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pmid:24809982

A long non-coding RNA signature to improve prognosis prediction of colorectal cancer.

Ye Hu · Hao-Yan Chen · Chen-Yang Yu · Jie Xu · Ji-Lin Wang · Jin Qian · Xi Zhang · Jing-Yuan Fang

Oncotarget · 2014 doi:10.18632/oncotarget.1895

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

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title
A long non-coding RNA signature to improve prognosis prediction of colorectal cancer.
doi
10.18632/oncotarget.1895
pmid
24809982
authors array · 8 items
[0]
Ye Hu
[1]
Hao-Yan Chen
[2]
Chen-Yang Yu
[3]
Jie Xu
[4]
Ji-Lin Wang
[5]
Jin Qian
[6]
Xi Zhang
[7]
Jing-Yuan Fang
journal
Oncotarget
year
2014
abstract
Increasing evidence suggests long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers, however, few related lncRNA signatures have been established for prediction of cancer prognosis. We aimed to develop a lncRNA signature to improve prognosis prediction of colorectal cancer (CRC). Using a lncRNA-mining approach, we performed lncRNA expression profiling in large CRC cohorts from Gene Expression Ominus (GEO), including GSE39582 test series(N=436), internal validation series (N=117); and two independent validation series GSE14333 (N=197) and GSE17536(N=145). We established a set of six lncRNAs that were significantly correlated with the disease free survival (DFS) in the test series. Based on this six-lncRNA signature, the test series patients could be classified into high-risk and low-risk subgroups with significantly different DFS (HR=2.670; P<0.0001). The prognostic value of this six-lncRNA signature was confirmed in the internal validation series and another two independent CRC sets. Gene set enrichment analysis (GSEA) analysis suggested that risk score positively correlated with several cancer metastasis related pathways. Functional experiments demonstrated three dysregulated lncRNAs, AK123657, BX648207 and BX649059 were required for efficient invasion and proliferation suppression in CRC cell lines. Our results might provide an efficient classification tool for clinical prognosis evaluation of CRC.
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The association between the lncRNA expression and patient's disease free survival (DFS) and disease specific survival (DSS) was assessed by univariable Cox regression analysis along with a permutation test using Biometric Research Branch-Array (BRB-Array) Tools [39].
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sections[15] "Statistical analysis" paragraph 2
quote
The association between the lncRNA expression and patient's disease free survival (DFS) and disease specific survival (DSS) was assessed by univariable Cox regression analysis along with a permutation test using Biometric Research Branch-Array (BRB-Array) Tools [39].
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The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).
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sections[24] "Data sharing statement" paragraph 2
quote
The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).
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The study used univariable and multivariable Cox proportional hazards regression, Kaplan–Meier analysis with log-rank tests, and GSEA; source microarray data and clinical data were obtained from the public GEO database, with prognostic lncRNAs selected in the GSE39582 test series and validated in internal and independent cohorts. The headline result was identification of a six-lncRNA signature that classified CRC patients into groups with significantly different disease-free survival.
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GSM437269
sample_count
177
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients (Moffitt Samples)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE39582
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=GSE39582
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE39582
version
null
note
The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).
access_statement_kind
data_availability_statement
sample_accessions array · 585 items
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sample_count
585
group_sizes
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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
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The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).
structure object · 15 fields
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GEO accession URL
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The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).
