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pmid:32292720

Gene Expression Profiles Identified Novel Urine Biomarkers for Diagnosis and Prognosis of High-Grade Bladder Urothelial Carcinoma.

Yuxuan Song · Donghui Jin · Ningjing Ou · Zhiwen Luo · Guangyuan Chen · Jingyi Chen · Yongjiao Yang · Xiaoqiang Liu

Frontiers in oncology · 2020 doi:10.3389/fonc.2020.00394

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complete

Experiment

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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
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pmid:32292720
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2026-11-01T15:40:59Z
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2026-11-01T22:44:45Z
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paper object · 10 fields
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title
Gene Expression Profiles Identified Novel Urine Biomarkers for Diagnosis and Prognosis of High-Grade Bladder Urothelial Carcinoma.
doi
10.3389/fonc.2020.00394
pmid
32292720
authors array · 8 items
[0]
Yuxuan Song
[1]
Donghui Jin
[2]
Ningjing Ou
[3]
Zhiwen Luo
[4]
Guangyuan Chen
[5]
Jingyi Chen
[6]
Yongjiao Yang
[7]
Xiaoqiang Liu
journal
Frontiers in oncology
year
2020
abstract
Bladder urothelial carcinoma (BC) has been identified as one of the most common malignant neoplasm worldwide. High-grade bladder urothelial carcinoma (HGBC) is aggressive with a high risk of recurrence, progression, metastasis, and poor prognosis. Therefore, HGBC clinical management is still a challenge. We performed the present study to seek new urine biomarkers for HGBC and investigate how they promote HGBC progression and thus affect the prognosis based on large-scale sequencing data. We identified the overlapped differentially expressed genes (DEGs) by combining GSE68020 and The Cancer Genome Atlas (TCGA) datasets. Subsequent receiver operating characteristic (ROC) curves, Kaplan-Meier (KM) curves, and Cox regression were conducted to test the diagnostic and prognostic role of the hub genes. Chi-square test and logistic regression were carried out to analyze the associations between clinicopathologic characteristics and the hub genes. Ultimately, we performed gene set enrichment analysis (GSEA), protein-protein interaction (PPI) networks, and Bayesian networks (BNs) to explore the underlying mechanisms by which ECM1, CRYAB, CGNL1, and GPX3 are involved in tumor progression. Immunohistochemistry based on The Human Protein Atlas and quantitative real-time polymerase chain reaction based on urine samples confirmed the downregulation and diagnostic values of the hub genes in HGBC. In conclusion, our study indicated that CRYAB, CGNL1, ECM1, and GPX3 are potential urine biomarkers of HGBC. These four novel urine biomarkers will have attractive applications to provide new diagnostic methods, prognostic predictors and treatment targets for HGBC, which could improve the prognosis of HGBC patients, if validated by further experiments and larger prospective clinical trials.
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To identify DEGs in GSE68020 and TCGA BLCA datasets between BC patients and non-tumor healthy controls, we utilized limma R package (12).
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sections[5] "RNA Data Processing and Identification of Differentially Expressed Genes" paragraph 2
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To identify DEGs in GSE68020 and TCGA BLCA datasets between BC patients and non-tumor healthy controls, we utilized limma R package (12).
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Publicly available datasets were analyzed in this study. The data can be found in Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/geo/), The Cancer Genome Atlas (TCGA: http://tcga-data.nci.nih.gov/tcga/), and The Human Protein Atlas (THPA: http://www.proteinatlas.org/). GSE68020 dataset was from GEO; BLCA (Bladder Urothelial Carcinoma) dataset was from TCGA; and immunohistochemistry was from THPA. All the data are open access. Summarized detailed characteristics of immunohistochemistry data from THPA are in Supplementary Table 1.
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sections[25] "Data Availability Statement" paragraph 2
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Publicly available datasets were analyzed in this study. The data can be found in Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/geo/), The Cancer Genome Atlas (TCGA: http://tcga-data.nci.nih.gov/tcga/), and The Human Protein Atlas (THPA: http://www.proteinatlas.org/). GSE68020 dataset was from GEO; BLCA (Bladder Urothelial Carcinoma) dataset was from TCGA; and immunohistochemistry was from THPA. All the data are open access. Summarized detailed characteristics of immunohistochemistry data from THPA are in Supplementary Table 1.
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Publicly available datasets were analyzed in this study. The data can be found in Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/geo/), The Cancer Genome Atlas (TCGA: http://tcga-data.nci.nih.gov/tcga/), and The Human Protein Atlas (THPA: http://www.proteinatlas.org/). GSE68020 dataset was from GEO; BLCA (Bladder Urothelial Carcinoma) dataset was from TCGA; and immunohistochemistry was from THPA. All the data are open access. Summarized detailed characteristics of immunohistochemistry data from THPA are in Supplementary Table 1.
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Publicly available datasets were analyzed in this study. The data can be found in Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/geo/), The Cancer Genome Atlas (TCGA: http://tcga-data.nci.nih.gov/tcga/), and The Human Protein Atlas (THPA: http://www.proteinatlas.org/). GSE68020 dataset was from GEO; BLCA (Bladder Urothelial Carcinoma) dataset was from TCGA; and immunohistochemistry was from THPA. All the data are open access. Summarized detailed characteristics of immunohistochemistry data from THPA are in Supplementary Table 1.
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Identification of gene expression biomarkers in urine for the non-invasive detection of bladder cancer
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Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.
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PMC7118735
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Immunohistochemistry From the Human Protein Atlas
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Table 5
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Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.
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[0] array · 5 items
[0]
Gene name
[1]
[2]
N
[3]
Immunohistochemistry expression level
[4]
P-value
[1] array · 8 items
[0]
[1]
[2]
[3]
Negative (–)
[4]
Weakly positive (+)
[5]
Positive (++)
[6]
Strongly positive (+++)
[7]
[2] array · 8 items
[0]
GPX3
[1]
Normal bladder tissue
[2]
2
[3]
0
[4]
2
[5]
0
[6]
0
[7]
0.016
[3] array · 8 items
[0]
[1]
HGBC tissue
[2]
8
[3]
7
[4]
1
[5]
0
[6]
0
[7]
[4] array · 8 items
[0]
ECM1
[1]
Normal bladder tissue
[2]
2
[3]
0
[4]
2
[5]
0
[6]
0
[7]
0.001
[5] array · 8 items
[0]
[1]
HGBC tissue
[2]
9
[3]
9
[4]
0
[5]
0
[6]
0
[7]
[6] array · 8 items
[0]
CRYAB
[1]
Normal bladder tissue
[2]
5
[3]
5
[4]
0
[5]
0
[6]
0
[7]
0.439
[7] array · 8 items
[0]
[1]
HGBC tissue
[2]
9
[3]
8
[4]
0
[5]
0
[6]
1
[7]
[8] array · 8 items
[0]
CGNL1
[1]
Normal bladder tissue
[2]
3
[3]
3
[4]
0
[5]
0
[6]
0
[7]
0.569
[9] array · 8 items
[0]
[1]
HGBC tissue
[2]
10
[3]
9
[4]
1
[5]
0
[6]
0
[7]
[10] array · 8 items
[0]
CRNN
[1]
Normal bladder tissue
[2]
4
[3]
2
[4]
2
[5]
0
[6]
0
[7]
0.477
[11] array · 8 items
[0]
[1]
HGBC tissue
[2]
7
[3]
5
[4]
2
[5]
0
[6]
0
[7]
locator
section[21]/table-wrap[1]#T5
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Primer sequences used to amplify target genes by quantitative real-time polymerase chain reaction (qRT-PCR).
structure object · 5 fields
pmcid
PMC7118735
section_index
12
section_title
Urine Samples in Tianjin Validation Cohort, RNA Extraction and Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR)
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label
Table 1
caption
Primer sequences used to amplify target genes by quantitative real-time polymerase chain reaction (qRT-PCR).
