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pmid:30659574

Combined eight-long noncoding RNA signature: a new risk score predicting prognosis in elderly non-small cell lung cancer patients.

Runchen Miao · Cuiyun Ge · Xing Zhang · Yang He · Xiaohua Ma · Xiaohong Xiang · Jingxian Gu · Yunong Fu · Kai Qu · Chang Liu · Qifei Wu · Ting Lin

Aging · 2019 doi:10.18632/aging.101752

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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Combined eight-long noncoding RNA signature: a new risk score predicting prognosis in elderly non-small cell lung cancer patients.
doi
10.18632/aging.101752
pmid
30659574
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[0]
Runchen Miao
[1]
Cuiyun Ge
[2]
Xing Zhang
[3]
Yang He
[4]
Xiaohua Ma
[5]
Xiaohong Xiang
[6]
Jingxian Gu
[7]
Yunong Fu
[8]
Kai Qu
[9]
Chang Liu
[10]
Qifei Wu
[11]
Ting Lin
journal
Aging
year
2019
abstract
The elderly are the majority of patients with non-small cell lung cancer (NSCLC). Compared to the overall population's predictive guidance, an effective predictive guidance for elderly patients can better guide patients' postoperative treatment and improve overall survival (OS) and disease-free survival (DFS). Recently, the long non-coding RNAs (lncRNAs) have been found to play an important role in predicting tumor prognosis. To identify potential lncRNAs to predict survival in elderly patients with NSCLC, in the present study, we chose 456 elderly patients with NSCLC and analyzed differentially expressed lncRNAs from four Gene Expression Omnibus (GEO) datasets (GSE30219, GSE31546, GSE37745 and GSE50081). We then constructed an eight-lncRNA formula to predict elderly patients' prognosis in NSCLC. Furthermore, we validated the prognostic values of the new risk model in two independent datasets, TCGA (n=670) and GSE31210 (n=130). Our data suggested a significant association between risk model and patients' prognosis. Finally, stratification analysis further revealed the eight-lncRNA signature was an independent factor to predict OS and DFS in stage I elderly patients from both the discovery and validation groups. Functional prediction revealed that 8 lncRNAs have potential effects on tumor immune processes such as lymphocyte activation and TNF production in NSCLC. In summary, our data provides evidence that the eight-lncRNA signature could serve as an independent biomarker to predict prognosis in elderly patients with NSCLC especially in elderly stage I patients.
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Cox proportional hazards regression was used to identify survival-related biomarkers. Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites.
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GSM773636
[97]
GSM773637
[98]
GSM773638
[99]
GSM773639
[100]
GSM773640
[101]
GSM773641
[102]
GSM773642
[103]
GSM773643
[104]
GSM773644
[105]
GSM773645
[106]
GSM773646
[107]
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[108]
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[109]
GSM773649
[110]
GSM773650
[111]
GSM773651
[112]
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[113]
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[114]
GSM773654
[115]
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[116]
GSM773656
[117]
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[118]
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[119]
GSM773659
[120]
GSM773660
[121]
GSM773661
[122]
GSM773662
[123]
GSM773663
[124]
GSM773664
[125]
GSM773665
[126]
GSM773666
[127]
GSM773667
[128]
GSM773668
[129]
GSM773669
[130]
GSM773670
[131]
GSM773671
[132]
GSM773672
[133]
GSM773673
[134]
GSM773674
[135]
GSM773675
[136]
GSM773676
[137]
GSM773677
[138]
GSM773678
[139]
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[140]
GSM773680
[141]
GSM773681
[142]
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[143]
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[144]
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[145]
GSM773685
[146]
GSM773686
[147]
GSM773687
[148]
GSM773688
[149]
GSM773689
[150]
GSM773690
[151]
GSM773691
[152]
GSM773692
[153]
GSM773693
[154]
GSM773694
[155]
GSM773695
[156]
GSM773696
[157]
GSM773697
[158]
GSM773698
[159]
GSM773699
[160]
GSM773700
[161]
GSM773701
[162]
GSM773702
[163]
GSM773703
[164]
GSM773704
[165]
GSM773705
[166]
GSM773706
[167]
GSM773707
[168]
GSM773708
[169]
GSM773709
[170]
GSM773710
[171]
GSM773711
[172]
GSM773712
[173]
GSM773713
[174]
GSM773714
[175]
GSM773715
[176]
GSM773716
[177]
GSM773717
[178]
GSM773718
[179]
GSM773719
[180]
GSM773720
[181]
GSM773721
[182]
GSM773722
[183]
GSM773723
[184]
GSM773724
[185]
GSM773725
[186]
GSM773726
[187]
GSM773727
[188]
GSM773728
[189]
GSM773729
[190]
GSM773730
[191]
GSM773731
[192]
GSM773732
[193]
GSM773733
[194]
GSM773734
[195]
GSM773735
[196]
GSM773736
[197]
GSM773737
[198]
GSM773738
[199]
GSM773739
[200]
GSM773740
[201]
GSM773741
[202]
GSM773742
[203]
GSM773743
[204]
GSM773744
[205]
GSM773745
[206]
GSM773746
[207]
GSM773747
[208]
GSM773748
[209]
GSM773749
[210]
GSM773750
[211]
GSM773751
[212]
GSM773752
[213]
GSM773753
[214]
GSM773754
[215]
GSM773755
[216]
GSM773756
[217]
GSM773757
[218]
GSM773758
[219]
GSM773759
[220]
GSM773760
[221]
GSM773761
[222]
GSM773762
[223]
GSM773763
[224]
GSM773764
[225]
GSM773765
[226]
GSM773766
[227]
GSM773767
[228]
GSM773768
[229]
GSM773769
[230]
GSM773770
[231]
GSM773771
[232]
GSM773772
[233]
GSM773773
[234]
GSM773774
[235]
GSM773775
[236]
GSM773776
[237]
GSM773777
[238]
GSM773778
[239]
GSM773779
[240]
GSM773780
[241]
GSM773781
[242]
GSM773782
[243]
GSM773783
[244]
GSM773784
[245]
GSM773785
sample_count
246
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression data for pathological stage I-II lung adenocarcinomas
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:GSE31546
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=GSE31546
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE31546
version
null
note
Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites. Among them, four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were integrated as a training group via data normalization, including 456 patients.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites. Among them, four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were integrated as a training group via data normalization, including 456 patients.