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sample_count
463
group_sizes
null
group_sizes_basis
null
platform
16070
taxon
Homo sapiens
title
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [CGH]
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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[5] object · 16 fields
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asset:table:pmid:24809982:1
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jats-table
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read_table
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LncRNAs significantly associated with the disease free survival in the test series patients (N=436)
structure object · 5 fields
pmcid
PMC4039159
section_index
4
section_title
Identification of prognostic lncRNAs from the test series
row_count
7
column_count
4
table object · 8 fields
label
Table 1
caption
LncRNAs significantly associated with the disease free survival in the test series patients (N=436)
rows array · 7 items
[0] array · 4 items
[0]
Gene symbol
[1]
Permutation P valuea,b
[2]
Hazard ratioa
[3]
Coefficient
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[0]
AK024680
[1]
5.47E-04
[2]
1.329
[3]
0.07826
[2] array · 4 items
[0]
AK123657
[1]
1.70E-05
[2]
0.713
[3]
−0.143
[3] array · 4 items
[0]
CR622106
[1]
1.23E-05
[2]
0.669
[3]
−0.19355
[4] array · 4 items
[0]
BX649059
[1]
5.71E-05
[2]
0.724
[3]
−0.00172
[5] array · 4 items
[0]
BX648207
[1]
1.46E-04
[2]
0.739
[3]
−0.20855
[6] array · 4 items
[0]
AK026784
[1]
1.99E-04
[2]
1.379
[3]
0.24326
locator
section[4]/table-wrap[1]#T1
[6] object · 16 fields
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asset:table:pmid:24809982:2
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table
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jats-table
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application/vnd.jats.table+json
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read_table
reader_status
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identifier
section[5]/table-wrap[1]#T2
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null
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Univariable and multivariable Cox regression analysis in each data set
structure object · 5 fields
pmcid
PMC4039159
section_index
5
section_title
The six-lncRNA signature and patients' survival in the test series
row_count
46
column_count
7
table object · 8 fields
label
Table 2
caption
Univariable and multivariable Cox regression analysis in each data set
rows array · 46 items
[0] array · 3 items
[0]
Variables
[1]
Univariable modela
[2]
Multivariable modela
[1] array · 7 items
[0]
[1]
HR
[2]
95% CI of HR
[3]
P value
[4]
HR
[5]
95% CI of HR
[6]
P value
[2] array · 6 items
[0]
GSE39582 test series(N=436)
[1]
[2]
[3]
[4]
[5]
[3] array · 7 items
[0]
Six-lncRNA risk score
[1]
2.717
[2]
2.005 to 3.682
[3]
<0.0001
[4]
2.353
[5]
1.723 to 3.214
[6]
<0.0001
[4] array · 7 items
[0]
Age
[1]
1
[2]
0.988 to 1.012
[3]
0.9588
[4]
1.005
[5]
0.992 to 1.018
[6]
0.4308
[5] array · 7 items
[0]
AJCC stage
[1]
[2]
[3]
[4]
[5]
[6]
[6] array · 7 items
[0]
1
[1]
1.00(referent)
[2]
[3]
[4]
1.00(referent)
[5]
[6]
[7] array · 7 items
[0]
2
[1]
5.749
[2]
0.793 to 41.661
[3]
0.0835
[4]
4.051
[5]
0.557to 29.452
[6]
0.1669
[8] array · 7 items
[0]
3
[1]
9.263
[2]
1.284 to 66.828
[3]
0.0273
[4]
6.07
[5]
0.837 to 44.028
[6]
0.0745
[9] array · 7 items
[0]
4
[1]
31.434
[2]
4.281 to 230.822
[3]
0.0007
[4]
20.837
[5]
2.813 to 154.324
[6]
0.003
[10] array · 7 items
[0]
Gender
[1]
1.337
[2]
0.955 to 1.871
[3]
0.0911
[4]
1.585
[5]
1.126 to 2.232
[6]
0.0082
[11] array · 6 items
[0]
GSE39582 valiation series(N=117)
[1]
[2]
[3]
