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pmid:34205690

A Comprehensive Bioinformatics Analysis of Notch Pathways in Bladder Cancer.

Chuan Zhang · Mandy Berndt-Paetz · Jochen Neuhaus

Cancers · 2021 doi:10.3390/cancers13123089

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:34205690
kind
science-record
content_hash
sha256:13dba7aec528ad1411613ecfc83b7ca02c30ce7955d038643d99817c4422668a
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:41Z
updated_at
2026-11-01T22:46:59Z
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paper object · 10 fields
state
complete
title
A Comprehensive Bioinformatics Analysis of Notch Pathways in Bladder Cancer.
doi
10.3390/cancers13123089
pmid
34205690
authors array · 3 items
[0]
Chuan Zhang
[1]
Mandy Berndt-Paetz
[2]
Jochen Neuhaus
journal
Cancers
year
2021
abstract
BACKGROUND: A hallmark of Notch signaling is its variable role in tumor biology, ranging from tumor-suppressive to oncogenic effects. Until now, the mechanisms and functions of Notch pathways in bladder cancer (BCa) are still unclear. METHODS: We used publicly available data from the GTEx and TCGA-BLCA databases to explore the role of the canonical Notch pathways in BCa on the basis of the RNA expression levels of Notch receptors, ligands, and downstream genes. For statistical analyses of cancer and non-cancerous samples, we used R software packages and public databases/webservers. RESULTS: We found differential expression between control and BCa samples for all Notch receptors (NOTCH1, 2, 3, 4), the delta-like Notch ligands (DLL1, 3, 4), and the typical downstream gene hairy and enhancer of split 1 (HES1). NOTCH2/3 and DLL4 can significantly differentiate non-cancerous samples from cancers and were broadly altered in subgroups. High expression levels of NOTCH2/3 receptors correlated with worse overall survival (OS) and shorter disease-free survival (DFS). However, at long-term (>8 years) follow-up, NOTCH2 expression was associated with a better OS and DFS. Furthermore, the cases with the high levels of DLL4 were associated with worse OS but improved DFS. Pathway network analysis revealed that NOTCH2/3 in particular correlated with cell cycle, epithelial-mesenchymal transition (EMT), numbers of lymphocyte subtypes, and modulation of the immune system. CONCLUSIONS: NOTCH2/3 and DLL4 are potential drivers of Notch signaling in BCa, indicating that Notch and associated pathways play an essential role in the progression and prognosis of BCa through directly modulating immune cells or through interaction with cell cycle and EMT.
claims array · 2 items
[0] object · 6 fields
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Univariate analysis was performed using ANOVA, t-test, Wilcoxon test, Tukey’s HSD, and permutation tests.
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methodological
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null
evidence array · 1 item
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source:pmid:34205690
locator
sections[9] "2.7. Other Statistical Analyses" paragraph 2
quote
Univariate analysis was performed using ANOVA, t-test, Wilcoxon test, Tukey’s HSD, and permutation tests.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The data presented in this study are openly available in the Cancer Genome Atlas Program (TCGA), the Genotype-Tissue Expression (GTEx), and the Human Protein Atlas (HPA). Furthermore, the other web servers provide easy access to publicly available cancer OMICS data (TCGA, GTEx, et al.) and allow users to identify biomarkers or to perform in silico validation of potential genes, including GEPIA, GeneMANIA, Oncomine, GSCALite, UALCAN, and TISIDB for analyzing RNA sequencing expression and other data projects via a standard processing pipeline, and following the guidelines in the Data Use Certification Agreement.
kind
methodological
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null
evidence array · 1 item
[0] object · 3 fields
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sections[49] "Data Availability Statement" paragraph 2
quote
The data presented in this study are openly available in the Cancer Genome Atlas Program (TCGA), the Genotype-Tissue Expression (GTEx), and the Human Protein Atlas (HPA). Furthermore, the other web servers provide easy access to publicly available cancer OMICS data (TCGA, GTEx, et al.) and allow users to identify biomarkers or to perform in silico validation of potential genes, including GEPIA, GeneMANIA, Oncomine, GSCALite, UALCAN, and TISIDB for analyzing RNA sequencing expression and other data projects via a standard processing pipeline, and following the guidelines in the Data Use Certification Agreement.
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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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10.3390/cancers13123089
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Demographics and tumor characteristics of patients with BCa in the present study in terms of TCGA-BLCA.
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pmcid
PMC8235546
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10
section_title
3. Results
row_count
42
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4
table object · 8 fields
label
Table 1
caption
Demographics and tumor characteristics of patients with BCa in the present study in terms of TCGA-BLCA.
rows array · 42 items
[0] array · 4 items
[0]
Patient Characteristics
[1]
Classification
[2]
Number of Patients
[3]
Percent (%)
[1] array · 4 items
[0]
Age (years), median (IQR)
[1]
69 (34–90)
[2]
406
[3]
100
[2] array · 4 items
[0]
Gender
[1]
Male
[2]
299
[3]
73.65
[3] array · 4 items
[0]
[1]
Female
[2]
107
[3]
26.35
[4] array · 4 items
[0]
Race
[1]
Asian
[2]
43
[3]
10.59
[5] array · 4 items
[0]
[1]
Caucasian (White)
[2]
323
[3]
79.56
[6] array · 4 items
[0]
[1]
Black African American
[2]
23
[3]
5.67
[7] array · 4 items
[0]
[1]
Unknown
[2]
17
[3]
4.19
[8] array · 4 items
[0]
Family cancer history
[1]
Yes
[2]
143
[3]
35.22
[9] array · 4 items
[0]
[1]
No
[2]
263
[3]
64.78
[10] array · 4 items
[0]
Histological subtype
[1]
Papillary
[2]
130
[3]
32.02
[11] array · 4 items
[0]
[1]
Non-papillary
[2]
271
[3]
66.75
[12] array · 4 items
[0]
[1]
Unknown
[2]
5
[3]
1.23
[13] array · 4 items
[0]
T stage
[1]
T0-1
[2]
4
[3]
0.99
[14] array · 4 items
[0]
[1]
T2-T2b
[2]
118
[3]
29.06
[15] array · 4 items
[0]
[1]
T3-T3b
[2]
193
[3]
47.54
[16] array · 4 items
[0]
[1]
T4-T4b
[2]
58
[3]
14.29
[17] array · 4 items
[0]
[1]
Tx
[2]
1
[3]
0.25
[18] array · 4 items
[0]
[1]
Unknown
[2]
32
[3]
7.88
[19] array · 4 items
[0]
Recurrence
[1]
Yes
[2]
141
[3]
34.73
[20] array · 4 items
[0]
[1]
No
[2]
177
[3]
43.60
[21] array · 4 items
[0]
[1]
Unknown
[2]
88
[3]
21.67
[22] array · 4 items
[0]
Lymphnode (N) stage
[1]
N0
[2]
236
[3]
58.13
[23] array · 4 items
[0]
[1]
N1
[2]
46
[3]
11.33
[24] array · 4 items
[0]
[1]
N2
[2]
75
[3]
18.47
[25] array · 4 items
[0]
[1]
N3
[2]
7
[3]
1.72
[26] array · 4 items
[0]
[1]
NX
[2]
36
[3]
8.87
[27] array · 4 items
[0]
[1]
Unknown
[2]
6
[3]
1.48
[28] array · 4 items
[0]
Metastatic (M) stage
[1]
M0
[2]
195
[3]
48.03
[29] array · 4 items
[0]
[1]
M1
[2]
11
[3]
2.71
[30] array · 4 items
[0]
[1]
MX
[2]
197
[3]
48.52
[31] array · 4 items
[0]
[1]
Unknown
[2]
3
[3]
0.74
[32] array · 4 items
[0]
Tumor stage
[1]
Stage I (T1, N0, M0)
[2]
2
[3]
0.49
[33] array · 4 items
[0]
[1]
Stage II (T2a, T2b, N0, M0)
[2]
129
[3]
31.77
[34] array · 4 items
[0]
[1]
Stage III (T1-4a, N0-3, M0)
[2]
140
[3]
34.48
[35] array · 4 items
[0]
[1]
Stage IV (T1-4b, N1-3, M0-1)
[2]
133
[3]
32.76
[36] array · 4 items
[0]
[1]
Unknown
[2]
2
[3]
0.49
[37] array · 4 items
[0]
Tumor grade
[1]
High grade
[2]
383
[3]
94.33
[38] array · 4 items
[0]
[1]
Low grade
[2]
20
[3]
4.93
[39] array · 4 items
[0]
[1]
Unknown
[2]
3
[3]
0.74
[40] array · 4 items
[0]
Overall status
[1]
Dead
[2]
179
[3]
44.09
[41] array · 4 items
[0]
[1]
Alive
[2]
227
[3]
55.91
locator
section[10]/table-wrap[1]#cancers-13-03089-t001
[2] object · 16 fields
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asset:table:pmid:34205690:2
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section[12]/table-wrap[1]#cancers-13-03089-t002
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null
note
Statistically significant difference of expression levels of target genes in subgroups (1).
