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pmid:32983993

Clinical Correlation of Wnt2 and COL8A1 With Colon Adenocarcinoma Prognosis.

Lihua Zhang · Xin Jiang · Yan Li · Qianqian Fan · Hongjuan Li · Linfang Jin · Liqi Li · Yufen Jin · Ting Zhang · Yong Mao · Dong Hua

Frontiers in oncology · 2020 doi:10.3389/fonc.2020.01504

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title
Clinical Correlation of Wnt2 and COL8A1 With Colon Adenocarcinoma Prognosis.
doi
10.3389/fonc.2020.01504
pmid
32983993
authors array · 11 items
[0]
Lihua Zhang
[1]
Xin Jiang
[2]
Yan Li
[3]
Qianqian Fan
[4]
Hongjuan Li
[5]
Linfang Jin
[6]
Liqi Li
[7]
Yufen Jin
[8]
Ting Zhang
[9]
Yong Mao
[10]
Dong Hua
journal
Frontiers in oncology
year
2020
abstract
Wnt2 mRNA is widely expressed in various tumor tissues. Wnt2 overexpression promotes tumor growth, migration, invasion, and metastasis. However, its underlying molecular action mechanisms and clinical implications in colon adenocarcinoma (COAD) remain unclear. mRNA expression data, obtained from tissue samples, and pathophysiological data of 368 COAD patients were obtained from the Cancer Genome Atlas (TCGA) database. Further, Pearson's correlation analysis was performed to explore the correlation between the expression levels of Wnt2 and other genes in the human genome. Subsequently, a protein-protein interaction (PPI) network was constructed for hub gene identification. Overall survival and significance were determined by Kaplan-Meier analysis, and the log-rank test was used to further identify genes with prognostic significance in COAD from GEO datasets (GSE17538 and GSE39582). Subsequently, 158 tissue samples from Affiliated Hospital of Jiangnan University were used for expression verification. Gene set enrichment analysis (GSEA) was performed on high and low Wnt2 expression datasets to identify potential signaling pathways activated in COAD. In all, 10 hub genes associated with Wnt2 were screened by Pearson's correlation analysis and PPI network, with Wnt2 and COL8A1 having significantly poor prognosis by Kaplan-Meier analysis and log-rank test. Furthermore, high expressions of COL8A1 and Wnt2 were associated with poor survival both in TCGA and GEO cohorts. We further found a correlation between the expressions of Wnt2 and COL8A1 in COAD as per immunohistochemical analysis. To further elucidate the underlying molecular mechanisms of Wnt2 in COAD, we searched for pathways enriched in Wnt2 overexpressing datasets by GSEA. Our findings revealed that high Wnt2 levels were significantly associated with extracellular matrix receptor and focal adhesion pathways. Wnt2 expression correlated with COL8A1 expression in COAD; patients with high Wnt2 and COL8A1 expressions had worse survival outcomes. Pathways identified in this study prompt the molecular role of Wnt2 in COAD and provide directions to further elucidate the involved molecular mechanisms in COAD.
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[408]
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[409]
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[410]
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[411]
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[412]
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[413]
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[414]
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[415]
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[416]
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[417]
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[418]
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[419]
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[420]
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[421]
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[422]
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[423]
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[424]
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[425]
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[426]
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[427]
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[429]
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[430]
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[431]
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[432]
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[433]
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[434]
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[435]
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[436]
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[437]
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[438]
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[439]
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[440]
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[442]
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[443]
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[444]
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[445]
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[446]
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[448]
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[449]
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[450]
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[451]
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[452]
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[453]
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[454]
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[455]
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[456]
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[457]
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[458]
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[459]
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[460]
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[461]
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[462]
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[463]
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[464]
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[465]
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[466]
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[467]
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[468]
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[469]
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[470]
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[471]
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[472]
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[473]
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[474]
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[475]
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[476]
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[477]
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[479]
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[481]
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[484]
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[500]
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[501]
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[502]
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[503]
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[504]
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[514]
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[526]
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sample_count
585
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null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[3] object · 16 fields
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asset:table:pmid:32983993:1
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jats-table
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application/vnd.jats.table+json
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sha256:19c470cb47c88626e940082bff25f53079de5b1fe7066c008b0a09ab4967cc0e
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read_table
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section[10]/table-wrap[1]#T1
version
null
note
Clinical characteristics of 368 COAD patients.
structure object · 5 fields
pmcid
PMC7484937
section_index
10
section_title
Patient Characteristics
row_count
26
column_count
3
table object · 8 fields
label
Table 1
caption
Clinical characteristics of 368 COAD patients.