[4]
[5]
[12] array · 7 items
[0]
Six-lncRNA risk score
[1]
2.271
[2]
1.424 to 3.622
[3]
0.0006
[4]
2.095
[5]
1.190 to 3.688
[6]
0.0103
[13] array · 7 items
[0]
Age
[1]
1.000
[2]
0.973 to 1.028
[3]
0.9815
[4]
1.02
[5]
0.987 to 1.054
[6]
0.2458
[14] array · 7 items
[0]
AJCC stage
[1]
[2]
[3]
[4]
[5]
[6]
[15] array · 7 items
[0]
1
[1]
1.00(referent)
[2]
[3]
[4]
1.00(referent)
[5]
[6]
[16] array · 7 items
[0]
2
[1]
2674096
[2]
0.000 to
[3]
0.9906
[4]
1994681
[5]
0.000 to
[6]
0.9916
[17] array · 7 items
[0]
3
[1]
9681475
[2]
0.000 to
[3]
0.9898
[4]
6897474
[5]
0.000 to
[6]
0.9909
[18] array · 7 items
[0]
4
[1]
1.57E+08
[2]
0.000 to
[3]
0.9880
[4]
1.52E+00
[5]
0.000 to
[6]
0.9891
[19] array · 7 items
[0]
Gender
[1]
1.060
[2]
0.543 to 2.073
[3]
0.8639
[4]
1.456
[5]
0.711 to 2.983
[6]
0.3044
[20] array · 6 items
[0]
Entire GSE39582 set(N=553)
[1]
[2]
[3]
[4]
[5]
[21] array · 7 items
[0]
Six-lncRNA risk score
[1]
2.565
[2]
1.992 to 3.302
[3]
<0.0001
[4]
2.221
[5]
1.703 to 2.896
[6]
<0.0001
[22] array · 7 items
[0]
Age
[1]
1.000
[2]
0.989 to 1.011
[3]
0.9544
[4]
1.007
[5]
0.995 to 1.019
[6]
0.2574
[23] array · 7 items
[0]
AJCC stage
[1]
[2]
[3]
[4]
[5]
[6]
[24] array · 7 items
[0]
1
[1]
1.00(referent)
[2]
[3]
[4]
1.00(referent)
[5]
[6]
[25] array · 7 items
[0]
2
[1]
7.717
[2]
1.069 to 55.692
[3]
0.0427
[4]
5.203
[5]
0.718 to 37.701
[6]
0.1026
[26] array · 7 items
[0]
3
[1]
14.808
[2]
2.061 to 106.413
[3]
0.0074
[4]
9.431
[5]
1.305 to 68.148
[6]
0.0262
[27] array · 7 items
[0]
4
[1]
52.841
[2]
7.232 to 386.063
[3]
<0.0001
[4]
33.045
[5]
4.621to 250.808
[6]
0.0005
[28] array · 7 items
[0]
Gender
[1]
1.271
[2]
0.941 to 1.717
[3]
0.1177
[4]
1.534
[5]
1.130 to 2.083
[6]
0.0061
[29] array · 6 items
[0]
GSE14333 set(N=197)
[1]
[2]
[3]
[4]
[5]
[30] array · 7 items
[0]
Six-lncRNA risk score
[1]
3.229
[2]
1.814 to 5.749
[3]
<0.0001
[4]
2.589
[5]
1.411 to 4.752
[6]
0.0021
[31] array · 7 items
[0]
Age
[1]
0.978
[2]
0.957 to 1
[3]
0.9544
[4]
0.991
[5]
0.968 to 1.015
[6]
0.4679
[32] array · 7 items
[0]
Duke stageb
[1]
[2]
[3]
[4]
[5]
[6]
[33] array · 7 items
[0]
A
[1]
1.00(referent)
[2]
[3]
[4]
1.00(referent)
[5]
[6]
[34] array · 7 items
[0]
B
[1]
2.927
[2]
0.665 to 12.889
[3]
0.1555
[4]
2.533
[5]
0.574 to 11.184
[6]
0.2200
[35] array · 7 items
[0]
C
[1]
6.897
[2]
1.639 to 29.025
[3]
0.0084
[4]
5.204
[5]
1.223 to 22.147
[6]
0.0256
[36] array · 7 items
[0]
Gender
[1]
1.118
[2]
0.612 to 2.042
[3]
0.7171
[4]
0.997
[5]
0.533 to 1.868
[6]
0.9935
[37] array · 6 items
[0]
GSE17536 set(N=145)
[1]
[2]
[3]
[4]
[5]
[38] array · 7 items
[0]
Six-lncRNA risk score
[1]
3.25
[2]
1.658 to 6.368
[3]
0.0006
[4]
2.892
[5]
1.407 to 5.944
[6]
0.0039
[39] array · 7 items
[0]
Age
[1]
0.984
[2]
0.961 to 1.007
[3]
0.1595
[4]
0.996
[5]
0.970 to 1.022
[6]
0.7465
[40] array · 7 items
[0]
AJCC stage
[1]
[2]
[3]
[4]
[5]
[6]
[41] array · 7 items
[0]
1
[1]
1.00(referent)
[2]
[3]
[4]
1.00(referent)
[5]
[6]
[42] array · 7 items
[0]
2
[1]
5.382
[2]
0.695 to 41.708
[3]
0.1071
[4]
4.66
[5]
0.591 to 36.756
[6]
0.1422
[43] array · 7 items
[0]
3
[1]
10.645
[2]
1.428 to 79.327
[3]
0.021
[4]
8.445
[5]
1.109 to 64.275
[6]
0.0394
[44] array · 7 items
[0]
4
[1]
14.655
[2]
1.637 to 131.184
[3]
0.0164
[4]
14.329
[5]
1.572 to 130.581
[6]
0.0184
[45] array · 7 items
[0]
Gender
[1]
1
[2]
0.520 to 1.925
[3]
1
[4]
0.986
[5]
0.482 to 2.019
[6]
0.9703
locator
section[5]/table-wrap[1]#T2
gaps array · 8 items
[0]
asset:data:geo:GSE14333 not downloaded
[1]
asset:data:geo:GSE14333 licence not read
[2]
asset:data:geo:GSE17536 not downloaded
[3]
asset:data:geo:GSE17536 licence not read
[4]
asset:data:geo:GSE39582 not downloaded
[5]
asset:data:geo:GSE39582 licence not read
[6]
asset:data:geo:GSE40966 not downloaded
[7]
