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pmid:34734491

Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma.

Haiwei Wang · Xinrui Wang · Liangpu Xu · Hua Cao · Ji Zhang

Cancer medicine · 2021 doi:10.1002/cam4.4386

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title
Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma.
doi
10.1002/cam4.4386
pmid
34734491
authors array · 5 items
[0]
Haiwei Wang
[1]
Xinrui Wang
[2]
Liangpu Xu
[3]
Hua Cao
[4]
Ji Zhang
journal
Cancer medicine
year
2021
abstract
BACKGROUND: Lung adenocarcinoma (LUAD) is a heterogeneous disease. However the inner sub-groups of LUAD have not been fully studied. Markers predicted the sub-groups and prognosis of LUAD are badly needed. AIMS: To identify biomarkers associated with the sub-groups and prognosis of LUAD. MATERIALS AND METHODS: Using nonnegative matrix factorization (NMF) clustering, LUAD patients from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) datasets and LUAD cell lines from Genomics of Drug Sensitivity in Cancer (GDSC) dataset were divided into different sub-consensuses based on the gene expression profiling. The overall survival of LUAD patients in each sub-consensus was determined by Kaplan-Meier survival analysis. The common genes which were differentially expressed in each sub-consensus of LUAD patients and LUAD cell lines were identified using TBtools. The predictive accuracy of TPX2 and SELENBP1 for theinner sub-consensuses of LUAD was determined by Receiver operator characteristic (ROC) analysis. The Kaplan-Meier survival analysis was also used to test the prognostic significance of TPX2 and SELENBP1 in LUAD patients. RESULTS: Using nonnegative matrix factorization clustering, LUAD patients in The Cancer Genome Atlas (TCGA), GSE30219, GSE42127, GSE50081, GSE68465, and GSE72094 datasets were divided into three sub-consensuses. Sub-consensus3 LUAD patients were with low overall survival and were with high TP53 mutations. Similarly, LUAD cell lines were also divided into three sub-consensuses by NMF method, and sub-consensus2 cell lines were resistant to EGFR inhibitors. Identification of the common genes which were differentially expressed in different sub-consensuses of LUAD patients and LUAD cell lines revealed that TPX2 was highly expressed in sub-consensus3 LUAD patients and sub-consensus2 LUAD cell lines. On the contrary, SELENBP1 was highly expressed in sub-consensus1 LUAD patients and sub-consensus1 LUAD cell lines. The expression levels of TPX2 and SELENBP1 could distinguish sub-consensus3 LUAD patients or sub-consensus2 LUAD cell lines from other sub-consensuses of LUAD patients or cell lines. Moreover, compared with normal lung tissues, TPX2 was highly expressed, while, SELENBP1 was lowly expressed in LUAD tissues. Furthermore, the higher expression levels of TPX2 were associated with the lower relapse-free survival and the lower overall survival of LUAD patients. While, the higher expression levels of SELENBP1 were associated with the higher relapse-free survival and higher overall survival. At last, we showed that TP53 mutant LUAD patients were with higher TPX2 and lower SELENBP1 expressions. DISCUSSION: Both iCluster and NMF method are proved to be robust LUAD classification systems. However, the LUAD patients in different iclusters had no significant clinical overall survival, while, sub-consensus3 LUAD patients from NMF classification were with lower overall survival than other sub-consensuses. CONCLUSIONS: By integrated analysis of 1765 LUAD patients and 64 LUAD cell lines, we showed that NMF was a robust inner sub-consensuses classification method of LUAD. TPX2 and SELENBP1 were differentially expressed in different LUAD sub- consensuses, and predicted the inner sub-consensuses of LUAD with high accuracy. TPX2 was an unfavorable prognostic biomarker of LUAD which was up-regulated in LUAD tissues and associated with the low overall survival of LUAD. SELENBP1 was a favorable prognostic biomarker of LUAD which was down-regulated in LUAD tissues and associated with the prolonged overall survival of LUAD.
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The overall survival of LUAD patients in each sub‐consensus was determined by the Kaplan–Meier survival analysis which was performed using “survival” package (version 3.1‐8) in R statistics software. The prognostic values of TPX2 and SELENBP1 on the relapse‐free survival or overall survival were also determined using “survival” package. P values were calculated by the log‐rank test.
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The overall survival of LUAD patients in each sub‐consensus was determined by the Kaplan–Meier survival analysis which was performed using “survival” package (version 3.1‐8) in R statistics software. The prognostic values of TPX2 and SELENBP1 on the relapse‐free survival or overall survival were also determined using “survival” package. P values were calculated by the log‐rank test.
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The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
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Integrated NMF analysis of 1765 LUAD patients and 64 LUAD cell lines identified robust LUAD sub-consensuses and identified TPX2 and SELENBP1 as sub-consensus predictors and prognostic biomarkers.
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By integrated analysis of 1765 LUAD patients and 64 LUAD cell lines, we showed that NMF was a robust inner sub‐consensuses classification method of LUAD.
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Integrated NMF analysis of 1765 LUAD patients and 64 LUAD cell lines identified robust LUAD sub-consensuses and identified TPX2 and SELENBP1 as sub-consensus predictors and prognostic biomarkers.