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[0] array · 2 items
[0]
Gene name
[1]
Primer sequences
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[0]
GPX3
[1]
Forward
[2]
5′-GAAGGCTCCCCGCCAGAT-3′
[2] array · 3 items
[0]
[1]
Reverse
[2]
5′-TCAATGGTGAGGGCTCCGTA-3′
[3] array · 3 items
[0]
ECM1
[1]
Forward
[2]
5′-AGCACCCCAATGAACAGAAGG-3′
[4] array · 3 items
[0]
[1]
Reverse
[2]
5′-CTGCATTCCAGGACTCAGGTT-3′
[5] array · 3 items
[0]
CRYAB
[1]
Forward
[2]
5'-TGGATAGAAGGGGGACAAGGAG-3′
[6] array · 3 items
[0]
[1]
Reverse
[2]
5′-CATGGAGACTTGTGATCCGGG-3′
[7] array · 3 items
[0]
CGNL1
[1]
Forward
[2]
5'-TACGGTGTCAGTATTCGGGTC-3′
[8] array · 3 items
[0]
[1]
Reverse
[2]
5′-GCTGGGCGTATGGGTTTTC-3′
[9] array · 3 items
[0]
CRNN
[1]
Forward
[2]
5′-GGGATCATCGAGGCCTTCAG-3′
[10] array · 3 items
[0]
[1]
Reverse
[2]
5′-CTGGATCGTGGGGTTTCACA-3′
[11] array · 3 items
[0]
GAPDH
[1]
Forward
[2]
5′-AGAAGGCTGGGGCTCATTTG-3′
[12] array · 3 items
[0]
[1]
Reverse
[2]
5′-AGGGGCCATCCACAGTCTTC-3′
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Relationship between expression of the five DEGs and clinicopathological characteristics in BC patients from TCGA.
structure object · 5 fields
pmcid
PMC7118735
section_index
17
section_title
Correlations Between Expression Levels of the 5 Hub Genes and Clinical Outcomes in TCGA BLCA Dataset
row_count
30
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17
table object · 8 fields
label
Table 2
caption
Relationship between expression of the five DEGs and clinicopathological characteristics in BC patients from TCGA.
rows array · 30 items
[0] array · 12 items
[0]
Clinical characteristics
[1]
Total (N)
[2]
CRYAB expression
[3]
P-value
[4]
ECM1 expression
[5]
P-value
[6]
GPX3 expression
[7]
P-value
[8]
CGNL1 expression
[9]
P-value
[10]
CRNN expression
[11]
P-value
[1] array · 17 items
[0]
(A)
[1]
[2]
High
[3]
Low
[4]
[5]
High
[6]
Low
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[8]
High
[9]
Low
[10]
[11]
High
[12]
Low
[13]
[14]
High
[15]
Low
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[2] array · 1 item
[0]
Histological grade
[3] array · 17 items
[0]
High grade
[1]
380
[2]
198 (52.1%)
[3]
182 (47.9%)
[4]
<0.001
[5]
199 (52.4%)
[6]
181 (47.6%)
[7]
<0.001
[8]
196 (51.6%)
[9]
184 (48.4%)
[10]
0.006
[11]
190 (50.0%)
[12]
190 (50.0%)
[13]
0.383
[14]
192 (50.5%)
[15]
188 (49.5%)
[16]
0.176
[4] array · 17 items
[0]
Low grade
[1]
20
[2]
2 (10.0%)
[3]
18 (90.0%)
[4]
[5]
1 (00.3%)
[6]
19 (05.0%)
[7]
[8]
4 (20.0%)
[9]
16 (80.0%)
[10]
[11]
8 (40.0%)
[12]
12 (60.0%)
[13]
[14]
7 (35.0%)
[15]
13 (65.0%)
[16]
[5] array · 1 item
[0]
UICC stage
[6] array · 17 items
[0]
Stage I+II
[1]
130
[2]
43 (33.1%)
[3]
87 (66.9%)
[4]
<0.001
[5]
47 (12.4%)
[6]
83 (21.8%)
[7]
<0.001
[8]
52 (40.0%)
[9]
78 (60.0%)
[10]
0.006
[11]
57 (43.8%)
[12]
73 (56.2%)
[13]
0.094
[14]
71 (54.6%)
[15]
59 (45.4%)
[16]
0.189
[7] array · 17 items
[0]
Stage III+IV
[1]
271
[2]
158 (58.3%)
[3]
113 (41.7%)
[4]
[5]
153 (40.3%)
[6]
118 (31.1%)
[7]
[8]
148 (54.6%)
[9]
123 (45.4%)
[10]
[11]
143 (52.8%)
[12]
128 (47.2%)
[13]
[14]
129 (47.6%)
[15]
142 (52.4%)
[16]
[8] array · 1 item
[0]
pT stage
[9] array · 17 items
[0]
T1
[1]
4
[2]
0 (0.0%)
[3]
4 (100.0%)
[4]
0.052
[5]
1 (00.3%)
[6]
3 (00.8%)
[7]
0.356
[8]
2 (50.0%)
[9]
2 (50.0%)
[10]
1.000
[11]
2 (50.0%)
[12]
2 (50.0%)
[13]
1.000
[14]
3 (75.0%)
[15]
1 (25.0%)
[16]
0.623
[10] array · 17 items
[0]
T2+T3+T4
[1]
367
[2]
193 (52.6%)
[3]
174 (47.4%)
[4]
[5]
191 (50.3%)
[6]
176 (46.3%)
[7]
[8]
189 (51.5%)
[9]
178 (48.5%)
[10]
[11]
184 (50.1%)
[12]
183 (49.9%)
[13]
[14]
184 (50.1%)
[15]
183 (49.9%)
[16]
[11] array · 1 item
[0]
pM stage
[12] array · 17 items
[0]
No (M0)
[1]
193
[2]
78 (40.4%)
[3]
115 (59.6%)
[4]
0.988
[5]
72 (18.9%)
[6]
121 (31.8%)
[7]
0.409
[8]
77 (39.9%)
[9]
116 (60.1%)
[10]
0.215
[11]
84 (43.5%)
[12]
109 (56.5%)
[13]
0.686
[14]
91 (47.2%)
[15]
102 (52.8%)
[16]
0.485
[13] array · 17 items
[0]
Yes (M1)
[1]
11
[2]
5 (45.5%)
[3]
6 (54.5%)
[4]
[5]
6 (01.6%)
[6]
5 (01.3%)
[7]
[8]
7 (63.6%)
[9]
4 (36.4%)
[10]
[11]
6 (54.5%)
[12]
5 (45.5%)
[13]
[14]
4 (36.4%)
[15]
7 (63.6%)
[16]
[14] array · 1 item
[0]
pN stage
[15] array · 17 items
[0]
No (N0)
[1]
234
[2]
108 (46.2%)
[3]
126 (53.8%)
[4]
<0.001
[5]
109 (28.7%)
[6]
125 (32.9%)
[7]
0.029
[8]
116 (49.6%)
[9]
118 (50.4%)
[10]
0.430
[11]
103 (44.0%)
[12]
131 (56.0%)
[13]
0.002
[14]
125 (53.4%)
[15]
109 (46.6%)
[16]
0.106
[16] array · 17 items
[0]
Yes (N1+N2+N3)
[1]
128
[2]
84 (65.6%)
[3]
44 (34.4%)
[4]
[5]
75 (19.7%)
[6]
53 (13.9%)
[7]
[8]
69 (53.9%)
[9]
59 (46.1%)
[10]
[11]
78 (60.9%)
[12]
50 (39.1%)
[13]
[14]
57 (44.5%)
[15]
71 (55.5%)
[16]
[17] array · 1 item
[0]
Age (years)
[18] array · 17 items
[0]
≤ 60
[1]
106
[2]
39 (36.8%)
[3]
67 (63.2%)
[4]
0.002
[5]
48 (12.6%)
[6]
58 (15.3%)
[7]
0.271
[8]
44 (41.5%)
[9]
62 (58.5%)
[10]
0.045
[11]
50 (47.2%)
[12]