asset:data:geo:GSE40966 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
The association between the lncRNA expression and patient's disease free survival (DFS) and disease specific survival (DSS) was assessed by univariable Cox regression analysis along with a permutation test using Biometric Research Branch-Array (BRB-Array) Tools [39].
[1] object · 10 fields
id
method-2
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
expressible
false
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
Mann-Whitney
[2] object · 10 fields
id
method-3
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
0.8
band
high
quote
Kaplan Meier
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[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
0.8
band
high
quote
log-rank
[4] object · 10 fields
id
method-5
family
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 · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
classification_metrics
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 · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE39582
[1]
GSE14333
[2]
GSE17536
[3]
GSE40966
resolved_accessions array · 4 items
[0]
GSE39582
[1]
GSE14333
[2]
GSE17536
[3]
GSE40966
statements array · 1 item
[0]
The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).
basis
The paper names GSE39582, GSE14333, GSE17536, GSE40966 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 4 items
[0]
source:pmid:24809982
[1]
data:geo:GSE14333
[2]
asset:table:pmid:24809982:1
[3]
asset:table:pmid:24809982:2
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
2026-10-31T18:22:16Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
8
usage object · 3 fields
prompt_tokens
95963
completion_tokens
4938
cached_tokens
72522
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:24809982
type
paper
label
pmid:24809982
[1] object · 3 fields
id
source:pmid:24809982
type
manuscript
label
PMID 24809982 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:24809982
type
paper
label
pmid:24809982
[1] object · 3 fields
id
source:pmid:24809982
type
manuscript
label
PMID 24809982 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-24809982
type
extraction
used array · 1 item
[0]
source:pmid:24809982
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:24809982
parent_hash
sha256:136b03618518539de5c053bce278902cd496773adc144e3a5aa9a1fffd526e3c
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE14333 licence not read
[1]
asset:data:geo:GSE14333 not downloaded
[2]
asset:data:geo:GSE17536 licence not read
[3]
asset:data:geo:GSE17536 not downloaded
[4]
asset:data:geo:GSE39582 licence not read
[5]
asset:data:geo:GSE39582 not downloaded
[6]
asset:data:geo:GSE40966 licence not read
[7]
asset:data:geo:GSE40966 not downloaded
[8]
execution.not_run
[9]
method.reader_differs_from_extractor
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
lysis in each data set MATERIALS AND METHODS Microarray data processing and lncRNA profile mining Th
[1]
A customized R scripts was used to perform a microarray expression calculation according to the re-m
order_basis
paper_text_order:3812
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
animal_model
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.69
evidence array · 1 item
[0]
o a database for non-coding RNA of human and mouse derived from RNAdb [37]. A customized R scri
order_basis
paper_text_order:4461
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The association between the lncRNA expression and patient's disease free survival (DFS) and disease specific survival (DSS) was assessed by univariable Cox regression analysis along with a permutation test using Biometric Research Branch-Array (BRB-Array) Tools [39].