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GSM748121
[78]
GSM748122
[79]
GSM748123
[80]
GSM748124
[81]
GSM748125
[82]
GSM748126
[83]
GSM748127
[84]
GSM748128
[85]
GSM748129
[86]
GSM748130
[87]
GSM748131
[88]
GSM748132
[89]
GSM748133
[90]
GSM748134
[91]
GSM748135
[92]
GSM748136
[93]
GSM748137
[94]
GSM748138
[95]
GSM748139
[96]
GSM748140
[97]
GSM748141
[98]
GSM748142
[99]
GSM748143
[100]
GSM748144
[101]
GSM748145
[102]
GSM748146
[103]
GSM748147
[104]
GSM748148
[105]
GSM748149
[106]
GSM748150
[107]
GSM748151
[108]
GSM748152
[109]
GSM748153
[110]
GSM748154
[111]
GSM748155
[112]
GSM748156
[113]
GSM748157
[114]
GSM748158
[115]
GSM748159
[116]
GSM748160
[117]
GSM748161
[118]
GSM748162
[119]
GSM748163
[120]
GSM748164
[121]
GSM748165
[122]
GSM748166
[123]
GSM748167
[124]
GSM748168
[125]
GSM748169
[126]
GSM748170
[127]
GSM748171
[128]
GSM748172
[129]
GSM748173
[130]
GSM748174
[131]
GSM748175
[132]
GSM748176
[133]
GSM748177
[134]
GSM748178
[135]
GSM748179
[136]
GSM748180
[137]
GSM748181
[138]
GSM748182
[139]
GSM748183
[140]
GSM748184
[141]
GSM748185
[142]
GSM748186
[143]
GSM748187
[144]
GSM748188
[145]
GSM748189
[146]
GSM748191
[147]
GSM748192
[148]
GSM748193
[149]
GSM748195
[150]
GSM748196
[151]
GSM748197
[152]
GSM748198
[153]
GSM748199
[154]
GSM748200
[155]
GSM748201
[156]
GSM748202
[157]
GSM748203
[158]
GSM748206
[159]
GSM748207
[160]
GSM748209
[161]
GSM748210
[162]
GSM748211
[163]
GSM748212
[164]
GSM748213
[165]
GSM748214
[166]
GSM748215
[167]
GSM748216
[168]
GSM748217
[169]
GSM748218
[170]
GSM748219
[171]
GSM748220
[172]
GSM748221
[173]
GSM748222
[174]
GSM748223
[175]
GSM748224
[176]
GSM748225
[177]
GSM748226
[178]
GSM748227
[179]
GSM748228
[180]
GSM748229
[181]
GSM748232
[182]
GSM748233
[183]
GSM748234
[184]
GSM748235
[185]
GSM748239
[186]
GSM748240
[187]
GSM748242
[188]
GSM748243
[189]
GSM748244
[190]
GSM748245
[191]
GSM748246
[192]
GSM748247
[193]
GSM748248
[194]
GSM748249
[195]
GSM748250
[196]
GSM748251
[197]
GSM748252
[198]
GSM748253
[199]
GSM748254
[200]
GSM748255
[201]
GSM748256
[202]
GSM748257
[203]
GSM748258
[204]
GSM748259
[205]
GSM748260
[206]
GSM748261
[207]
GSM748262
[208]
GSM748263
[209]
GSM748264
[210]
GSM748265
[211]
GSM748266
[212]
GSM748267
[213]
GSM748268
[214]
GSM748269
[215]
GSM748270
[216]
GSM748271
[217]
GSM748272
[218]
GSM748273
[219]
GSM748274
[220]
GSM748275
[221]
GSM748276
[222]
GSM748277
[223]
GSM748278
[224]
GSM748279
[225]
GSM748280
[226]
GSM748281
[227]
GSM748282
[228]
GSM748283
[229]
GSM748284
[230]
GSM748285
[231]
GSM748286
[232]
GSM748287
[233]
GSM748288
[234]
GSM748291
[235]
GSM748292
[236]
GSM748294
[237]
GSM748295
[238]
GSM748296
[239]
GSM748297
[240]
GSM748298
[241]
GSM748299
[242]
GSM748300
[243]
GSM748301
[244]
GSM748302
[245]
GSM748303
[246]
GSM748304
[247]
GSM748305
[248]
GSM748306
[249]
GSM748307
[250]
GSM748308
[251]
GSM748309
[252]
GSM748310
[253]
GSM748311
[254]
GSM748312
[255]
GSM748313
[256]
GSM748314
[257]
GSM748315
[258]
GSM748316
[259]
GSM748317
[260]
GSM748318
[261]
GSM748319
[262]
GSM748320
[263]
GSM748321
[264]
GSM748323
[265]
GSM748324
[266]
GSM748325
[267]
GSM748326
[268]
GSM748327
[269]
GSM748328
[270]
GSM748329
[271]
GSM748330
[272]
GSM748331
[273]
GSM748332
[274]
GSM748333
[275]
GSM748334
[276]
GSM748335
[277]
GSM748336
[278]
GSM748337
[279]
GSM748338
[280]
GSM748339
[281]
GSM748341
[282]
GSM748342
[283]
GSM748343
[284]
GSM748344
[285]
GSM748345
[286]
GSM748346
[287]
GSM748347
[288]
GSM748348
[289]
GSM748349
[290]
GSM748350
[291]
GSM748351
[292]
GSM748352
[293]
GSM748353
[294]
GSM748354
[295]
GSM748355
[296]
GSM748356
[297]
GSM748357
[298]
GSM748358
[299]
GSM748359
[300]
GSM748360
[301]
GSM748361
[302]
GSM748362
[303]
GSM748363
[304]
GSM748364
[305]
GSM748365
[306]
GSM748366
sample_count
307
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
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:GSE32863
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=GSE32863
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE32863
version
null
note
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
access_statement_kind
data_availability_statement
sample_accessions array · 116 items
[0]
GSM813411
[1]
GSM813412
[2]
GSM813413
[3]
GSM813414
[4]
GSM813415
[5]
GSM813416
[6]
GSM813417
[7]
GSM813418
[8]
GSM813419
[9]
GSM813420
[10]
GSM813421
[11]
GSM813422
[12]
GSM813423
[13]
GSM813424
[14]
GSM813425
[15]
GSM813426
[16]
GSM813427
[17]
GSM813428
[18]
GSM813429
[19]
GSM813430
[20]
GSM813431
[21]
GSM813432
[22]
GSM813433
[23]
GSM813434
[24]
GSM813435
[25]
GSM813436
[26]
GSM813437
[27]
GSM813438
[28]
GSM813439
[29]
GSM813440
[30]
GSM813441
[31]
GSM813442
[32]
GSM813443
[33]
GSM813444
[34]
GSM813445
[35]
GSM813446
[36]
GSM813447
[37]
GSM813448
[38]
GSM813449
[39]
GSM813450
[40]
GSM813451
[41]
GSM813452
[42]
GSM813453
[43]
GSM813454
[44]
GSM813455
[45]
GSM813456
[46]
GSM813457
[47]
GSM813458
[48]
GSM813459
[49]
GSM813460
[50]
GSM813461
[51]
GSM813462
[52]
GSM813463
[53]
GSM813464
[54]
GSM813465
[55]
GSM813466
[56]
GSM813467
[57]
GSM813468
[58]
GSM813469
[59]
GSM813470
[60]
GSM813471
[61]
GSM813472
[62]
GSM813473
[63]
GSM813474
[64]
GSM813475
[65]
GSM813476
[66]
GSM813477
[67]
GSM813478
[68]
GSM813479
[69]
GSM813480
[70]
GSM813481
[71]
GSM813482
[72]
GSM813483
[73]
GSM813484
[74]
GSM813485
[75]
GSM813486
[76]
GSM813487
[77]
GSM813488
[78]
GSM813489
[79]
GSM813490
[80]
GSM813491
[81]
GSM813492
[82]
GSM813493