structure object · 5 fields
pmcid
PMC8235546
section_index
12
section_title
3.1.1. Gene Expression of Notch Pathway-Related Genes in BCa and Controls
row_count
29
column_count
13
table object · 8 fields
label
Table 2
caption
Statistically significant difference of expression levels of target genes in subgroups (1).
rows array · 29 items
[0] array · 13 items
[0]
Target Genes
[1]
BCa vs. Control
[2]
p-Value
[3]
Tumor Stage
[4]
p-Value
[5]
Lymph Nodal Metastasis
[6]
p-Value
[7]
HistologicalSubtypes
[8]
p-Value
[9]
Race
[10]
p-Value
[11]
Gender
[12]
p-Value
[1] array · 13 items
[0]
NOTCH1
[1]
BCa (↓)
[2]
p = 6.83 × 10−7
[3]
[4]
[5]
C vs. N0 (↓)
[6]
p = 7.35 × 10−3
[7]
C vs. PT (↓)
[8]
p = 1.52 × 10−3
[9]
CAU vs. AFA (↑)
[10]
p = 1.04 × 10−2
[11]
[12]
[2] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N2 (↓)
[5]
p = 3.67 × 10−4
[6]
C vs. NPT (↓)
[7]
p = 1.46 × 10−4
[8]
[9]
[10]
[11]
[3] array · 13 items
[0]
NOTCH2
[1]
BCa (↓)
[2]
p = 9.46 × 10−9
[3]
S2 vs. S3 (↑)
[4]
p = 2.07 × 10−2
[5]
C vs. N0 (↓)
[6]
p = 1.00 × 10−7
[7]
C vs. PT (↓)
[8]
p = 6.00 × 10−5
[9]
CAU vs. ASI (↓)
[10]
p = 2.13 × 10−4
[11]
[12]
[4] array · 12 items
[0]
[1]
[2]
S2 vs. S4 (↑)
[3]
p = 2.81 × 10−2
[4]
C vs. N1 (↓)
[5]
p = 1.29 × 10−2
[6]
C vs. NPT (↓)
[7]
p < 0.000001
[8]
AFA vs. ASI (↓)
[9]
p = 1.00 × 10−7
[10]
[11]
[5] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N2 (↓)
[5]
p = 5.58 × 10−4
[6]
PT vs. NPT (↑)
[7]
p = 3.00 × 10−7
[8]
[9]
[10]
[11]
[6] array · 13 items
[0]
NOTCH3
[1]
BCa (↑)
[2]
p = 1.98 × 10−4
[3]
[4]
[5]
C vs. N0 (↑)
[6]
p = 2.20 × 10−3
[7]
C vs. PT (↑)
[8]
p = 3.44 × 10−4
[9]
[10]
[11]
[12]
[7] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N1 (↑)
[5]
p = 6.35 × 10−4
[6]
C vs. NPT (↑)
[7]
p = 2.41 × 10−3
[8]
[9]
[10]
[11]
[8] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N2 (↑)
[5]
p = 1.45 × 10−2
[6]
[7]
[8]
[9]
[10]
[11]
[9] array · 13 items
[0]
NOTCH4
[1]
BCa (↓)
[2]
p = 5.02 × 10−12
[3]
[4]
[5]
C vs. N0 (↓)
[6]
p < 0.000001
[7]
C vs. PT (↓)
[8]
p = 2.00 × 10−7
[9]
AFA vs. ASI (↑)
[10]
p = 2.59 × 10−3
[11]
[12]
[10] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N1 (↓)
[5]
p < 0.000001
[6]
C vs. NPT (↓)
[7]
p < 0.000001
[8]
[9]
[10]
[11]
[11] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N2 (↓)
[5]
p = 1.00 × 10−7
[6]
PT vs. NPT (↓)
[7]
p = 1.00 × 10−2
[8]
[9]
[10]
[11]
[12] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N3 (↓)
[5]
p = 7.17 × 10−4
[6]
[7]
[8]
[9]
[10]
[11]
[13] array · 13 items
[0]
JAG1
[1]
[2]
[3]
[4]
[5]
[6]
[7]
PT vs. NPT (↑)
[8]
p = 6.77 × 10−4
[9]
CAU vs. AFA (↑)
[10]
p = 2.93 × 10−3
[11]
[12]
[14] array · 12 items
[0]
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
AFA vs. ASI (↓)
[9]
p = 1.47 × 10−2
[10]
[11]
[15] array · 13 items
[0]
JAG2
[1]
[2]
[3]
S2 vs. S4 (↓)
[4]
p = 3.21 × 10−3
[5]
C vs. N2 (↓)
[6]
p = 1.06 × 10−2
[7]
[8]
[9]
CAU vs. AFA (↑)
[10]
p = 4.45 × 10−2
[11]
Male vs. Female (↑)
[12]
p = 3.20 × 10−4
[16] array · 13 items
[0]
DLL1
[1]
BCa (↓)
[2]
p = 4.67 × 10−8
[3]
[4]
[5]
C vs. N0 (↓)
[6]
p = 1.84 × 10−4
[7]
C vs. PT (↓)
[8]
p = 1.00 × 10−7
[9]
[10]
[11]
[12]
[17] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N1 (↓)
[5]
p = 2.13 × 10−4
[6]
C vs. NPT (↓)
[7]
p = 1.85 × 10−5
[8]
[9]
[10]
[11]
[18] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N2 (↓)
[5]
p = 5.00 × 10−7
[6]
PT vs. NPT (↑)
[7]
p = 4.45 × 10−2
[8]
[9]
[10]
[11]
[19] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N3 (↓)
[5]
p = 1.08 × 10−2
[6]
[7]
[8]
[9]
[10]
[11]
[20] array · 13 items
[0]
DLL3
[1]
BCa (↑)
[2]
p = 1.02 × 10−9
[3]
[4]
[5]
C vs. N0 (↑)
[6]
p = 3.00 × 10−7
[7]
C vs. PT (↑)
[8]
p = 9.51 × 10−5
[9]
[10]
[11]
[12]
[21] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N1 (↑)
[5]
p = 3.20 × 10−6
[6]
C vs. NPT (↑)
[7]
p < 0.000001
[8]
[9]
[10]
[11]
[22] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N2 (↑)
[5]
p = 3.80 × 10−6
[6]
PT vs. NPT (↑)
[7]
p = 2.26 × 10−2
[8]
[9]
[10]
Male vs. Female (↑)
[11]
p = 3.07 × 10−2
[23] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N3 (↑)
[5]
p = 2.36 × 10−3
[6]
[7]
[8]
[9]
[10]
[11]
[24] array · 13 items
[0]
DLL4
[1]
BCa (↓)
[2]
p = 6.36 × 10−5
[3]
[4]
[5]
C vs. N0 (↓)
[6]
p = 7.29 × 10−3
[7]
C vs. NPT (↓)
[8]
p = 3.63 × 10−5
[9]
CAU vs. ASI (↓)
[10]
p = 1.55 × 10−02
[11]
[12]
[25] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N1 (↓)
[5]
p = 2.19 × 10−3
[6]
PT vs. NPT (↓)
[7]
p = 6.46 × 10−3
[8]
AFA vs. ASI (↓)
[9]
p = 2.22 × 10−02
[10]
[11]
[26] array · 13 items
[0]
HES1
[1]
BCa (↑)
[2]
p = 2.61 × 10−5
[3]
[4]
[5]
C vs. N0 (↑)
[6]
p = 1.00 × 10−7
[7]
C vs. PT (↑)
[8]
p < 0.000001
[9]
CAU vs. ASI (↓)
[10]
p = 3.98 × 10−04
[11]
[12]
[27] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N1 (↑)
[5]
p = 3.63 × 10−3
[6]
C vs. NPT (↑)
[7]
p = 4.40 × 10−6
[8]
[9]
[10]
[11]
[28] array · 12 items
[0]
[1]
[2]
[3]
[4]
C vs. N2 (↑)
[5]
p = 2.25 × 10−5
[6]
PT vs. NPT (↓)
[7]
p = 5.05 × 10−3
[8]
[9]
[10]
[11]
locator
section[12]/table-wrap[1]#cancers-13-03089-t002
[3] object · 16 fields
id
asset:table:pmid:34205690:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:ae4e2ed4d9a3066c1dbe7a91196ea65ff56065706c478a482a170af9fe104de7
bytes
3166
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[17]/table-wrap[1]#cancers-13-03089-t003
version
null
note
Statistically significant differences of expression levels of target genes in subgroups (2).