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:24809982", "kind": "science-record", "revision": 7, "content_hash": "sha256:ccefd6f5ec859e123ab401980ac74b8fb1197d12d1cf913dc1b3a7fdc40eee40", "created_at": "2026-11-01T15:40:05Z", "updated_at": "2026-11-01T21:58:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A long non-coding RNA signature to improve prognosis prediction of colorectal cancer.", "doi": "10.18632/oncotarget.1895", "pmid": "24809982", "authors": ["Ye Hu", "Hao-Yan Chen", "Chen-Yang Yu", "Jie Xu", "Ji-Lin Wang", "Jin Qian", "Xi Zhang", "Jing-Yuan Fang"], "journal": "Oncotarget", "year": 2014, "abstract": "Increasing evidence suggests long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers, however, few related lncRNA signatures have been established for prediction of cancer prognosis. We aimed to develop a lncRNA signature to improve prognosis prediction of colorectal cancer (CRC). Using a lncRNA-mining approach, we performed lncRNA expression profiling in large CRC cohorts from Gene Expression Ominus (GEO), including GSE39582 test series(N=436), internal validation series (N=117); and two independent validation series GSE14333 (N=197) and GSE17536(N=145). We established a set of six lncRNAs that were significantly correlated with the disease free survival (DFS) in the test series. Based on this six-lncRNA signature, the test series patients could be classified into high-risk and low-risk subgroups with significantly different DFS (HR=2.670; P<0.0001). The prognostic value of this six-lncRNA signature was confirmed in the internal validation series and another two independent CRC sets. Gene set enrichment analysis (GSEA) analysis suggested that risk score positively correlated with several cancer metastasis related pathways. Functional experiments demonstrated three dysregulated lncRNAs, AK123657, BX648207 and BX649059 were required for efficient invasion and proliferation suppression in CRC cell lines. Our results might provide an efficient classification tool for clinical prognosis evaluation of CRC.", "claims": [{"id": "claim-method", "statement": "The association between the lncRNA expression and patient's disease free survival (DFS) and disease specific survival (DSS) was assessed by univariable Cox regression analysis along with a permutation test using Biometric Research Branch-Array (BRB-Array) Tools [39].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:24809982", "locator": "sections[15] \"Statistical analysis\" paragraph 2", "quote": "The association between the lncRNA expression and patient's disease free survival (DFS) and disease specific survival (DSS) was assessed by univariable Cox regression analysis along with a permutation test using Biometric Research Branch-Array (BRB-Array) Tools [39]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:24809982", "locator": "sections[24] \"Data sharing statement\" paragraph 2", "quote": "The gene expression data in this study can be found online at the Gene Expression Omnibus under accession numbers GSE39582(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582), GSE17536 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536),GSE14333(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333), GSE40966(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40966)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study used univariable and multivariable Cox proportional hazards regression, Kaplan–Meier analysis with log-rank tests, and GSEA; source microarray data and clinical data were obtained from the public GEO database, with prognostic lncRNAs selected in the GSE39582 test series and validated in internal and independent cohorts. 