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pmid:29430186

Identification of genomic expression differences between right-sided and left-sided colon cancer based on bioinformatics analysis.

Qiliang Peng · Kaisu Lin · Tao Chang · Li Zou · Pengfei Xing · Yuntian Shen · Yaqun Zhu

OncoTargets and therapy · 2018 doi:10.2147/OTT.S154207

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complete

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title
Identification of genomic expression differences between right-sided and left-sided colon cancer based on bioinformatics analysis.
doi
10.2147/OTT.S154207
pmid
29430186
authors array · 7 items
[0]
Qiliang Peng
[1]
Kaisu Lin
[2]
Tao Chang
[3]
Li Zou
[4]
Pengfei Xing
[5]
Yuntian Shen
[6]
Yaqun Zhu
journal
OncoTargets and therapy
year
2018
abstract
INTRODUCTION: More and more findings have demonstrated that right-sided colon cancers (RCC) and left-sided colon cancers (LCC) are distinct clinical and biological entities and suggest that they should be treated as different diseases. However, the reasons why RCC and LCC harbor different clinical and biological features remain unclear. MATERIALS AND METHODS: To identify the genomic expression differences between RCC and LCC and uncover the mechanisms underlying these differences, we chose the gene expression profiles of GSE14333 from the Gene Expression Omnibus (GEO) database as an object of study. Then, a systematic and integrative bioinformatics analysis was performed to research the possible mechanism of the differentially expressed (DE) genes from the Gene Expression Omnibus dataset including gene ontology (GO) analysis, pathway enrichment analysis, protein-protein interaction (PPI) network construction, and module analysis. Totally, we extracted 3,793 DE genes from samples of colon cancer including 1,961 genes upregulated in RCC and 1,832 genes upregulated in LCC from the selected dataset. RESULTS: The results of GO and pathway enrichment analysis indicated that RCC and LCC could predispose to different pathways regulated by different genes. Based on the PPI network, PCNA, TP53, HSP90AA1, CSNK2A1, UBB, LRRK2, ABL1, PRKACA, CAV1, and JUN were identified as the key hub genes. Also, significant modules were screened from the PPI network. CONCLUSION: In conclusion, the present study indicated that the identified genes and pathways may promote new insights into the underlying molecular mechanisms contributing to the difference between RCC and LCC and might be used as specific therapeutic targets and prognostic markers for the personalized treatment of RCC and LCC.
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The differential expression analysis was carried out on the basis of Student’s t-test in the Limma R package.
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The differential expression analysis was carried out on the basis of Student’s t-test in the Limma R package.
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The microarray data (GSE14333) were retrieved from the public database National Center for Biotechnology Information Gene Expression Omnibus. GSE14333 was based on the GPL570 platform, which is determined by Affymetrix Human Genome U133Plus 2.0 arrays. We only evaluated the genome expression data with clinical data of the patients provided by the submitter. Finally, we selected the data consist of 101 RCC patients and 93 LCC patients, which were part of GSE14333. Normalized gene expression data were downloaded as the direct form for further analysis, and the dataset contained the expression information of 23,495 mRNAs.
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The microarray data (GSE14333) were retrieved from the public database National Center for Biotechnology Information Gene Expression Omnibus.
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GSE14333 was based on the GPL570 platform, which is determined by Affymetrix Human Genome U133Plus 2.0 arrays.
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Finally, we selected the data consist of 101 RCC patients and 93 LCC patients, which were part of GSE14333.
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Using GSE14333 gene-expression profiles retrieved from GEO and analyzed with the Limma R package at P-value <0.05, the study identified 3,793 differentially expressed genes between right-sided and left-sided colon cancers.
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Based on the Limma R package, a total of 3,793 genes were identified to differentially express between RCC and LCC patients (P-value <0.05), of which 1,961 genes were upregulated and 1,832 genes were downregulated in RCC compared with LCC.
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To identify the genomic expression differences between RCC and LCC and uncover the mechanisms underlying these differences, we chose the gene expression profiles of GSE14333 from the Gene Expression Omnibus (GEO) database as an object of study.
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Based on the Limma R package, a total of 3,793 genes were identified to differentially express between RCC and LCC patients (P-value <0.05), of which 1,961 genes were upregulated and 1,832 genes were downregulated in RCC compared with LCC.