56 (52.8%)
[13]
0.516
[14]
58 (54.7%)
[15]
48 (45.3%)
[16]
0.246
[19] array · 17 items
[0]
>60
[1]
297
[2]
162 (54.5%)
[3]
135 (45.5%)
[4]
[5]
153 (40.3%)
[6]
144 (37.9%)
[7]
[8]
157 (52.9%)
[9]
140 (47.1%)
[10]
[11]
151 (50.8%)
[12]
146 (49.2%)
[13]
[14]
143 (48.1%)
[15]
154 (51.9%)
[16]
[20] array · 1 item
[0]
gender
[21] array · 17 items
[0]
Female
[1]
105
[2]
55 (52.4%)
[3]
50 (47.6%)
[4]
0.551
[5]
55 (14.5%)
[6]
50 (13.2%)
[7]
0.551
[8]
55 (52.4%)
[9]
50 (47.6%)
[10]
0.551
[11]
51 (48.6%)
[12]
54 (51.4%)
[13]
0.756
[14]
57 (54.3%)
[15]
48 (45.7%)
[16]
0.293
[22] array · 17 items
[0]
Male
[1]
298
[2]
146 (49.0%)
[3]
152 (51.0%)
[4]
[5]
146 (38.4%)
[6]
152 (40.0%)
[7]
[8]
146 (49.0%)
[9]
152 (51.0%)
[10]
[11]
150 (50.3%)
[12]
148 (49.7%)
[13]
[14]
144 (48.3%)
[15]
154 (51.7%)
[16]
[23] array · 12 items
[0]
(B)
[1]
[2]
OR (95%CI)
[3]
[4]
OR (95%CI)
[5]
[6]
OR (95%CI)
[7]
[8]
OR (95%CI)
[9]
[10]
OR (95%CI)
[11]
[24] array · 12 items
[0]
Histological grade (high vs. low)
[1]
400
[2]
9.79 (2.77, 62.14)
[3]
0.002
[4]
20.89 (4.27, 377.21)
[5]
0.003
[6]
4.26 (1.53, 15.08)
[7]
0.011
[8]
1.50 (0.61, 3.91)
[9]
0.386
[10]
2.38 (0.90, 7.43)
[11]
0.100
[25] array · 12 items
[0]
UICC stage (III+IV vs. I+II)
[1]
401
[2]
2.83 (1.83, 4.41)
[3]
0.000
[4]
2.30(1.49.3.54)
[5]
0.000
[6]
1.80 (1.18, 2.77)
[7]
0.006
[8]
1.43 (0.94, 2.18)
[9]
0.095
[10]
0.85 (0.56, 1.29)
[11]
0.440
[26] array · 12 items
[0]
pN stage (N1+N2+N3 vs. N0)
[1]
362
[2]
2.23 (1.43, 3.50)
[3]
0.000
[4]
1.62 (1.05, 2.52)
[5]
0.029
[6]
1.19 (0.77, 1.84)
[7]
0.431
[8]
1.98 (1.28, 3.09)
[9]
0.002
[10]
0.76 (0.49, 1.18)
[11]
0.222
[27] array · 12 items
[0]
pM stage (M1 vs. M0)
[1]
204
[2]
1.23 (0.34, 4.22)
[3]
0.741
[4]
2.02 (0.59, 7.22)
[5]
0.261
[6]
2.64 (0.77, 10.35)
[7]
0.132
[8]
1.56(0.45, 5.57)
[9]
0.477
[10]
0.74 (0.19, 2.54)
[11]
0.642
[28] array · 12 items
[0]
Age (>60 vs. ≤ 60)
[1]
403
[2]
2.06(1.31, 3.27)
[3]
0.002
[4]
1.28 (0.82, 2.01)
[5]
0.271
[6]
1.58 (1.01, 2.48)
[7]
0.046
[8]
1.16 (0.74, 1.81)
[9]
0.516
[10]
0.86 (0.55, 1.34)
[11]
0.498
[29] array · 12 items
[0]
Gender (male vs. female)
[1]
403
[2]
0.87 (0.56, 1.36)
[3]
0.551
[4]
0.87(0.56, 1.36)
[5]
0.551
[6]
0.87 (0.56, 1.36)
[7]
0.551
[8]
1.07 (0.69, 1.68)
[9]
0.756
[10]
0.68 (0.43, 1.06)
[11]
0.091
locator
section[17]/table-wrap[1]#T2
[5] object · 16 fields
id
asset:table:pmid:32292720:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:b89daeee4f84af205ceae7f8b07ca2ba2942b47860f69b9f6d8deff980d41240
bytes
1075
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[17]/table-wrap[2]#T3
version
null
note
Univariate and multivariate Cox analyses between expression levels of the five DEGs and patient survival based on TCGA.
structure object · 5 fields
pmcid
PMC7118735
section_index
17
section_title
Correlations Between Expression Levels of the 5 Hub Genes and Clinical Outcomes in TCGA BLCA Dataset
row_count
13
column_count
5
table object · 8 fields
label
Table 3
caption
Univariate and multivariate Cox analyses between expression levels of the five DEGs and patient survival based on TCGA.
rows array · 13 items
[0] array · 5 items
[0]
Items
[1]
Univariate Cox
[2]
P-value
[3]
Multivariate Cox
[4]
P-value
[1] array · 5 items
[0]
Histological grade
[1]
-
[2]
0.996
[3]
-
[4]
-
[2] array · 5 items
[0]
UICC stage
[1]
1.51 (1.06, 2.15)
[2]
0.024
[3]
1.27 (0.85, 1.9)
[4]
0.245
[3] array · 5 items
[0]
pT stage
[1]
-
[2]
0.997
[3]
-
[4]
-
[4] array · 5 items
[0]
pM stage
[1]
2.09 (0.75, 5.80)
[2]
0.158
[3]
1.29 (0.44, 3.8)
[4]
0.641
[5] array · 5 items
[0]
pN stage
[1]
2.18 (1.30, 3.66)
[2]
0.003
[3]
1.97 (1.08, 3.58)
[4]
0.026
[6] array · 5 items
[0]
Age
[1]
2.30 (1.09, 4.85)
[2]
0.029
[3]
2.58 (1.18, 5.64)
[4]
0.018
[7] array · 5 items
[0]
Gender
[1]
0.59 (0.34, 1.03)
[2]
0.062
[3]
0.61 (0.34, 1.09)
[4]
0.095
[8] array · 5 items
[0]
CRYAB
[1]
1.26 (1.03, 1.55)
[2]
0.026
[3]
1.12 (0.83, 1.52)
[4]
0.443
[9] array · 5 items
[0]
ECM1
[1]
1.42 (1.18, 1.71)
[2]
<0.001
[3]
1.44 (1.17, 1.78)
[4]
0.001
[10] array · 5 items
[0]
CGNL1
[1]
1.19 (0.71, 1.98)
[2]
0.511
[3]
0.98 (0.52, 1.85)
[4]
0.957
[11] array · 5 items
[0]
CRNN
[1]
1.16 (0.86, 1.57)
[2]
0.339
[3]
0.94 (0.68, 1.3)
[4]
0.700
[12] array · 5 items
[0]
GPX3
[1]
0.97 (0.82, 1.15)
[2]
0.716
[3]
0.81 (0.65, 0.99)
[4]
0.043
locator
section[17]/table-wrap[2]#T3
[6] object · 16 fields
id
asset:table:pmid:32292720:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:78b76d14f8b3dbed0a4750a7b6e0f00e139bfd31c40c452de46ef8334c1d3e69
bytes
4029
access
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verified
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read_table
reader_status
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identifier
section[19]/table-wrap[1]#T4
version
null
note
GO functional and KEGG pathway enrichments of PPI networks based on the four gene modules.
