z", "updated_at": "2026-11-01T22:03:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of UBE2C as hub gene in driving prostate cancer by integrated bioinformatics analysis.", "doi": "10.1371/journal.pone.0247827", "pmid": "33630978", "authors": ["Yan Wang", "Jili Wang", "Qiusu Tang", "Guoping Ren"], "journal": "PloS one", "year": 2021, "abstract": "BACKGROUND: The aim of this study was to identify novel genes in promoting primary prostate cancer (PCa) progression and to explore its role in the prognosis of prostate cancer.\nMETHODS: Four microarray datasets containing primary prostate cancer samples and benign prostate samples were downloaded from Gene Expression Omnibus (GEO), then differentially expressed genes (DEGs) were identified by R software (version 3.6.2). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to identify the function of DEGs. Using STRING and Cytoscape (version 3.7.1), we constructed a protein-protein interaction (PPI) network and identified the hub gene of prostate cancer. Clinical data on GSE70770 and TCGA was collected to show the role of hub gene in prostate cancer progression. The correlations between hub gene and clinical parameters were also indicated by cox regression analysis. Gene Set Enrichment Analysis (GSEA) was performed to highlight the function of Ubiquitin-conjugating enzyme complex (UBE2C) in prostate cancer.\nRESULTS: 243 upregulated genes and 298 downregulated genes that changed in at least two microarrays have been identified. GO and KEGG analysis indicated significant changes in the oxidation-reduction process, angiogenesis, TGF-beta signaling pathway. UBE2C, PDZ-binding kinase (PBK), cyclin B1 (CCNB1), Cyclin-dependent kinase inhibitor 3 (CDKN3), topoisomerase II alpha (TOP2A), Aurora kinase A (AURKA) and MKI67 were identified as the candidate hub genes, which were all correlated with prostate cancer patient' disease-free survival in TCGA. In fact, only UBE2C was highly expressed in prostate cancer when compared with benign prostate tissue in TCGA and the expression of UBE2C was also in parallel with the Gleason score of prostate cancer. Cox regression analysis has indicated UBE2C could function as the independent prognostic factor of prostate cancer. GSEA showed UBE2C had played an important role in the pathway of prostate cancer, such as NOTCH signaling pathway, WNT-β-catenin signaling pathway.\nCONCLUSIONS: UBE2C was pivotal for the progression of prostate cancer and the level of UBE2C was important to predict the prognosis of patients.", "claims": [{"id": "claim-data-access", "statement": "All relevant data are available from the NCBI Gene Expression Omnibus (accession numbers GSE3325, GSE46602, GSE70770, GSE69223, GSE104749, GSE116918).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33630978", "locator": "sections[19] \"Data Availability\" paragraph 2", "quote": "All relevant data are available from the NCBI Gene Expression Omnibus (accession numbers GSE3325, GSE46602, GSE70770, GSE69223, GSE104749, GSE116918)."}], "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:33630978"], "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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