[83]
GSM813494
[84]
GSM813495
[85]
GSM813496
[86]
GSM813497
[87]
GSM813498
[88]
GSM813499
[89]
GSM813500
[90]
GSM813501
[91]
GSM813502
[92]
GSM813503
[93]
GSM813504
[94]
GSM813505
[95]
GSM813506
[96]
GSM813507
[97]
GSM813508
[98]
GSM813509
[99]
GSM813510
[100]
GSM813511
[101]
GSM813512
[102]
GSM813513
[103]
GSM813514
[104]
GSM813515
[105]
GSM813516
[106]
GSM813517
[107]
GSM813518
[108]
GSM813519
[109]
GSM813520
[110]
GSM813521
[111]
GSM813522
[112]
GSM813523
[113]
GSM813524
[114]
GSM813525
[115]
GSM813526
sample_count
116
group_sizes
null
group_sizes_basis
null
platform
6884
taxon
Homo sapiens
title
Gene expression analysis of lung adenocarcinoma and matched adjacent non-tumor lung tissue
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:GSE42127
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=GSE42127
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE42127
version
null
note
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
access_statement_kind
data_availability_statement
sample_accessions array · 176 items
[0]
GSM1032881
[1]
GSM1032882
[2]
GSM1032883
[3]
GSM1032884
[4]
GSM1032885
[5]
GSM1032886
[6]
GSM1032887
[7]
GSM1032888
[8]
GSM1032889
[9]
GSM1032890
[10]
GSM1032891
[11]
GSM1032892
[12]
GSM1032893
[13]
GSM1032894
[14]
GSM1032895
[15]
GSM1032896
[16]
GSM1032897
[17]
GSM1032898
[18]
GSM1032899
[19]
GSM1032900
[20]
GSM1032901
[21]
GSM1032902
[22]
GSM1032903
[23]
GSM1032904
[24]
GSM1032905
[25]
GSM1032906
[26]
GSM1032907
[27]
GSM1032908
[28]
GSM1032909
[29]
GSM1032910
[30]
GSM1032911
[31]
GSM1032912
[32]
GSM1032913
[33]
GSM1032914
[34]
GSM1032915
[35]
GSM1032916
[36]
GSM1032917
[37]
GSM1032918
[38]
GSM1032919
[39]
GSM1032920
[40]
GSM1032921
[41]
GSM1032922
[42]
GSM1032923
[43]
GSM1032924
[44]
GSM1032925
[45]
GSM1032926
[46]
GSM1032927
[47]
GSM1032928
[48]
GSM1032929
[49]
GSM1032930
[50]
GSM1032931
[51]
GSM1032932
[52]
GSM1032933
[53]
GSM1032934
[54]
GSM1032935
[55]
GSM1032936
[56]
GSM1032937
[57]
GSM1032938
[58]
GSM1032939
[59]
GSM1032940
[60]
GSM1032941
[61]
GSM1032942
[62]
GSM1032943
[63]
GSM1032944
[64]
GSM1032945
[65]
GSM1032946
[66]
GSM1032947
[67]
GSM1032948
[68]
GSM1032949
[69]
GSM1032950
[70]
GSM1032951
[71]
GSM1032952
[72]
GSM1032953
[73]
GSM1032954
[74]
GSM1032955
[75]
GSM1032956
[76]
GSM1032957
[77]
GSM1032958
[78]
GSM1032959
[79]
GSM1032960
[80]
GSM1032961
[81]
GSM1032962
[82]
GSM1032963
[83]
GSM1032964
[84]
GSM1032965
[85]
GSM1032966
[86]
GSM1032967
[87]
GSM1032968
[88]
GSM1032969
[89]
GSM1032970
[90]
GSM1032971
[91]
GSM1032972
[92]
GSM1032973
[93]
GSM1032974
[94]
GSM1032975
[95]
GSM1032976
[96]
GSM1032977
[97]
GSM1032978
[98]
GSM1032979
[99]
GSM1032980
[100]
GSM1032981
[101]
GSM1032982
[102]
GSM1032983
[103]
GSM1032984
[104]
GSM1032985
[105]
GSM1032986
[106]
GSM1032987
[107]
GSM1032988
[108]
GSM1032989
[109]
GSM1032990
[110]
GSM1032991
[111]
GSM1032992
[112]
GSM1032993
[113]
GSM1032994
[114]
GSM1032995
[115]
GSM1032996
[116]
GSM1032997
[117]
GSM1032998
[118]
GSM1032999
[119]
GSM1033000
[120]
GSM1033001
[121]
GSM1033002
[122]
GSM1033003
[123]
GSM1033004
[124]
GSM1033005
[125]
GSM1033006
[126]
GSM1033007
[127]
GSM1033008
[128]
GSM1033009
[129]
GSM1033010
[130]
GSM1033011
[131]
GSM1033012
[132]
GSM1033013
[133]
GSM1033014
[134]
GSM1033015
[135]
GSM1033016
[136]
GSM1033017
[137]
GSM1033018
[138]
GSM1033019
[139]
GSM1033020
[140]
GSM1033021
[141]
GSM1033022
[142]
GSM1033023
[143]
GSM1033024
[144]
GSM1033025
[145]
GSM1033026
[146]
GSM1033027
[147]
GSM1033028
[148]
GSM1033029
[149]
GSM1033030
[150]
GSM1033031
[151]
GSM1033032
[152]
GSM1033033
[153]
GSM1033034
[154]
GSM1033035
[155]
GSM1033036
[156]
GSM1033037
[157]
GSM1033038
[158]
GSM1033039
[159]
GSM1033040
[160]
GSM1033041
[161]
GSM1033042
[162]
GSM1033043
[163]
GSM1033044
[164]
GSM1033045
[165]
GSM1033046
[166]
GSM1033047
[167]
GSM1033048
[168]
GSM1033049
[169]
GSM1033050
[170]
GSM1033051
[171]
GSM1033052
[172]
GSM1033053
[173]
GSM1033054
[174]
GSM1033055
[175]
GSM1033056
sample_count
176
group_sizes
null
group_sizes_basis
null
platform
6884
taxon
Homo sapiens
title
Expression data for non-small-cell lung cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] 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
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
access_statement_kind
data_availability_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]
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[89]
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[93]
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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
[8] object · 15 fields
id
data:geo:GSE68465
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
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null
bytes
null
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reader_status
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identifier
GSE68465
version
null
note
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
access_statement_kind
data_availability_statement
sample_accessions array · 462 items
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[95]
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[97]
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[98]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
GSM1672385
[105]
GSM1672386
[106]
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[107]