access_statement_kind
repository_route_statement
sample_accessions array · 17 items
[0]
GSM782960
[1]
GSM782961
[2]
GSM782962
[3]
GSM782963
[4]
GSM782964
[5]
GSM782965
[6]
GSM782966
[7]
GSM782967
[8]
GSM782968
[9]
GSM782969
[10]
GSM782970
[11]
GSM782971
[12]
GSM782972
[13]
GSM782973
[14]
GSM782974
[15]
GSM782975
[16]
GSM782976
sample_count
17
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
UMCCC Primary Lung Cancer Specimens
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:GSE37745
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=GSE37745
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37745
version
null
note
Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites. Among them, four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were integrated as a training group via data normalization, including 456 patients.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites. Among them, four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were integrated as a training group via data normalization, including 456 patients.
access_statement_kind
repository_route_statement
sample_accessions array · 196 items
[0]
GSM1019138
[1]
GSM1019139
[2]
GSM1019140
[3]
GSM1019141
[4]
GSM1019142
[5]
GSM1019143
[6]
GSM1019144
[7]
GSM1019145
[8]
GSM1019146
[9]
GSM1019147
[10]
GSM1019148
[11]
GSM1019149
[12]
GSM1019150
[13]
GSM1019151
[14]
GSM1019152
[15]
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[16]
GSM1019154
[17]
GSM1019155
[18]
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[19]
GSM1019157
[20]
GSM1019158
[21]
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[22]
GSM1019160
[23]
GSM1019161
[24]
GSM1019162
[25]
GSM1019163
[26]
GSM1019164
[27]
GSM1019165
[28]
GSM1019166
[29]
GSM1019167
[30]
GSM1019168
[31]
GSM1019169
[32]
GSM1019170
[33]
GSM1019171
[34]
GSM1019172
[35]
GSM1019173
[36]
GSM1019174
[37]
GSM1019175
[38]
GSM1019176
[39]
GSM1019177
[40]
GSM1019178
[41]
GSM1019179
[42]
GSM1019180
[43]
GSM1019181
[44]
GSM1019182
[45]
GSM1019183
[46]
GSM1019184
[47]
GSM1019185
[48]
GSM1019186
[49]
GSM1019187
[50]
GSM1019188
[51]
GSM1019189
[52]
GSM1019190
[53]
GSM1019191
[54]
GSM1019192
[55]
GSM1019193
[56]
GSM1019194
[57]
GSM1019195
[58]
GSM1019196
[59]
GSM1019197
[60]
GSM1019198
[61]
GSM1019199
[62]
GSM1019200
[63]
GSM1019201
[64]
GSM1019202
[65]
GSM1019203
[66]
GSM1019204
[67]
GSM1019205
[68]
GSM1019206
[69]
GSM1019207
[70]
GSM1019208
[71]
GSM1019209
[72]
GSM1019210
[73]
GSM1019211
[74]
GSM1019212
[75]
GSM1019213
[76]
GSM1019214
[77]
GSM1019215
[78]
GSM1019216
[79]
GSM1019217
[80]
GSM1019218
[81]
GSM1019219
[82]
GSM1019220
[83]
GSM1019221
[84]
GSM1019222
[85]
GSM1019223
[86]
GSM1019224
[87]
GSM1019225
[88]
GSM1019226
[89]
GSM1019227
[90]
GSM1019228
[91]
GSM1019229
[92]
GSM1019230
[93]
GSM1019231
[94]
GSM1019232
[95]
GSM1019233
[96]
GSM1019234
[97]
GSM1019235
[98]
GSM1019236
[99]
GSM1019237
[100]
GSM1019238
[101]
GSM1019239
[102]
GSM1019240
[103]
GSM1019241
[104]
GSM1019242
[105]
GSM1019243
[106]
GSM1019244
[107]
GSM1019245
[108]
GSM1019246
[109]
GSM1019247
[110]
GSM1019248
[111]
GSM1019249
[112]
GSM1019250
[113]
GSM1019251
[114]
GSM1019252
[115]
GSM1019253
[116]
GSM1019254
[117]
GSM1019255
[118]
GSM1019256
[119]
GSM1019257
[120]
GSM1019258
[121]
GSM1019259
[122]
GSM1019260
[123]
GSM1019261
[124]
GSM1019262
[125]
GSM1019263
[126]
GSM1019264
[127]
GSM1019265
[128]
GSM1019266
[129]
GSM1019267
[130]
GSM1019268
[131]
GSM1019269
[132]
GSM1019270
[133]
GSM1019271
[134]
GSM1019272
[135]
GSM1019273
[136]
GSM1019274
[137]
GSM1019275
[138]
GSM1019276
[139]
GSM1019277
[140]
GSM1019278
[141]
GSM1019279
[142]
GSM1019280
[143]
GSM1019281
[144]
GSM1019282
[145]
GSM1019283
[146]
GSM1019284
[147]
GSM1019285
[148]
GSM1019286
[149]
GSM1019287
[150]
GSM1019288
[151]
GSM1019289
[152]
GSM1019290
[153]
GSM1019291
[154]
GSM1019292
[155]
GSM1019293
[156]
GSM1019294
[157]
GSM1019295
[158]
GSM1019296
[159]
GSM1019297
[160]
GSM1019298
[161]
GSM1019299
[162]
GSM1019300
[163]
GSM1019301
[164]
GSM1019302
[165]
GSM1019303
[166]
GSM1019304
[167]
GSM1019305
[168]
GSM1019306
[169]
GSM1019307
[170]
GSM1019308
[171]
GSM1019309
[172]
GSM1019310
[173]
GSM1019311
[174]
GSM1019312
[175]
GSM1019313
[176]
GSM1019314
[177]
GSM1019315
[178]
GSM1019316
[179]
GSM1019317
[180]
GSM1019318
[181]
GSM1019319
[182]
GSM1019320
[183]
GSM1019321
[184]
GSM1019322
[185]
GSM1019323
[186]
GSM1019324
[187]
GSM1019325
[188]
GSM1019326
[189]
GSM1019327
[190]
GSM1019328
[191]
GSM1019329
[192]
GSM1019330
[193]
GSM1019331
[194]
GSM1019332
[195]
GSM1019333
sample_count
196
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation
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:GSE50081
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=GSE50081
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE50081
version
null
note
Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites. Among them, four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were integrated as a training group via data normalization, including 456 patients.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites. Among them, four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were integrated as a training group via data normalization, including 456 patients.