structure object · 5 fields
pmcid
PMC7118735
section_index
19
section_title
PPI Network Analyses and Module Functional Enrichment
row_count
26
column_count
12
table object · 8 fields
label
Table 4
caption
GO functional and KEGG pathway enrichments of PPI networks based on the four gene modules.
rows array · 26 items
[0] array · 4 items
[0]
CGNL1
[1]
GPX3
[2]
ECM1
[3]
CRYAB
[1] array · 12 items
[0]
GOterm/pathway
[1]
Description
[2]
FDR
[3]
GOterm/pathway
[4]
Description
[5]
FDR
[6]
GOterm/pathway
[7]
Description
[8]
FDR
[9]
GOterm/pathway
[10]
Description
[11]
FDR
[2] array · 1 item
[0]
BP (GO)
[3] array · 12 items
[0]
GO:0051694
[1]
Pointed-end actin filament capping
[2]
0.0067
[3]
GO:1990748
[4]
Cellular detoxification
[5]
3.60E-14
[6]
GO:0002576
[7]
Platelet degranulation
[8]
6.94E-22
[9]
GO:0007601
[10]
Visual perception
[11]
5.15E-07
[4] array · 12 items
[0]
GO:0031032
[1]
Actomyosin structure organization
[2]
0.0067
[3]
GO:0098869
[4]
Cellular oxidant detoxification
[5]
3.53E-12
[6]
GO:0010466
[7]
Negative regulation of peptidase activity
[8]
7.33E-06
[9]
GO:0051260
[10]
Protein homooligomerization
[11]
0.00011
[5] array · 12 items
[0]
GO:0030036
[1]
Actin cytoskeleton organization
[2]
0.0135
[3]
GO:0006749
[4]
Glutathione metabolic process
[5]
9.98E-09
[6]
GO:0030162
[7]
Regulation of proteolysis
[8]
4.12E-05
[9]
GO:0003008
[10]
System process
[11]
0.00013
[6] array · 12 items
[0]
GO:0016338
[1]
Calcium-independent cell-cell adhesion via plasma membrane cell-adhesion molecules
[2]
0.0135
[3]
GO:0006979
[4]
Response To Oxidative Stress
[5]
3.25E-08
[6]
GO:0010951
[7]
Negative regulation of endopeptidase activity
[8]
0.00021
[9]
GO:0050877
[10]
Nervous system process
[11]
0.00018
[7] array · 12 items
[0]
GO:0007015
[1]
Actin filament organization
[2]
0.0172
[3]
GO:0034599
[4]
Cellular response to oxidative stress
[5]
9.65E-08
[6]
GO:0051336
[7]
Regulation of hydrolase activity
[8]
0.00059
[9]
GO:0032387
[10]
Negative regulation of intracellular transport
[11]
0.00051
[8] array · 1 item
[0]
MF (GO)
[9] array · 12 items
[0]
GO:0005523
[1]
Tropomyosin binding
[2]
0.0027
[3]
GO:0016209
[4]
Antioxidant activity
[5]
7.12E-13
[6]
GO:0004866
[7]
Endopeptidase inhibitor activity
[8]
8.89E-05
[9]
GO:0005212
[10]
Structural constituent of eye lens
[11]
1.02E-19
[10] array · 12 items
[0]
GO:0008092
[1]
Cytoskeletal protein binding
[2]
0.0426
[3]
GO:0016491
[4]
Oxidoreductase activity
[5]
2.24E-08
[6]
GO:0030234
[7]
Enzyme regulator activity
[8]
0.0011
[9]
GO:0051082
[10]
Unfolded protein binding
[11]
0.00069
[11] array · 12 items
[0]
GO:0005515
[1]
Protein binding
[2]
0.0426
[3]
GO:0004784
[4]
Superoxide dismutase activity
[5]
2.19E-07
[6]
GO:0004867
[7]
Serine-type endopeptidase inhibitor activity
[8]
0.0087
[9]
GO:0042802
[10]
Identical protein binding
[11]
0.0031
[12] array · 12 items
[0]
—
[1]
—
[2]
—
[3]
GO:0003824
[4]
Catalytic Activity
[5]
1.87E-05
[6]
GO:0002020
[7]
Protease binding
[8]
0.0137
[9]
GO:0001540
[10]
Amyloid-beta binding
[11]
0.0074
[13] array · 12 items
[0]
—
[1]
—
[2]
—
[3]
GO:0043295
[4]
Glutathione binding
[5]
0.00033
[6]
GO:0008201
[7]
Heparin binding
[8]
0.0173
[9]
—
[10]
—
[11]
—
[14] array · 1 item
[0]
CC (GO)
[15] array · 12 items
[0]
GO:0043296
[1]
Apical junction complex
[2]
0.00015
[3]
GO:0031970
[4]
Organelle envelope lumen
[5]
0.0016
[6]
GO:0031089
[7]
Platelet dense granule lumen
[8]
6.28E-32
[9]
—
[10]
—
[11]
—
[16] array · 12 items
[0]
GO:0005911
[1]
Cell-cell junction
[2]
0.00015
[3]
GO:1904813
[4]
Ficolin-1-rich granule Lumen
[5]
0.0472
[6]
GO:0005576
[7]
Extracellular region
[8]
7.36E-10
[9]
—
[10]
—
[11]
—
[17] array · 12 items
[0]
GO:0005923
[1]
Bicellular tight junction
[2]
0.0023
[3]
GO:0044444
[4]
Cytoplasmic part
[5]
0.0472
[6]
GO:0044421
[7]
Extracellular region part
[8]
7.40E-06
[9]
—
[10]
—
[11]
—
[18] array · 12 items
[0]
GO:0044430
[1]
Cytoskeletal part
[2]
0.0024
[3]
GO:0044429
[4]
Mitochondrial part
[5]
0.0472
[6]
GO:0005615
[7]
Extracellular space
[8]
4.37E-05
[9]
—
[10]
—
[11]
—
[19] array · 12 items
[0]
GO:0019897
[1]
Extrinsic component of plasma membrane
[2]
0.0024
[3]
GO:0044421
[4]
Extracellular region part
[5]
0.0472
[6]
GO:0031012
[7]
Extracellular matrix
[8]
0.0012
[9]
—
[10]
—
[11]
—
[20] array · 1 item
[0]
KEGG
[21] array · 12 items
[0]
hsa04530
[1]
Tight junction
[2]
0.0018
[3]
hsa00480
[4]
Glutathione metabolism
[5]
1.92E-09
[6]
—
[7]
—
[8]
—
[9]
hsa04141
[10]
Protein processing in endoplasmic reticulum
[11]
0.0216
[22] array · 12 items
[0]
hsa05152
[1]
Tuberculosis
[2]
0.0265
[3]
hsa04213
[4]
Longevity regulating pathway-multiple species
[5]
7.82E-05
[6]
—
[7]
—
[8]
—
[9]
—
[10]
—
[11]
—
[23] array · 12 items
[0]
hsa04145
[1]
Phagosome
[2]
0.0265
[3]
hsa04146
[4]
Peroxisome
[5]
0.00012
[6]
—
[7]
—
[8]
—
[9]
—
[10]
—
[11]
—
[24] array · 12 items
[0]
—
[1]
—
[2]
—
[3]
hsa05418
[4]
Fluid shear stress and atherosclerosis
[5]
0.00038
[6]
—
[7]
—
[8]
—
[9]
—
[10]
—
[11]
—
[25] array · 12 items
[0]
—
[1]
—
[2]
—
[3]
hsa05014
[4]
Amyotrophic lateral sclerosis
[5]
0.0022
[6]
—
[7]
—
[8]
—
[9]
—
[10]
—
[11]
—
locator
section[19]/table-wrap[1]#T4
[7] object · 16 fields
id
asset:table:pmid:32292720:6
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:66d9922e67f97994348e7bed128832476525112b36424043d337b4c8f2b5790b
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969
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open
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reader
read_table
reader_status
available
identifier
section[21]/table-wrap[1]#T5
version
null
note
Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.