rows array · 26 items
[0] array · 2 items
[0]
Characteristics
[1]
Number of cases
[1] array · 1 item
[0]
AGE (YEARS)
[2] array · 3 items
[0]
0–44
[1]
21
[2]
5.71%
[3] array · 3 items
[0]
45–59
[1]
78
[2]
21.20%
[4] array · 3 items
[0]
60–74
[1]
155
[2]
42.12%
[5] array · 3 items
[0]
75–90
[1]
114
[2]
30.97%
[6] array · 1 item
[0]
GENDER
[7] array · 3 items
[0]
Female
[1]
170
[2]
46.20%
[8] array · 3 items
[0]
Male
[1]
198
[2]
53.80%
[9] array · 1 item
[0]
TNM STAGE
[10] array · 3 items
[0]
Stage I
[1]
66
[2]
17.90%
[11] array · 3 items
[0]
Stage II
[1]
147
[2]
39.90%
[12] array · 3 items
[0]
Stage III
[1]
98
[2]
26.60%
[13] array · 3 items
[0]
Stage IV
[1]
57
[2]
15.40%
[14] array · 1 item
[0]
T STAGE
[15] array · 3 items
[0]
T1
[1]
8
[2]
2.10%
[16] array · 3 items
[0]
T2
[1]
65
[2]
17.60%
[17] array · 3 items
[0]
T3
[1]
254
[2]
69.00%
[18] array · 3 items
[0]
T4
[1]
41
[2]
11.10%
[19] array · 1 item
[0]
N STAGE
[20] array · 3 items
[0]
N0
[1]
221
[2]
58.90%
[21] array · 3 items
[0]
N1
[1]
86
[2]
23.80%
[22] array · 3 items
[0]
N2
[1]
61
[2]
17.30%
[23] array · 1 item
[0]
M STAGE
[24] array · 3 items
[0]
M0
[1]
311
[2]
76.20%
[25] array · 3 items
[0]
M1
[1]
57
[2]
14.10%
locator
section[10]/table-wrap[1]#T1
[4] object · 16 fields
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asset:table:pmid:32983993:2
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jats-table
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application/vnd.jats.table+json
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null
sha256
sha256:0d1ece0d45c87fc0a1c552ed62c5b7aae9d48401a1a01abea8d0c54f77a85257
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1010
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read_table
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section[13]/table-wrap[1]#T2
version
null
note
Univariate and multivariate COX regression analysis of the prognostic factors of COAD.
structure object · 5 fields
pmcid
PMC7484937
section_index
13
section_title
High Expression Levels of COL8A1 and Wnt2 Indicate Poor COAD Prognosis
row_count
11
column_count
5
table object · 8 fields
label
Table 2
caption
Univariate and multivariate COX regression analysis of the prognostic factors of COAD.
rows array · 11 items
[0] array · 3 items
[0]
Characteristics
[1]
Univariate analysis
[2]
Multivariate analysis
[1] array · 5 items
[0]
[1]
HR (95%CI)
[2]
P
[3]
HR (95%CI)
[4]
P
[2] array · 5 items
[0]
Age (>60 vs. ≤ 60)
[1]
1.23 (0.66–2.29)
[2]
0.522
[3]
[4]
[3] array · 5 items
[0]
Gender (Male vs. Female)
[1]
1.52 (0.91–2.53)
[2]
0.106
[3]
[4]
[4] array · 5 items
[0]
T stage (T3-T4 vs. T1-T2)
[1]
1.18 (0.58–2.37)
[2]
0.652
[3]
[4]
[5] array · 5 items
[0]
N stage (N2-N3 vs. N0-N1)
[1]
1.16 (0.66–2.03)
[2]
0.607
[3]
[4]
[6] array · 5 items
[0]
M stage (M1 vs. M0)
[1]
1.47 (0.53–4.11)
[2]
0.457
[3]
[4]
[7] array · 5 items
[0]
TNM stage (III-IV vs. I-II)
[1]
1.55 (0.96–2.52)
[2]
0.076
[3]
[4]
[8] array · 5 items
[0]
COL8A1 expression (High vs. Low)
[1]
1.78 (1.11–2.87)
[2]
0.017
[3]
1.48 (0.9–2.44)
[4]
0.12
[9] array · 5 items
[0]
WNT2 expression (High vs. Low)
[1]
1.89 (1.17–3.06)
[2]
0.049
[3]
1.28 (0.72–2.28)
[4]
0.406
[10] array · 5 items
[0]
WNT2 and COL8A1 expression (High vs. Low)
[1]
2.81 (1.64–4.81)
[2]
0.002
[3]
2.19 (1.14–4.19)
[4]
0.018
locator
section[13]/table-wrap[1]#T2
gaps array · 4 items
[0]
asset:data:geo:GSE17538 not downloaded
[1]
asset:data:geo:GSE17538 licence not read
[2]
asset:data:geo:GSE39582 not downloaded
[3]
asset:data:geo:GSE39582 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
reordered
quote
Overall survival and its significance were determined by Kaplan-Meier survival analysis and log-rank test. mRNA expression data of tissue samples and clinical materials of 368 COAD patients were obtained from the Cancer Genome Atlas (TCGA) database.