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Using GSE14333 gene-expression profiles retrieved from GEO and analyzed with the Limma R package at P-value <0.05, the study identified 3,793 differentially expressed genes between right-sided and left-sided colon cancers.
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[7]
1.50E–05
[5] array · 8 items
[0]
PAX9
[1]
3.64E–07
[2]
MSX2
[3]
8.17E–05
[4]
MUC12
[5]
3.09E–07
[6]
ZNF813
[7]
1.50E–05
[6] array · 8 items
[0]
CDC42EP2
[1]
6.88E–07
[2]
PSMC4
[3]
8.80E–05
[4]
LY6G6D
[5]
5.53E–07
[6]
ZNF347
[7]
2.19E–05
[7] array · 8 items
[0]
TC2N
[1]
1.04E–06
[2]
BSG
[3]
8.84E–05
[4]
ZNF610
[5]
7.34E–07
[6]
STMN2
[7]
2.19E–05
[8] array · 8 items
[0]
ZIC2
[1]
1.28E–06
[2]
AX747191
[3]
9.21E–05
[4]
ST6GAL2
[5]
1.51E–06
[6]
GNG4
[7]
2.36E–05
[9] array · 8 items
[0]
FOXD1
[1]
2.17E–06
[2]
ALAS1
[3]
9.58E–05
[4]
KHDRBS3
[5]
2.07E–06
[6]
TMSB15A
[7]
2.42E–05
[10] array · 8 items
[0]
NDUFV2
[1]
1.98E–05
[2]
CAMK2D
[3]
9.60E–05
[4]
AKAP2
[5]
2.49E–06
[6]
MIR6716
[7]
2.59E–05
[11] array · 8 items
[0]
VPS53
[1]
1.99E–05
[2]
DDIT3
[3]
9.61E–05
[4]
FGD1
[5]
2.50E–06
[6]
SLC22A17
[7]
2.68E–05
[12] array · 8 items
[0]
AARS2
[1]
2.01E–05
[2]
PIK3R3
[3]
9.89E–05
[4]
ELAVL2
[5]
2.70E–06
[6]
DDX27
[7]
2.77E–05
[13] array · 8 items
[0]
ESCO1
[1]
2.18E–05
[2]
RP11-61L19.3
[3]
1.00E–05
[4]
INSL5
[5]
2.88E–06
[6]
IFNLR1
[7]
2.97E–05
[14] array · 8 items
[0]
DEGS2
[1]
2.23E–05
[2]
IRF9
[3]
1.19E–04
[4]
XPNPEP2
[5]
3.32E–06
[6]
SERINC3
[7]
3.04E–05
[15] array · 8 items
[0]
SNRPD1
[1]
2.28E–05
[2]
PRMT5
[3]
1.23E–04
[4]
MAGEH1
[5]
3.52E–06
[6]
SLC35D3
[7]
3.22E–05
[16] array · 8 items
[0]
KIAA1468
[1]
2.73E–05
[2]
GMDS
[3]
1.25E–04
[4]
DPM1
[5]
3.55E–06
[6]
GPR153
[7]
3.28E–05
[17] array · 8 items
[0]
RBBP8
[1]
2.83E–05
[2]
ZIC5
[3]
1.37E–04
[4]
TLE2
[5]
3.78E–06
[6]
ZNF134
[7]
3.32E–05
[18] array · 8 items
[0]
OR6A2
[1]
2.96E–05
[2]
GOT1
[3]
1.37E–04
[4]
OGN
[5]
4.83E–06
[6]
PLAGL2
[7]
3.34E–05
[19] array · 8 items
[0]
ABCB11
[1]
3.31E–05
[2]
FAM46A
[3]
1.40E–04
[4]
ZNF415
[5]
5.73E–06
[6]
CLDN8
[7]
3.48E–05
[20] array · 8 items
[0]
GAPDH
[1]
3.42E–05
[2]
SLC10A2
[3]
1.49E–04
[4]
WASF3
[5]
6.02E–06
[6]
KLHL34
[7]
3.57E–05
[21] array · 8 items
[0]
EIF4A1
[1]
4.01E–05
[2]
DAOA
[3]
1.60E–04
[4]
BCAS4
[5]
6.85E–06
[6]
NES
[7]
3.65E–05
[22] array · 8 items
[0]
HOXB6
[1]
4.16E–05
[2]
MOK
[3]
1.66E–04
[4]
CERK
[5]
7.11E–06
[6]
ROCK2
[7]
3.73E–05
[23] array · 8 items
[0]
EIF2B2
[1]
4.68E–05
[2]
SEMG1
[3]
1.73E–04
[4]
CHMP4B
[5]
7.88E–06
[6]
KLF7
[7]
4.12E–05
[24] array · 8 items
[0]
DGKQ
[1]
4.84E–05
[2]
HSPA4L
[3]
1.82E–04
[4]
ZFP28
[5]
9.09E–06
[6]
ZCCHC24
[7]
4.73E–05
[25] array · 8 items
[0]
DNAH2
[1]
5.34E–05
[2]
GCH1
[3]
1.83E–04
[4]
ZNF542P
[5]
1.25E–05
[6]
RP11-524D16_A.3
[7]
4.95E–05
[26] array · 8 items
[0]
SDHA
[1]
5.35E–05
[2]
TIMM50
[3]
1.89E–04
[4]
PDE3A
[5]
1.25E–05
[6]
SPIN3
[7]
5.22E–05
locator
section[9]/table-wrap[1]#t2-ott-11-609
[4] object · 16 fields
id
asset:table:pmid:29430186:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1a15e5b002bb2298e33311c254fecf64a875fbdc90d770fd159b144c4d5c3455
bytes
472
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[1]#t3-ott-11-609
version
null
note
Topological information of networks detected by the upregulated genes in RCC and LCC, respectively