access_statement_kind
repository_route_statement
sample_accessions array · 181 items
[0]
GSM1213669
[1]
GSM1213670
[2]
GSM1213671
[3]
GSM1213672
[4]
GSM1213673
[5]
GSM1213674
[6]
GSM1213675
[7]
GSM1213676
[8]
GSM1213677
[9]
GSM1213678
[10]
GSM1213679
[11]
GSM1213680
[12]
GSM1213681
[13]
GSM1213682
[14]
GSM1213683
[15]
GSM1213684
[16]
GSM1213685
[17]
GSM1213686
[18]
GSM1213687
[19]
GSM1213688
[20]
GSM1213689
[21]
GSM1213690
[22]
GSM1213691
[23]
GSM1213692
[24]
GSM1213693
[25]
GSM1213694
[26]
GSM1213695
[27]
GSM1213696
[28]
GSM1213697
[29]
GSM1213698
[30]
GSM1213699
[31]
GSM1213700
[32]
GSM1213701
[33]
GSM1213702
[34]
GSM1213703
[35]
GSM1213704
[36]
GSM1213705
[37]
GSM1213706
[38]
GSM1213707
[39]
GSM1213708
[40]
GSM1213709
[41]
GSM1213710
[42]
GSM1213711
[43]
GSM1213712
[44]
GSM1213713
[45]
GSM1213714
[46]
GSM1213715
[47]
GSM1213716
[48]
GSM1213717
[49]
GSM1213718
[50]
GSM1213719
[51]
GSM1213720
[52]
GSM1213721
[53]
GSM1213722
[54]
GSM1213723
[55]
GSM1213724
[56]
GSM1213725
[57]
GSM1213726
[58]
GSM1213727
[59]
GSM1213728
[60]
GSM1213729
[61]
GSM1213730
[62]
GSM1213731
[63]
GSM1213732
[64]
GSM1213733
[65]
GSM1213734
[66]
GSM1213735
[67]
GSM1213736
[68]
GSM1213737
[69]
GSM1213738
[70]
GSM1213739
[71]
GSM1213740
[72]
GSM1213741
[73]
GSM1213742
[74]
GSM1213743
[75]
GSM1213744
[76]
GSM1213745
[77]
GSM1213746
[78]
GSM1213747
[79]
GSM1213748
[80]
GSM1213749
[81]
GSM1213750
[82]
GSM1213751
[83]
GSM1213752
[84]
GSM1213753
[85]
GSM1213754
[86]
GSM1213755
[87]
GSM1213756
[88]
GSM1213757
[89]
GSM1213758
[90]
GSM1213759
[91]
GSM1213760
[92]
GSM1213761
[93]
GSM1213762
[94]
GSM1213763
[95]
GSM1213764
[96]
GSM1213765
[97]
GSM1213766
[98]
GSM1213767
[99]
GSM1213768
[100]
GSM1213769
[101]
GSM1213770
[102]
GSM1213771
[103]
GSM1213772
[104]
GSM1213773
[105]
GSM1213774
[106]
GSM1213775
[107]
GSM1213776
[108]
GSM1213777
[109]
GSM1213778
[110]
GSM1213779
[111]
GSM1213780
[112]
GSM1213781
[113]
GSM1213782
[114]
GSM1213783
[115]
GSM1213784
[116]
GSM1213785
[117]
GSM1213786
[118]
GSM1213787
[119]
GSM1213788
[120]
GSM1213789
[121]
GSM1213790
[122]
GSM1213791
[123]
GSM1213792
[124]
GSM1213793
[125]
GSM1213794
[126]
GSM1213795
[127]
GSM1213796
[128]
GSM1213797
[129]
GSM1213798
[130]
GSM1213799
[131]
GSM1213800
[132]
GSM1213801
[133]
GSM1213802
[134]
GSM1213803
[135]
GSM1213804
[136]
GSM1213805
[137]
GSM1213806
[138]
GSM1213807
[139]
GSM1213808
[140]
GSM1213809
[141]
GSM1213810
[142]
GSM1213811
[143]
GSM1213812
[144]
GSM1213813
[145]
GSM1213814
[146]
GSM1213815
[147]
GSM1213816
[148]
GSM1213817
[149]
GSM1213818
[150]
GSM1213819
[151]
GSM1213820
[152]
GSM1213821
[153]
GSM1213822
[154]
GSM1213823
[155]
GSM1213824
[156]
GSM1213825
[157]
GSM1213826
[158]
GSM1213827
[159]
GSM1213828
[160]
GSM1213829
[161]
GSM1213830
[162]
GSM1213831
[163]
GSM1213832
[164]
GSM1213833
[165]
GSM1213834
[166]
GSM1213835
[167]
GSM1213836
[168]
GSM1213837
[169]
GSM1213838
[170]
GSM1213839
[171]
GSM1213840
[172]
GSM1213841
[173]
GSM1213842
[174]
GSM1213843
[175]
GSM1213844
[176]
GSM1213845
[177]
GSM1213846
[178]
GSM1213847
[179]
GSM1213848
[180]
GSM1213849
sample_count
181
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients
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 · 16 fields
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asset:table:pmid:30659574:1
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table
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jats-table
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application/vnd.jats.table+json
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null
sha256
sha256:5c9258604615694225bdebbb58a9dcf2f703884e214aab933799b078cc5a576e
bytes
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access
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verified
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read_table
reader_status
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identifier
section[3]/table-wrap[1]#t1
version
null
note
Eight lncRNAs significantly associated with prognosis of NSCLC patients in the training group.