structure object · 5 fields
pmcid
PMC8235546
section_index
17
section_title
3.1.6. Gene Expression in Molecular Subtypes
row_count
33
column_count
9
table object · 8 fields
label
Table 3
caption
Statistically significant differences of expression levels of target genes in subgroups (2).
rows array · 33 items
[0] array · 3 items
[0]
Target Genes
[1]
Molecular Subtypes
[2]
TP53 Mutation Status
[1] array · 9 items
[0]
[1]
C-TCGA vs. Subtypes
[2]
p-Value
[3]
BST vs. LT/LIT
[4]
p-Value
[5]
C-TCGA vs. TP53M/TP53WT
[6]
p-Value
[7]
TP53M vs. TP53WT
[8]
p-Value
[2] array · 9 items
[0]
NOTCH1
[1]
LT (↓)
[2]
p = 8.20 × 10−3
[3]
LT (↓)
[4]
p = 3.31 × 10−2
[5]
TP53M (↓)
[6]
p = 6.20 × 10−3
[7]
TP53WT (↑)
[8]
p = 3.91 × 10−7
[3] array · 9 items
[0]
[1]
[2]
[3]
LT (↓)
[4]
p = 6.16 × 10−4
[5]
[6]
[7]
[8]
[4] array · 9 items
[0]
NOTCH2
[1]
LT (↓)
[2]
p = 1.50 × 10−3
[3]
LT (↓)
[4]
p = 1.14 × 10−3
[5]
TP53M (↓)
[6]
p = 3.46 × 10−2
[7]
TP53WT (↓)
[8]
p = 4.34 × 10−2
[5] array · 9 items
[0]
[1]
LIT (↓)
[2]
p = 3.68 × 10−2
[3]
[4]
[5]
TP53WT (↓)
[6]
p = 1.17 × 10−2
[7]
[8]
[6] array · 9 items
[0]
[1]
LPT (↓)
[2]
p = 5.44 × 10−3
[3]
[4]
[5]
[6]
[7]
[8]
[7] array · 9 items
[0]
NOTCH3
[1]
BST (↑)
[2]
p = 5.69 × 10−5
[3]
LIT (↑)
[4]
p = 4.05 × 10−2
[5]
TP53M (↑)
[6]
p = 5.83 × 10−4
[7]
[8]
[8] array · 9 items
[0]
[1]
LT (↑)
[2]
p = 1.26 × 10−3
[3]
[4]
[5]
TP53WT (↑)
[6]
p = 2.22 × 10−5
[7]
[8]
[9] array · 9 items
[0]
[1]
LIT (↑)
[2]
p = 1.06 × 10−2
[3]
[4]
[5]
[6]
[7]
[8]
[10] array · 9 items
[0]
[1]
LPT (↑)
[2]
p = 8.22 × 10−5
[3]
[4]
[5]
[6]
[7]
[8]
[11] array · 9 items
[0]
NOTCH4
[1]
BST (↓)
[2]
p = 1.47 × 10−2
[3]
LIT (↑)
[4]
p = 9.78 × 10−3
[5]
TP53M (↓)
[6]
p = 3.02 × 10−2
[7]
TP53WT (↑)
[8]
p = 4.62 × 10−3
[12] array · 9 items
[0]
JAG1
[1]
BST (↑)
[2]
p = 1.10 × 10−6
[3]
LT (↓)
[4]
p = 9.77 × 10−5
[5]
TP53M (↑)
[6]
p = 3.95 × 10−2
[7]
[8]
[13] array · 9 items
[0]
[1]
[2]
[3]
LIT (↓)
[4]
p = 1.13 × 10−7
[5]
[6]
[7]
[8]
[14] array · 9 items
[0]
JAG2
[1]
NET (↑)
[2]
p = 2.09 × 10−2
[3]
LT (↓)
[4]
p = 5.25 × 10−12
[5]
TP53M (↑)
[6]
p = 1.32 × 10−3
[7]
[8]
[15] array · 9 items
[0]
[1]
BST (↑)
[2]
p = 4.76 × 10−8
[3]
LIT (↓)
[4]
p = 5.87 × 10−9
[5]
TP53WT (↑)
[6]
p = 3.98 × 10−4
[7]
[8]
[16] array · 9 items
[0]
[1]
LPT (↑)
[2]
p = 3.99 × 10−2
[3]
[4]
[5]
[6]
[7]
[8]
[17] array · 9 items
[0]
DLL1
[1]
LT (↓)
[2]
p = 3.06 × 10−3
[3]
LT (↓)
[4]
p = 1.44 × 10−4
[5]
[6]
[7]
TP53WT (↓)
[8]
p = 2.86 × 10−2
[18] array · 9 items
[0]
[1]
LIT (↓)
[2]
p = 5.54 × 10−3
[3]
LIT (↓)
[4]
p = 7.74 × 10−5
[5]
[6]
[7]
[8]
[19] array · 9 items
[0]
[1]
LPT (↓)
[2]
p = 1.31 × 10−3
[3]
[4]
[5]
[6]
[7]
[8]
[20] array · 9 items
[0]
DLL3
[1]
BST (↑)
[2]
p = 3.48 × 10−7
[3]
LIT (↓)
[4]
p = 1.96 × 10−3
[5]
TP53M (↑)
[6]
p = 1.00 × 10−2
[7]
[8]
[21] array · 9 items
[0]
[1]
LT (↑)
[2]
p = 4.68 × 10−2
[3]
[4]
[5]
TP53WT (↑)
[6]
p = 1.75 × 10−6
[7]
[8]
[22] array · 9 items
[0]
[1]
LIT (↑)
[2]
p = 9.80 × 10−3
[3]
[4]
[5]
[6]
[7]
[8]
[23] array · 9 items
[0]
[1]
LPT (↑)
[2]
p = 5.16 × 10−3
[3]
[4]
[5]
[6]
[7]
[8]
[24] array · 9 items
[0]
DLL4
[1]
[2]
[3]
LT (↑)
[4]
p = 1.77 × 10−2
[5]
[6]
[7]
TP53WT (↑)
[8]
p = 4.02 × 10−3
[25] array · 9 items
[0]
[1]
[2]
[3]
LIT (↑)
[4]
p = 4.46 × 10−3
[5]
[6]
[7]
[8]
[26] array · 9 items
[0]
HES1
[1]
LT (↑)
[2]
p = 3.51 × 10−3
[3]
LT (↑)
[4]
p = 3.97 × 10−5
[5]
TP53WT (↑)
[6]
p = 2.30 × 10−2
[7]
TP53WT (↑)
[8]
p = 2.11 × 10−2
[27] array · 9 items
[0]
[1]
LIT (↑)
[2]
p = 4.79 × 10−2
[3]
LIT (↑)
[4]
p = 2.18 × 10−3
[5]
[6]
[7]
[8]
[28] array · 9 items
[0]
[1]
LPT (↑)
[2]
p = 3.14 × 10−6
[3]
[4]
[5]
[6]
[7]
[8]
[29] array · 9 items
[0]
HEY1
[1]
NET (↑)
[2]
p = 4.46 × 10−2
[3]
LT (↑)
[4]
p = 2.20 × 10−2
[5]
TP53M (↑)
[6]
p = 1.16 × 10−3
[7]
[8]
[30] array · 9 items
[0]
[1]
BST (↑)
[2]
p = 5.74 × 10−3
[3]
[4]
[5]
TP53WT (↑)
[6]
p = 1.63 × 10−6
[7]
[8]
[31] array · 9 items
[0]
[1]
LT (↑)
[2]
p = 1.68 × 10−3
[3]
[4]
[5]
[6]
[7]
[8]
[32] array · 9 items
[0]
[1]
LIT (↑)
[2]
p = 1.50 × 10−2
[3]
[4]
[5]
[6]
[7]
[8]
locator
section[17]/table-wrap[1]#cancers-13-03089-t003
[4] object · 16 fields
id
asset:table:pmid:34205690:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:7167844ffc85754e135b8e3fdc860b07734456a444699116eb3bde94a28ba1c2
bytes
1038
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verified
reader
read_table
reader_status
available
identifier
section[24]/table-wrap[1]#cancers-13-03089-t004
version
null
note
Risk assessment of Notch components on OS.