structure object · 5 fields
pmcid
PMC5797455
section_index
12
section_title
PPI network construction
row_count
3
column_count
5
table object · 8 fields
label
Table 3
caption
Topological information of networks detected by the upregulated genes in RCC and LCC, respectively
rows array · 3 items
[0] array · 5 items
[0]
Network
[1]
Number of nodes
[2]
Number of edges
[3]
Average number of neighbors
[4]
Hub genes
[1] array · 5 items
[0]
RCC
[1]
804
[2]
1,759
[3]
4.38
[4]
UBB, HSP90AA1, TP53, PCNA, CSNK2A1
[2] array · 5 items
[0]
LCC
[1]
589
[2]
872
[3]
2.96
[4]
PRKACA, CAV1, LRRK2, ABL1, JUN
locator
section[12]/table-wrap[1]#t3-ott-11-609
[5] object · 16 fields
id
asset:table:pmid:29430186:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:a195ab1ee44b8476decac01d1d87a385fe425b7151bc70567ab693c774b99d8f
bytes
553
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[2]#t4-ott-11-609
version
null
note
Detailed information of the selected hub genes from the PPI network
structure object · 5 fields
pmcid
PMC5797455
section_index
12
section_title
PPI network construction
row_count
11
column_count
4
table object · 8 fields
label
Table 4
caption
Detailed information of the selected hub genes from the PPI network
rows array · 11 items
[0] array · 4 items
[0]
Gene
[1]
Network
[2]
P-value
[3]
Degree
[1] array · 4 items
[0]
UBB
[1]
RCC
[2]
0.012
[3]
81
[2] array · 4 items
[0]
HSP90AA1
[1]
RCC
[2]
0.012
[3]
75
[3] array · 4 items
[0]
TP53
[1]
RCC
[2]
0.003
[3]
71
[4] array · 4 items
[0]
PCNA
[1]
RCC
[2]
0.005
[3]
35
[5] array · 4 items
[0]
CSNK2A1
[1]
RCC
[2]
0.002
[3]
33
[6] array · 4 items
[0]
PRKACA
[1]
LCC
[2]
0.049
[3]
26
[7] array · 4 items
[0]
CAV1
[1]
LCC
[2]
0.007
[3]
25
[8] array · 4 items
[0]
LRRK2
[1]
LCC
[2]
0.021
[3]
18
[9] array · 4 items
[0]
ABL1
[1]
LCC
[2]
0.002
[3]
18
[10] array · 4 items
[0]
JUN
[1]
LCC
[2]
0.010
[3]
18
locator
section[12]/table-wrap[2]#t4-ott-11-609
gaps array · 2 items
[0]
asset:data:geo:GSE14333 not downloaded
[1]
asset:data:geo:GSE14333 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
The differential expression analysis was carried out on the basis of Student’s t-test in the Limma R package.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[2] object · 10 fields
id
method-3
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
pathway enrichment
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
build_graph
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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: limma_voom.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE14333
resolved_accessions array · 1 item
[0]
GSE14333
statements array · 1 item
[0]
The microarray data (GSE14333) were retrieved from the public database National Center for Biotechnology Information Gene Expression Omnibus. GSE14333 was based on the GPL570 platform, which is determined by Affymetrix Human Genome U133Plus 2.0 arrays. We only evaluated the genome expression data with clinical data of the patients provided by the submitter. Finally, we selected the data consist of 101 RCC patients and 93 LCC patients, which were part of GSE14333. Normalized gene expression data were downloaded as the direct form for further analysis, and the dataset contained the expression information of 23,495 mRNAs.