structure object · 5 fields
pmcid
PMC7118735
section_index
21
section_title
Immunohistochemistry From the Human Protein Atlas
row_count
12
column_count
8
table object · 8 fields
label
Table 5
caption
Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.
rows array · 12 items
[0] array · 5 items
[0]
Gene name
[1]
[2]
N
[3]
Immunohistochemistry expression level
[4]
P-value
[1] array · 8 items
[0]
[1]
[2]
[3]
Negative (–)
[4]
Weakly positive (+)
[5]
Positive (++)
[6]
Strongly positive (+++)
[7]
[2] array · 8 items
[0]
GPX3
[1]
Normal bladder tissue
[2]
2
[3]
0
[4]
2
[5]
0
[6]
0
[7]
0.016
[3] array · 8 items
[0]
[1]
HGBC tissue
[2]
8
[3]
7
[4]
1
[5]
0
[6]
0
[7]
[4] array · 8 items
[0]
ECM1
[1]
Normal bladder tissue
[2]
2
[3]
0
[4]
2
[5]
0
[6]
0
[7]
0.001
[5] array · 8 items
[0]
[1]
HGBC tissue
[2]
9
[3]
9
[4]
0
[5]
0
[6]
0
[7]
[6] array · 8 items
[0]
CRYAB
[1]
Normal bladder tissue
[2]
5
[3]
5
[4]
0
[5]
0
[6]
0
[7]
0.439
[7] array · 8 items
[0]
[1]
HGBC tissue
[2]
9
[3]
8
[4]
0
[5]
0
[6]
1
[7]
[8] array · 8 items
[0]
CGNL1
[1]
Normal bladder tissue
[2]
3
[3]
3
[4]
0
[5]
0
[6]
0
[7]
0.569
[9] array · 8 items
[0]
[1]
HGBC tissue
[2]
10
[3]
9
[4]
1
[5]
0
[6]
0
[7]
[10] array · 8 items
[0]
CRNN
[1]
Normal bladder tissue
[2]
4
[3]
2
[4]
2
[5]
0
[6]
0
[7]
0.477
[11] array · 8 items
[0]
[1]
HGBC tissue
[2]
7
[3]
5
[4]
2
[5]
0
[6]
0
[7]
locator
section[21]/table-wrap[1]#T5
[8] object · 16 fields
id
asset:table:pmid:32292720:7
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:e668cbfde5e5b30b786f3c1a12a13135e8a8245fd1d4951a13664228f40d3bda
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access
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state
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reader
read_table
reader_status
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identifier
section[22]/table-wrap[1]#T6
version
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note
Characteristics of enrolled participants from Tianjin validation cohort.
structure object · 5 fields
pmcid
PMC7118735
section_index
22
section_title
Expression of GPX3, ECM1, CRYAB, CGNL1, and CRNN in Tianjin Validation Cohort
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Table 6
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Characteristics of enrolled participants from Tianjin validation cohort.
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18 (60.00%)
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13 (43.33%)
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16 (53.33%)
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8 (26.67%)
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6 (20.00%)
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13 (43.33%)
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17 (56.67%)
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To identify DEGs in GSE68020 and TCGA BLCA datasets between BC patients and non-tumor healthy controls, we utilized limma R package (12).
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Publicly available datasets were analyzed in this study. The data can be found in Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/geo/), The Cancer Genome Atlas (TCGA: http://tcga-data.nci.nih.gov/tcga/), and The Human Protein Atlas (THPA: http://www.proteinatlas.org/). GSE68020 dataset was from GEO; BLCA (Bladder Urothelial Carcinoma) dataset was from TCGA; and immunohistochemistry was from THPA. All the data are open access. Summarized detailed characteristics of immunohistochemistry data from THPA are in Supplementary Table 1.
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and GPX3 are involved in tumor progression. Immunohistochemistry based on The Human Protein Atlas and quantit
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To identify DEGs in GSE68020 and TCGA BLCA datasets between BC patients and non-tumor healthy controls, we utilized limma R package (12).