structure object · 5 fields
pmcid
PMC8235546
section_index
24
section_title
3.3.1. Dependency of Overall Survival (OS) on the Expression Levels of Target Genes
row_count
13
column_count
8
table object · 8 fields
label
Table 4
caption
Risk assessment of Notch components on OS.
rows array · 13 items
[0] array · 6 items
[0]
[1]
Univariate Test
[2]
[3]
[4]
Multivariate Test
[5]
[1] array · 8 items
[0]
Gene
[1]
HR
[2]
CI95
[3]
p-Value
[4]
Gene
[5]
HR
[6]
CI95
[7]
p-Value
[2] array · 8 items
[0]
NOTCH1
[1]
1.21
[2]
0.9–1.63
[3]
0.208
[4]
[5]
[6]
[7]
[3] array · 8 items
[0]
NOTCH2
[1]
1.44
[2]
1.06–1.96
[3]
0.018 *
[4]
NOTCH2
[5]
1.27
[6]
0.92–1.76
[7]
0.151
[4] array · 8 items
[0]
NOTCH3
[1]
1.6
[2]
1.2–2.15
[3]
0.002 **
[4]
NOTCH3
[5]
1.65
[6]
1.2–2.25
[7]
0.002 **
[5] array · 8 items
[0]
NOTCH4
[1]
1.35
[2]
0.85–2.15
[3]
0.204
[4]
[5]
[6]
[7]
[6] array · 8 items
[0]
JAG1
[1]
4.26
[2]
1.98–9.18
[3]
0
[4]
JAG1
[5]
3.69
[6]
1.67–8.15
[7]
0.001 **
[7] array · 8 items
[0]
JAG2
[1]
1.25
[2]
0.88–1.77
[3]
0.221
[4]
[5]
[6]
[7]
[8] array · 8 items
[0]
DLL1
[1]
1.47
[2]
0.87–2.5
[3]
0.154
[4]
[5]
[6]
[7]
[9] array · 8 items
[0]
DLL3
[1]
0.89
[2]
0.64–1.24
[3]
0.483
[4]
[5]
[6]
[7]
[10] array · 8 items
[0]
DLL4
[1]
1.53
[2]
1.11–2.1
[3]
0.009 **
[4]
DLL4
[5]
1.54
[6]
1.11–2.14
[7]
0.009 **
[11] array · 8 items
[0]
HES1
[1]
0.57
[2]
0.41–0.8
[3]
0.001 **
[4]
HES1
[5]
0.56
[6]
0.39–0.81
[7]
0.002 **
[12] array · 8 items
[0]
HEY1
[1]
2.26
[2]
1–5.11
[3]
0.045 *
[4]
HEY1
[5]
1.63
[6]
0.7–3.77
[7]
0.255
locator
section[24]/table-wrap[1]#cancers-13-03089-t004
[5] object · 16 fields
id
asset:table:pmid:34205690:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:58945db4b1ae3144c43fa25b29629ff7ce92d75478ba05fe02e5a63c40d38e25
bytes
1063
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open
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verified
reader
read_table
reader_status
available
identifier
section[25]/table-wrap[1]#cancers-13-03089-t005
version
null
note
Risk assessment of Notch components on DFS.
structure object · 5 fields
pmcid
PMC8235546
section_index
25
section_title
3.3.2. Dependency of Disease-Free Survival (DFS) on the Expression Levels of Target Genes
row_count
13
column_count
8
table object · 8 fields
label
Table 5
caption
Risk assessment of Notch components on DFS.
rows array · 13 items
[0] array · 6 items
[0]
[1]
Univariate Test
[2]
[3]
[4]
Multivariate Test
[5]
[1] array · 8 items
[0]
Gene
[1]
HR
[2]
CI95
[3]
p-Value
[4]
Gene
[5]
HR
[6]
CI95
[7]
p-Value
[2] array · 8 items
[0]
NOTCH1
[1]
1.18
[2]
0.85–1.65
[3]
0.322
[4]
[5]
[6]
[7]
[3] array · 8 items
[0]
NOTCH2
[1]
1.53
[2]
1.09–2.16
[3]
0.014 *
[4]
NOTCH2
[5]
1.3
[6]
0.91–1.85
[7]
0.152
[4] array · 8 items
[0]
NOTCH3
[1]
1.46
[2]
1.05–2.04
[3]
0.026 *
[4]
NOTCH3
[5]
1.52
[6]
1.08–2.15
[7]
0.016 *
[5] array · 8 items
[0]
NOTCH4
[1]
0.88
[2]
0.63–1.23
[3]
0.447
[4]
[5]
[6]
[7]
[6] array · 8 items
[0]
JAG1
[1]
1.9
[2]
1.02–3.52
[3]
0.042 *
[4]
JAG1
[5]
1.42
[6]
0.75–2.68
[7]
0.28
[7] array · 8 items
[0]
JAG2
[1]
1.66
[2]
1.07–2.58
[3]
0.023 *
[4]
JAG2
[5]
1.63
[6]
1.05–2.55
[7]
0.03 *
[8] array · 8 items
[0]
DLL1
[1]
1.12
[2]
0.81–1.56
[3]
0.494
[4]
[5]
[6]
[7]
[9] array · 8 items
[0]
DLL3
[1]
1.19
[2]
0.85–1.67
[3]
0.3
[4]
[5]
[6]
[7]
[10] array · 8 items
[0]
DLL4
[1]
0.65
[2]
0.44–0.95
[3]
0.028 *
[4]
DLL4
[5]
0.68
[6]
0.46–1.01
[7]
0.056
[11] array · 8 items
[0]
HES1
[1]
0.56
[2]
0.39–0.82
[3]
0.003 **
[4]
HES1
[5]
0.59
[6]
0.4–0.88
[7]
0.01 *
[12] array · 8 items
[0]
HEY1
[1]
1.97
[2]
1–3.87
[3]
0.046 *
[4]
HEY1
[5]
1.67
[6]
0.84–3.34
[7]
0.146
locator
section[25]/table-wrap[1]#cancers-13-03089-t005
[6] object · 16 fields
id
asset:table:pmid:34205690:6
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:c559fbbecd36873c68ce772b0b37527ecef87df6a0924e26ed5eb4a16b9f7842
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2461
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reader
read_table
reader_status
available
identifier
section[36]/table-wrap[1]#cancers-13-03089-t006
version
null
note
The dual role of Notch receptors and ligands in BCa.
structure object · 5 fields
pmcid
PMC8235546
section_index
36
section_title
4.1. NOTCH2/3 and DLL4 Are Potential Drivers of Notch Signaling in BCa
row_count
19
column_count
3
table object · 8 fields
label
Table 6
caption
The dual role of Notch receptors and ligands in BCa.
rows array · 19 items
[0] array · 3 items
[0]
Name
[1]
Role in BCa
[2]
Description
[1] array · 3 items
[0]
NOTCH1
[1]
Suppression *(↓)
[2]
Activated NOTCH1 suppressed BCa in vitro and in vivo by reducing ERK1 and ERK2(ERK1/2) [8]. Suppression of NOTCH1 may be advantageous for tumor progression [6].
[2] array · 2 items
[0]
Oncogene (↑)
[1]
NOTCH1 knockdown led to cancer cell growth and significantly inhibited growth and proliferation [72].
[3] array · 3 items
[0]
NOTCH2
[1]
Suppression *(↓)
[2]
NOTCH2 was significantly downregulated in BCa [6,8]. Inactivation of NOTCH2 favors the process of EMT and promotes BCa progression [7].
[4] array · 2 items
[0]
Oncogene (↑)
[1]
High rate of NOTCH2 copy number gain and over-expression in BCa, and the activation of NOTCH2 promotes metastasis, resulting in poor survival [5].
[5] array · 3 items
[0]
NOTCH3
[1]
Suppression (↓)
[2]
Deletion of the intracellular domain of NOTCH3 leads to negative function in BCa, i.e., turning it into potential tumor-suppressive gene [8].
[6] array · 2 items
[0]
Oncogene*(↑)
[1]
Significantly upregulated NOTCH3 enhanced the BCa growth and chemoresistance in urothelial carcinoma with worse survival [9].
[7] array · 3 items
[0]
NOTCH4
[1]
Suppression * (↓)
[2]
NOTCH4 was significantly downregulated in BCa, especially in the T1 stage of bladder tumor. However, in patients diagnosed with muscle-invasive bladder tumor (MIBC), high NOTCH4 expression correlated with poor survival and more vascular invasion [73].
[8] array · 2 items
[0]
Oncogene
[1]
NA
[9] array · 3 items
[0]
JAG1
[1]
Suppression (↓)
[2]
JAG1 significantly decreased in BCa and was associated with poor prognosis [74].