basis
The paper names GSE14333 in National Center for Biotechnology Information Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 6 items
[0]
source:pmid:29430186
[1]
data:geo:GSE14333
[2]
asset:table:pmid:29430186:1
[3]
asset:table:pmid:29430186:2
[4]
asset:table:pmid:29430186:3
[5]
asset:table:pmid:29430186:4
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE14333
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:33:41Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
8
usage object · 3 fields
prompt_tokens
64567
completion_tokens
3077
cached_tokens
2105
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
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:29430186
type
paper
label
pmid:29430186
[1] object · 3 fields
id
source:pmid:29430186
type
manuscript
label
PMID 29430186 full text
[2] object · 3 fields
id
data:geo:GSE14333
type
dataset
label
GEO GSE14333
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:29430186
type
paper
label
pmid:29430186
[1] object · 3 fields
id
source:pmid:29430186
type
manuscript
label
PMID 29430186 full text
[2] object · 3 fields
id
data:geo:GSE14333
type
dataset
label
GEO GSE14333
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-29430186
type
extraction
used array · 1 item
[0]
source:pmid:29430186
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14333
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE14333
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:29430186
parent_hash
sha256:8a86463fa496874cbffd7014718109cdd1bc1012ae26670edf638771825a0d7c
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE14333 licence not read
[1]
asset:data:geo:GSE14333 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The differential expression analysis was carried out on the basis of Student’s t-test in the Limma R package.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29430186", "kind": "science-record", "revision": 9, "content_hash": "sha256:42a4650fba55d714a120d2fb85641445569d0848990e07df73c53b37f599ef60", "created_at": "2026-11-01T15:40:31Z", "updated_at": "2026-11-01T22:43:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of genomic expression differences between right-sided and left-sided colon cancer based on bioinformatics analysis.", "doi": "10.2147/OTT.S154207", "pmid": "29430186", "authors": ["Qiliang Peng", "Kaisu Lin", "Tao Chang", "Li Zou", "Pengfei Xing", "Yuntian Shen", "Yaqun Zhu"], "journal": "OncoTargets and therapy", "year": 2018, "abstract": "INTRODUCTION: More and more findings have demonstrated that right-sided colon cancers (RCC) and left-sided colon cancers (LCC) are distinct clinical and biological entities and suggest that they should be treated as different diseases. However, the reasons why RCC and LCC harbor different clinical and biological features remain unclear.\nMATERIALS AND METHODS: To identify the genomic expression differences between RCC and LCC and uncover the mechanisms underlying these differences, we chose the gene expression profiles of GSE14333 from the Gene Expression Omnibus (GEO) database as an object of study. Then, a systematic and integrative bioinformatics analysis was performed to research the possible mechanism of the differentially expressed (DE) genes from the Gene Expression Omnibus dataset including gene ontology (GO) analysis, pathway enrichment analysis, protein-protein interaction (PPI) network construction, and module analysis. Totally, we extracted 3,793 DE genes from samples of colon cancer including 1,961 genes upregulated in RCC and 1,832 genes upregulated in LCC from the selected dataset.\nRESULTS: The results of GO and pathway enrichment analysis indicated that RCC and LCC could predispose to different pathways regulated by different genes. Based on the PPI network, PCNA, TP53, HSP90AA1, CSNK2A1, UBB, LRRK2, ABL1, PRKACA, CAV1, and JUN were identified as the key hub genes. Also, significant modules were screened from the PPI network.