structure object · 5 fields
pmcid
PMC6366982
section_index
3
section_title
Identification of eight lncRNAs for prognosis prediction in the training group
row_count
9
column_count
7
table object · 8 fields
label
Table 1
caption
Eight lncRNAs significantly associated with prognosis of NSCLC patients in the training group.
rows array · 9 items
[0] array · 7 items
[0]
Gene name
[1]
Ensemble ID
[2]
Chr.
[3]
Coordinate
[4]
Coefficient
[5]
Hazard ratio
[6]
P value
[1] array · 7 items
[0]
LOC284632
[1]
ENSG00000230023
[2]
1
[3]
24,200,240-24,211,690
[4]
0.690
[5]
1.993
[6]
0.085
[2] array · 7 items
[0]
LINC00869
[1]
ENSG00000277147
[2]
1
[3]
149,607,012-149,679,523
[4]
0.272
[5]
1.313
[6]
0.083
[3] array · 7 items
[0]
LINC00703
[1]
ENSG00000224382
[2]
10
[3]
4,384,246-4,410,612
[4]
0.829
[5]
2.291
[6]
0.064
[4] array · 7 items
[0]
LINC00662
[1]
ENSG00000261824
[2]
19
[3]
27,790,493-27,793,940
[4]
0.076
[5]
1.079
[6]
0.473
[5] array · 7 items
[0]
LINC00324
[1]
ENSG00000178977
[2]
17
[3]
8,220,630-8,224,043
[4]
-0.646
[5]
0.524
[6]
<0.0001
[6] array · 7 items
[0]
ITGA9-AS1
[1]
ENSG00000235257
[2]
3
[3]
37,753,689-37,861,780
[4]
-0.445
[5]
0.641
[6]
0.174
[7] array · 7 items
[0]
HOXA11-AS
[1]
ENSG00000240990
[2]
7
[3]
27,185,408-27,189,293
[4]
0.020
[5]
1.020
[6]
0.909
[8] array · 7 items
[0]
DHRS4-AS1
[1]
ENSG00000215256
[2]
14
[3]
23,938,731-23,955,112
[4]
-0.204
[5]
0.815
[6]
0.106
locator
section[3]/table-wrap[1]#t1
[7] object · 16 fields
id
asset:table:pmid:30659574:2
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table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:c6771b8120236a2f091fe172c5728a9774b979b69c700a30c8f0d6e4e70bd270
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read_table
reader_status
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identifier
section[6]/table-wrap[1]#t2
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note
The association between eight-lncRNA signature and OS of NSCLC patients in discovery and validating groups.
structure object · 5 fields
pmcid
PMC6366982
section_index
6
section_title
The eight lncRNAs signature was associated with prognosis in stage I patients
row_count
18
column_count
10
table object · 8 fields
label
Table 2
caption
The association between eight-lncRNA signature and OS of NSCLC patients in discovery and validating groups.