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"GSM1006100", "GSM1006101", "GSM1006102", "GSM1006103", "GSM1006104", "GSM1006105", "GSM1006106", "GSM1006107", "GSM1006108", "GSM1006109", "GSM1006110", "GSM1006111", "GSM1006112", "GSM1006113", "GSM1006114", "GSM1006115", "GSM1006116", "GSM1006117", "GSM1006118", "GSM1006119", "GSM1006120", "GSM1006121", "GSM1006122", "GSM1006123", "GSM1006124", "GSM1006125", "GSM1006126"], "sample_count": 463, "group_sizes": null, "group_sizes_basis": null, "platform": "16070", "taxon": "Homo sapiens", "title": "Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [CGH]", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:24809982:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:b2101c9adf9a3c35ad4ea4ee415eb44a2eead3a2402fd752624aac49f5037f76", "bytes": 579, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[1]#T1", "version": null, "note": "LncRNAs significantly associated with the disease free survival in the test series patients (N=436)", "structure": {"pmcid": "PMC4039159", "section_index": 4, "section_title": "Identification of prognostic lncRNAs from the test series", "row_count": 7, "column_count": 4}, "table": {"label": "Table 1", "caption": "LncRNAs significantly associated with the disease free survival in the test series patients (N=436)", "rows": [["Gene symbol", "Permutation P valuea,b", "Hazard ratioa", "Coefficient"], ["AK024680", "5.47E-04", "1.329", "0.07826"], ["AK123657", "1.70E-05", "0.713", "−0.143"], ["CR622106", "1.23E-05", "0.669", "−0.19355"], ["BX649059", "5.71E-05", "0.724", "−0.00172"], ["BX648207", "1.46E-04", "0.739", "−0.20855"], ["AK026784", "1.99E-04", "1.379", "0.24326"]], "row_count": 7, "column_count": 4, "numeric_cells": 24, "header_rows": 1, "locator": "section[4]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:24809982:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:19c2d4e889bc79b6af350bcb0f918e09adc684c7686f633b6601281cecd88225", "bytes": 3268, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[5]/table-wrap[1]#T2", "version": null, "note": "Univariable and multivariable Cox regression analysis in each data set", "structure": {"pmcid": "PMC4039159", "section_index": 5, "section_title": "The six-lncRNA signature and patients' survival in the test series", "row_count": 46, "column_count": 7}, "table": {"label": "Table 2", "caption": "Univariable and multivariable Cox regression analysis in each data set", "rows": [["Variables", "Univariable modela", "Multivariable modela"], ["", "HR", "95% CI of HR", "P value", "HR", "95% CI of HR", "P value"], ["GSE39582 test series(N=436)", "", "", "", "", ""], ["Six-lncRNA risk score", "2.717", "2.005 to 3.682", "<0.0001", "2.353", "1.723 to 3.214", "<0.0001"], ["Age", "1", "0.988 to 1.012", "0.9588", "1.005", "0.992 to 1.018", "0.4308"], ["AJCC stage", "", "", "", "", "", ""], ["1", "1.00(referent)", "", "", "1.00(referent)", "", ""], ["2", "5.749", "0.793 to 41.661", "0.0835", "4.051", "0.557to 29.452", "0.1669"], ["3", "9.263", "1.284 