\nCONCLUSION: In conclusion, the present study indicated that the identified genes and pathways may promote new insights into the underlying molecular mechanisms contributing to the difference between RCC and LCC and might be used as specific therapeutic targets and prognostic markers for the personalized treatment of RCC and LCC.", "claims": [{"id": "claim-method", "statement": "The differential expression analysis was carried out on the basis of Student’s t-test in the Limma R package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29430186", "locator": "sections[4] \"Differential expression analysis\" paragraph 2", "quote": "The differential expression analysis was carried out on the basis of Student’s t-test in the Limma R package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray data (GSE14333) were retrieved from the public database National Center for Biotechnology Information Gene Expression Omnibus. GSE14333 was based on the GPL570 platform, which is determined by Affymetrix Human Genome U133Plus 2.0 arrays. We only evaluated the genome expression data with clinical data of the patients provided by the submitter. Finally, we selected the data consist of 101 RCC patients and 93 LCC patients, which were part of GSE14333. Normalized gene expression data were downloaded as the direct form for further analysis, and the dataset contained the expression information of 23,495 mRNAs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29430186", "locator": "sections[3] \"Data collection\" paragraph 2", "quote": "The microarray data (GSE14333) were retrieved from the public database National Center for Biotechnology Information Gene Expression Omnibus."}, {"asset": "source:pmid:29430186", "locator": "sections[3] \"Data collection\" paragraph 2", "quote": "GSE14333 was based on the GPL570 platform, which is determined by Affymetrix Human Genome U133Plus 2.0 arrays."}, {"asset": "source:pmid:29430186", "locator": "sections[3] \"Data collection\" paragraph 2", "quote": "We only evaluated the genome expression data with clinical data of the patients provided by the submitter."}, {"asset": "source:pmid:29430186", "locator": "sections[3] \"Data collection\" paragraph 2", "quote": "Finally, we selected the data consist of 101 RCC patients and 93 LCC patients, which were part of GSE14333."}, {"asset": "source:pmid:29430186", "locator": "sections[4] \"Differential expression analysis\" paragraph 2", "quote": "Normalized gene expression data were downloaded as the direct form for further analysis, and the dataset contained the expression information of 23,495 mRNAs."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using GSE14333 gene-expression profiles retrieved from GEO and analyzed with the Limma R package at P-value <0.05, the study identified 3,793 differentially expressed genes between right-sided and left-sided colon cancers.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "Based on the Limma R package, a total of 3,793 genes were identified to differentially express between RCC and LCC patients (P-value <0.05), of which 1,961 genes were upregulated and 1,832 genes were downregulated in RCC compared with LCC."}, "evidence": [{"asset": "source:pmid:29430186", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "To identify the genomic expression differences between RCC and LCC and uncover the mechanisms underlying these differences, we chose the gene expression profiles of GSE14333 from the Gene Expression Omnibus (GEO) database as an object of study."