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pmid:29344121

A five-gene based risk score with high prognostic value in colorectal cancer.

Yida Pan · Hongyang Zhang · Mingming Zhang · Jie Zhu · Jianghong Yu · Bangting Wang · Jigang Qiu · Jun Zhang

Oncology letters · 2017 doi:10.3892/ol.2017.7097

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Experiment

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title
A five-gene based risk score with high prognostic value in colorectal cancer.
doi
10.3892/ol.2017.7097
pmid
29344121
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[0]
Yida Pan
[1]
Hongyang Zhang
[2]
Mingming Zhang
[3]
Jie Zhu
[4]
Jianghong Yu
[5]
Bangting Wang
[6]
Jigang Qiu
[7]
Jun Zhang
journal
Oncology letters
year
2017
abstract
Colorectal cancer (CRC) is one of the most frequently occurring malignancies worldwide. The outcomes of patients with similar clinical symptoms or at similar pathological stages remain unpredictable. This inherent clinical diversity is most likely due to the genetic heterogeneity. The present study aimed to create a predicting tool to evaluate patient survival based on genetic profile. Firstly, three Gene Expression Omnibus (GEO) datasets (GSE9348, GSE44076 and GSE44861) were utilized to identify and validate differentially expressed genes (DEGs) in CRC. The GSE14333 dataset containing survival information was then introduced in order to screen and verify prognosis-associated genes. Of the 66 DEGs, the present study screened out 46 biomarkers closely associated to patient overall survival. By Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, it was demonstrated that these genes participated in multiple biological processes which were highly associated with cancer proliferation, drug-resistance and metastasis, thus further affecting patient survival. The five most important genes, MET proto-oncogene, receptor tyrosine kinase, carboxypeptidase M, serine hydroxymethyltransferase 2, guanylate cyclase activator 2B and sodium voltage-gated channel a subunit 9 were selected by a random survival forests algorithm, and were further made up to a linear risk score formula by multivariable cox regression. Finally, the present study tested and verified this risk score within three independent GEO datasets (GSE14333, GSE17536 and GSE29621), and observed that patients with a high risk score had a lower overall survival (P<0.05). Furthermore, this risk score was the most significant compared with other predicting factors including age and American Joint Committee on Cancer stage, in the model, and was able to predict patient survival independently and directly. The findings suggest that this survival associated DEGs-based risk score is a powerful and accurate prognostic tool and is promisingly implemented in a clinical setting.
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Survival analysis was performed by Kaplan-Meier method and Mantel-Cox log-rank test was used to evaluate the statistical significance of the differences.
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Data which were not shown in this article could be archived by contacting the corresponding author.
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Using three GEO datasets for DEG identification and validation, followed by random survival forests and multivariable Cox regression, the study identified 66 DEGs, selected five prognostic genes, and found that the resulting risk score was associated with lower overall survival in high-risk patients (P<0.05).
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Finally, the present study tested and verified this risk score within three independent GEO datasets (GSE14333, GSE17536 and GSE29621), and observed that patients with a high risk score had a lower overall survival (P<0.05).
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Firstly, three Gene Expression Omnibus (GEO) datasets (GSE9348, GSE44076 and GSE44861) were utilized to identify and validate differentially expressed genes (DEGs) in CRC.
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The five most important genes, MET proto-oncogene, receptor tyrosine kinase, carboxypeptidase M, serine hydroxymethyltransferase 2, guanylate cyclase activator 2B and sodium voltage-gated channel a subunit 9 were selected by a random survival forests algorithm, and were further made up to a linear risk score formula by multivariable cox regression.
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sections[0] "Abstract" paragraph 1
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Finally, the present study tested and verified this risk score within three independent GEO datasets (GSE14333, GSE17536 and GSE29621), and observed that patients with a high risk score had a lower overall survival (P<0.05).
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Using three GEO datasets for DEG identification and validation, followed by random survival forests and multivariable Cox regression, the study identified 66 DEGs, selected five prognostic genes, and found that the resulting risk score was associated with lower overall survival in high-risk patients (P<0.05).
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GSM437244
[152]
GSM437245
[153]
GSM437246
[154]
GSM437247
[155]
GSM437248
[156]
GSM437249
[157]
GSM437250
[158]
GSM437251
[159]
GSM437252
[160]
GSM437253
[161]
GSM437254
[162]
GSM437255
[163]
GSM437256
[164]
GSM437257
[165]
GSM437258
[166]
GSM437259
[167]
GSM437260
[168]
GSM437261
[169]
GSM437262
[170]
GSM437263
[171]
GSM437264
[172]
GSM437265
[173]
GSM437266
[174]
GSM437267
[175]
GSM437268
[176]
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:GSE29621
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=GSE29621
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reader_status
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identifier
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version
null
note
Data which were not shown in this article could be archived by contacting the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data which were not shown in this article could be archived by contacting the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 65 items
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GSM734111
[1]
GSM734112
[2]
GSM734113
[3]
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[4]
GSM734115
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GSM734116
[6]
GSM734117
[7]
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GSM734119
[9]
GSM734120
[10]
GSM734121
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GSM734122
[12]
GSM734123
[13]
GSM734124
[14]
GSM734125
[15]
GSM734126
[16]
GSM734127
[17]
GSM734128
[18]
GSM734129
[19]
GSM734130
[20]
GSM734131
[21]
GSM734132
[22]
GSM734133
[23]
GSM734134
[24]