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[108]
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[109]
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[110]
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[111]
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[112]
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[113]
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[114]
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[115]
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[118]
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[127]
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[128]
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[131]
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[133]
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[134]
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[135]
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[136]
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[137]
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[143]
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[144]
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[145]
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[146]
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[147]
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[148]
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[149]
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[150]
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[151]
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[152]
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[153]
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[154]
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[155]
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[156]
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[157]
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[158]
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[159]
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[160]
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[161]
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[162]
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[163]
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[164]
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[165]
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[166]
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[167]
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[168]
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[169]
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[170]
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[171]
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[172]
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[173]
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[174]
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[175]
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[176]
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[177]
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[178]
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[179]
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[180]
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[181]
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[182]
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[183]
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[184]
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[185]
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[186]
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[187]
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[188]
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[191]
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[192]
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[194]
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[195]
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[196]
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[197]
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[198]
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[199]
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[200]
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[201]
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[226]
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[227]
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[228]
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[230]
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[231]
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[232]
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[233]
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[234]
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[235]
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[236]
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[237]
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[238]
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[239]
GSM1672520
[240]
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[241]
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[242]
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[243]
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[244]
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[245]
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[246]
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[247]
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[248]
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[249]
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[250]
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[251]
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[252]
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[253]
GSM1672534
[254]
GSM1672535
[255]
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[256]
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[257]
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[258]
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[259]
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[260]
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[261]
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[262]
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[263]
GSM1672544
[264]
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[265]
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[266]
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[267]
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[268]
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[269]
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[270]
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[271]
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[284]
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[285]
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[286]
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[287]
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[291]
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[292]
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[293]
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[294]
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[295]
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[296]
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[297]
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[299]
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[300]
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[301]
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[302]
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[304]
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[305]
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[306]
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[307]
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[308]
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[309]
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[310]
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[312]
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[313]
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[323]
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[325]
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[326]
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[327]
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[328]
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[329]
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[331]
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[332]
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[334]
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[335]
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[336]
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[337]
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[365]
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[371]
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[373]
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[374]
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[377]
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[378]
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[379]
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[380]
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[381]
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[385]
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[386]
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[387]
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[393]
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[395]
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[399]
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sample_count
462
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
caArray_jacob-00182: Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[9] object · 15 fields
id
data:geo:GSE72094
role
raw
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geo-series
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application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72094
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GSE72094
version
null
note
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
access_statement_kind
data_availability_statement
sample_accessions array · 442 items
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[24]
GSM1854821
[25]
GSM1854822
[26]
GSM1854823
[27]
GSM1854824
[28]
GSM1854825
[29]
GSM1854826
[30]
GSM1854827
[31]
GSM1854828
[32]
GSM1854829
[33]
GSM1854830
[34]
GSM1854831
[35]
GSM1854832
[36]
GSM1854833
[37]
GSM1854834