}, {"asset": "source:pmid:29430186", "locator": "sections[9] \"Identification of DE genes\" paragraph 2", "quote": "Based on the Limma R package, a total of 3,793 genes were identified to differentially express between RCC and LCC patients (P-value <0.05), of which 1,961 genes were upregulated and 1,832 genes were downregulated in RCC compared with LCC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using GSE14333 gene-expression profiles retrieved from GEO and analyzed with the Limma R package at P-value <0.05, the study identified 3,793 differentially expressed genes between right-sided and left-sided colon cancers.", "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:29430186"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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{"label": "Table 1", "caption": "Clinical characteristics of the study population with RCC and LCC", "rows": [["Clinical characteristics", "RCC", "LCC"], ["Patients", "101", "93"], ["Median age (years)", "69±12", "62±13"], ["Sex", "", ""], ["Male", "46 (45.5%)", "55 (59.1%)"], ["Female", "55 (54.5%)", "38 (40.9%)"], ["Dukes staging system", "", ""], ["A", "16 (15.8%)", "16 (17.2%)"], ["B", "44 (43.6%)", "37 (39.8%)"], ["C", "41 (40.6%)", "40 (43.0%)"], ["DFS", "41±27", "44±28"]], "row_count": 11, "column_count": 3, "numeric_cells": 16, "header_rows": 1, "locator": "section[8]/table-wrap[1]#t1-ott-11-609"}}, {"id": "asset:table:pmid:29430186:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:f97d437a9f2c72e8c0ce2bc386eb9790313e9c52ad7cafba7dfdc48bd52cad44", "bytes": 2481, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#t2-ott-11-609", "version": null, "note": "Top 50 upregulated DE genes in RCC and LCC", "structure": {"pmcid": "PMC5797455", "section_index": 9, "section_title": "Identification of DE genes", "row_count": 27, "column_count": 8}, "table": {"label": "Table 2", "caption": "Top 50 upregulated DE genes in RCC and LCC", "rows": [["RCC", "LCC"], ["Gene", "P-value", "Gene", "P-value", "Gene", "P-value", "Gene", "P-value"], ["HOXC6", "7.35E–10", "TIGD2", "5.88E–05", "PRAC1", "2.32E–26", "FXYD1", "1.36E–05"], ["GLOD4", "2.11E–07", "ME2", "6.86E–05", "HOXB13", "6.94E–08", "CPE", "1.40E–05"], ["FLRT3", "2.50E–07", "AHR", "7.53E–05", "AX748273", "1.15E–07", "DBNDD2", "1.50E–05"], ["PAX9", "3.64E–07", "MSX2", "8.17E–05", "MUC12", "3.09E–07", "ZNF813", "1.50E–05"], ["CDC42EP2", "6.88E–07", "PSMC4", "8.80E–05", "LY6G6D", "5.53E–07", "ZNF347", "2.19E–05"], ["TC2N", "1.04E–06", "BSG", "8.84E–05", "ZNF610", "7.34E–07", "STMN2", "2.19E–05"], ["ZIC2", "1.28E–06", "AX747191", "9.21E–05", "ST6GAL2", "1.51E–06", "GNG4", "2.36E–05"], ["FOXD1", "2.17E–06", "ALAS1", "9.58E–05", "KHDRBS3", "2.07E–06", "TMSB15A", "2.42E–05"], ["NDUFV2", "1.98E–05", "CAMK2D", "9.60E–05", "AKAP2", "2.49E–06", "MIR6716", "2.59E–05"], ["VPS53", "1.99E–05", "DDIT3", "9.61E–05", "FGD1", "2.50E–06", "SLC22A17", "2.68E–05"], ["AARS2", "2.01E–05", "PIK3R3", "9.89E–05", "ELAVL2", "2.70E–06", "DDX27", "2.77E–05"], ["ESCO1", "2.18E–05", "RP11-61L19.3", "1.00E–05", "INSL5", "2.88E–06", "IFNLR1", "2.97E–05"], ["DEGS2", "2.23E–05", "IRF9", "1.19E–04", "XPNPEP2", "3.32E–06", "SERINC3", "3.04E–05"], ["SNRPD1", "2.28E–05", "PRMT5", "1.23E–04", "MAGEH1", "3.52E–06", "SLC35D3", "3.22E–05"], ["KIAA1468", "2.73E–05", "GMDS", "1.25E–04", "DPM1", "3.55E–06", "GPR153", "3.28E–05"], ["RBBP8", "2.83E–05", "ZIC5", "1.37E–04", "TLE2", "3.78E–06", "ZNF134", "3.32E–05"], ["OR6A2", "2.96E–05", "GOT1", "1.37E–04", "OGN", "4.83E–06", "PLAGL2", "3.34E–05"], ["ABCB11", "3.31E–05", "FAM46A", "1.40E–04", "ZNF415", 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE14333"], "resolved_accessions": ["GSE14333"], "statements": ["The microarray data (GSE14333) were retrieved from the public database National Center for Biotechnology Information Gene Expression Omnibus. GSE14333 was based on the GPL570 platform, which is determined by Affymetrix Human Genome U133Plus 2.0 arrays. We only evaluated the genome expression data with clinical data of the patients provided by the submitter. Finally, we selected the data consist of 101 RCC patients and 93 LCC patients, which were part of GSE14333. Normalized gene expression data were downloaded as the direct form for further analysis, and the dataset contained the expression information of 23,495 mRNAs."], "basis": "The paper names GSE14333 in National Center for Biotechnology Information Gene Expression Omnibus (GEO) and the accession resolves in the repository. 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