GSM734135
[25]
GSM734136
[26]
GSM734137
[27]
GSM734138
[28]
GSM734139
[29]
GSM734140
[30]
GSM734141
[31]
GSM734142
[32]
GSM734143
[33]
GSM734144
[34]
GSM734145
[35]
GSM734146
[36]
GSM734147
[37]
GSM734148
[38]
GSM734149
[39]
GSM734150
[40]
GSM734151
[41]
GSM734152
[42]
GSM734153
[43]
GSM734154
[44]
GSM734155
[45]
GSM734156
[46]
GSM734157
[47]
GSM734158
[48]
GSM734159
[49]
GSM734160
[50]
GSM734161
[51]
GSM734162
[52]
GSM734163
[53]
GSM734164
[54]
GSM734165
[55]
GSM734166
[56]
GSM734167
[57]
GSM734168
[58]
GSM734169
[59]
GSM734170
[60]
GSM734171
[61]
GSM734172
[62]
GSM734173
[63]
GSM734174
[64]
GSM734175
sample_count
65
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
mRNA and microRNA profile in colon cancer [mRNA data]
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE44076
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=GSE44076
sha256
null
bytes
null
access
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state
resolved
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reader_status
reader_required
identifier
GSE44076
version
null
note
Data which were not shown in this article could be archived by contacting the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data which were not shown in this article could be archived by contacting the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 246 items
[0]
GSM1077598
[1]
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[2]
GSM1077600
[3]
GSM1077601
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GSM1077602
[5]
GSM1077603
[6]
GSM1077604
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GSM1077605
[8]
GSM1077606
[9]
GSM1077607
[10]
GSM1077608
[11]
GSM1077609
[12]
GSM1077610
[13]
GSM1077611
[14]
GSM1077612
[15]
GSM1077613
[16]
GSM1077614
[17]
GSM1077615
[18]
GSM1077616
[19]
GSM1077617
[20]
GSM1077618
[21]
GSM1077619
[22]
GSM1077620
[23]
GSM1077621
[24]
GSM1077622
[25]
GSM1077623
[26]
GSM1077624
[27]
GSM1077625
[28]
GSM1077626
[29]
GSM1077627
[30]
GSM1077628
[31]
GSM1077629
[32]
GSM1077630
[33]
GSM1077631
[34]
GSM1077632
[35]
GSM1077633
[36]
GSM1077634
[37]
GSM1077635
[38]
GSM1077636
[39]
GSM1077637
[40]
GSM1077638
[41]
GSM1077639
[42]
GSM1077640
[43]
GSM1077641
[44]
GSM1077642
[45]
GSM1077643
[46]
GSM1077644
[47]
GSM1077645
[48]
GSM1077646
[49]
GSM1077647
[50]
GSM1077648
[51]
GSM1077649
[52]
GSM1077650
[53]
GSM1077651
[54]
GSM1077652
[55]
GSM1077653
[56]
GSM1077654
[57]
GSM1077655
[58]
GSM1077656
[59]
GSM1077657
[60]
GSM1077658
[61]
GSM1077659
[62]
GSM1077660
[63]
GSM1077661
[64]
GSM1077662
[65]
GSM1077663
[66]
GSM1077664
[67]
GSM1077665
[68]
GSM1077666
[69]
GSM1077667
[70]
GSM1077668
[71]
GSM1077669
[72]
GSM1077670
[73]
GSM1077671
[74]
GSM1077672
[75]
GSM1077673
[76]
GSM1077674
[77]
GSM1077675
[78]
GSM1077676
[79]
GSM1077677
[80]
GSM1077678
[81]
GSM1077679
[82]
GSM1077680
[83]
GSM1077681
[84]
GSM1077682
[85]
GSM1077683
[86]
GSM1077684
[87]
GSM1077685
[88]
GSM1077686
[89]
GSM1077687
[90]
GSM1077688
[91]
GSM1077689
[92]
GSM1077690
[93]
GSM1077691
[94]
GSM1077692
[95]
GSM1077693
[96]
GSM1077694
[97]
GSM1077695
[98]
GSM1077696
[99]
GSM1077697
[100]
GSM1077698
[101]
GSM1077699
[102]
GSM1077700
[103]
GSM1077701
[104]
GSM1077702
[105]
GSM1077703
[106]
GSM1077704
[107]
GSM1077705
[108]
GSM1077706
[109]
GSM1077707
[110]
GSM1077708
[111]
GSM1077709
[112]
GSM1077710
[113]
GSM1077711
[114]
GSM1077712
[115]
GSM1077713
[116]
GSM1077714
[117]
GSM1077715
[118]
GSM1077716
[119]
GSM1077717
[120]
GSM1077718
[121]
GSM1077719
[122]
GSM1077720
[123]
GSM1077721
[124]
GSM1077722
[125]
GSM1077723
[126]
GSM1077724
[127]
GSM1077725
[128]
GSM1077726
[129]
GSM1077727
[130]
GSM1077728
[131]
GSM1077729
[132]
GSM1077730
[133]
GSM1077731
[134]
GSM1077732
[135]
GSM1077733
[136]
GSM1077734
[137]
GSM1077735
[138]
GSM1077736
[139]
GSM1077737
[140]
GSM1077738
[141]
GSM1077739
[142]
GSM1077740
[143]
GSM1077741
[144]
GSM1077742
[145]
GSM1077743
[146]
GSM1077744
[147]
GSM1077745
[148]
GSM1077746
[149]
GSM1077747
[150]
GSM1077748
[151]
GSM1077749
[152]
GSM1077750
[153]
GSM1077751
[154]
GSM1077752
[155]
GSM1077753
[156]
GSM1077754
[157]
GSM1077755
[158]
GSM1077756
[159]
GSM1077757
[160]
GSM1077758
[161]
GSM1077759
[162]
GSM1077760
[163]
GSM1077761
[164]
GSM1077762
[165]
GSM1077763
[166]
GSM1077764
[167]
GSM1077765
[168]
GSM1077766
[169]
GSM1077767
[170]
GSM1077768
[171]
GSM1077769
[172]
GSM1077770
[173]
GSM1077771
[174]
GSM1077772
[175]
GSM1077773
[176]
GSM1077774
[177]
GSM1077775
[178]
GSM1077776
[179]
GSM1077777
[180]
GSM1077778
[181]
GSM1077779
[182]
GSM1077780
[183]
GSM1077781
[184]
GSM1077782
[185]
GSM1077783
[186]
GSM1077784
[187]
GSM1077785
[188]
GSM1077786
[189]
GSM1077787
[190]
GSM1077788
[191]
GSM1077789
[192]
GSM1077790
[193]
GSM1077791
[194]
GSM1077792
[195]
GSM1077793
[196]
GSM1077794
[197]
GSM1077795
[198]
GSM1077796
[199]
GSM1077797
[200]
GSM1077798
[201]
GSM1077799
[202]
GSM1077800
[203]
GSM1077801
[204]
GSM1077802
[205]
GSM1077803
[206]
GSM1077804
[207]
GSM1077805
[208]
GSM1077806
[209]
GSM1077807
[210]
GSM1077808
[211]
GSM1077809
[212]
GSM1077810
[213]
GSM1077811
[214]
GSM1077812
[215]
GSM1077813
[216]
GSM1077814
[217]
GSM1077815
[218]
GSM1077816
[219]
GSM1077817
[220]
GSM1077818
[221]
GSM1077819
[222]
GSM1077820
[223]
GSM1077821
[224]
GSM1077822
[225]
GSM1077823
[226]
GSM1077824
[227]
GSM1077825
[228]
GSM1077826
[229]
GSM1077827
[230]
GSM1077828
[231]
GSM1077829
[232]
GSM1077830
[233]
GSM1077831
[234]
GSM1077832
[235]
GSM1077833
[236]
GSM1077834
[237]
GSM1077835
[238]
GSM1077836
[239]
GSM1077837
[240]
GSM1077838
[241]
GSM1077839
[242]
GSM1077840
[243]
GSM1077841
[244]
GSM1077842
[245]
GSM1077843
sample_count
246
group_sizes
null
group_sizes_basis
null
platform
13667
taxon
Homo sapiens
title
Gene expression data from healthy, adjacent normal and tumor colon cells
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE44861
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=GSE44861
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE44861
version
null
note
Data which were not shown in this article could be archived by contacting the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data which were not shown in this article could be archived by contacting the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 111 items
[0]
GSM1092909
[1]
GSM1092910
[2]
GSM1092911
[3]
GSM1092912
[4]
GSM1092913
[5]
GSM1092914
[6]
GSM1092915
[7]
GSM1092916
[8]
GSM1092917
[9]
GSM1092918
[10]
GSM1092919
[11]
GSM1092920
[12]
GSM1092921
[13]
GSM1092922
[14]
GSM1092923
[15]
GSM1092924
[16]
GSM1092925
[17]
GSM1092926
[18]
GSM1092927
[19]
GSM1092928
[20]
GSM1092929
[21]
GSM1092930
[22]
GSM1092931
[23]
GSM1092932
[24]
GSM1092933
[25]
GSM1092934
[26]
GSM1092935
[27]
GSM1092936
[28]
GSM1092937
[29]
GSM1092938
[30]
GSM1092939
[31]
GSM1092940
[32]
GSM1092941
[33]
GSM1092942
[34]
GSM1092943
[35]
GSM1092944
[36]
GSM1092945
[37]
GSM1092946
[38]
GSM1092947
[39]