rows array · 18 items
[0] array · 4 items
[0]
Variable
[1]
Discovery Group
[2]
Validation Group-1
[3]
Validation Group-2
[1] array · 9 items
[0]
Number(High/Low)
[1]
HR (95%CI)
[2]
P value
[3]
Number(High/Low)
[4]
HR (95%CI)
[5]
P value
[6]
Number(High/Low)
[7]
HR (95%CI)
[8]
P value
[2] array · 10 items
[0]
Total
[1]
228/228
[2]
2.08 (1.66-2.62)
[3]
<0.001
[4]
335/335
[5]
1.48 (1.17-1.86)
[6]
0.001
[7]
65/65
[8]
2.96 (1.28-6.83)
[9]
0.017
[3] array · 10 items
[0]
Gender
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[4] array · 10 items
[0]
Male
[1]
171/142
[2]
1.89(1.46-2.45)
[3]
<0.001
[4]
209/212
[5]
1.46 (1.10-1.94)
[6]
0.008
[7]
35/25
[8]
5.68 (1.41-11.47)
[9]
0.010
[5] array · 10 items
[0]
Female
[1]
57/86
[2]
2.34 (1.53-3.96)
[3]
<0.001
[4]
126/123
[5]
1.55 (1.03-2.34)
[6]
0.036
[7]
30/40
[8]
1.23 (0.31-4.96)
[9]
0.772
[6] array · 10 items
[0]
Smoking history
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[7] array · 10 items
[0]
Never smoker
[1]
1/16
[2]
4.60 (0.49-1458)
[3]
0.117
[4]
22/29
[5]
1.74(0.72-4.17)
[6]
0.189
[7]
24/42
[8]
1.75(0.43-7.65)
[9]
0.420
[8] array · 10 items
[0]
Ever smoker
[1]
10/61
[2]
0.96 (0.34-2.70)
[3]
0.934
[4]
217/237
[5]
1.382(1.03-1.85)
[6]
0.029
[7]
41/22
[8]
3.889(0.98-8.38)
[9]
0.055
[9] array · 10 items
[0]
Current smoker
[1]
8/40
[2]
1.11 (0.45-3.10)
[3]
0.786
[4]
84/59
[5]
1.52(0.97-2.36)
[6]
0.060
[7]
0/0
[8]
NA
[9]
NA
[10] array · 10 items
[0]
Histology
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[11] array · 10 items
[0]
Squamous Carcinoma
[1]
141/95
[2]
2.04 (1.30-2.86)
[3]
0.001
[4]
219/196
[5]
1.27 (0.96-1.70)
[6]
0.099
[7]
0/0
[8]
NA
[9]
NA
[12] array · 10 items
[0]
Adenocarcinoma
[1]
68/152
[2]
2.11 (1.60-3.54)
[3]
<0.001
[4]
116/139
[5]
1.97 (1.32-2.95)
[6]
<0.001
[7]
0/0
[8]
NA
[9]
NA
[13] array · 10 items
[0]
AJCC stage
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[14] array · 10 items
[0]
Stage I
[1]
144/166
[2]
2.12 (1.63-2.88)
[3]
< 0.001
[4]
180/174
[5]
1.68 (1.19-2.38)
[6]
0.003
[7]
41/56
[8]
4.39 (1.32-13.25)
[9]
0.015
[15] array · 10 items
[0]
Stage II
[1]
39/50
[2]
1.49 (0.88-2.57)
[3]
0.138
[4]
97/86
[5]
1.44 (0.91-2.28)
[6]
0.118
[7]
24/9
[8]
1.29 (0.37-4.37)
[9]
0.703
[16] array · 10 items
[0]
Stage III
[1]
37/9
[2]
1.84 (0.94-3.31)
[3]
0.087
[4]
54/57
[5]
1.25 (0.76-2.06)
[6]
0.382
[7]
0/0
[8]
NA
[9]
NA
[17] array · 10 items
[0]
Stage IV
[1]
5/3
[2]
1.08 (0.22-5.44)
[3]
0.925
[4]
3/13
[5]
6.02 (0.52-70.04)
[6]
0.003
[7]
0/0
[8]
NA
[9]
NA
locator
section[6]/table-wrap[1]#t2
[8] object · 16 fields
id
asset:table:pmid:30659574:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:e628cfc8a4c73271a44688981ad58b101dbfeec59ff0a805b5887ca59b737ad5
bytes
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open
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verified
reader
read_table
reader_status
available
identifier
section[6]/table-wrap[2]#t3
version
null
note
The association between eight-lncRNA signature and DFS of NSCLC patients in discovery and validating groups.
structure object · 5 fields
pmcid
PMC6366982
section_index
6
section_title
The eight lncRNAs signature was associated with prognosis in stage I patients
row_count
18
column_count
10
table object · 8 fields
label
Table 3
caption
The association between eight-lncRNA signature and DFS of NSCLC patients in discovery and validating groups.
rows array · 18 items
[0] array · 4 items
[0]
Variable
[1]
Discovery Group
[2]
Validation Group-1
[3]
Validation Group-2
[1] array · 9 items
[0]
Number(High/Low)
[1]
HR (95%CI)
[2]
Pvalue
[3]
Number(High/Low)
[4]
HR (95%CI)
[5]
P value
[6]
Number(High/Low)
[7]
HR (95%CI)
[8]
Pvalue
[2] array · 10 items
[0]
Total
[1]
228/228
[2]
2.61 (1.91-3.67)
[3]
<0.001
[4]
335/335
[5]
1.45 (1.11-1.91)
[6]
0.006
[7]
65/65
[8]
3.05 (1.58-5.26)
[9]
<0.001
[3] array · 10 items
[0]
Gender
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[4] array · 10 items
[0]
Male
[1]
196/160
[2]
2.64 (1.74-3.63)
[3]
<0.001
[4]
209/212
[5]
1.31 (0.93-1.86)
[6]
0.120
[7]
34/26
[8]
7.45 (2.16-10.36)
[9]
<0.001
[5] array · 10 items
[0]
Female
[1]
63/107
[2]
2.25 (1.23-5.41)
[3]
0.013
[4]
126/123
[5]
1.70 (1.10-2.63)
[6]
0.018
[7]
31/39
[8]
1.28 (0.50-3.25)
[9]
0.603
[6] array · 10 items
[0]
Smoking history
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[7] array · 10 items
[0]
Never smoker
[1]
2/15
[2]
3.89 (0.92-157.30)