[10] array · 2 items
[0]
Oncogene (↑)
[1]
miR-489 directly suppressed JAG1 expression, inhibiting the proliferation and invasion of human bladder cancer cells [75].
[11] array · 3 items
[0]
JAG2
[1]
Suppression
[2]
NA
[12] array · 2 items
[0]
Oncogene (↑)
[1]
JAG2 was overexpressed in BCa and was significantly associated with the metastasis and recurrence [76].
[13] array · 3 items
[0]
DLL1
[1]
Suppression *(↓)
[2]
DLL1 was significantly decreased in BCa. Supposed to be a suppressive gene [6].
[14] array · 2 items
[0]
Oncogene
[1]
NA
[15] array · 3 items
[0]
DLL3
[1]
Suppression
[2]
NA
[16] array · 2 items
[0]
Oncogene * (↑)
[1]
DLL3 was significantly upregulated in small cell components correlated with worse clinical outcomes in small cell bladder cancer (SCBC) [77].
[17] array · 3 items
[0]
DLL4
[1]
Suppression
[2]
NA
[18] array · 2 items
[0]
Oncogene (↑)
[1]
DLL4 was significantly upregulated in BCa, and the expression of DLL4 was found to be associated with vascular differentiation in BCa [78].
locator
section[36]/table-wrap[1]#cancers-13-03089-t006
[7] object · 16 fields
id
asset:table:pmid:34205690:7
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:c111a0a22795f380172ebf4ada6439c441aa0e9f3fc38cb11fcff65602905e42
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1940
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open
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verified
reader
read_table
reader_status
available
identifier
section[43]/table-wrap[1]#array1
version
null
note
null
structure object · 5 fields
pmcid
PMC8235546
section_index
43
section_title
Abbreviations
row_count
47
column_count
2
table object · 8 fields
label
null
caption
null
rows array · 47 items
[0] array · 2 items
[0]
AFA
[1]
Black or African American
[1] array · 2 items
[0]
ASI
[1]
Asian
[2] array · 2 items
[0]
AUC
[1]
Accuracy
[3] array · 2 items
[0]
BCa
[1]
Bladder cancer
[4] array · 2 items
[0]
BP
[1]
Biological process
[5] array · 2 items
[0]
BST
[1]
Basal squamous tumors
[6] array · 2 items
[0]
CAU
[1]
Caucasian
[7] array · 2 items
[0]
DC
[1]
Dendritic cell
[8] array · 2 items
[0]
DFS
[1]
Disease-free survival
[9] array · 2 items
[0]
DLL
[1]
Delta-like canonical Notch ligand
[10] array · 2 items
[0]
EMT
[1]
Epithelial to mesenchymal transition
[11] array · 2 items
[0]
ER
[1]
Hormone estrogen receptor
[12] array · 2 items
[0]
FC
[1]
Fold change
[13] array · 2 items
[0]
FDR
[1]
False discovery rate
[14] array · 2 items
[0]
FWER
[1]
Familywise error rate
[15] array · 2 items
[0]
GEPIA
[1]
Gene expression profiling interactive analysis
[16] array · 2 items
[0]
GGI
[1]
Gene‒gene interaction
[17] array · 2 items
[0]
GO
[1]
Gene ontology
[18] array · 2 items
[0]
GSEA
[1]
Gene set enrichment analysis
[19] array · 2 items
[0]
GTEx
[1]
Gene expression omnibus
[20] array · 2 items
[0]
HPA
[1]
Human protein atlas
[21] array · 2 items
[0]
HR
[1]
Hormone androgen receptor
[22] array · 2 items
[0]
IHC
[1]
Immunochemistry
[23] array · 2 items
[0]
JAG
[1]
Serrate-like jagged canonical Notch ligand
[24] array · 2 items
[0]
KEGG
[1]
Kyoto Encyclopedia of Genes and Genomes
[25] array · 2 items
[0]
LIT
[1]
Luminal-infiltrated tumors
[26] array · 2 items
[0]
LPT
[1]
Luminal-papillary tumors
[27] array · 2 items
[0]
LT
[1]
Luminal tumors
[28] array · 2 items
[0]
MIBC
[1]
Muscle-invasive bladder cancer
[29] array · 2 items
[0]
NCBI
[1]
National Center for Biotechnology Information
[30] array · 2 items
[0]
NES
[1]
Normalized enrichment score
[31] array · 2 items
[0]
NET
[1]
Neuronal tumors
[32] array · 2 items
[0]
NMIBC
[1]
Non-muscle-invasive bladder cancer
[33] array · 2 items
[0]
NOTCH
[1]
Neurogenic locus Notch homologue
[34] array · 2 items
[0]
NPT
[1]
Non-papillary tumor
[35] array · 2 items
[0]
OS
[1]
Overall survival
[36] array · 2 items
[0]
OPLA-DA
[1]
Orthogonal partial least squares discriminant analysis
[37] array · 2 items
[0]
PT
[1]
Papillary tumor
[38] array · 2 items
[0]
RTK
[1]
Receptor tyrosine kinase signaling
[39] array · 2 items
[0]
RAS/MAPK
[1]
Ras/mitogen-activated protein kinase pathway
[40] array · 2 items
[0]
PCA
[1]
Principal component analysis
[41] array · 2 items
[0]
ROC
[1]
Receiver operating characteristic
[42] array · 2 items
[0]
SCBC
[1]
Small cell bladder cancer
[43] array · 2 items
[0]
TCGA-BLCA
[1]
Cancer genome atlas bladder cancer
[44] array · 2 items
[0]
TSC-mTOR
[1]
Tuberous sclerosis complex–mammalian target of rapamycin (TSC-mTOR) pathway
[45] array · 2 items
[0]
TISIDB
[1]
Tumor and immune system interaction database
[46] array · 2 items
[0]
TPM
[1]
Transcripts per million
locator
section[43]/table-wrap[1]#array1
gaps array · 0 items
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
1
band
verbatim
quote
Univariate analysis was performed using ANOVA, t-test, Wilcoxon test, Tukey’s HSD, and permutation tests.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
[2] object · 10 fields
id
method-3
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
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edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
[3] object · 10 fields
id
method-4
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diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[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 analysis
targets array · 0 items
gaps array · 1 item
[0]
method.group_comparison_wilcoxon
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
blocked
tier
R4
blocked_on
data:accession_absent
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
false
required_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon.
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
R4
reachable
false
accessions array · 0 items
resolved_accessions array · 0 items
statements array · 1 item
[0]
The data presented in this study are openly available in the Cancer Genome Atlas Program (TCGA), the Genotype-Tissue Expression (GTEx), and the Human Protein Atlas (HPA). Furthermore, the other web servers provide easy access to publicly available cancer OMICS data (TCGA, GTEx, et al.) and allow users to identify biomarkers or to perform in silico validation of potential genes, including GEPIA, GeneMANIA, Oncomine, GSCALite, UALCAN, and TISIDB for analyzing RNA sequencing expression and other data projects via a standard processing pipeline, and following the guidelines in the Data Use Certification Agreement.
basis
The paper names no accession to its source data, so the data has to come from the authors.
can_run object · 3 fields
dsl_operations array · 0 items
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source:pmid:34205690
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asset:table:pmid:34205690:1
[2]
asset:table:pmid:34205690:2
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asset:table:pmid:34205690:3
[4]
asset:table:pmid:34205690:4
[5]
asset:table:pmid:34205690:5
[6]
asset:table:pmid:34205690:6
[7]
asset:table:pmid:34205690:7
steps array · 0 items
must_build object · 5 fields
dsl_operations array · 1 item
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operation
group_comparison_wilcoxon
priority
null
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:None
gaps array · 1 item
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data:accession_absent
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
2026-10-31T19:39:32Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
79565
completion_tokens
3530
cached_tokens
784
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:34205690
type
paper
label
pmid:34205690
[1] object · 3 fields
id
source:pmid:34205690
type
manuscript
label
PMID 34205690 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
activities array · 3 items
[0] object · 4 fields
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activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
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paper
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pmid:34205690
[1] object · 3 fields
id
source:pmid:34205690
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manuscript
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PMID 34205690 full text
[2] object · 3 fields
id
data:geo:None
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dataset
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GEO None
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agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34205690
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extraction
used array · 1 item
[0]
source:pmid:34205690
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-None
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accession_resolution
used array · 1 item
[0]
data:geo:None
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agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
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Corpus assay engine
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agent:minimax-reader
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MiniMax literature reader
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
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lineage object · 4 fields
parent_id
pmid:34205690
parent_hash
sha256:db48337cb0afade33ceaa59488182ab85816990f6e989de569a191898b41ff92
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assays array · 2 items
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role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
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assay_lexicon
99e1195c7d6f
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evidence array · 4 items
[0]
ins in Normal Bladder Tissue and BCa Samples Immunohistochemistry (IHC) protein expression data from the Human
[1]
) [58], transcripts per million (TPM). (iii) IHC image credit: Human Protein Atlas (https://w
[2]
as.org/, accessed on 13 December 2020) [62]; IHC staining of NOTCH3 (A3) and DLL4 (B3) in nor
[3]
get genes is summarized in Figure S9. 3.5.3. IHC of Notch-Related Proteins in Normal Bladder
order_basis
paper_text_order:7902
id
assay:1
[1] object · 11 fields
role
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group_comparison
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f2132e96ae6c7a4e
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f2132e96ae6c7a4e
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[0]
Univariate analysis was performed using ANOVA, t-test, Wilcoxon test, Tukey’s HSD, and permutation tests.