GSM1092948
[40]
GSM1092949
[41]
GSM1092950
[42]
GSM1092951
[43]
GSM1092952
[44]
GSM1092953
[45]
GSM1092954
[46]
GSM1092955
[47]
GSM1092956
[48]
GSM1092957
[49]
GSM1092958
[50]
GSM1092959
[51]
GSM1092960
[52]
GSM1092961
[53]
GSM1092962
[54]
GSM1092963
[55]
GSM1092964
[56]
GSM1092965
[57]
GSM1092966
[58]
GSM1092967
[59]
GSM1092968
[60]
GSM1092969
[61]
GSM1092970
[62]
GSM1092971
[63]
GSM1092972
[64]
GSM1092973
[65]
GSM1092974
[66]
GSM1092975
[67]
GSM1092976
[68]
GSM1092977
[69]
GSM1092978
[70]
GSM1092979
[71]
GSM1092980
[72]
GSM1092981
[73]
GSM1092982
[74]
GSM1092983
[75]
GSM1092984
[76]
GSM1092985
[77]
GSM1092986
[78]
GSM1092987
[79]
GSM1092988
[80]
GSM1092989
[81]
GSM1092990
[82]
GSM1092991
[83]
GSM1092992
[84]
GSM1092993
[85]
GSM1092994
[86]
GSM1092995
[87]
GSM1092996
[88]
GSM1092997
[89]
GSM1092998
[90]
GSM1092999
[91]
GSM1093000
[92]
GSM1093001
[93]
GSM1093002
[94]
GSM1093003
[95]
GSM1093004
[96]
GSM1093005
[97]
GSM1093006
[98]
GSM1093007
[99]
GSM1093008
[100]
GSM1093009
[101]
GSM1093010
[102]
GSM1093011
[103]
GSM1093012
[104]
GSM1093013
[105]
GSM1093014
[106]
GSM1093015
[107]
GSM1093016
[108]
GSM1093017
[109]
GSM1093018
[110]
GSM1093019
sample_count
111
group_sizes
null
group_sizes_basis
null
platform
3921
taxon
Homo sapiens
title
Affymetrix expression data from colon cancer patient tissues
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE9348
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=GSE9348
sha256
null
bytes
null
access
open
state
resolved
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null
reader_status
reader_required
identifier
GSE9348
version
null
note
Data which were not shown in this article could be archived by contacting the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data which were not shown in this article could be archived by contacting the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 82 items
[0]
GSM237914
[1]
GSM237915
[2]
GSM237916
[3]
GSM237917
[4]
GSM237918
[5]
GSM237919
[6]
GSM237920
[7]
GSM237921
[8]
GSM237922
[9]
GSM237923
[10]
GSM237924
[11]
GSM237925
[12]
GSM237926
[13]
GSM237927
[14]
GSM237928
[15]
GSM237929
[16]
GSM237930
[17]
GSM237931
[18]
GSM237932
[19]
GSM237933
[20]
GSM237934
[21]
GSM237935
[22]
GSM237936
[23]
GSM237937
[24]
GSM237938
[25]
GSM237939
[26]
GSM237940
[27]
GSM237941
[28]
GSM237942
[29]
GSM237943
[30]
GSM237944
[31]
GSM237945
[32]
GSM237946
[33]
GSM237947
[34]
GSM237948
[35]
GSM237949
[36]
GSM237950
[37]
GSM237951
[38]
GSM237952
[39]
GSM237953
[40]
GSM237954
[41]
GSM237955
[42]
GSM237956
[43]
GSM237957
[44]
GSM237958
[45]
GSM237959
[46]
GSM237960
[47]
GSM237961
[48]
GSM237962
[49]
GSM237963
[50]
GSM237964
[51]
GSM237965
[52]
GSM237966
[53]
GSM237967
[54]
GSM237968
[55]
GSM237969
[56]
GSM237970
[57]
GSM237971
[58]
GSM237972
[59]
GSM237973
[60]
GSM237974
[61]
GSM237975
[62]
GSM237976
[63]
GSM237977
[64]
GSM237978
[65]
GSM237979
[66]
GSM237980
[67]
GSM237981
[68]
GSM237982
[69]
GSM237983
[70]
GSM237984
[71]
GSM237985
[72]
GSM237986
[73]
GSM237987
[74]
GSM237988
[75]
GSM237989
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GSM237990
[77]
GSM237991
[78]
GSM237992
[79]
GSM237993
[80]
GSM237994
[81]
GSM237995
sample_count
82
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from healthy controls and early stage CRC patient's tumor
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 16 fields
id
asset:table:pmid:29344121:1
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table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:3ca17d26e464584451e45d47e4a7743adb6dbd72be0b1a35a68326db82679d50
bytes
1527
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read_table
reader_status
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identifier
section[10]/table-wrap[1]#tI-ol-0-0-7097
version
null
note
Survival related DEGs by univariable cox proportional hazards regression analysis.
structure object · 5 fields
pmcid
PMC5754913
section_index
10
section_title
Identification of DEGs between cancerous and non-cancerous tissues
row_count
24
column_count
6
table object · 8 fields
label
Table I.
caption
Survival related DEGs by univariable cox proportional hazards regression analysis.
rows array · 24 items
[0] array · 6 items
[0]
Gene
[1]
P-value
[2]
HR
[3]
Gene
[4]
P-value
[5]
HR
[1] array · 6 items
[0]
LOC339166
[1]
<1e-07
[2]
7.748
[3]
MYC
[4]
7E-07
[5]
0.581
[2] array · 6 items
[0]
SCN9A
[1]
<1e-07
[2]
0.154
[3]
SQRDL
[4]
7E-07
[5]
0.513
[3] array · 6 items
[0]
LGI1
[1]
<1e-07
[2]
0.115
[3]
SHMT2
[4]
0.000001
[5]
0.509
[4] array · 6 items
[0]
P2RY1
[1]
<1e-07
[2]
3.592
[3]
PDE6A
[4]
2.1E-06
[5]
2.229
[5] array · 6 items
[0]
PRPF4
[1]
<1e-07
[2]
0.245
[3]
UGDH
[4]
2.3E-06
[5]
1.792
[6] array · 6 items
[0]
GUCA2B
[1]
<1e-07
[2]
1.688
[3]
PTPRH
[4]
2.5E-06
[5]
1.733
[7] array · 6 items
[0]
ENOX2
[1]
<1e-07
[2]
0.193
[3]
PPP2R3A
[4]
8.4E-06
[5]
2.19
[8] array · 6 items
[0]
NPY
[1]
<1e-07
[2]
4.787
[3]
HSPH1
[4]
2.62E-05
[5]
1.61
[9] array · 6 items
[0]
SCGN
[1]
<1e-07
[2]
2.266
[3]
NR5A2
[4]
3.16E-05
[5]
0.585
[10] array · 6 items
[0]
TMEM9B
[1]
<1e-07
[2]
3.445
[3]
TRIP13
[4]
3.21E-05
[5]
0.631
[11] array · 6 items
[0]
RNASEH2A
[1]
<1e-07
[2]
0.438
[3]
CPM
[4]
6.06E-05
[5]
0.498
[12] array · 6 items
[0]
HSD11B2
[1]
<1e-07
[2]
0.647
[3]
DUSP14
[4]
0.000183
[5]
0.54
[13] array · 6 items
[0]
DENND2A
[1]
<1e-07
[2]
0.299
[3]
RCL1
[4]
0.000274
[5]
0.415
[14] array · 6 items
[0]
ASPA
[1]
<1e-07
[2]
3.507
[3]
ETV4
[4]
0.000396
[5]
0.672
[15] array · 6 items
[0]
CA7
[1]
<1e-07
[2]
2.626
[3]
SEMA6D
[4]
0.000472
[5]
1.9
[16] array · 6 items
[0]
LPHN3
[1]
<1e-07
[2]
0.247
[3]
HOMER1
[4]
0.000475
[5]
0.666
[17] array · 6 items
[0]
ABCG2
[1]
<1e-07
[2]
1.497
[3]
CCND1
[4]
0.000522
[5]
1.584
[18] array · 6 items
[0]
GALNT6
[1]
<1e-07
[2]
0.588
[3]
METTL7A
[4]
0.000543
[5]
2.012
[19] array · 6 items
[0]
PTGDR
[1]
<1e-07
[2]
0.336
[3]
MET
[4]
0.000577
[5]
1.528
[20] array · 6 items
[0]
TST
[1]
<1e-07
[2]
0.497
[3]
CWH43
[4]
0.0006
[5]
0.699
[21] array · 6 items
[0]
SMPDL3A
[1]
1E-07
[2]
0.428
[3]
DHRS11
[4]
0.000607
[5]
0.748
[22] array · 6 items
[0]
HSD17B11
[1]
1E-07
[2]
2.087
[3]
UGP2
[4]
0.000701
[5]
1.977
[23] array · 6 items
[0]
ETFDH
[1]
3E-07
[2]
0.549
[3]
SLC22A18AS
[4]
0.000812
[5]
0.558
locator
section[10]/table-wrap[1]#tI-ol-0-0-7097
[8] object · 16 fields
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asset:table:pmid:29344121:2
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table
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jats-table
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sha256:62e6abdfaa050d25dda06a0016471ac0b6fe89086776477ba108908d8cf4b596
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section[11]/table-wrap[1]#tII-ol-0-0-7097
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note
GO analysis and KEGG pathway analysis of 46 survival related-DEGs (partial data).