[3]
0.065
[4]
22/29
[5]
0.65(0.27-1.60)
[6]
0.366
[7]
24/43
[8]
1.26(0.47-3.42)
[9]
0.638
[8] array · 10 items
[0]
Ever smoker
[1]
20/53
[2]
3.26 (1.57-12.45)
[3]
0.005
[4]
217/237
[5]
1.43(1.01-2.02)
[6]
0.040
[7]
41/22
[8]
8.17(1.80-8.60)
[9]
0.001
[9] array · 10 items
[0]
Current smoker
[1]
10/39
[2]
1.33 (0.33-5.54)
[3]
0.665
[4]
84/59
[5]
1.62(0.93-2.82)
[6]
0.093
[7]
0/0
[8]
NA
[9]
NA
[10] array · 10 items
[0]
Histology
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[11] array · 10 items
[0]
Squamous Carcinoma
[1]
107/69
[2]
3.08 (1.40-4.67)
[3]
0.002
[4]
219/196
[5]
1.46 (1.00-2.12)
[6]
0.048
[7]
0/0
[8]
NA
[9]
NA
[12] array · 10 items
[0]
Adenocarcinoma
[1]
86/165
[2]
2.50 (1.73-5.48)
[3]
<0.001
[4]
116/139
[5]
1.57 (1.05-2.35)
[6]
0.021
[7]
0/0
[8]
NA
[9]
NA
[13] array · 10 items
[0]
AJCC stage
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[14] array · 10 items
[0]
Stage I
[1]
165/193
[2]
2.40 (1.61-3.81)
[3]
< 0.001
[4]
180/174
[5]
1.61 (1.06-2.44)
[6]
0.021
[7]
43/54
[8]
2.52 (1.15-5.64)
[9]
0.022
[15] array · 10 items
[0]
Stage II
[1]
46/54
[2]
2.20 (1.14-4.66)
[3]
0.021
[4]
97/86
[5]
1.25 (0.76-2.06)
[6]
0.382
[7]
22/11
[8]
2.67 (0.85-5.92)
[9]
0.104
[16] array · 10 items
[0]
Stage III
[1]
35/6
[2]
3.68 (1.30-6.70)
[3]
0.015
[4]
54/57
[5]
1.21 (0.65-2.25)
[6]
0.552
[7]
0/0
[8]
NA
[9]
NA
[17] array · 10 items
[0]
Stage IV
[1]
5/4
[2]
0.31 (0.00-2.29)
[3]
0.221
[4]
3/13
[5]
NA
[6]
0.635
[7]
0/0
[8]
NA
[9]
NA
locator
section[6]/table-wrap[2]#t3
[9] object · 16 fields
id
asset:table:pmid:30659574:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:cd232c61925320338ce7e827fbb3466e0dc5d30bd73e1229d76d9909c2d41aee
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read_table
reader_status
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identifier
section[10]/table-wrap[1]#t4
version
null
note
Clinical features of elderly patients (age>=60 years) with NSCLC in the training and validating groups.
structure object · 5 fields
pmcid
PMC6366982
section_index
10
section_title
Patient information and study design
row_count
19
column_count
4
table object · 8 fields
label
Table 4
caption
Clinical features of elderly patients (age>=60 years) with NSCLC in the training and validating groups.
rows array · 19 items
[0] array · 4 items
[0]
Features
[1]
Training group(n=456)
[2]
Validation group-1(n=670)
[3]
Validation group-2(n=130)
[1] array · 4 items
[0]
Age, no (%)
[1]
[2]
[3]
[2] array · 4 items
[0]
<75 years
[1]
353
[2]
486
[3]
123
[3] array · 4 items
[0]
>=75 years
[1]
103
[2]
184
[3]
7
[4] array · 4 items
[0]
Gender, no (%)
[1]
[2]
[3]
[5] array · 4 items
[0]
Male
[1]
313 (68.6)
[2]
421 (62.8)
[3]
60 (46.2)
[6] array · 4 items
[0]
Female
[1]
143 (31.4)
[2]
249 (37.2)
[3]
70 (53.8)
[7] array · 4 items
[0]
Smoking status, no (%)
[1]
[2]
[3]
[8] array · 4 items
[0]
Never smoker
[1]
17 (12.5)
[2]
51 (7.9)
[3]
67 (51.5)
[9] array · 4 items
[0]
Ever smoker
[1]
71 (52.2)
[2]
454 (70.1)
[3]
63 (48.5)
[10] array · 4 items
[0]
Current smoker
[1]
48 (35.3)
[2]
143 (22.0)
[3]
[11] array · 4 items
[0]
Pathological grade, no (%)
[1]
[2]
[3]
[12] array · 4 items
[0]
Squamous Carcinoma
[1]
236 (39.9)
[2]
415 (61.9)
[3]
NA
[13] array · 4 items
[0]
Adenocarcinoma
[1]
220 (60.1)
[2]
255 (38.1)
[3]
NA
[14] array · 4 items
[0]
AJCC stage, no (%)
[1]
[2]
[3]
[15] array · 4 items
[0]
I
[1]
313 (68.4)
[2]
356 (53.3)
[3]
97 (74.6)
[16] array · 4 items
[0]
II
[1]
89 (19.6)
[2]
185 (27.6)
[3]
33 (25.4)
[17] array · 4 items
[0]
III
[1]
46 (10.2)
[2]
112 (16.7)
[3]
NA
[18] array · 4 items
[0]
IV
[1]
8 (1.8)
[2]
17 (2.4)
[3]
NA
locator
section[10]/table-wrap[1]#t4
gaps array · 10 items
[0]
asset:data:geo:GSE30219 not downloaded
[1]
asset:data:geo:GSE30219 licence not read
[2]
asset:data:geo:GSE31210 not downloaded
[3]
asset:data:geo:GSE31210 licence not read
[4]
asset:data:geo:GSE31546 not downloaded
[5]
asset:data:geo:GSE31546 licence not read
[6]
asset:data:geo:GSE37745 not downloaded
[7]
asset:data:geo:GSE37745 licence not read
[8]
asset:data:geo:GSE50081 not downloaded
[9]
asset:data:geo:GSE50081 licence not read
analysis object · 4 fields
state
complete
methods array · 4 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
reordered
quote
Cox proportional hazards regression was used to identify survival-related biomarkers. Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites.