[38]
GSM1854835
[39]
GSM1854836
[40]
GSM1854837
[41]
GSM1854838
[42]
GSM1854839
[43]
GSM1854840
[44]
GSM1854841
[45]
GSM1854842
[46]
GSM1854843
[47]
GSM1854844
[48]
GSM1854845
[49]
GSM1854846
[50]
GSM1854847
[51]
GSM1854848
[52]
GSM1854849
[53]
GSM1854850
[54]
GSM1854851
[55]
GSM1854852
[56]
GSM1854853
[57]
GSM1854854
[58]
GSM1854855
[59]
GSM1854856
[60]
GSM1854857
[61]
GSM1854858
[62]
GSM1854859
[63]
GSM1854860
[64]
GSM1854861
[65]
GSM1854862
[66]
GSM1854863
[67]
GSM1854864
[68]
GSM1854865
[69]
GSM1854866
[70]
GSM1854867
[71]
GSM1854868
[72]
GSM1854869
[73]
GSM1854870
[74]
GSM1854871
[75]
GSM1854872
[76]
GSM1854873
[77]
GSM1854874
[78]
GSM1854875
[79]
GSM1854876
[80]
GSM1854877
[81]
GSM1854878
[82]
GSM1854879
[83]
GSM1854880
[84]
GSM1854881
[85]
GSM1854882
[86]
GSM1854883
[87]
GSM1854884
[88]
GSM1854885
[89]
GSM1854886
[90]
GSM1854887
[91]
GSM1854888
[92]
GSM1854889
[93]
GSM1854890
[94]
GSM1854891
[95]
GSM1854892
[96]
GSM1854893
[97]
GSM1854894
[98]
GSM1854895
[99]
GSM1854896
[100]
GSM1854897
[101]
GSM1854898
[102]
GSM1854899
[103]
GSM1854900
[104]
GSM1854901
[105]
GSM1854902
[106]
GSM1854903
[107]
GSM1854904
[108]
GSM1854905
[109]
GSM1854906
[110]
GSM1854907
[111]
GSM1854908
[112]
GSM1854909
[113]
GSM1854910
[114]
GSM1854911
[115]
GSM1854912
[116]
GSM1854913
[117]
GSM1854914
[118]
GSM1854915
[119]
GSM1854916
[120]
GSM1854917
[121]
GSM1854918
[122]
GSM1854919
[123]
GSM1854920
[124]
GSM1854921
[125]
GSM1854922
[126]
GSM1854923
[127]
GSM1854924
[128]
GSM1854925
[129]
GSM1854926
[130]
GSM1854927
[131]
GSM1854928
[132]
GSM1854929
[133]
GSM1854930
[134]
GSM1854931
[135]
GSM1854932
[136]
GSM1854933
[137]
GSM1854934
[138]
GSM1854935
[139]
GSM1854936
[140]
GSM1854937
[141]
GSM1854938
[142]
GSM1854939
[143]
GSM1854940
[144]
GSM1854941
[145]
GSM1854942
[146]
GSM1854943
[147]
GSM1854944
[148]
GSM1854945
[149]
GSM1854946
[150]
GSM1854947
[151]
GSM1854948
[152]
GSM1854949
[153]
GSM1854950
[154]
GSM1854951
[155]
GSM1854952
[156]
GSM1854953
[157]
GSM1854954
[158]
GSM1854955
[159]
GSM1854956
[160]
GSM1854957
[161]
GSM1854958
[162]
GSM1854959
[163]
GSM1854960
[164]
GSM1854961
[165]
GSM1854962
[166]
GSM1854963
[167]
GSM1854964
[168]
GSM1854965
[169]
GSM1854966
[170]
GSM1854967
[171]
GSM1854968
[172]
GSM1854969
[173]
GSM1854970
[174]
GSM1854971
[175]
GSM1854972
[176]
GSM1854973
[177]
GSM1854974
[178]
GSM1854975
[179]
GSM1854976
[180]
GSM1854977
[181]
GSM1854978
[182]
GSM1854979
[183]
GSM1854980
[184]
GSM1854981
[185]
GSM1854982
[186]
GSM1854983
[187]
GSM1854984
[188]
GSM1854985
[189]
GSM1854986
[190]
GSM1854987
[191]
GSM1854988
[192]
GSM1854989
[193]
GSM1854990
[194]
GSM1854991
[195]
GSM1854992
[196]
GSM1854993
[197]
GSM1854994
[198]
GSM1854995
[199]
GSM1854996
[200]
GSM1854997
[201]
GSM1854998
[202]
GSM1854999
[203]
GSM1855000
[204]
GSM1855001
[205]
GSM1855002
[206]
GSM1855003
[207]
GSM1855004
[208]
GSM1855005
[209]
GSM1855006
[210]
GSM1855007
[211]
GSM1855008
[212]
GSM1855009
[213]
GSM1855010
[214]
GSM1855011
[215]
GSM1855012
[216]
GSM1855013
[217]
GSM1855014
[218]
GSM1855015
[219]
GSM1855016
[220]
GSM1855017
[221]
GSM1855018
[222]
GSM1855019
[223]
GSM1855020
[224]
GSM1855021
[225]
GSM1855022
[226]
GSM1855023
[227]
GSM1855024
[228]
GSM1855025
[229]
GSM1855026
[230]
GSM1855027
[231]
GSM1855028
[232]
GSM1855029
[233]
GSM1855030
[234]
GSM1855031
[235]
GSM1855032
[236]
GSM1855033
[237]
GSM1855034
[238]
GSM1855035
[239]
GSM1855036
[240]
GSM1855037
[241]
GSM1855038
[242]
GSM1855039
[243]
GSM1855040
[244]
GSM1855041
[245]
GSM1855042
[246]
GSM1855043
[247]
GSM1855044
[248]
GSM1855045
[249]
GSM1855046
[250]
GSM1855047
[251]
GSM1855048
[252]
GSM1855049
[253]
GSM1855050
[254]
GSM1855051
[255]
GSM1855052
[256]
GSM1855053
[257]
GSM1855054
[258]
GSM1855055
[259]
GSM1855056
[260]
GSM1855057
[261]
GSM1855058
[262]
GSM1855059
[263]
GSM1855060
[264]
GSM1855061
[265]
GSM1855062
[266]
GSM1855063
[267]
GSM1855064
[268]
GSM1855065
[269]
GSM1855066
[270]
GSM1855067
[271]
GSM1855068
[272]
GSM1855069
[273]
GSM1855070
[274]
GSM1855071
[275]
GSM1855072
[276]
GSM1855073
[277]
GSM1855074
[278]
GSM1855075
[279]
GSM1855076
[280]
GSM1855077
[281]
GSM1855078
[282]
GSM1855079
[283]
GSM1855080
[284]
GSM1855081
[285]
GSM1855082
[286]
GSM1855083
[287]
GSM1855084
[288]
GSM1855085
[289]
GSM1855086
[290]
GSM1855087
[291]
GSM1855088
[292]
GSM1855089
[293]
GSM1855090
[294]
GSM1855091
[295]
GSM1855092
[296]
GSM1855093
[297]
GSM1855094
[298]
GSM1855095
[299]
GSM1855096
[300]
GSM1855097
[301]
GSM1855098
[302]
GSM1855099
[303]
GSM1855100
[304]
GSM1855101
[305]
GSM1855102
[306]
GSM1855103
[307]
GSM1855104
[308]
GSM1855105
[309]
GSM1855106
[310]
GSM1855107
[311]
GSM1855108
[312]
GSM1855109
[313]
GSM1855110
[314]
GSM1855111
[315]
GSM1855112
[316]
GSM1855113
[317]
GSM1855114
[318]
GSM1855115
[319]
GSM1855116
[320]
GSM1855117
[321]
GSM1855118
[322]
GSM1855119
[323]
GSM1855120
[324]
GSM1855121
[325]
GSM1855122
[326]
GSM1855123
[327]
GSM1855124
[328]
GSM1855125
[329]
GSM1855126
[330]
GSM1855127
[331]
GSM1855128
[332]
GSM1855129
[333]
GSM1855130
[334]
GSM1855131
[335]
GSM1855132
[336]
GSM1855133
[337]
GSM1855134
[338]
GSM1855135
[339]
GSM1855136
[340]
GSM1855137
[341]
GSM1855138
[342]
GSM1855139
[343]
GSM1855140
[344]
GSM1855141
[345]
GSM1855142
[346]
GSM1855143
[347]
GSM1855144
[348]
GSM1855145
[349]
GSM1855146
[350]
GSM1855147
[351]
GSM1855148
[352]
GSM1855149
[353]
GSM1855150
[354]
GSM1855151
[355]
GSM1855152
[356]