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High-grade bladder urothelial carcinoma (HGBC) is aggressive with a high risk of recurrence, progression, metastasis, and poor prognosis. Therefore, HGBC clinical management is still a challenge. We performed the present study to seek new urine biomarkers for HGBC and investigate how they promote HGBC progression and thus affect the prognosis based on large-scale sequencing data. We identified the overlapped differentially expressed genes (DEGs) by combining GSE68020 and The Cancer Genome Atlas (TCGA) datasets. Subsequent receiver operating characteristic (ROC) curves, Kaplan-Meier (KM) curves, and Cox regression were conducted to test the diagnostic and prognostic role of the hub genes. Chi-square test and logistic regression were carried out to analyze the associations between clinicopathologic characteristics and the hub genes. Ultimately, we performed gene set enrichment analysis (GSEA), protein-protein interaction (PPI) networks, and Bayesian networks (BNs) to explore the underlying mechanisms by which ECM1, CRYAB, CGNL1, and GPX3 are involved in tumor progression. Immunohistochemistry based on The Human Protein Atlas and quantitative real-time polymerase chain reaction based on urine samples confirmed the downregulation and diagnostic values of the hub genes in HGBC. In conclusion, our study indicated that CRYAB, CGNL1, ECM1, and GPX3 are potential urine biomarkers of HGBC. 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"title": "Identification of gene expression biomarkers in urine for the non-invasive detection of bladder cancer", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:32292720:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:66d9922e67f97994348e7bed128832476525112b36424043d337b4c8f2b5790b", "bytes": 969, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[21]/table-wrap[1]#T5", "version": null, "note": "Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.", "structure": {"pmcid": "PMC7118735", "section_index": 11, "section_title": "Immunohistochemistry From the Human Protein Atlas", "row_count": 12, "column_count": 8}, "table": {"label": "Table 5", "caption": "Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.", "rows": [["Gene name", "", "N", "Immunohistochemistry expression level", "P-value"], ["", "", "", "Negative (–)", "Weakly positive (+)", "Positive (++)", "Strongly positive (+++)", ""], ["GPX3", "Normal bladder tissue", "2", "0", "2", "0", "0", "0.016"], ["", "HGBC tissue", "8", "7", "1", "0", "0", ""], ["ECM1", "Normal bladder tissue", "2", "0", "2", "0", "0", "0.001"], ["", "HGBC tissue", "9", "9", "0", "0", "0", ""], ["CRYAB", "Normal bladder tissue", "5", "5", "0", "0", "0", "0.439"], ["", "HGBC tissue", "9", "8", "0", "0", "1", ""], ["CGNL1", "Normal bladder tissue", "3", "3", "0", "0", "0", "0.569"], ["", "HGBC tissue", "10", "9", "1", "0", "0", ""], ["CRNN", "Normal bladder tissue", "4", "2", "2", "0", "0", "0.477"], ["", "HGBC tissue", "7", "5", "2", "0", "0", ""]], "row_count": 12, "column_count": 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[["Gene name", "Primer sequences"], ["GPX3", "Forward", "5′-GAAGGCTCCCCGCCAGAT-3′"], ["", "Reverse", "5′-TCAATGGTGAGGGCTCCGTA-3′"], ["ECM1", "Forward", "5′-AGCACCCCAATGAACAGAAGG-3′"], ["", "Reverse", "5′-CTGCATTCCAGGACTCAGGTT-3′"], ["CRYAB", "Forward", "5'-TGGATAGAAGGGGGACAAGGAG-3′"], ["", "Reverse", "5′-CATGGAGACTTGTGATCCGGG-3′"], ["CGNL1", "Forward", "5'-TACGGTGTCAGTATTCGGGTC-3′"], ["", "Reverse", "5′-GCTGGGCGTATGGGTTTTC-3′"], ["CRNN", "Forward", "5′-GGGATCATCGAGGCCTTCAG-3′"], ["", "Reverse", "5′-CTGGATCGTGGGGTTTCACA-3′"], ["GAPDH", "Forward", "5′-AGAAGGCTGGGGCTCATTTG-3′"], ["", "Reverse", "5′-AGGGGCCATCCACAGTCTTC-3′"]], "row_count": 13, "column_count": 3, "numeric_cells": 12, "header_rows": 1, "locator": "section[12]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:32292720:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:297453fd3a7b1ede543ed28571341e57d45521466fbb5e36606608195a65da45", "bytes": 4298, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[1]#T2", "version": null, "note": "Relationship between expression of the five DEGs and clinicopathological characteristics in BC patients from TCGA.", "structure": {"pmcid": "PMC7118735", "section_index": 17, "section_title": "Correlations Between Expression Levels of the 5 Hub Genes and Clinical Outcomes in TCGA BLCA Dataset", "row_count": 30, "column_count": 17}, "table": {"label": "Table 2", "caption": "Relationship between expression of the five DEGs and clinicopathological characteristics in BC patients from TCGA.", "rows": [["Clinical characteristics", "Total (N)", "CRYAB expression", "P-value", "ECM1 expression", "P-value", "GPX3 expression", "P-value", "CGNL1 expression", "P-value", "CRNN expression", "P-value"], ["(A)", "", "High", "Low", "", "High", "Low", "", "High", "Low", "", "High", "Low", "", "High", "Low", ""], ["Histological grade"], ["High grade", "380", "198 (52.1%)", "182 (47.9%)", "<0.001", "199 (52.4%)", "181 (47.6%)", "<0.001", "196 (51.6%)", "184 (48.4%)", "0.006", "190 (50.0%)", "190 (50.0%)", "0.383", "192 (50.5%)", "188 (49.5%)", "0.176"], ["Low grade", "20", "2 (10.0%)", "18 (90.0%)", "", "1 (00.3%)", "19 (05.0%)", "", "4 (20.0%)", "16 (80.0%)", "", "8 (40.0%)", "12 (60.0%)", "", "7 (35.0%)", "13 (65.0%)", ""], ["UICC stage"], ["Stage I+II", "130", "43 (33.1%)", "87 (66.9%)", "<0.001", "47 (12.4%)", "83 (21.8%)", "<0.001", "52 (40.0%)", "78 (60.0%)", "0.006", "57 (43.8%)", "73 (56.2%)", "0.094", "71 (54.6%)", "59 (45.4%)", "0.189"], ["Stage III+IV", "271", "158 (58.3%)", "113 (41.7%)", "", "153 (40.3%)", "118 (31.1%)", "", "148 (54.6%)", "123 (45.4%)", "", "143 (52.8%)", "128 (47.2%)", "", "129 (47.6%)", "142 (52.4%)", ""], ["pT stage"], ["T1", "4", "0 (0.0%)", "4 (100.0%)", "0.052", "1 (00.3%)", "3 (00.8%)", "0.356", "2 (50.0%)", "2 (50.0%)", "1.000", "2 (50.0%)", "2 (50.0%)", "1.000", "3 (75.0%)", "1 (25.0%)", "0.623"], ["T2+T3+T4", "367", "193 (52.6%)", "174 (47.4%)", "", "191 (50.3%)", "176 (46.3%)", "", "189 (51.5%)", "178 (48.5%)", "", "184 (50.1%)", "183 (49.9%)", "", "184 (50.1%)", "183 (49.9%)", ""], ["pM stage"], ["No (M0)", "193", "78 (40.4%)", "115 (59.6%)", "0.988", "72 (18.9%)", "121 (31.8%)", "0.409", "77 (39.9%)", "116 (60.1%)", "0.215", "84 (43.5%)", "109 (56.5%)", "0.686", "91 (47.2%)", "102 (52.8%)", "0.485"], ["Yes (M1)", "11", "5 (45.5%)", "6 (54.5%)", "", "6 (01.6%)", "5 (01.3%)", "", "7 (63.6%)", "4 (36.4%)", "", "6 (54.5%)", "5 (45.5%)", "", "4 (36.4%)", "7 (63.6%)", ""], ["pN stage"], ["No (N0)", "234", "108 (46.2%)", "126 (53.8%)", "<0.001", "109 (28.7%)", "125 (32.9%)", "0.029", "116 (49.6%)", "118 (50.4%)", "0.430", "103 (44.0%)", "131 (56.0%)", "0.002", "125 (53.4%)", "109 (46.6%)", "0.106"], ["Yes (N1+N2+N3)", "128", "84 (65.6%)", "44 (34.4%)", "", "75 (19.7%)", "53 (13.9%)", "", "69 (53.9%)", "59 (46.1%)", "", "78 (60.9%)", "50 (39.1%)", "", "57 (44.5%)", "71 (55.5%)", ""], ["Age (years)"], ["≤ 60", "106", "39 (36.8%)", "67 (63.2%)", "0.002", "48 (12.6%)", "58 (15.3%)", "0.271", "44 (41.5%)", "62 (58.5%)", "0.045", "50 (47.2%)", "56 (52.8%)", "0.516", "58 (54.7%)", "48 (45.3%)", "0.246"], [">60", "297", "162 (54.5%)", "135 (45.5%)", "", "153 (40.3%)", "144 (37.9%)", "", "157 (52.9%)", "140 (47.1%)", "", "151 (50.8%)", "146 (49.2%)", "", "143 (48.1%)", "154 (51.9%)", ""], ["gender"], ["Female", "105", "55 (52.4%)", "50 (47.6%)", "0.551", "55 (14.5%)", "50 (13.2%)", "0.551", "55 (52.4%)", "50 (47.6%)", "0.551", "51 (48.6%)", "54 (51.4%)", "0.756", "57 (54.3%)", "48 (45.7%)", "0.293"], ["Male", "298", "146 (49.0%)", "152 (51.0%)", "", "146 (38.4%)", "152 (40.0%)", "", "146 (49.0%)", "152 (51.0%)", "", "150 (50.3%)", "148 (49.7%)", "", "144 (48.3%)", "154 (51.7%)", ""], ["(B)", "", "OR (95%CI)", "", "OR (95%CI)", "", "OR (95%CI)", "", "OR (95%CI)", "", "OR (95%CI)", ""], ["Histological grade (high vs. low)", "400", "9.79 (2.77, 62.14)", "0.002", "20.89 (4.27, 377.21)", "0.003", "4.26 (1.53, 15.08)", "0.011", "1.50 (0.61, 3.91)", "0.386", "2.38 (0.90, 7.43)", "0.100"], ["UICC stage (III+IV vs. I+II)", "401", "2.83 (1.83, 4.41)", "0.000", "2.30(1.49.3.54)", "0.000", "1.80 (1.18, 2.77)", "0.006", "1.43 (0.94, 2.18)", "0.095", "0.85 (0.56, 1.29)", "0.440"], ["pN stage (N1+N2+N3 vs. N0)", "362", "2.23 (1.43, 3.50)", "0.000", "1.62 (1.05, 2.52)", "0.029", "1.19 (0.77, 1.84)", "0.431", "1.98 (1.28, 3.09)", "0.002", "0.76 (0.49, 1.18)", "0.222"], ["pM stage (M1 vs. M0)", "204", "1.23 (0.34, 4.22)", "0.741", "2.02 (0.59, 7.22)", "0.261", "2.64 (0.77, 10.35)", "0.132", "1.56(0.45, 5.57)", "0.477", "0.74 (0.19, 2.54)", "0.642"], ["Age (>60 vs. ≤ 60)", "403", "2.06(1.31, 3.27)", "0.002", "1.28 (0.82, 2.01)", "0.271", "1.58 (1.01, 2.48)", "0.046", "1.16 (0.74, 1.81)", "0.516", "0.86 (0.55, 1.34)", "0.498"], ["Gender (male vs. female)", "403", "0.87 (0.56, 1.36)", "0.551", "0.87(0.56, 1.36)", "0.551", "0.87 (0.56, 1.36)", "0.551", "1.07 (0.69, 1.68)", "0.756", "0.68 (0.43, 1.06)", "0.091"]], "row_count": 30, "column_count": 17, "numeric_cells": 263, "header_rows": 1, "locator": "section[17]/table-wrap[1]#T2"}}, {"id": "asset:table:pmid:32292720:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:b89daeee4f84af205ceae7f8b07ca2ba2942b47860f69b9f6d8deff980d41240", "bytes": 1075, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[2]#T3", "version": null, "note": "Univariate and multivariate Cox analyses between expression levels of the five DEGs and patient survival based on TCGA.", "structure": {"pmcid": "PMC7118735", "section_index": 17, "section_title": "Correlations Between Expression Levels of the 5 Hub Genes and Clinical Outcomes in TCGA BLCA Dataset", "row_count": 13, "column_count": 5}, "table": {"label": "Table 3", "caption": "Univariate and multivariate Cox analyses between expression levels of the five DEGs and patient survival based on TCGA.", "rows": [["Items", "Univariate Cox", "P-value", "Multivariate Cox", "P-value"], ["Histological grade", "-", "0.996", "-", "-"], ["UICC stage", "1.51 (1.06, 2.15)", "0.024", "1.27 (0.85, 1.9)", "0.245"], ["pT stage", "-", "0.997", "-", "-"], ["pM stage", "2.09 (0.75, 5.80)", "0.158", "1.29 (0.44, 3.8)", "0.641"], ["pN stage", "2.18 (1.30, 3.66)", "0.003", "1.97 (1.08, 3.58)", "0.026"], ["Age", "2.30 (1.09, 4.85)", "0.029", "2.58 (1.18, 5.64)", "0.018"], ["Gender", "0.59 (0.34, 1.03)", "0.062", "0.61 (0.34, 1.09)", "0.095"], ["CRYAB", "1.26 (1.03, 1.55)", "0.026", "1.12 (0.83, 1.52)", "0.443"], ["ECM1", "1.42 (1.18, 1.71)", "<0.001", "1.44 (1.17, 1.78)", "0.001"], ["CGNL1", "1.19 (0.71, 1.98)", "0.511", "0.98 (0.52, 1.85)", "0.957"], ["CRNN", "1.16 (0.86, 1.57)", "0.339", "0.94 (0.68, 1.3)", "0.700"], ["GPX3", "0.97 (0.82, 1.15)", "0.716", "0.81 (0.65, 0.99)", "0.043"]], "row_count": 13, "column_count": 5, "numeric_cells": 42, "header_rows": 1, "locator": "section[17]/table-wrap[2]#T3"}}, {"id": "asset:table:pmid:32292720:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:78b76d14f8b3dbed0a4750a7b6e0f00e139bfd31c40c452de46ef8334c1d3e69", "bytes": 4029, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[19]/table-wrap[1]#T4", "version": null, "note": "GO functional and KEGG pathway enrichments of PPI networks based on the four gene modules.", "structure": {"pmcid": "PMC7118735", "section_index": 19, "section_title": "PPI Network Analyses and Module Functional Enrichment", "row_count": 26, "column_count": 12}, "table": {"label": "Table 4", "caption": "GO functional and KEGG pathway enrichments of PPI networks based on the four gene modules.", "rows": [["CGNL1", "GPX3", "ECM1", "CRYAB"], ["GOterm/pathway", "Description", "FDR", "GOterm/pathway", "Description", "FDR", "GOterm/pathway", "Description", "FDR", "GOterm/pathway", "Description", "FDR"], ["BP (GO)"], ["GO:0051694", "Pointed-end actin filament capping", "0.0067", "GO:1990748", "Cellular detoxification", "3.60E-14", "GO:0002576", "Platelet degranulation", "6.94E-22", "GO:0007601", "Visual perception", "5.15E-07"], ["GO:0031032", "Actomyosin structure organization", "0.0067", "GO:0098869", "Cellular oxidant detoxification", "3.53E-12", "GO:0010466", "Negative regulation of peptidase activity", "7.33E-06", "GO:0051260", "Protein homooligomerization", "0.00011"], ["GO:0030036", "Actin cytoskeleton organization", "0.0135", "GO:0006749", "Glutathione metabolic process", "9.98E-09", "GO:0030162", "Regulation of proteolysis", "4.12E-05", "GO:0003008", "System process", "0.00013"], ["GO:0016338", "Calcium-independent cell-cell adhesion via plasma membrane cell-adhesion molecules", "0.0135", "GO:0006979", "Response To Oxidative Stress", "3.25E-08", "GO:0010951", "Negative regulation of endopeptidase activity", "0.00021", "GO:0050877", "Nervous system process", "0.00018"], ["GO:0007015", "Actin