to 66.828", "0.0273", "6.07", "0.837 to 44.028", "0.0745"], ["4", "31.434", "4.281 to 230.822", "0.0007", "20.837", "2.813 to 154.324", "0.003"], ["Gender", "1.337", "0.955 to 1.871", "0.0911", "1.585", "1.126 to 2.232", "0.0082"], ["GSE39582 valiation series(N=117)", "", "", "", "", ""], ["Six-lncRNA risk score", "2.271", "1.424 to 3.622", "0.0006", "2.095", "1.190 to 3.688", "0.0103"], ["Age", "1.000", "0.973 to 1.028", "0.9815", "1.02", "0.987 to 1.054", "0.2458"], ["AJCC stage", "", "", "", "", "", ""], ["1", "1.00(referent)", "", "", "1.00(referent)", "", ""], ["2", "2674096", "0.000 to", "0.9906", "1994681", "0.000 to", "0.9916"], ["3", "9681475", "0.000 to", "0.9898", "6897474", "0.000 to", "0.9909"], ["4", "1.57E+08", "0.000 to", "0.9880", "1.52E+00", "0.000 to", "0.9891"], ["Gender", "1.060", "0.543 to 2.073", "0.8639", "1.456", "0.711 to 2.983", "0.3044"], ["Entire GSE39582 set(N=553)", "", "", "", "", ""], ["Six-lncRNA risk score", "2.565", "1.992 to 3.302", "<0.0001", "2.221", "1.703 to 2.896", "<0.0001"], ["Age", "1.000", "0.989 to 1.011", "0.9544", "1.007", "0.995 to 1.019", "0.2574"], ["AJCC stage", "", "", "", "", "", ""], ["1", "1.00(referent)", "", "", "1.00(referent)", "", ""], ["2", "7.717", "1.069 to 55.692", "0.0427", "5.203", "0.718 to 37.701", "0.1026"], ["3", "14.808", "2.061 to 106.413", "0.0074", "9.431", "1.305 to 68.148", "0.0262"], ["4", "52.841", "7.232 to 386.063", "<0.0001", "33.045", "4.621to 250.808", "0.0005"], ["Gender", "1.271", "0.941 to 1.717", "0.1177", "1.534", "1.130 to 2.083", "0.0061"], ["GSE14333 set(N=197)", "", "", "", "", ""], ["Six-lncRNA risk score", "3.229", "1.814 to 5.749", "<0.0001", "2.589", "1.411 to 4.752", "0.0021"], ["Age", "0.978", "0.957 to 1", "0.9544", "0.991", "0.968 to 1.015", "0.4679"], ["Duke stageb", "", "", "", "", "", ""], ["A", "1.00(referent)", "", "", "1.00(referent)", "", ""], ["B", "2.927", "0.665 to 12.889", "0.1555", "2.533", "0.574 to 11.184", "0.2200"], ["C", "6.897", "1.639 to 29.025", "0.0084", "5.204", "1.223 to 22.147", "0.0256"], ["Gender", "1.118", "0.612 to 2.042", "0.7171", "0.997", "0.533 to 1.868", "0.9935"], ["GSE17536 set(N=145)", "", "", "", "", ""], ["Six-lncRNA risk score", "3.25", "1.658 to 6.368", "0.0006", "2.892", "1.407 to 5.944", "0.0039"], ["Age", "0.984", "0.961 to 1.007", "0.1595", "0.996", "0.970 to 1.022", "0.7465"], ["AJCC stage", "", "", "", "", "", ""], ["1", "1.00(referent)", "", "", "1.00(referent)", "", ""], ["2", "5.382", "0.695 to 41.708", "0.1071", "4.66", "0.591 to 36.756", "0.1422"], ["3", "10.645", "1.428 to 79.327", "0.021", "8.445", "1.109 to 64.275", "0.0394"], ["4", "14.655", "1.637 to 131.184", "0.0164", "14.329", "1.572 to 130.581", "0.0184"], ["Gender", "1", "0.520 to 1.925", "1", "0.986", "0.482 to 2.019", "0.9703"]], "row_count": 46, "column_count": 7, "numeric_cells": 207, "header_rows": 2, "locator": "section[5]/table-wrap[1]#T2"}}], "gaps": ["asset:data:geo:GSE14333 not downloaded", "asset:data:geo:GSE14333 licence not read", "asset:data:geo:GSE17536 not downloaded", "asset:data:geo:GSE17536 licence not read", "asset:data:geo:GSE39582 not downloaded", "asset:data:geo:GSE39582 licence not read", "asset:data:geo:GSE40966 not downloaded", "asset:data:geo:GSE40966 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": 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