structure object · 5 fields
pmcid
PMC5754913
section_index
11
section_title
Validation of DEGs in independent CRC datasets
row_count
41
column_count
4
table object · 8 fields
label
Table II.
caption
GO analysis and KEGG pathway analysis of 46 survival related-DEGs (partial data).
rows array · 41 items
[0] array · 4 items
[0]
Genes
[1]
Hyp
[2]
Hypa
[3]
Annotations
[1] array · 4 items
[0]
Biological process
[1]
[2]
[3]
[2] array · 4 items
[0]
5
[1]
4.7E-05
[2]
0.00408
[3]
GO:0042493: Response to drug (BP)
[3] array · 4 items
[0]
4
[1]
0.00079
[2]
0.02956
[3]
GO:0008152: Metabolic process (BP)
[4] array · 4 items
[0]
3
[1]
0.00804
[2]
0.03142
[3]
GO:0008283: Cell proliferation (BP)
[5] array · 4 items
[0]
3
[1]
0.00769
[2]
0.03249
[3]
GO:0007411: Axon guidance (BP)
[6] array · 4 items
[0]
3
[1]
0.01192
[2]
0.0359
[3]
GO:0008284: Positive regulation of cell proliferation (BP)
[7] array · 4 items
[0]
3
[1]
0.02362
[2]
0.04835
[3]
GO:0045893: Positive regulation of transcription, DNA-dependent (BP)
[8] array · 4 items
[0]
Molecular function
[1]
[2]
[3]
[9] array · 4 items
[0]
13
[1]
0.00391
[2]
0.02429
[3]
GO:0005515: Protein binding (MF)
[10] array · 4 items
[0]
7
[1]
1.6E-06
[2]
0.00019
[3]
GO:0016491: Oxidoreductase activity (MF)
[11] array · 4 items
[0]
7
[1]
0.01988
[2]
0.04888
[3]
GO:0000166: Nucleotide binding (MF)
[12] array · 4 items
[0]
6
[1]
0.01607
[2]
0.0431
[3]
GO:0004872: Receptor activity (MF)
[13] array · 4 items
[0]
5
[1]
0.00871
[2]
0.03213
[3]
GO:0016787: Hydrolase activity (MF)
[14] array · 4 items
[0]
4
[1]
0.00865
[2]
0.03294
[3]
GO:0016740: Transferase activity (MF)
[15] array · 4 items
[0]
4
[1]
0.01535
[2]
0.04312
[3]
GO:0004930: G-protein coupled receptor activity (MF)
[16] array · 4 items
[0]
Cellular component
[1]
[2]
[3]
[17] array · 4 items
[0]
15
[1]
0.00234
[2]
0.03334
[3]
GO:0005737: Cytoplasm (CC)
[18] array · 4 items
[0]
13
[1]
0.00169
[2]
0.03219
[3]
GO:0016020: Membrane (CC)
[19] array · 4 items
[0]
11
[1]
0.00562
[2]
0.03205
[3]
GO:0005886: Plasma membrane (CC)
[20] array · 4 items
[0]
9
[1]
0.00075
[2]
0.02125
[3]
GO:0005576: Extracellular region (CC)
[21] array · 4 items
[0]
7
[1]
0.0028
[2]
0.02656
[3]
GO:0005730: Nucleolus (CC)
[22] array · 4 items
[0]
6
[1]
0.00948
[2]
0.04156
[3]
GO:0005739: Mitochondrion (CC)
[23] array · 4 items
[0]
5
[1]
0.00357
[2]
0.02911
[3]
GO:0005615: Extracellular space (CC)
[24] array · 4 items
[0]
4
[1]
0.00072
[2]
0.04092
[3]
GO:0005743: Mitochondrial inner membrane (CC)
[25] array · 4 items
[0]
3
[1]
0.00236
[2]
0.02696
[3]
GO:0005759: Mitochondrial matrix (CC)
[26] array · 4 items
[0]
KEGG pathway
[1]
[2]
[3]
[27] array · 4 items
[0]
3
[1]
0.0089
[2]
0.0411
[3]
(KEGG) 05200: Pathways in cancer
[28] array · 4 items
[0]
2
[1]
0.00215
[2]
0.02152
[3]
(KEGG) 05213: Endometrial cancer
[29] array · 4 items
[0]
2
[1]
0.00258
[2]
0.02211
[3]
(KEGG) 05221: Acute myeloid leukemia
[30] array · 4 items
[0]
2
[1]
0.00304
[2]
0.02282
[3]
(KEGG) 05210: Colorectal cancer
[31] array · 4 items
[0]
2
[1]
0.00077
[2]
0.02304
[3]
(KEGG) 00040: Pentose and glucuronate interconversions
[32] array · 4 items
[0]
2
[1]
0.00207
[2]
0.02485
[3]
(KEGG) 00500: Starch and sucrose metabolism
[33] array · 4 items
[0]
2
[1]
0.00419
[2]
0.02514
[3]
(KEGG) 05220: Chronic myeloid leukemia
[34] array · 4 items
[0]
2
[1]
0.00386
[2]
0.02574
[3]
(KEGG) 05218: Melanoma
[35] array · 4 items
[0]
2
[1]
0.00184
[2]
0.02755
[3]
(KEGG) 00520: Amino sugar and nucleotide sugar metabolism
[36] array · 4 items
[0]
2
[1]
0.00141
[2]
0.02818
[3]
(KEGG) 05219: Bladder cancer
[37] array · 4 items
[0]
2
[1]
0.00551
[2]
0.03004
[3]
(KEGG) 05222: Small cell lung cancer
[38] array · 4 items
[0]
2
[1]
0.00063
[2]
0.03755
[3]
(KEGG) 05216: Thyroid cancer
[39] array · 4 items
[0]
2
[1]
0.01148
[2]
0.04919
[3]
(KEGG) 04110: Cell cycle
[40] array · 4 items
[0]
2
[1]
0.01238
[2]
0.04953
[3]
(KEGG) 04360: Axon guidance
locator
section[11]/table-wrap[1]#tII-ol-0-0-7097
[9] object · 16 fields
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asset:table:pmid:29344121:3
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table
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jats-table
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application/vnd.jats.table+json
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section[12]/table-wrap[1]#tIII-ol-0-0-7097
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null
note
Multivariable and univariable model tests of risk score and other factors.
structure object · 5 fields
pmcid
PMC5754913
section_index
12
section_title
Survival analysis of DEGs in CRC and their function annotation
row_count
39
column_count
9
table object · 8 fields
label
Table III.
caption
Multivariable and univariable model tests of risk score and other factors.