[1] object · 10 fields
id
method-2
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survival_analysis
specific
log_rank_test
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Survival analysis
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[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
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medium
quote
log-rank
[2] object · 10 fields
id
method-3
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correlation_analysis
specific
pearson
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Correlation analysis
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[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.7
band
medium
quote
Pearson's correlation
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id
method-4
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
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[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
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Computational analysis platform
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[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
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R1
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nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
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true
required_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 2 items
[0]
GSE17538
[1]
GSE39582
resolved_accessions array · 2 items
[0]
GSE17538
[1]
GSE39582
statements array · 1 item
[0]
Publicly available datasets were analyzed in this study. This data can be found here: TCGA https://portal.gdc.cancer.gov/.
basis
The paper names GSE17538, GSE39582 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 4 items
[0]
source:pmid:32983993
[1]
data:geo:GSE17538
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asset:table:pmid:32983993:1
[3]
asset:table:pmid:32983993:2
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[0]
run_analysis
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data_gaps array · 1 item
[0]
data:geo:GSE17538
gaps array · 0 items
review object · 5 fields
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partial
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extraction_review
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MiniMax-M3.1-Flash
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minimax
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minimax
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2026-10-31T18:22:47Z
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single_reader
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reordered
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verbatim
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3
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22764
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1409
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792
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[0] object · 4 fields
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extraction
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complete
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minimax
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review.independent_reader
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review.human_critique
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xpressions of Wnt2 and COL8A1 in COAD as per immunohistochemical analysis. To further elucidate the underlyin
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Overall survival and its significance were determined by Kaplan-Meier survival analysis and log-rank test. mRNA expression data of tissue samples and clinical materials of 368 COAD patients were obtained from the Cancer Genome Atlas (TCGA) database.
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Complete file
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However, its underlying molecular action mechanisms and clinical implications in colon adenocarcinoma (COAD) remain unclear. mRNA expression data, obtained from tissue samples, and pathophysiological data of 368 COAD patients were obtained from the Cancer Genome Atlas (TCGA) database. Further, Pearson's correlation analysis was performed to explore the correlation between the expression levels of Wnt2 and other genes in the human genome. Subsequently, a protein-protein interaction (PPI) network was constructed for hub gene identification. Overall survival and significance were determined by Kaplan-Meier analysis, and the log-rank test was used to further identify genes with prognostic significance in COAD from GEO datasets (GSE17538 and GSE39582). Subsequently, 158 tissue samples from Affiliated Hospital of Jiangnan University were used for expression verification. Gene set enrichment analysis (GSEA) was performed on high and low Wnt2 expression datasets to identify potential signaling pathways activated in COAD. In all, 10 hub genes associated with Wnt2 were screened by Pearson's correlation analysis and PPI network, with Wnt2 and COL8A1 having significantly poor prognosis by Kaplan-Meier analysis and log-rank test. Furthermore, high expressions of COL8A1 and Wnt2 were associated with poor survival both in TCGA and GEO cohorts. We further found a correlation between the expressions of Wnt2 and COL8A1 in COAD as per immunohistochemical analysis. To further elucidate the underlying molecular mechanisms of Wnt2 in COAD, we searched for pathways enriched in Wnt2 overexpressing datasets by GSEA. Our findings revealed that high Wnt2 levels were significantly associated with extracellular matrix receptor and focal adhesion pathways. Wnt2 expression correlated with COL8A1 expression in COAD; patients with high Wnt2 and COL8A1 expressions had worse survival outcomes. Pathways identified in this study prompt the molecular role of Wnt2 in COAD and provide directions to further elucidate the involved molecular mechanisms in COAD.", "claims": [{"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: TCGA https://portal.gdc.cancer.gov/.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32983993", "locator": "sections[16] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE17538"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE17538"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32983993", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fonc.2020.01504", "sha256": "sha256:d955761e60e79ea1abce9546d5da7dcdc3f1bb4a2879e5459858ecaa3ac3d5e9", "bytes": 27898, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fonc.2020.01504", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7484937", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE17538", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17538", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE17538", "version": null, "note": "Publicly available datasets were analyzed in this study. 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