GSM1855153
[357]
GSM1855154
[358]
GSM1855155
[359]
GSM1855156
[360]
GSM1855157
[361]
GSM1855158
[362]
GSM1855159
[363]
GSM1855160
[364]
GSM1855161
[365]
GSM1855162
[366]
GSM1855163
[367]
GSM1855164
[368]
GSM1855165
[369]
GSM1855166
[370]
GSM1855167
[371]
GSM1855168
[372]
GSM1855169
[373]
GSM1855170
[374]
GSM1855171
[375]
GSM1855172
[376]
GSM1855173
[377]
GSM1855174
[378]
GSM1855175
[379]
GSM1855176
[380]
GSM1855177
[381]
GSM1855178
[382]
GSM1855179
[383]
GSM1855180
[384]
GSM1855181
[385]
GSM1855182
[386]
GSM1855183
[387]
GSM1855184
[388]
GSM1855185
[389]
GSM1855186
[390]
GSM1855187
[391]
GSM1855188
[392]
GSM1855189
[393]
GSM1855190
[394]
GSM1855191
[395]
GSM1855192
[396]
GSM1855193
[397]
GSM1855194
[398]
GSM1855195
[399]
GSM1855196
[400]
GSM1855197
[401]
GSM1855198
[402]
GSM1855199
[403]
GSM1855200
[404]
GSM1855201
[405]
GSM1855202
[406]
GSM1855203
[407]
GSM1855204
[408]
GSM1855205
[409]
GSM1855206
[410]
GSM1855207
[411]
GSM1855208
[412]
GSM1855209
[413]
GSM1855210
[414]
GSM1855211
[415]
GSM1855212
[416]
GSM1855213
[417]
GSM1855214
[418]
GSM1855215
[419]
GSM1855216
[420]
GSM1855217
[421]
GSM1855218
[422]
GSM1855219
[423]
GSM1855220
[424]
GSM1855221
[425]
GSM1855222
[426]
GSM1855223
[427]
GSM1855224
[428]
GSM1855225
[429]
GSM1855226
[430]
GSM1855227
[431]
GSM1855228
[432]
GSM1855229
[433]
GSM1855230
[434]
GSM1855231
[435]
GSM1855232
[436]
GSM1855233
[437]
GSM1855234
[438]
GSM1855235
[439]
GSM1855236
[440]
GSM1855237
[441]
GSM1855238
sample_count
442
group_sizes
null
group_sizes_basis
null
platform
15048
taxon
Homo sapiens
title
KRAS mutation-associated gene expression, p53 and STK11 mutations, proliferation and immune surveillance in lung adenocarcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[10] object · 15 fields
id
data:geo:GSE7670
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=GSE7670
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE7670
version
null
note
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
access_statement_kind
data_availability_statement
sample_accessions array · 66 items
[0]
GSM185811
[1]
GSM185812
[2]
GSM185813
[3]
GSM185814
[4]
GSM185815
[5]
GSM185816
[6]
GSM185817
[7]
GSM185818
[8]
GSM185819
[9]
GSM185820
[10]
GSM185821
[11]
GSM185822
[12]
GSM185823
[13]
GSM185824
[14]
GSM185825
[15]
GSM185826
[16]
GSM185827
[17]
GSM185828
[18]
GSM185829
[19]
GSM185830
[20]
GSM185831
[21]
GSM185832
[22]
GSM185833
[23]
GSM185834
[24]
GSM185835
[25]
GSM185836
[26]
GSM185837
[27]
GSM185838
[28]
GSM185839
[29]
GSM185840
[30]
GSM185841
[31]
GSM185842
[32]
GSM185843
[33]
GSM185844
[34]
GSM185845
[35]
GSM185846
[36]
GSM185847
[37]
GSM185848
[38]
GSM185849
[39]
GSM185850
[40]
GSM185851
[41]
GSM185852
[42]
GSM185853
[43]
GSM185854
[44]
GSM185855
[45]
GSM185856
[46]
GSM185857
[47]
GSM185858
[48]
GSM185859
[49]
GSM185860
[50]
GSM185861
[51]
GSM185862
[52]
GSM185863
[53]
GSM185864
[54]
GSM185865
[55]
GSM185866
[56]
GSM185867
[57]
GSM185868
[58]
GSM185869
[59]
GSM185870
[60]
GSM185871
[61]
GSM185872
[62]
GSM185873
[63]
GSM185874
[64]
GSM185875
[65]
GSM185876
sample_count
66
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Expression data from Lung cancer
resolution_checked_at
2026-11-01T15:14:33Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 20 items
[0]
asset:data:geo:GSE10072 not downloaded
[1]
asset:data:geo:GSE10072 licence not read
[2]
asset:data:geo:GSE18842 not downloaded
[3]
asset:data:geo:GSE18842 licence not read
[4]
asset:data:geo:GSE27262 not downloaded
[5]
asset:data:geo:GSE27262 licence not read
[6]
asset:data:geo:GSE30219 not downloaded
[7]
asset:data:geo:GSE30219 licence not read
[8]
asset:data:geo:GSE32863 not downloaded
[9]
asset:data:geo:GSE32863 licence not read
[10]
asset:data:geo:GSE42127 not downloaded
[11]
asset:data:geo:GSE42127 licence not read
[12]
asset:data:geo:GSE50081 not downloaded
[13]
asset:data:geo:GSE50081 licence not read
[14]
asset:data:geo:GSE68465 not downloaded
[15]
asset:data:geo:GSE68465 licence not read
[16]
asset:data:geo:GSE72094 not downloaded
[17]
asset:data:geo:GSE72094 licence not read
[18]
asset:data:geo:GSE7670 not downloaded
[19]
asset:data:geo:GSE7670 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
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
1
band
verbatim
quote
The overall survival of LUAD patients in each sub‐consensus was determined by the Kaplan–Meier survival analysis which was performed using “survival” package (version 3.1‐8) in R statistics software. The prognostic values of TPX2 and SELENBP1 on the relapse‐free survival or overall survival were also determined using “survival” package. P values were calculated by the log‐rank test.
[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
0.7
band
medium
quote
Kaplan-Meier
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
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]
logrank_test
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: log_rank_test.
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 · 10 items
[0]
GSE30219
[1]
GSE42127
[2]
GSE50081
[3]
GSE68465
[4]
GSE72094
[5]
GSE7670
[6]
GSE10072
[7]
GSE18842
[8]
GSE27262
[9]
GSE32863
resolved_accessions array · 10 items
[0]
GSE30219
[1]
GSE42127
[2]
GSE50081
[3]
GSE68465
[4]
GSE72094
[5]
GSE7670
[6]
GSE10072
[7]
GSE18842
[8]
GSE27262
[9]
GSE32863
statements array · 1 item
[0]
The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.