rows array · 39 items
[0] array · 1 item
[0]
A, GSE14333
[1] array · 1 item
[0]
[2] array · 3 items
[0]
[1]
Multivariable model
[2]
Univariable model
[3] array · 3 items
[0]
[1]
[2]
[4] array · 9 items
[0]
Variables
[1]
HR
[2]
95% CI of HR
[3]
[4]
P-value
[5]
HR
[6]
95% CI of HR
[7]
[8]
P-value
[5] array · 9 items
[0]
Risk score
[1]
2.346
[2]
1.298
[3]
4.241
[4]
0.005
[5]
2.718
[6]
1.523
[7]
4.851
[8]
0.001
[6] array · 9 items
[0]
Location
[1]
0.965
[2]
0.814
[3]
1.144
[4]
0.683
[5]
0.892
[6]
0.76
[7]
1.047
[8]
0.163
[7] array · 9 items
[0]
Dukes stage
[1]
1.18
[2]
0.926
[3]
1.503
[4]
0.18
[5]
1.044
[6]
0.86
[7]
1.266
[8]
0.666
[8] array · 9 items
[0]
Age of diagnosis
[1]
1.008
[2]
0.994
[3]
1.023
[4]
0.257
[5]
1.105
[6]
1.002
[7]
1.028
[8]
0.02
[9] array · 9 items
[0]
Sex
[1]
0.926
[2]
0.683
[3]
1.255
[4]
0.62
[5]
0.877
[6]
0.651
[7]
1.182
[8]
0.39
[10] array · 9 items
[0]
Adj XRT
[1]
0.463
[2]
0.218
[3]
0.984
[4]
0.045
[5]
0.433
[6]
0.212
[7]
0.884
[8]
0.021
[11] array · 9 items
[0]
Adj CTX
[1]
0.867
[2]
0.568
[3]
1.325
[4]
0.51
[5]
0.847
[6]
0.618
[7]
1.16
[8]
0.3
[12] array · 1 item
[0]
[13] array · 1 item
[0]
B, GSE17536
[14] array · 1 item
[0]
[15] array · 3 items
[0]
[1]
Multivariable model
[2]
Univariable model
[16] array · 3 items
[0]
[1]
[2]
[17] array · 9 items
[0]
Variables
[1]
HR
[2]
95% CI of HR
[3]
[4]
P-value
[5]
HR
[6]
95% CI of HR
[7]
[8]
P-value
[18] array · 1 item
[0]
[19] array · 9 items
[0]
Risk score
[1]
2.745
[2]
1.204
[3]
6.262
[4]
0.016
[5]
3.283
[6]
1.489
[7]
7.236
[8]
0.003
[20] array · 9 items
[0]
Age
[1]
1.015
[2]
0.999
[3]
1.031
[4]
0.061
[5]
1.018
[6]
1.003
[7]
1.034
[8]
0.016
[21] array · 9 items
[0]
Sex
[1]
1.084
[2]
0.747
[3]
1.572
[4]
0.672
[5]
0.953
[6]
0.666
[7]
1.362
[8]
0.79
[22] array · 9 items
[0]
Ethnicity
[1]
0.967
[2]
0.728
[3]
1.284
[4]
0.817
[5]
0.915
[6]
0.685
[7]
1.221
[8]
0.545
[23] array · 9 items
[0]
AJCC stage
[1]
1.107
[2]
0.892
[3]
1.373
[4]
0.357
[5]
1.051
[6]
0.861
[7]
1.284
[8]
0.625
[24] array · 9 items
[0]
Grade
[1]
1.254
[2]
0.828
[3]
1.898
[4]
0.285
[5]
1.375
[6]
0.924
[7]
2.045
[8]
0.116
[25] array · 1 item
[0]
[26] array · 1 item
[0]
C, GSE29621
[27] array · 1 item
[0]
[28] array · 3 items
[0]
[1]
Multivariable model
[2]
Univariable model
[29] array · 3 items
[0]
[1]
[2]
[30] array · 9 items
[0]
Variables
[1]
HR
[2]
95% CI of HR
[3]
[4]
P-value
[5]
HR
[6]
95% CI of HR
[7]
[8]
P-value
[31] array · 1 item
[0]
[32] array · 9 items
[0]
Risk score
[1]
9.03
[2]
1.425
[3]
57.223
[4]
0.019
[5]
2.526
[6]
0.481
[7]
13.269
[8]
2.73E-05
[33] array · 9 items
[0]
Sex
[1]
1.243
[2]
0.513
[3]
3.014
[4]
0.63
[5]
1.508
[6]
0.649
[7]
3.505
[8]
0.34
[34] array · 9 items
[0]
T stage
[1]
0.449
[2]
0.091
[3]
2.209
[4]
0.325
[5]
1.048
[6]
0.438
[7]
2.509
[8]
0.915
[35] array · 9 items
[0]
N stage
[1]
1.583
[2]
0.604
[3]
4.143
[4]
0.35
[5]
2.688
[6]
1.526
[7]
4.734
[8]
0.001
[36] array · 9 items
[0]
M stage
[1]
2.065
[2]
0.368
[3]
11.592
[4]
0.41
[5]
4.934
[6]
2.188
[7]
11.124
[8]
1.19E-04
[37] array · 9 items
[0]
Histology grade
[1]
0.849
[2]
0.325
[3]
2.219
[4]
0.738
[5]
0.665
[6]
0.284
[7]
1.558
[8]
0.348
[38] array · 9 items
[0]
AJCC stage
[1]
1.965
[2]
0.518
[3]
7.45
[4]
0.321
[5]
2.708
[6]
1.615
[7]
4.542
[8]
1.59E-04
locator
section[12]/table-wrap[1]#tIII-ol-0-0-7097
[10] object · 16 fields
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asset:table:pmid:29344121:4
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jats-table
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section[12]/table-wrap[2]#tIV-ol-0-0-7097
version
null
note
GO analysis and KEGG pathway analysis of 46 survival related-DEGs (partial data).
structure object · 5 fields
pmcid
PMC5754913
section_index
12
section_title
Survival analysis of DEGs in CRC and their function annotation
row_count
41
column_count
4
table object · 8 fields
label
Table IV.
caption
GO analysis and KEGG pathway analysis of 46 survival related-DEGs (partial data).