[1] object · 10 fields
id
method-2
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
[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
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 curve
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
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
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readiness object · 8 fields
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complete
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cox_ph
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
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tier
R1
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capability:computational_analysis
availability_state
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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
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[0]
GSE30219
[1]
GSE31546
[2]
GSE37745
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GSE50081
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GSE31210
resolved_accessions array · 5 items
[0]
GSE30219
[1]
GSE31546
[2]
GSE37745
[3]
GSE50081
[4]
GSE31210
statements array · 1 item
[0]
Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites. Among them, four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were integrated as a training group via data normalization, including 456 patients.
basis
The paper names GSE30219, GSE31546, GSE37745, GSE50081, GSE31210 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
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cox_ph
assets array · 6 items
[0]
source:pmid:30659574
[1]
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asset:table:pmid:30659574:2
[4]
asset:table:pmid:30659574:3
[5]
asset:table:pmid:30659574:4
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run_analysis
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data:geo:GSE30219
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review object · 5 fields
state
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MiniMax-M3.1-Flash
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minimax
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2026-10-31T18:13:33Z
independence
single_reader
evidence_check object · 2 fields
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null
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source:pmid:30659574
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PMID 30659574 full text
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data:geo:GSE30219
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pmid:30659574
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PMID 30659574 full text
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data:geo:GSE30219
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GEO GSE30219
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agent:corpus-assay-engine
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activity-read-30659574
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agent:minimax-reader
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[3]
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asset:data:geo:GSE37745 licence not read
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asset:data:geo:GSE37745 not downloaded
[8]
asset:data:geo:GSE50081 licence not read
[9]
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Cox proportional hazards regression was used to identify survival-related biomarkers. Five of them (GSE30219, GSE31546, GSE37745, GSE50081 and GSE31210) were downloaded from the Gene Expression Omnibus (GEO) and two (TCGA-LUSC and TCGA-LUAD) from The Cancer Genome Atlas (TCGA) websites.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30659574", "kind": "science-record", "revision": 8, "content_hash": "sha256:3b2e8b8e8fdd34f84b61c5569e4804572c734b0e907cd4bc1d0f31837a6806e2", "created_at": "2026-11-01T15:40:40Z", "updated_at": "2026-11-01T22:00:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Combined eight-long noncoding RNA signature: a new risk score predicting prognosis in elderly non-small cell lung cancer patients.", "doi": "10.18632/aging.101752", "pmid": "30659574", "authors": ["Runchen Miao", "Cuiyun Ge", "Xing Zhang", "Yang He", "Xiaohua Ma", "Xiaohong Xiang", "Jingxian Gu", "Yunong Fu", "Kai Qu", "Chang Liu", "Qifei Wu", "Ting Lin"], "journal": "Aging", "year": 2019, "abstract": "The elderly are the majority of patients with non-small cell lung cancer (NSCLC). Compared to the overall population's predictive guidance, an effective predictive guidance for elderly patients can better guide patients' postoperative treatment and improve overall survival (OS) and disease-free survival (DFS). Recently, the long non-coding RNAs (lncRNAs) have been found to play an important role in predicting tumor prognosis. To identify potential lncRNAs to predict survival in elderly patients with NSCLC, in the present study, we chose 456 elderly patients with NSCLC and analyzed differentially expressed lncRNAs from four Gene Expression Omnibus (GEO) datasets (GSE30219, GSE31546, GSE37745 and GSE50081). We then constructed an eight-lncRNA formula to predict elderly patients' prognosis in NSCLC. Furthermore, we validated the prognostic values of the new risk model in two independent datasets, TCGA (n=670) and GSE31210 (n=130). Our data suggested a significant association between risk model and patients' prognosis. Finally, stratification analysis further revealed the eight-lncRNA signature was an independent factor to predict OS and DFS in stage I elderly patients from both the discovery and validation groups. Functional prediction revealed that 8 lncRNAs have potential effects on tumor immune processes such as lymphocyte activation and TNF production in NSCLC. In summary, our data provides evidence that the eight-lncRNA signature could serve as an independent biomarker to predict prognosis in elderly patients with NSCLC especially in elderly stage I patients.", "claims": [{"id": "claim-method", "statement": "Cox proportional hazards regression was used to identify survival-related biomarkers. 