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34205690", "kind": "science-record", "revision": 8, "content_hash": "sha256:13dba7aec528ad1411613ecfc83b7ca02c30ce7955d038643d99817c4422668a", "created_at": "2026-11-01T15:41:41Z", "updated_at": "2026-11-01T22:46:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A Comprehensive Bioinformatics Analysis of Notch Pathways in Bladder Cancer.", "doi": "10.3390/cancers13123089", "pmid": "34205690", "authors": ["Chuan Zhang", "Mandy Berndt-Paetz", "Jochen Neuhaus"], "journal": "Cancers", "year": 2021, "abstract": "BACKGROUND: A hallmark of Notch signaling is its variable role in tumor biology, ranging from tumor-suppressive to oncogenic effects. Until now, the mechanisms and functions of Notch pathways in bladder cancer (BCa) are still unclear.\nMETHODS: We used publicly available data from the GTEx and TCGA-BLCA databases to explore the role of the canonical Notch pathways in BCa on the basis of the RNA expression levels of Notch receptors, ligands, and downstream genes. For statistical analyses of cancer and non-cancerous samples, we used R software packages and public databases/webservers.\nRESULTS: We found differential expression between control and BCa samples for all Notch receptors (NOTCH1, 2, 3, 4), the delta-like Notch ligands (DLL1, 3, 4), and the typical downstream gene hairy and enhancer of split 1 (HES1). NOTCH2/3 and DLL4 can significantly differentiate non-cancerous samples from cancers and were broadly altered in subgroups. High expression levels of NOTCH2/3 receptors correlated with worse overall survival (OS) and shorter disease-free survival (DFS). However, at long-term (>8 years) follow-up, NOTCH2 expression was associated with a better OS and DFS. Furthermore, the cases with the high levels of DLL4 were associated with worse OS but improved DFS. Pathway network analysis revealed that NOTCH2/3 in particular correlated with cell cycle, epithelial-mesenchymal transition (EMT), numbers of lymphocyte subtypes, and modulation of the immune system.\nCONCLUSIONS: NOTCH2/3 and DLL4 are potential drivers of Notch signaling in BCa, indicating that Notch and associated pathways play an essential role in the progression and prognosis of BCa through directly modulating immune cells or through interaction with cell cycle and EMT.", "claims": [{"id": "claim-method", "statement": "Univariate analysis was performed using ANOVA, t-test, Wilcoxon test, Tukey’s HSD, and permutation tests.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34205690", "locator": "sections[9] \"2.7. Other Statistical Analyses\" paragraph 2", "quote": "Univariate analysis was performed using ANOVA, t-test, Wilcoxon test, Tukey’s HSD, and permutation tests."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data presented in this study are openly available in the Cancer Genome Atlas Program (TCGA), the Genotype-Tissue Expression (GTEx), and the Human Protein Atlas (HPA). Furthermore, the other web servers provide easy access to publicly available cancer OMICS data (TCGA, GTEx, et al.) and allow users to identify biomarkers or to perform in silico validation of potential genes, including GEPIA, GeneMANIA, Oncomine, GSCALite, UALCAN, and TISIDB for analyzing RNA sequencing expression and other data projects via a standard processing pipeline, and following the guidelines in the Data Use Certification Agreement.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34205690", "locator": "sections[49] \"Data Availability Statement\" paragraph 2", "quote": "The data presented in this study are openly available in the Cancer Genome Atlas Program (TCGA), the Genotype-Tissue Expression (GTEx), and the Human Protein Atlas (HPA). Furthermore, the other web servers provide easy access to publicly available cancer OMICS data (TCGA, GTEx, et al.) and allow users to identify biomarkers or to perform in silico validation of potential genes, including GEPIA, GeneMANIA, Oncomine, GSCALite, UALCAN, and TISIDB for analyzing RNA sequencing expression and other data projects via a standard processing pipeline, and following the guidelines in the Data Use Certification Agreement."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "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:34205690"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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Gene Expression of Notch Pathway-Related Genes in BCa and Controls", "row_count": 29, "column_count": 13}, "table": {"label": "Table 2", "caption": "Statistically significant difference of expression levels of target genes in subgroups (1).", "rows": [["Target Genes", "BCa vs. Control", "p-Value", "Tumor Stage", "p-Value", "Lymph Nodal Metastasis", "p-Value", "HistologicalSubtypes", "p-Value", "Race", "p-Value", "Gender", "p-Value"], ["NOTCH1", "BCa (↓)", "p = 6.83 × 10−7", "", "", "C vs. N0 (↓)", "p = 7.35 × 10−3", "C vs. PT (↓)", "p = 1.52 × 10−3", "CAU vs. AFA (↑)", "p = 1.04 × 10−2", "", ""], ["", "", "", "", "C vs. N2 (↓)", "p = 3.67 × 10−4", "C vs. NPT (↓)", "p = 1.46 × 10−4", "", "", "", ""], ["NOTCH2", "BCa (↓)", "p = 9.46 × 10−9", "S2 vs. S3 (↑)", "p = 2.07 × 10−2", "C vs. N0 (↓)", "p = 1.00 × 10−7", "C vs. PT (↓)", "p = 6.00 × 10−5", "CAU vs. ASI (↓)", "p = 2.13 × 10−4", "", ""], ["", "", "S2 vs. S4 (↑)", "p = 2.81 × 10−2", "C vs. N1 (↓)", "p = 1.29 × 10−2", "C vs. NPT (↓)", "p < 0.000001", "AFA vs. ASI (↓)", "p = 1.00 × 10−7", "", ""], ["", "", "", "", "C vs. N2 (↓)", "p = 5.58 × 10−4", "PT vs. NPT (↑)", "p = 3.00 × 10−7", "", "", "", ""], ["NOTCH3", "BCa (↑)", "p = 1.98 × 10−4", "", "", "C vs. N0 (↑)", "p = 2.20 × 10−3", "C vs. PT (↑)", "p = 3.44 × 10−4", "", "", "", ""], ["", "", "", "", "C vs. N1 (↑)", "p = 6.35 × 10−4", "C vs. NPT (↑)", "p = 2.41 × 10−3", "", "", "", ""], ["", "", "", "", "C vs. N2 (↑)", "p = 1.45 × 10−2", "", "", "", "", "", ""], ["NOTCH4", "BCa (↓)", "p = 5.02 × 10−12", "", "", "C vs. N0 (↓)", "p < 0.000001", "C vs. PT (↓)", "p = 2.00 × 10−7", "AFA vs. ASI (↑)", "p = 2.59 × 10−3", "", ""], ["", "", "", "", "C vs. N1 (↓)", "p < 0.000001", "C vs. NPT (↓)", "p < 0.000001", "", "", "", ""], ["", "", "", "", "C vs. N2 (↓)", "p = 1.00 × 10−7", "PT vs. NPT (↓)", "p = 1.00 × 10−2", "", "", "", ""], ["", "", "", "", "C vs. N3 (↓)", "p = 7.17 × 10−4", "", "", "", "", "", ""], ["JAG1", "", "", "", "", "", "", "PT vs. NPT (↑)", "p = 6.77 × 10−4", "CAU vs. AFA (↑)", "p = 2.93 × 