rows array · 41 items
[0] array · 4 items
[0]
Genes
[1]
Hyp
[2]
Hypa
[3]
Annotations
[1] array · 4 items
[0]
Biological process
[1]
[2]
[3]
[2] array · 4 items
[0]
5
[1]
4.7E-05
[2]
0.00408
[3]
GO:0042493: Response to drug (BP)
[3] array · 4 items
[0]
4
[1]
0.00079
[2]
0.02956
[3]
GO:0008152: Metabolic process (BP)
[4] array · 4 items
[0]
3
[1]
0.00804
[2]
0.03142
[3]
GO:0008283: Cell proliferation (BP)
[5] array · 4 items
[0]
3
[1]
0.00769
[2]
0.03249
[3]
GO:0007411: Axon guidance (BP)
[6] array · 4 items
[0]
3
[1]
0.01192
[2]
0.0359
[3]
GO:0008284: Positive regulation of cell proliferation (BP)
[7] array · 4 items
[0]
3
[1]
0.02362
[2]
0.04835
[3]
GO:0045893: Positive regulation of transcription, DNA-dependent (BP)
[8] array · 4 items
[0]
Molecular function
[1]
[2]
[3]
[9] array · 4 items
[0]
13
[1]
0.00391
[2]
0.02429
[3]
GO:0005515: Protein binding (MF)
[10] array · 4 items
[0]
7
[1]
1.6E-06
[2]
0.00019
[3]
GO:0016491: Oxidoreductase activity (MF)
[11] array · 4 items
[0]
7
[1]
0.01988
[2]
0.04888
[3]
GO:0000166: Nucleotide binding (MF)
[12] array · 4 items
[0]
6
[1]
0.01607
[2]
0.0431
[3]
GO:0004872: Receptor activity (MF)
[13] array · 4 items
[0]
5
[1]
0.00871
[2]
0.03213
[3]
GO:0016787: Hydrolase activity (MF)
[14] array · 4 items
[0]
4
[1]
0.00865
[2]
0.03294
[3]
GO:0016740: Transferase activity (MF)
[15] array · 4 items
[0]
4
[1]
0.01535
[2]
0.04312
[3]
GO:0004930: G-protein coupled receptor activity (MF)
[16] array · 4 items
[0]
Cellular component
[1]
[2]
[3]
[17] array · 4 items
[0]
15
[1]
0.00234
[2]
0.03334
[3]
GO:0005737: Cytoplasm (CC)
[18] array · 4 items
[0]
13
[1]
0.00169
[2]
0.03219
[3]
GO:0016020: Membrane (CC)
[19] array · 4 items
[0]
11
[1]
0.00562
[2]
0.03205
[3]
GO:0005886: Plasma membrane (CC)
[20] array · 4 items
[0]
9
[1]
0.00075
[2]
0.02125
[3]
GO:0005576: Extracellular region (CC)
[21] array · 4 items
[0]
7
[1]
0.0028
[2]
0.02656
[3]
GO:0005730: Nucleolus (CC)
[22] array · 4 items
[0]
6
[1]
0.00948
[2]
0.04156
[3]
GO:0005739: Mitochondrion (CC)
[23] array · 4 items
[0]
5
[1]
0.00357
[2]
0.02911
[3]
GO:0005615: Extracellular space (CC)
[24] array · 4 items
[0]
4
[1]
0.00072
[2]
0.04092
[3]
GO:0005743: Mitochondrial inner membrane (CC)
[25] array · 4 items
[0]
3
[1]
0.00236
[2]
0.02696
[3]
GO:0005759: Mitochondrial matrix (CC)
[26] array · 4 items
[0]
KEGG pathway
[1]
[2]
[3]
[27] array · 4 items
[0]
3
[1]
0.0089
[2]
0.0411
[3]
(KEGG) 05200: Pathways in cancer
[28] array · 4 items
[0]
2
[1]
0.00215
[2]
0.02152
[3]
(KEGG) 05213: Endometrial cancer
[29] array · 4 items
[0]
2
[1]
0.00258
[2]
0.02211
[3]
(KEGG) 05221: Acute myeloid leukemia
[30] array · 4 items
[0]
2
[1]
0.00304
[2]
0.02282
[3]
(KEGG) 05210: Colorectal cancer
[31] array · 4 items
[0]
2
[1]
0.00077
[2]
0.02304
[3]
(KEGG) 00040: Pentose and glucuronate interconversions
[32] array · 4 items
[0]
2
[1]
0.00207
[2]
0.02485
[3]
(KEGG) 00500: Starch and sucrose metabolism
[33] array · 4 items
[0]
2
[1]
0.00419
[2]
0.02514
[3]
(KEGG) 05220: Chronic myeloid leukemia
[34] array · 4 items
[0]
2
[1]
0.00386
[2]
0.02574
[3]
(KEGG) 05218: Melanoma
[35] array · 4 items
[0]
2
[1]
0.00184
[2]
0.02755
[3]
(KEGG) 00520: Amino sugar and nucleotide sugar metabolism
[36] array · 4 items
[0]
2
[1]
0.00141
[2]
0.02818
[3]
(KEGG) 05219: Bladder cancer
[37] array · 4 items
[0]
2
[1]
0.00551
[2]
0.03004
[3]
(KEGG) 05222: Small cell lung cancer
[38] array · 4 items
[0]
2
[1]
0.00063
[2]
0.03755
[3]
(KEGG) 05216: Thyroid cancer
[39] array · 4 items
[0]
2
[1]
0.01148
[2]
0.04919
[3]
(KEGG) 04110: Cell cycle
[40] array · 4 items
[0]
2
[1]
0.01238
[2]
0.04953
[3]
(KEGG) 04360: Axon guidance
locator
section[12]/table-wrap[2]#tIV-ol-0-0-7097
[11] object · 16 fields
id
asset:table:pmid:29344121:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:57b61393bbf6e5f872dd7ba0fdf987b57d4615e519de7d664605ec55ebd58d7f
bytes
2270
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[1]#tV-ol-0-0-7097
version
null
note
Multivariable and univariable model tests of risk score and other factors.
structure object · 5 fields
pmcid
PMC5754913
section_index
13
section_title
Construction of risk score formula
row_count
39
column_count
9
table object · 8 fields
label
Table V.
caption
Multivariable and univariable model tests of risk score and other factors.
rows array · 39 items
[0] array · 1 item
[0]
A, GSE14333
[1] array · 1 item
[0]
[2] array · 3 items
[0]
[1]
Multivariable model
[2]
Univariable model
[3] array · 3 items
[0]
[1]
[2]
[4] array · 9 items
[0]
Variables
[1]
HR
[2]
95% CI of HR
[3]
[4]
P-value
[5]
HR
[6]
95% CI of HR
[7]
[8]
P-value
[5] array · 9 items
[0]
Risk score
[1]
2.346
[2]
1.298
[3]
4.241
[4]
0.005
[5]
2.718
[6]
1.523
[7]
4.851
[8]
0.001
[6] array · 9 items
[0]
Location
[1]
0.965
[2]
0.814
[3]
1.144
[4]
0.683
[5]
0.892
[6]
0.76
[7]
1.047
[8]
0.163
[7] array · 9 items
[0]
Dukes stage
[1]
1.18
[2]
0.926
[3]
1.503
[4]
0.18
[5]
1.044
[6]
0.86
[7]
1.266
[8]
0.666
[8] array · 9 items
[0]
Age of diagnosis
[1]
1.008
[2]
0.994
[3]
1.023
[4]
0.257
[5]
1.105
[6]
1.002
[7]
1.028
[8]
0.02
[9] array · 9 items
[0]
Sex
[1]
0.926
[2]
0.683
[3]
1.255
[4]
0.62
[5]
0.877
[6]
0.651
[7]
1.182
[8]
0.39
[10] array · 9 items
[0]
Adj XRT
[1]
0.463
[2]
0.218
[3]
0.984
[4]
0.045
[5]
0.433
[6]
0.212
[7]
0.884
[8]
0.021
[11] array · 9 items
[0]
Adj CTX
[1]
0.867
[2]
0.568
[3]
1.325
[4]
0.51
[5]
0.847
[6]
0.618
[7]
1.16
[8]
0.3
[12] array · 1 item
[0]
[13] array · 1 item
[0]
B, GSE17536
[14] array · 1 item
[0]