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prognosis of NSCLC patients in the training group.", "rows": [["Gene name", "Ensemble ID", "Chr.", "Coordinate", "Coefficient", "Hazard ratio", "P value"], ["LOC284632", "ENSG00000230023", "1", "24,200,240-24,211,690", "0.690", "1.993", "0.085"], ["LINC00869", "ENSG00000277147", "1", "149,607,012-149,679,523", "0.272", "1.313", "0.083"], ["LINC00703", "ENSG00000224382", "10", "4,384,246-4,410,612", "0.829", "2.291", "0.064"], ["LINC00662", "ENSG00000261824", "19", "27,790,493-27,793,940", "0.076", "1.079", "0.473"], ["LINC00324", "ENSG00000178977", "17", "8,220,630-8,224,043", "-0.646", "0.524", "<0.0001"], ["ITGA9-AS1", "ENSG00000235257", "3", "37,753,689-37,861,780", "-0.445", "0.641", "0.174"], ["HOXA11-AS", "ENSG00000240990", "7", "27,185,408-27,189,293", "0.020", "1.020", "0.909"], ["DHRS4-AS1", "ENSG00000215256", "14", "23,938,731-23,955,112", "-0.204", "0.815", "0.106"]], "row_count": 9, "column_count": 7, "numeric_cells": 54, "header_rows": 0, "locator": "section[3]/table-wrap[1]#t1"}}, {"id": "asset:table:pmid:30659574:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:c6771b8120236a2f091fe172c5728a9774b979b69c700a30c8f0d6e4e70bd270", "bytes": 1988, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[6]/table-wrap[1]#t2", "version": null, "note": "The association between eight-lncRNA signature and OS of NSCLC patients in discovery and validating groups.", "structure": {"pmcid": "PMC6366982", "section_index": 6, "section_title": "The eight lncRNAs signature was associated with prognosis in stage I patients", "row_count": 18, "column_count": 10}, "table": {"label": "Table 2", "caption": "The association between eight-lncRNA signature and OS of NSCLC patients in discovery and validating groups.", "rows": [["Variable", "Discovery Group", "Validation Group-1", "Validation Group-2"], ["Number(High/Low)", "HR (95%CI)", "P value", "Number(High/Low)", "HR (95%CI)", "P value", "Number(High/Low)", "HR (95%CI)", "P value"], ["Total", "228/228", "2.08 (1.66-2.62)", "<0.001", "335/335", "1.48 (1.17-1.86)", "0.001", "65/65", "2.96 (1.28-6.83)", "0.017"], ["Gender", "", "", "", "", "", "", "", "", ""], ["Male", "171/142", "1.89(1.46-2.45)", "<0.001", "209/212", "1.46 (1.10-1.94)", "0.008", "35/25", "5.68 (1.41-11.47)", "0.010"], ["Female", "57/86", "2.34 (1.53-3.96)", "<0.001", "126/123", "1.55 (1.03-2.34)", "0.036", "30/40", "1.23 (0.31-4.96)", "0.772"], ["Smoking history", "", "", "", "", "", "", "", "", ""], ["Never smoker", "1/16", "4.60 (0.49-1458)", "0.117", "22/29", "1.74(0.72-4.17)", "0.189", "24/42", "1.75(0.43-7.65)", "0.420"], ["Ever smoker", "10/61", "0.96 (0.34-2.70)", "0.934", "217/237", "1.382(1.03-1.85)", "0.029", "41/22", "3.889(0.98-8.38)", "0.055"], ["Current smoker", "8/40", "1.11 (0.45-3.10)", "0.786", "84/59", "1.52(0.97-2.36)", "0.060", "0/0", "NA", "NA"], ["Histology", "", "", "", "", "", "", "", "", ""], ["Squamous Carcinoma", "141/95", "2.04 (1.30-2.86)", "0.001", "219/196", "1.27 (0.96-1.70)", "0.099", "0/0", "NA", "NA"], ["Adenocarcinoma", "68/152", "2.11 (1.60-3.54)", "<0.001", "116/139", "1.97 (1.32-2.95)", "<0.001", "0/0", "NA", "NA"], ["AJCC stage", "", "", "", "", "", "", "", "", ""], ["Stage I", "144/166", "2.12 (1.63-2.88)", "< 0.001", "180/174", "1.68 (1.19-2.38)", "0.003", "41/56", "4.39 (1.32-13.25)", "0.015"], ["Stage II", "39/50", "1.49 (0.88-2.57)", "0.138", "97/86", "1.44 (0.91-2.28)", "0.118", "24/9", "1.29 (0.37-4.37)", "0.703"], ["Stage III", "37/9", "1.84 (0.94-3.31)", "0.087", "54/57", "1.25 (0.76-2.06)", "0.382", "0/0", "NA", "NA"], ["Stage IV", "5/3", "1.08 (0.22-5.44)", "0.925", "3/13", "6.02 (0.52-70.04)", "0.003", "0/0", "NA", "NA"]], "row_count": 18, "column_count": 10, "numeric_cells": 103, "header_rows": 0, "locator": "section[6]/table-wrap[1]#t2"}}, {"id": "asset:table:pmid:30659574:3", "role": "table", "format": 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"0.002", "219/196", "1.46 (1.00-2.12)", "0.048", "0/0", "NA", "NA"], ["Adenocarcinoma", "86/165", "2.50 (1.73-5.48)", "<0.001", "116/139", "1.57 (1.05-2.35)", "0.021", "0/0", "NA", "NA"], ["AJCC stage", "", "", "", "", "", "", "", "", ""], ["Stage I", "165/193", "2.40 (1.61-3.81)", "< 0.001", "180/174", "1.61 (1.06-2.44)", "0.021", "43/54", "2.52 (1.15-5.64)", "0.022"], ["Stage II", "46/54", "2.20 (1.14-4.66)", "0.021", "97/86", "1.25 (0.76-2.06)", "0.382", "22/11", "2.67 (0.85-5.92)", "0.104"], ["Stage III", "35/6", "3.68 (1.30-6.70)", "0.015", "54/57", "1.21 (0.65-2.25)", "0.552", "0/0", "NA", "NA"], ["Stage IV", "5/4", "0.31 (0.00-2.29)", "0.221", "3/13", "NA", "0.635", "0/0", "NA", "NA"]], "row_count": 18, "column_count": 10, "numeric_cells": 102, "header_rows": 0, "locator": "section[6]/table-wrap[2]#t3"}}, {"id": "asset:table:pmid:30659574:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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