10−3", "", ""], ["", "", "", "", "", "", "", "", "AFA vs. ASI (↓)", "p = 1.47 × 10−2", "", ""], ["JAG2", "", "", "S2 vs. S4 (↓)", "p = 3.21 × 10−3", "C vs. N2 (↓)", "p = 1.06 × 10−2", "", "", "CAU vs. AFA (↑)", "p = 4.45 × 10−2", "Male vs. Female (↑)", "p = 3.20 × 10−4"], ["DLL1", "BCa (↓)", "p = 4.67 × 10−8", "", "", "C vs. N0 (↓)", "p = 1.84 × 10−4", "C vs. PT (↓)", "p = 1.00 × 10−7", "", "", "", ""], ["", "", "", "", "C vs. N1 (↓)", "p = 2.13 × 10−4", "C vs. NPT (↓)", "p = 1.85 × 10−5", "", "", "", ""], ["", "", "", "", "C vs. N2 (↓)", "p = 5.00 × 10−7", "PT vs. NPT (↑)", "p = 4.45 × 10−2", "", "", "", ""], ["", "", "", "", "C vs. N3 (↓)", "p = 1.08 × 10−2", "", "", "", "", "", ""], ["DLL3", "BCa (↑)", "p = 1.02 × 10−9", "", "", "C vs. N0 (↑)", "p = 3.00 × 10−7", "C vs. PT (↑)", "p = 9.51 × 10−5", "", "", "", ""], ["", "", "", "", "C vs. N1 (↑)", "p = 3.20 × 10−6", "C vs. NPT (↑)", "p < 0.000001", "", "", "", ""], ["", "", "", "", "C vs. N2 (↑)", "p = 3.80 × 10−6", "PT vs. NPT (↑)", "p = 2.26 × 10−2", "", "", "Male vs. Female (↑)", "p = 3.07 × 10−2"], ["", "", "", "", "C vs. N3 (↑)", "p = 2.36 × 10−3", "", "", "", "", "", ""], ["DLL4", "BCa (↓)", "p = 6.36 × 10−5", "", "", "C vs. N0 (↓)", "p = 7.29 × 10−3", "C vs. NPT (↓)", "p = 3.63 × 10−5", "CAU vs. ASI (↓)", "p = 1.55 × 10−02", "", ""], ["", "", "", "", "C vs. N1 (↓)", "p = 2.19 × 10−3", "PT vs. NPT (↓)", "p = 6.46 × 10−3", "AFA vs. ASI (↓)", "p = 2.22 × 10−02", "", ""], ["HES1", "BCa (↑)", "p = 2.61 × 10−5", "", "", "C vs. N0 (↑)", "p = 1.00 × 10−7", "C vs. PT (↑)", "p < 0.000001", "CAU vs. ASI (↓)", "p = 3.98 × 10−04", "", ""], ["", "", "", "", "C vs. N1 (↑)", "p = 3.63 × 10−3", "C vs. NPT (↑)", "p = 4.40 × 10−6", "", "", "", ""], ["", "", "", "", "C vs. N2 (↑)", "p = 2.25 × 10−5", "PT vs. NPT (↓)", "p = 5.05 × 10−3", "", "", "", ""]], "row_count": 29, "column_count": 13, "numeric_cells": 71, "header_rows": 1, "locator": "section[12]/table-wrap[1]#cancers-13-03089-t002"}}, {"id": "asset:table:pmid:34205690:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:ae4e2ed4d9a3066c1dbe7a91196ea65ff56065706c478a482a170af9fe104de7", "bytes": 3166, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[1]#cancers-13-03089-t003", "version": null, "note": "Statistically significant differences of expression levels of target genes in subgroups (2).", "structure": {"pmcid": "PMC8235546", "section_index": 17, "section_title": "3.1.6. Gene Expression in Molecular Subtypes", "row_count": 33, "column_count": 9}, "table": {"label": "Table 3", "caption": "Statistically significant differences of expression levels of target genes in subgroups (2).", "rows": [["Target Genes", "Molecular Subtypes", "TP53 Mutation Status"], ["", "C-TCGA vs. Subtypes", "p-Value", "BST vs. LT/LIT", "p-Value", "C-TCGA vs. TP53M/TP53WT", "p-Value", "TP53M vs. TP53WT", "p-Value"], ["NOTCH1", "LT (↓)", "p = 8.20 × 10−3", "LT (↓)", "p = 3.31 × 10−2", "TP53M (↓)", "p = 6.20 × 10−3", "TP53WT (↑)", "p = 3.91 × 10−7"], ["", "", "", "LT (↓)", "p = 6.16 × 10−4", "", "", "", ""], ["NOTCH2", "LT (↓)", "p = 1.50 × 10−3", "LT (↓)", "p = 1.14 × 10−3", "TP53M (↓)", "p = 3.46 × 10−2", "TP53WT (↓)", "p = 4.34 × 10−2"], ["", "LIT (↓)", "p = 3.68 × 10−2", "", "", "TP53WT (↓)", "p = 1.17 × 10−2", "", ""], ["", "LPT (↓)", "p = 5.44 × 10−3", "", "", "", "", "", ""], ["NOTCH3", "BST (↑)", "p = 5.69 × 10−5", "LIT (↑)", "p = 4.05 × 10−2", "TP53M (↑)", "p = 5.83 × 10−4", "", ""], ["", "LT (↑)", "p = 1.26 × 10−3", "", "", "TP53WT (↑)", "p = 2.22 × 10−5", "", ""], ["", "LIT (↑)", "p = 1.06 × 10−2", "", "", "", "", "", ""], ["", "LPT (↑)", "p = 8.22 × 10−5", "", "", "", "", "", ""], ["NOTCH4", "BST (↓)", "p = 1.47 × 10−2", "LIT (↑)", "p = 9.78 × 10−3", "TP53M (↓)", "p = 3.02 × 10−2", "TP53WT (↑)", "p = 4.62 × 10−3"], ["JAG1", "BST (↑)", "p = 1.10 × 10−6", "LT (↓)", "p = 9.77 × 10−5", "TP53M (↑)", "p = 3.95 × 10−2", "", ""], ["", "", "", "LIT (↓)", "p = 1.13 × 10−7", "", "", "", ""], ["JAG2", "NET (↑)", "p = 2.09 × 10−2", "LT (↓)", "p = 5.25 × 10−12", "TP53M (↑)", "p = 1.32 × 10−3", "", ""], ["", "BST (↑)", "p = 4.76 × 10−8", "LIT (↓)", "p = 5.87 × 10−9", "TP53WT (↑)", "p = 3.98 × 10−4", "", ""], ["", "LPT (↑)", "p = 3.99 × 10−2", "", "", "", "", "", ""], ["DLL1", "LT (↓)", "p = 3.06 × 10−3", "LT (↓)", "p = 1.44 × 10−4", "", "", "TP53WT (↓)", "p = 2.86 × 10−2"], ["", "LIT (↓)", "p = 5.54 × 10−3", "LIT (↓)", "p = 7.74 × 10−5", "", "", "", ""], ["", "LPT (↓)", "p = 1.31 × 10−3", "", "", "", "", "", ""], ["DLL3", "BST (↑)", "p = 3.48 × 10−7", "LIT (↓)", "p = 1.96 × 10−3", "TP53M (↑)", "p = 1.00 × 10−2", "", ""], ["", "LT (↑)", "p = 4.68 × 10−2", "", "", "TP53WT (↑)", "p = 1.75 × 10−6", "", ""], ["", "LIT (↑)", "p = 9.80 × 10−3", "", "", "", "", "", ""], ["", "LPT (↑)", "p = 5.16 × 10−3", "", "", "", "", "", ""], ["DLL4", "", "", "LT (↑)", "p = 1.77 × 10−2", "", "", "TP53WT (↑)", "p = 4.02 × 10−3"], ["", "", "", "LIT (↑)", "p = 4.46 × 10−3", "", "", "", ""], ["HES1", "LT (↑)", "p = 3.51 × 10−3", "LT (↑)", "p = 3.97 × 10−5", "TP53WT (↑)", "p = 2.30 × 10−2", "TP53WT (↑)", "p = 2.11 × 10−2"], ["", "LIT (↑)", "p = 4.79 × 10−2", "LIT (↑)", "p = 2.18 × 10−3", "", "", "", ""], ["", "LPT (↑)", "p = 3.14 × 10−6", "", "", "", "", "", ""], ["HEY1", "NET (↑)", "p = 4.46 × 10−2", "LT (↑)", "p = 2.20 × 10−2", "TP53M (↑)", "p = 1.16 × 10−3", "", ""], ["", "BST (↑)", "p = 5.74 × 10−3", "", "", "TP53WT (↑)", "p = 1.63 × 10−6", "", ""], ["", "LT (↑)", "p = 1.68 × 10−3", "", "", "", "", "", ""], ["", "LIT (↑)", "p = 1.50 × 10−2", "", "", "", "", "", ""]], "row_count": 33, "column_count": 9, "numeric_cells": 87, "header_rows": 2, "locator": "section[17]/table-wrap[1]#cancers-13-03089-t003"}}, {"id": "asset:table:pmid:34205690:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:7167844ffc85754e135b8e3fdc860b07734456a444699116eb3bde94a28ba1c2", "bytes": 1038, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[24]/table-wrap[1]#cancers-13-03089-t004", "version": null, "note": "Risk assessment of Notch components on OS.", "structure": {"pmcid": "PMC8235546", "section_index": 24, "section_title": "3.3.1. Dependency of Overall Survival (OS) on the Expression Levels of Target Genes", "row_count": 13, "column_count": 8}, "table": {"label": "Table 4", "caption": "Risk assessment of Notch components on OS.", "rows": [["", "Univariate Test", "", "", "Multivariate Test", ""], ["Gene", "HR", "CI95", "p-Value", "Gene", "HR", "CI95", "p-Value"], ["NOTCH1", "1.21", "0.9–1.63", "0.208", "", "", "", ""], ["NOTCH2", "1.44", "1.06–1.96", "0.018 *", "NOTCH2", "1.27", "0.92–1.76", "0.151"], ["NOTCH3", "1.6", "1.2–2.15", "0.002 **", "NOTCH3", "1.65", "1.2–2.25", "0.002 **"], ["NOTCH4", "1.35", "0.85–2.15", "0.204", "", "", "", ""], ["JAG1", "4.26", "1.98–9.18", "0", "JAG1", "3.69", "1.67–8.15", "0.001 **"], ["JAG2", "1.25", "0.88–1.77", "0.221", "", "", "", ""], ["DLL1", "1.47", "0.87–2.5", "0.154", "", "", "", ""], ["DLL3", "0.89", "0.64–1.24", "0.483", "", "", "", ""], ["DLL4", "1.53", "1.11–2.1", "0.009 **", "DLL4", "1.54", "1.11–2.14", "0.009 **"], ["HES1", "0.57", "0.41–0.8", "0.001 **", "HES1", "0.56", "0.39–0.81", "0.002 **"], ["HEY1", "2.26", "1–5.11", "0.045 *", "HEY1", "1.63", "0.7–3.77", "0.255"]], "row_count": 13, "column_count": 8, "numeric_cells": 53, "header_rows": 2, "locator": "section[24]/table-wrap[1]#cancers-13-03089-t004"}}, {"id": "asset:table:pmid:34205690:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:58945db4b1ae3144c43fa25b29629ff7ce92d75478ba05fe02e5a63c40d38e25", "bytes": 1063, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[25]/table-wrap[1]#cancers-13-03089-t005", "version": null, "note": "Risk assessment of Notch components on DFS.", "structure": {"pmcid": "PMC8235546", "section_index": 25, "section_title": "3.3.2. Dependency of Disease-Free Survival (DFS) on the Expression Levels of Target Genes", "row_count": 13, "column_count": 8}, "table": {"label": "Table 5", "caption": "Risk assessment of Notch components on DFS.", "rows": [["", "Univariate Test", "", "", "Multivariate Test", ""], ["Gene", "HR", "CI95", "p-Value", "Gene", "HR", "CI95", "p-Value"], ["NOTCH1", "1.18", "0.85–1.65", "0.322", "", "", "", ""], ["NOTCH2", "1.53", "1.09–2.16", "0.014 *", "NOTCH2", "1.3", "0.91–1.85", "0.152"], ["NOTCH3", "1.46", "1.05–2.04", "0.026 *", "NOTCH3", "1.52", "1.08–2.15", "0.016 *"], ["NOTCH4", "0.88", "0.63–1.23", "0.447", "", "", "", ""], ["JAG1", "1.9", "1.02–3.52", "0.042 *", "JAG1", "1.42", "0.75–2.68", "0.28"], ["JAG2", "1.66", "1.07–2.58", "0.023 *", "JAG2", "1.63", "1.05–2.55", "0.03 *"], ["DLL1", "1.12", "0.81–1.56", "0.494", "", "", "", ""], ["DLL3", "1.19", "0.85–1.67", "0.3", "", "", "", ""], ["DLL4", "0.65", "0.44–0.95", "0.028 *", "DLL4", "0.68", "0.46–1.01", "0.056"], ["HES1", "0.56", "0.39–0.82", "0.003 **", "HES1", "0.59", "0.4–0.88", "0.01 *"], ["HEY1", "1.97", "1–3.87", "0.046 *", "HEY1", "1.67", "0.84–3.34", "0.146"]], "row_count": 13, "column_count": 8, "numeric_cells": 56, "header_rows": 2, "locator": "section[25]/table-wrap[1]#cancers-13-03089-t005"}}, {"id": "asset:table:pmid:34205690:6", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:c559fbbecd36873c68ce772b0b37527ecef87df6a0924e26ed5eb4a16b9f7842", "bytes": 2461, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[36]/table-wrap[1]#cancers-13-03089-t006", "version": null, "note": "The dual role of Notch receptors and ligands in BCa.", "structure": {"pmcid": "PMC8235546", "section_index": 36, "section_title": "4.1. NOTCH2/3 and DLL4 Are Potential Drivers of Notch Signaling in BCa", "row_count": 19, "column_count": 3}, "table": {"label": "Table 6", "caption": "The dual role of Notch receptors and ligands in BCa.", "rows": [["Name", "Role in BCa", "Description"], ["NOTCH1", "Suppression *(↓)", "Activated NOTCH1 suppressed BCa in vitro and in vivo by reducing ERK1 and ERK2(ERK1/2) [8]. Suppression of NOTCH1 may be advantageous for tumor progression [6]."], ["Oncogene (↑)", "NOTCH1 knockdown led to cancer cell growth and significantly inhibited growth and proliferation [72]."], ["NOTCH2", "Suppression *(↓)", "NOTCH2 was significantly downregulated in BCa [6,8]. Inactivation of NOTCH2 favors the process of EMT and promotes BCa progression [7]."], ["Oncogene (↑)", "High rate of NOTCH2 copy number gain and over-expression in BCa, and the activation of NOTCH2 promotes metastasis, resulting in poor survival [5]."], ["NOTCH3", "Suppression (↓)", "Deletion of the intracellular domain of NOTCH3 leads to negative function in BCa, i.e., turning it into potential tumor-suppressive gene [8]."], ["Oncogene*(↑)", "Significantly upregulated NOTCH3 enhanced the BCa growth and chemoresistance in urothelial carcinoma with worse survival [9]."], ["NOTCH4", "Suppression * (↓)", "NOTCH4 was significantly downregulated in BCa, especially in the T1 stage of bladder tumor. However, in patients diagnosed with muscle-invasive bladder tumor (MIBC), high NOTCH4 expression correlated with poor survival and more vascular invasion [73]."], ["Oncogene", "NA"], ["JAG1", "Suppression (↓)", "JAG1 significantly decreased in BCa and was associated with poor prognosis [74]."], ["Oncogene (↑)", "miR-489 directly suppressed JAG1 expression, inhibiting the proliferation and invasion of human bladder cancer cells [75]."], ["JAG2", "Suppression", "NA"], ["Oncogene (↑)", "JAG2 was overexpressed in BCa and was significantly associated with the metastasis and recurrence [76]."], ["DLL1", "Suppression *(↓)", "DLL1 was significantly decreased in BCa. Supposed to be a suppressive gene [6]."], ["Oncogene", "NA"], ["DLL3", "Suppression", "NA"], ["Oncogene * (↑)", "DLL3 was significantly upregulated in small cell components correlated with worse clinical outcomes in small cell bladder cancer (SCBC) [77]."], ["DLL4", "Suppression", "NA"], ["Oncogene (↑)", "DLL4 was significantly upregulated in BCa, and the expression of DLL4 was found to be associated with vascular differentiation in BCa [78]."]], "row_count": 19, "column_count": 3, "numeric_cells": 13, "header_rows": 1, "locator": "section[36]/table-wrap[1]#cancers-13-03089-t006"}}, {"id": "asset:table:pmid:34205690:7", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:c111a0a22795f380172ebf4ada6439c441aa0e9f3fc38cb11fcff65602905e42", "bytes": 1940, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[43]/table-wrap[1]#array1", "version": null, "note": 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(iii) IHC image credit: Human Protein Atlas (https://w", "as.org/, accessed on 13 December 2020) [62]; IHC staining of NOTCH3 (A3) and DLL4 (B3) in nor", "get genes is summarized in Figure S9. 3.5.3. IHC of Notch-Related Proteins in Normal Bladder"], "order_basis": "paper_text_order:7902", "id": "assay:1"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Univariate analysis was performed using ANOVA, t-test, Wilcoxon test, Tukey’s HSD, and permutation tests."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}