[15] array · 3 items
[0]
[1]
Multivariable model
[2]
Univariable model
[16] array · 3 items
[0]
[1]
[2]
[17] array · 9 items
[0]
Variables
[1]
HR
[2]
95% CI of HR
[3]
[4]
P-value
[5]
HR
[6]
95% CI of HR
[7]
[8]
P-value
[18] array · 1 item
[0]
[19] array · 9 items
[0]
Risk score
[1]
2.745
[2]
1.204
[3]
6.262
[4]
0.016
[5]
3.283
[6]
1.489
[7]
7.236
[8]
0.003
[20] array · 9 items
[0]
Age
[1]
1.015
[2]
0.999
[3]
1.031
[4]
0.061
[5]
1.018
[6]
1.003
[7]
1.034
[8]
0.016
[21] array · 9 items
[0]
Sex
[1]
1.084
[2]
0.747
[3]
1.572
[4]
0.672
[5]
0.953
[6]
0.666
[7]
1.362
[8]
0.79
[22] array · 9 items
[0]
Ethnicity
[1]
0.967
[2]
0.728
[3]
1.284
[4]
0.817
[5]
0.915
[6]
0.685
[7]
1.221
[8]
0.545
[23] array · 9 items
[0]
AJCC stage
[1]
1.107
[2]
0.892
[3]
1.373
[4]
0.357
[5]
1.051
[6]
0.861
[7]
1.284
[8]
0.625
[24] array · 9 items
[0]
grade
[1]
1.254
[2]
0.828
[3]
1.898
[4]
0.285
[5]
1.375
[6]
0.924
[7]
2.045
[8]
0.116
[25] array · 1 item
[0]
[26] array · 1 item
[0]
C, GSE29621
[27] array · 1 item
[0]
[28] array · 3 items
[0]
[1]
Multivariable model
[2]
Univariable model
[29] array · 3 items
[0]
[1]
[2]
[30] array · 9 items
[0]
Variables
[1]
HR
[2]
95% CI of HR
[3]
[4]
P-value
[5]
HR
[6]
95% CI of HR
[7]
[8]
P-value
[31] array · 1 item
[0]
[32] array · 9 items
[0]
Risk score
[1]
9.03
[2]
1.425
[3]
57.223
[4]
0.019
[5]
2.526
[6]
0.481
[7]
13.269
[8]
2.73E-05
[33] array · 9 items
[0]
Sex
[1]
1.243
[2]
0.513
[3]
3.014
[4]
0.63
[5]
1.508
[6]
0.649
[7]
3.505
[8]
0.34
[34] array · 9 items
[0]
T stage
[1]
0.449
[2]
0.091
[3]
2.209
[4]
0.325
[5]
1.048
[6]
0.438
[7]
2.509
[8]
0.915
[35] array · 9 items
[0]
N stage
[1]
1.583
[2]
0.604
[3]
4.143
[4]
0.35
[5]
2.688
[6]
1.526
[7]
4.734
[8]
0.001
[36] array · 9 items
[0]
M stage
[1]
2.065
[2]
0.368
[3]
11.592
[4]
0.41
[5]
4.934
[6]
2.188
[7]
11.124
[8]
1.19E-04
[37] array · 9 items
[0]
Histology grade
[1]
0.849
[2]
0.325
[3]
2.219
[4]
0.738
[5]
0.665
[6]
0.284
[7]
1.558
[8]
0.348
[38] array · 9 items
[0]
AJCC stage
[1]
1.965
[2]
0.518
[3]
7.45
[4]
0.321
[5]
2.708
[6]
1.615
[7]
4.542
[8]
1.59E-04
locator
section[13]/table-wrap[1]#tV-ol-0-0-7097
gaps array · 12 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:GSE29621 not downloaded
[5]
asset:data:geo:GSE29621 licence not read
[6]
asset:data:geo:GSE44076 not downloaded
[7]
asset:data:geo:GSE44076 licence not read
[8]
asset:data:geo:GSE44861 not downloaded
[9]
asset:data:geo:GSE44861 licence not read
[10]
asset:data:geo:GSE9348 not downloaded
[11]
asset:data:geo:GSE9348 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
verbatim
quote
Survival analysis was performed by Kaplan-Meier method and Mantel-Cox log-rank test was used to evaluate the statistical significance of the differences.
[1] object · 10 fields
id
method-2
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
0.7
band
medium
quote
cox regression
[2] object · 10 fields
id
method-3
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
[3] object · 10 fields
id
method-4
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
Chi-Square
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
chi_square_test
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 · 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 · 6 items
[0]
GSE9348
[1]
GSE44076
[2]
GSE44861
[3]
GSE14333
[4]
GSE17536
[5]
GSE29621
resolved_accessions array · 6 items
[0]
GSE9348
[1]
GSE44076
[2]
GSE44861
[3]
GSE14333
[4]
GSE17536
[5]
GSE29621
statements array · 1 item
[0]
Data which were not shown in this article could be archived by contacting the corresponding author.
basis
The paper names GSE9348, GSE44076, GSE44861, GSE14333, GSE17536, GSE29621 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]
survival_km
assets array · 7 items
[0]
source:pmid:29344121
[1]
data:geo:GSE14333
[2]
asset:table:pmid:29344121:1
[3]
asset:table:pmid:29344121:2
[4]
asset:table:pmid:29344121:3
[5]
asset:table:pmid:29344121:4
[6]
asset:table:pmid:29344121:5
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
2026-10-31T18:33:27Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
8
usage object · 3 fields
prompt_tokens
68168
completion_tokens
5838
cached_tokens
17944
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:29344121
type
paper
label
pmid:29344121
[1] object · 3 fields
id
source:pmid:29344121
type
manuscript
label
PMID 29344121 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:29344121
type
paper
label
pmid:29344121
[1] object · 3 fields
id
source:pmid:29344121
type
manuscript
label
PMID 29344121 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-29344121
type
extraction
used array · 1 item
[0]
source:pmid:29344121
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:29344121
parent_hash
sha256:39611db70fb1dcf3ad5725ae37f482c19dfc119b646dfddbe3de1808822ca2a4
fork_of
null
gaps array · 16 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:GSE29621 licence not read
[5]
asset:data:geo:GSE29621 not downloaded
[6]
asset:data:geo:GSE44076 licence not read
[7]
asset:data:geo:GSE44076 not downloaded
[8]
asset:data:geo:GSE44861 licence not read
[9]
asset:data:geo:GSE44861 not downloaded
[10]
asset:data:geo:GSE9348 licence not read
[11]
asset:data:geo:GSE9348 not downloaded
[12]
execution.not_run
[13]
review.human_critique
[14]
review.independent_reader
[15]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Survival analysis was performed by Kaplan-Meier method and Mantel-Cox log-rank test was used to evaluate the statistical significance of the differences.