basis
The paper names GSE30219, GSE42127, GSE50081, GSE68465, GSE72094, GSE7670, GSE10072, GSE18842, GSE27262, GSE32863 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]
logrank_test
assets array · 2 items
[0]
source:pmid:34734491
[1]
data:geo:GSE10072
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:GSE10072
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
2026-11-01T17:05:39Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
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The overall survival of LUAD patients in each sub‐consensus was determined by the Kaplan–Meier survival analysis which was performed using “survival” package (version 3.1‐8) in R statistics software. The prognostic values of TPX2 and SELENBP1 on the relapse‐free survival or overall survival were also determined using “survival” package. P values were calculated by the log‐rank test.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34734491", "kind": "science-record", "revision": 3, "content_hash": "sha256:86bcc4a43fa1317fb90ed44f39bd0c722b383023bdba299e98fab64d32f461aa", "created_at": "2026-11-01T17:36:25Z", "updated_at": "2026-11-01T21:26:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma.", "doi": "10.1002/cam4.4386", "pmid": "34734491", "authors": ["Haiwei Wang", "Xinrui Wang", "Liangpu Xu", "Hua Cao", "Ji Zhang"], "journal": "Cancer medicine", "year": 2021, "abstract": "BACKGROUND: Lung adenocarcinoma (LUAD) is a heterogeneous disease. However the inner sub-groups of LUAD have not been fully studied. Markers predicted the sub-groups and prognosis of LUAD are badly needed.\nAIMS: To identify biomarkers associated with the sub-groups and prognosis of LUAD.\nMATERIALS AND METHODS: Using nonnegative matrix factorization (NMF) clustering, LUAD patients from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) datasets and LUAD cell lines from Genomics of Drug Sensitivity in Cancer (GDSC) dataset were divided into different sub-consensuses based on the gene expression profiling. The overall survival of LUAD patients in each sub-consensus was determined by Kaplan-Meier survival analysis. The common genes which were differentially expressed in each sub-consensus of LUAD patients and LUAD cell lines were identified using TBtools. The predictive accuracy of TPX2 and SELENBP1 for theinner sub-consensuses of LUAD was determined by Receiver operator characteristic (ROC) analysis. The Kaplan-Meier survival analysis was also used to test the prognostic significance of TPX2 and SELENBP1 in LUAD patients.\nRESULTS: Using nonnegative matrix factorization clustering, LUAD patients in The Cancer Genome Atlas (TCGA), GSE30219, GSE42127, GSE50081, GSE68465, and GSE72094 datasets were divided into three sub-consensuses. Sub-consensus3 LUAD patients were with low overall survival and were with high TP53 mutations. Similarly, LUAD cell lines were also divided into three sub-consensuses by NMF method, and sub-consensus2 cell lines were resistant to EGFR inhibitors. Identification of the common genes which were differentially expressed in different sub-consensuses of LUAD patients and LUAD cell lines revealed that TPX2 was highly expressed in sub-consensus3 LUAD patients and sub-consensus2 LUAD cell lines. On the contrary, SELENBP1 was highly expressed in sub-consensus1 LUAD patients and sub-consensus1 LUAD cell lines. The expression levels of TPX2 and SELENBP1 could distinguish sub-consensus3 LUAD patients or sub-consensus2 LUAD cell lines from other sub-consensuses of LUAD patients or cell lines. Moreover, compared with normal lung tissues, TPX2 was highly expressed, while, SELENBP1 was lowly expressed in LUAD tissues. Furthermore, the higher expression levels of TPX2 were associated with the lower relapse-free survival and the lower overall survival of LUAD patients. While, the higher expression levels of SELENBP1 were associated with the higher relapse-free survival and higher overall survival. At last, we showed that TP53 mutant LUAD patients were with higher TPX2 and lower SELENBP1 expressions.\nDISCUSSION: Both iCluster and NMF method are proved to be robust LUAD classification systems. However, the LUAD patients in different iclusters had no significant clinical overall survival, while, sub-consensus3 LUAD patients from NMF classification were with lower overall survival than other sub-consensuses.\nCONCLUSIONS: By integrated analysis of 1765 LUAD patients and 64 LUAD cell lines, we showed that NMF was a robust inner sub-consensuses classification method of LUAD. TPX2 and SELENBP1 were differentially expressed in different LUAD sub- consensuses, and predicted the inner sub-consensuses of LUAD with high accuracy. TPX2 was an unfavorable prognostic biomarker of LUAD which was up-regulated in LUAD tissues and associated with the low overall survival of LUAD. SELENBP1 was a favorable prognostic biomarker of LUAD which was down-regulated in LUAD tissues and associated with the prolonged overall survival of LUAD.", "claims": [{"id": "claim-method", "statement": "The overall survival of LUAD patients in each sub‐consensus was determined by the Kaplan–Meier survival analysis which was performed using “survival” package (version 3.1‐8) in R statistics software. The prognostic values of TPX2 and SELENBP1 on the relapse‐free survival or overall survival were also determined using “survival” package. P values were calculated by the log‐rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34734491", "locator": "sections[5] \"Survival analysis\" paragraph 2", "quote": "The overall survival of LUAD patients in each sub‐consensus was determined by the Kaplan–Meier survival analysis which was performed using “survival” package (version 3.1‐8) in R statistics software. The prognostic values of TPX2 and SELENBP1 on the relapse‐free survival or overall survival were also determined using “survival” package. P values were calculated by the log‐rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34734491", "locator": "sections[28] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "The datasets generated and/or analyzed during the current study are available in TCGA (tcga.xenahubs.net) and GEO (www.ncbi.nlm.nih.gov/geo) repositories."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Integrated NMF analysis of 1765 LUAD patients and 64 LUAD cell lines identified robust LUAD sub-consensuses and identified TPX2 and SELENBP1 as sub-consensus predictors and prognostic biomarkers.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34734491", "locator": "sections[0] \"Abstract\" paragraph 6", "quote": "By integrated analysis of 1765 LUAD patients and 64 LUAD cell lines, we showed that NMF was a robust inner sub‐consensuses classification method of LUAD."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Integrated NMF analysis of 1765 LUAD patients and 64 LUAD cell lines identified robust LUAD sub-consensuses and identified TPX2 and SELENBP1 as sub-consensus predictors and prognostic biomarkers.", "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:34734491"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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The prognostic values of TPX2 and SELENBP1 on the relapse‐free survival or overall survival were also determined using “survival” package. 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