filament organization", "0.0172", "GO:0034599", "Cellular response to oxidative stress", "9.65E-08", "GO:0051336", "Regulation of hydrolase activity", "0.00059", "GO:0032387", "Negative regulation of intracellular transport", "0.00051"], ["MF (GO)"], ["GO:0005523", "Tropomyosin binding", "0.0027", "GO:0016209", "Antioxidant activity", "7.12E-13", "GO:0004866", "Endopeptidase inhibitor activity", "8.89E-05", "GO:0005212", "Structural constituent of eye lens", "1.02E-19"], ["GO:0008092", "Cytoskeletal protein binding", "0.0426", "GO:0016491", "Oxidoreductase activity", "2.24E-08", "GO:0030234", "Enzyme regulator activity", "0.0011", "GO:0051082", "Unfolded protein binding", "0.00069"], ["GO:0005515", "Protein binding", "0.0426", "GO:0004784", "Superoxide dismutase activity", "2.19E-07", "GO:0004867", "Serine-type endopeptidase inhibitor activity", "0.0087", "GO:0042802", "Identical protein binding", "0.0031"], ["—", "—", "—", "GO:0003824", "Catalytic Activity", "1.87E-05", "GO:0002020", "Protease binding", "0.0137", "GO:0001540", "Amyloid-beta binding", "0.0074"], ["—", "—", "—", "GO:0043295", "Glutathione binding", "0.00033", "GO:0008201", "Heparin binding", "0.0173", "—", "—", "—"], ["CC (GO)"], ["GO:0043296", "Apical junction complex", "0.00015", "GO:0031970", "Organelle envelope lumen", "0.0016", "GO:0031089", "Platelet dense granule lumen", "6.28E-32", "—", "—", "—"], ["GO:0005911", "Cell-cell junction", "0.00015", "GO:1904813", "Ficolin-1-rich granule Lumen", "0.0472", "GO:0005576", "Extracellular region", "7.36E-10", "—", "—", "—"], ["GO:0005923", "Bicellular tight junction", "0.0023", "GO:0044444", "Cytoplasmic part", "0.0472", "GO:0044421", "Extracellular region part", "7.40E-06", "—", "—", "—"], ["GO:0044430", "Cytoskeletal part", "0.0024", "GO:0044429", "Mitochondrial part", "0.0472", "GO:0005615", "Extracellular space", "4.37E-05", "—", "—", "—"], ["GO:0019897", "Extrinsic component of plasma membrane", "0.0024", "GO:0044421", "Extracellular region part", "0.0472", "GO:0031012", "Extracellular matrix", "0.0012", "—", "—", "—"], ["KEGG"], ["hsa04530", "Tight junction", "0.0018", "hsa00480", "Glutathione metabolism", "1.92E-09", "—", "—", "—", "hsa04141", "Protein processing in endoplasmic reticulum", "0.0216"], ["hsa05152", "Tuberculosis", "0.0265", "hsa04213", "Longevity regulating pathway-multiple species", "7.82E-05", "—", "—", "—", "—", "—", "—"], ["hsa04145", "Phagosome", "0.0265", "hsa04146", "Peroxisome", "0.00012", "—", "—", "—", "—", "—", "—"], ["—", "—", "—", "hsa05418", "Fluid shear stress and atherosclerosis", "0.00038", "—", "—", "—", "—", "—", "—"], ["—", "—", "—", "hsa05014", "Amyotrophic lateral sclerosis", "0.0022", "—", "—", "—", "—", "—", "—"]], "row_count": 26, "column_count": 12, "numeric_cells": 123, "header_rows": 2, "locator": "section[19]/table-wrap[1]#T4"}}, {"id": "asset:table:pmid:32292720:6", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:66d9922e67f97994348e7bed128832476525112b36424043d337b4c8f2b5790b", "bytes": 969, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[21]/table-wrap[1]#T5", "version": null, "note": "Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.", "structure": {"pmcid": "PMC7118735", "section_index": 21, "section_title": "Immunohistochemistry From the Human Protein Atlas", "row_count": 12, "column_count": 8}, "table": {"label": "Table 5", "caption": "Comparison of immunohistochemistry expression level between normal bladder and HGBC by Fisher's Exact test from The Human Protein Atlas.", "rows": [["Gene name", "", "N", "Immunohistochemistry expression level", "P-value"], ["", "", "", "Negative (–)", "Weakly positive (+)", "Positive (++)", "Strongly positive (+++)", ""], ["GPX3", "Normal bladder tissue", "2", "0", "2", "0", "0", "0.016"], ["", "HGBC tissue", "8", "7", "1", "0", "0", ""], ["ECM1", "Normal bladder tissue", "2", "0", "2", "0", "0", "0.001"], ["", "HGBC tissue", "9", "9", "0", "0", "0", ""], ["CRYAB", "Normal bladder tissue", "5", "5", "0", "0", "0", "0.439"], ["", "HGBC tissue", "9", "8", "0", "0", "1", ""], ["CGNL1", "Normal bladder tissue", "3", "3", "0", "0", "0", "0.569"], ["", "HGBC tissue", "10", "9", "1", "0", "0", ""], ["CRNN", "Normal bladder tissue", "4", "2", "2", "0", "0", "0.477"], ["", "HGBC tissue", "7", "5", "2", "0", "0", ""]], "row_count": 12, "column_count": 8, "numeric_cells": 55, "header_rows": 2, "locator": "section[21]/table-wrap[1]#T5"}}, {"id": "asset:table:pmid:32292720:7", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:e668cbfde5e5b30b786f3c1a12a13135e8a8245fd1d4951a13664228f40d3bda", "bytes": 766, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[22]/table-wrap[1]#T6", "version": null, "note": "Characteristics of enrolled participants from Tianjin validation cohort.", "structure": {"pmcid": "PMC7118735", "section_index": 22, "section_title": "Expression of GPX3, ECM1, CRYAB, CGNL1, and CRNN in Tianjin Validation Cohort", "row_count": 15, "column_count": 5}, "table": {"label": "Table 6", "caption": "Characteristics of enrolled participants from Tianjin validation cohort.", "rows": [["", "BC patients (n = 30)", "Controls (n = 30)", "chi-square", "P-value"], ["Age (years)"], ["≤60", "14 (46.67%)", "12 (40.00%)", "0.271", "0.602"], [">60", "16 (53.33%)", "18 (60.00%)", "", ""], ["Gender"], ["Male", "13 (43.33%)", "16 (53.33%)", "0.601", "0.438"], ["Female", "17 (56.67%)", "14 (46.67%)", "", ""], ["UICC stage"], ["Stage I", "7 (23.33%)", "", "", ""], ["Stage II", "8 (26.67%)", "", "", ""], ["Stage III", "9 (30.00%)", "", "", ""], ["Stage IV", "6 (20.00%)", "", "", ""], ["Histological grade"], ["Low grade", "13 (43.33%)", "", "", ""], ["High grade", "17 (56.67%)", "", "", ""]], "row_count": 15, "column_count": 5, "numeric_cells": 22, "header_rows": 1, "locator": "section[22]/table-wrap[1]#T6"}}], "gaps": ["asset:data:geo:GSE68020 not downloaded", "asset:data:geo:GSE68020 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "To identify DEGs in GSE68020 and TCGA BLCA datasets between BC patients and non-tumor healthy controls, we utilized limma R package (12)."}}, {"id": "method-2", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}, {"id": "method-3", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Cox regression"}}, {"id": "method-4", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": 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