order_basis
analysis_only
id
assay:1
Complete file
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This inherent clinical diversity is most likely due to the genetic heterogeneity. The present study aimed to create a predicting tool to evaluate patient survival based on genetic profile. Firstly, three Gene Expression Omnibus (GEO) datasets (GSE9348, GSE44076 and GSE44861) were utilized to identify and validate differentially expressed genes (DEGs) in CRC. The GSE14333 dataset containing survival information was then introduced in order to screen and verify prognosis-associated genes. Of the 66 DEGs, the present study screened out 46 biomarkers closely associated to patient overall survival. By Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, it was demonstrated that these genes participated in multiple biological processes which were highly associated with cancer proliferation, drug-resistance and metastasis, thus further affecting patient survival. The five most important genes, MET proto-oncogene, receptor tyrosine kinase, carboxypeptidase M, serine hydroxymethyltransferase 2, guanylate cyclase activator 2B and sodium voltage-gated channel a subunit 9 were selected by a random survival forests algorithm, and were further made up to a linear risk score formula by multivariable cox regression. Finally, the present study tested and verified this risk score within three independent GEO datasets (GSE14333, GSE17536 and GSE29621), and observed that patients with a high risk score had a lower overall survival (P<0.05). Furthermore, this risk score was the most significant compared with other predicting factors including age and American Joint Committee on Cancer stage, in the model, and was able to predict patient survival independently and directly. The findings suggest that this survival associated DEGs-based risk score is a powerful and accurate prognostic tool and is promisingly implemented in a clinical setting.", "claims": [{"id": "claim-method", "statement": "Survival analysis was performed by Kaplan-Meier method and Mantel-Cox log-rank test was used to evaluate the statistical significance of the differences.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29344121", "locator": "sections[7] \"Statistical analysis\" paragraph 2", "quote": "Survival analysis was performed by Kaplan-Meier method and Mantel-Cox log-rank test was used to evaluate the statistical significance of the differences."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data which were not shown in this article could be archived by contacting the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29344121", "locator": "sections[16] \"Acknowledgements\" paragraph 2", "quote": "Data which were not shown in this article could be archived by contacting the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using three GEO datasets for DEG identification and validation, followed by random survival forests and multivariable Cox regression, the study identified 66 DEGs, selected five prognostic genes, and found that the resulting risk score was associated with lower overall survival in high-risk patients (P<0.05).", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "Finally, the present study tested and verified this risk score within three independent GEO datasets (GSE14333, GSE17536 and GSE29621), and observed that patients with a high risk score had a lower overall survival (P<0.05)."}, "evidence": [{"asset": "source:pmid:29344121", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Firstly, three Gene Expression Omnibus (GEO) datasets (GSE9348, GSE44076 and GSE44861) were utilized to identify and validate differentially expressed genes (DEGs) in CRC."}, {"asset": "source:pmid:29344121", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The five most important genes, MET proto-oncogene, receptor tyrosine kinase, carboxypeptidase M, serine hydroxymethyltransferase 2, guanylate cyclase activator 2B and sodium voltage-gated channel a subunit 9 were selected by a random survival forests algorithm, and were further made up to a linear risk score formula by multivariable cox regression."}, {"asset": "source:pmid:29344121", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Finally, the present study tested and verified this risk score within three independent GEO datasets (GSE14333, GSE17536 and GSE29621), and observed that patients with a high risk score had a lower overall survival (P<0.05)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using three GEO datasets for DEG identification and validation, followed by random survival forests and multivariable Cox regression, the study identified 66 DEGs, selected five prognostic genes, and found that the resulting risk score was associated with lower overall survival in high-risk patients (P<0.05).", "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:29344121"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE14333"], "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:GSE14333"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:29344121", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/ol.2017.7097", "sha256": 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"GO:0005515: Protein binding (MF)"], ["7", "1.6E-06", "0.00019", "GO:0016491: Oxidoreductase activity (MF)"], ["7", "0.01988", "0.04888", "GO:0000166: Nucleotide binding (MF)"], ["6", "0.01607", "0.0431", "GO:0004872: Receptor activity (MF)"], ["5", "0.00871", "0.03213", "GO:0016787: Hydrolase activity (MF)"], ["4", "0.00865", "0.03294", "GO:0016740: Transferase activity (MF)"], ["4", "0.01535", "0.04312", "GO:0004930: G-protein coupled receptor activity (MF)"], ["Cellular component", "", "", ""], ["15", "0.00234", "0.03334", "GO:0005737: Cytoplasm (CC)"], ["13", "0.00169", "0.03219", "GO:0016020: Membrane (CC)"], ["11", "0.00562", "0.03205", "GO:0005886: Plasma membrane (CC)"], ["9", "0.00075", "0.02125", "GO:0005576: Extracellular region (CC)"], ["7", "0.0028", "0.02656", "GO:0005730: Nucleolus (CC)"], ["6", "0.00948", "0.04156", "GO:0005739: Mitochondrion (CC)"], ["5", "0.00357", "0.02911", "GO:0005615: Extracellular space (CC)"], ["4", "0.00072", "0.04092", "GO:0005743: Mitochondrial inner membrane (CC)"], ["3", "0.00236", "0.02696", "GO:0005759: Mitochondrial matrix (CC)"], ["KEGG pathway", "", "", ""], ["3", "0.0089", "0.0411", "(KEGG) 05200: Pathways in cancer"], ["2", "0.00215", "0.02152", "(KEGG) 05213: Endometrial cancer"], ["2", "0.00258", "0.02211", "(KEGG) 05221: Acute myeloid leukemia"], ["2", "0.00304", "0.02282", "(KEGG) 05210: Colorectal cancer"], ["2", "0.00077", "0.02304", "(KEGG) 00040: Pentose and glucuronate interconversions"], ["2", "0.00207", "0.02485", "(KEGG) 00500: Starch and sucrose metabolism"], ["2", "0.00419", "0.02514", "(KEGG) 05220: Chronic myeloid leukemia"], ["2", "0.00386", "0.02574", "(KEGG) 05218: Melanoma"], ["2", "0.00184", "0.02755", "(KEGG) 00520: Amino sugar and nucleotide sugar metabolism"], ["2", "0.00141", "0.02818", "(KEGG) 05219: Bladder cancer"], ["2", "0.00551", "0.03004", "(KEGG) 05222: Small cell lung cancer"], ["2", "0.00063", "0.03755", "(KEGG) 05216: Thyroid cancer"], ["2", "0.01148", "0.04919", "(KEGG) 04110: Cell cycle"], ["2", "0.01238", "0.04953", "(KEGG) 04360: Axon guidance"]], "row_count": 41, "column_count": 4, "numeric_cells": 144, "header_rows": 1, "locator": "section[12]/table-wrap[2]#tIV-ol-0-0-7097"}}, {"id": "asset:table:pmid:29344121:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:57b61393bbf6e5f872dd7ba0fdf987b57d4615e519de7d664605ec55ebd58d7f", "bytes": 2270, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#tV-ol-0-0-7097", "version": null, "note": "Multivariable and univariable model tests of risk score and other factors.", "structure": {"pmcid": "PMC5754913", "section_index": 13, "section_title": "Construction of risk score formula", "row_count": 39, "column_count": 9}, "table": {"label": "Table V.", "caption": "Multivariable and univariable model tests of risk score and other factors.", "rows": [["A, GSE14333"], [""], ["", "Multivariable model", "Univariable model"], ["", "", ""], ["Variables", "HR", "95% CI of HR", "", "P-value", "HR", "95% CI of HR", "", "P-value"], ["Risk score", "2.346", "1.298", "4.241", "0.005", "2.718", "1.523", "4.851", "0.001"], ["Location", "0.965", "0.814", "1.144", "0.683", "0.892", "0.76", "1.047", "0.163"], ["Dukes stage", "1.18", "0.926", "1.503", "0.18", "1.044", "0.86", "1.266", "0.666"], ["Age of diagnosis", "1.008", "0.994", "1.023", "0.257", "1.105", "1.002", "1.028", "0.02"], ["Sex", "0.926", "0.683", "1.255", "0.62", "0.877", "0.651", "1.182", "0.39"], ["Adj XRT", "0.463", "0.218", "0.984", "0.045", "0.433", "0.212", "0.884", "0.021"], ["Adj CTX", "0.867", "0.568", "1.325", "0.51", "0.847", "0.618", "1.16", "0.3"], [""], ["B, GSE17536"], [""], ["", "Multivariable model", "Univariable model"], ["", "", ""], ["Variables", "HR", "95% CI of HR", "", "P-value", "HR", "95% CI of HR", "", "P-value"], [""], ["Risk score", "2.745", "1.204", "6.262", "0.016", "3.283", "1.489", "7.236", "0.003"], ["Age", "1.015", "0.999", "1.031", "0.061", "1.018", "1.003", "1.034", "0.016"], ["Sex", "1.084", "0.747", "1.572", "0.672", "0.953", "0.666", "1.362", "0.79"], ["Ethnicity", "0.967", "0.728", "1.284", "0.817", "0.915", "0.685", "1.221", "0.545"], ["AJCC stage", "1.107", "0.892", "1.373", "0.357", "1.051", "0.861", "1.284", "0.625"], ["grade", "1.254", "0.828", "1.898", "0.285", "1.375", "0.924", "2.045", "0.116"], [""], ["C, GSE29621"], [""], ["", "Multivariable model", "Univariable model"], ["", "", ""], ["Variables", "HR", "95% CI of HR", "", "P-value", "HR", "95% CI of HR", "", "P-value"], [""], ["Risk score", "9.03", "1.425", "57.223", "0.019", "2.526", "0.481", "13.269", "2.73E-05"], ["Sex", "1.243", "0.513", "3.014", "0.63", "1.508", "0.649", "3.505", "0.34"], ["T stage", "0.449", "0.091", "2.209", "0.325", "1.048", "0.438", "2.509", "0.915"], ["N stage", "1.583", "0.604", "4.143", "0.35", "2.688", "1.526", "4.734", 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