Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:34140574

DCBLD1 is associated with the integrin signaling pathway and has prognostic value in non-small cell lung and invasive breast carcinoma.

Guillaume B Cardin · Monique Bernard · Francis Rodier · Apostolos Christopoulos

Scientific reports · 2021 doi:10.1038/s41598-021-92090-6

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:34140574
kind
science-record
content_hash
sha256:32ea0094490c07a17e3f3ac4873cb167c8215a9d0811d03eec53cf2b6ea1c13f
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:39Z
updated_at
2026-11-01T21:25:33Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
DCBLD1 is associated with the integrin signaling pathway and has prognostic value in non-small cell lung and invasive breast carcinoma.
doi
10.1038/s41598-021-92090-6
pmid
34140574
authors array · 4 items
[0]
Guillaume B Cardin
[1]
Monique Bernard
[2]
Francis Rodier
[3]
Apostolos Christopoulos
journal
Scientific reports
year
2021
abstract
Germline single nucleotide polymorphisms in the promoter region of the DCBLD1 gene are associated with non-smoking cases of both non-small cell lung carcinoma (NSCLC) and human papillomavirus-negative head and neck cancer. However the clinical relevance and function of DCBLD1 remain unclear. This multicenter retrospective study was designed to evaluate the prognostic value and function of DCBLD1 in the four main solid cancers: NSCLC, invasive breast carcinoma, colorectal adenocarcinoma and prostate adenocarcinoma. We included the following cohorts: GSE81089 NSCLC, METABRIC invasive breast carcinoma, GSE14333 colorectal adenocarcinoma, GSE70770 prostate adenocarcinoma and The Cancer Genome Atlas (TCGA) Firehose Legacy cohorts of all four cancers. DCBLD1 gene expression was associated with a worse overall survival in multivariate analyses for both NSCLC cohorts (TCGA: P = 0.03 and GSE81089: P = 0.04) and both invasive breast carcinoma cohorts (TCGA: P = 0.02 and METABRIC: P < 0.001). Patients with high DCBLD1 expression showed an upregulation of the integrin signaling pathway in comparison to those with low DCBLD1 expression in the TCGA NSCLC cohort (FDR = 5.16 × 10-14) and TCGA invasive breast carcinoma cohort (FDR = 1.94 × 10-05).
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34140574
locator
sections[13] "Statistics" paragraph 2
quote
HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34140574
locator
sections[11] "Study cohorts" paragraph 3
quote
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
null
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:34140574
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE14333
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE14333
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 7 items
[0] object · 15 fields
id
source:pmid:34140574
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1038/s41598-021-92090-6
sha256
sha256:dd344d02c8f4b6e47ffbad65c35d1bdd8e2448775865b2585342ce1c94bc4d8b
bytes
37726
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1038/s41598-021-92090-6
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC8211811
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE14333
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=GSE14333
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE14333
version
null
note
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
access_statement_kind
repository_route_statement
sample_accessions array · 290 items
[0]
GSM358341
[1]
GSM358342
[2]
GSM358343
[3]
GSM358344
[4]
GSM358345
[5]
GSM358346
[6]
GSM358347
[7]
GSM358348
[8]
GSM358349
[9]
GSM358350
[10]
GSM358351
[11]
GSM358352
[12]
GSM358353
[13]
GSM358354
[14]
GSM358355
[15]
GSM358356
[16]
GSM358357
[17]
GSM358358
[18]
GSM358359
[19]
GSM358360
[20]
GSM358361
[21]
GSM358362
[22]
GSM358363
[23]
GSM358364
[24]
GSM358365
[25]
GSM358366
[26]
GSM358367
[27]
GSM358368
[28]
GSM358369
[29]
GSM358370
[30]
GSM358371
[31]
GSM358372
[32]
GSM358373
[33]
GSM358374
[34]
GSM358375
[35]
GSM358376
[36]
GSM358377
[37]
GSM358378
[38]
GSM358379
[39]
GSM358380
[40]
GSM358381
[41]
GSM358382
[42]
GSM358383
[43]
GSM358384
[44]
GSM358385
[45]
GSM358386
[46]
GSM358387
[47]
GSM358388
[48]
GSM358389
[49]
GSM358390
[50]
GSM358391
[51]
GSM358392
[52]
GSM358393
[53]
GSM358394
[54]
GSM358395
[55]
GSM358396
[56]
GSM358397
[57]
GSM358398
[58]
GSM358399
[59]
GSM358400
[60]
GSM358401
[61]
GSM358402
[62]
GSM358403
[63]
GSM358404
[64]
GSM358405
[65]
GSM358406
[66]
GSM358407
[67]
GSM358408
[68]
GSM358409
[69]
GSM358410
[70]
GSM358411
[71]
GSM358412
[72]
GSM358413
[73]
GSM358414
[74]
GSM358415
[75]
GSM358416
[76]
GSM358417
[77]
GSM358418
[78]
GSM358419
[79]
GSM358420
[80]
GSM358421
[81]
GSM358422
[82]
GSM358423
[83]
GSM358424
[84]
GSM358425
[85]
GSM358426
[86]
GSM358427
[87]
GSM358428
[88]
GSM358429
[89]
GSM358430
[90]
GSM358431
[91]
GSM358432
[92]
GSM358433
[93]
GSM358434
[94]
GSM358435
[95]
GSM358436
[96]
GSM358437
[97]
GSM358438
[98]
GSM358439
[99]
GSM358440
[100]
GSM358441
[101]
GSM358442
[102]
GSM358443
[103]
GSM358444
[104]
GSM358445
[105]
GSM358446
[106]
GSM358447
[107]
GSM358448
[108]
GSM358449
[109]
GSM358450
[110]
GSM358451
[111]
GSM358452
[112]
GSM358453
[113]
GSM358454
[114]
GSM358455
[115]
GSM358456
[116]
GSM358457
[117]
GSM358458
[118]
GSM358459
[119]
GSM358460
[120]
GSM358461
[121]
GSM358462
[122]
GSM358463
[123]
GSM358464
[124]
GSM358465
[125]
GSM358466
[126]
GSM358467
[127]
GSM358468
[128]
GSM358469
[129]
GSM358470
[130]
GSM358471
[131]
GSM358472
[132]
GSM358473
[133]
GSM358474
[134]
GSM358475
[135]
GSM358476
[136]
GSM358477
[137]
GSM358478
[138]
GSM358479
[139]
GSM358480
[140]
GSM358481
[141]
GSM358482
[142]
GSM358483
[143]
GSM358484
[144]
GSM358485
[145]
GSM358486
[146]
GSM358487
[147]
GSM358488
[148]
GSM358489
[149]
GSM358490
[150]
GSM358491
[151]
GSM358492
[152]
GSM358493
[153]
GSM358494
[154]
GSM358495
[155]
GSM358496
[156]
GSM358497
[157]
GSM358498
[158]
GSM358499
[159]
GSM358500
[160]
GSM358501
[161]
GSM358502
[162]
GSM358503
[163]
GSM358504
[164]
GSM358505
[165]
GSM358506
[166]
GSM358507
[167]
GSM358508
[168]
GSM358509
[169]
GSM358510
[170]
GSM358511
[171]
GSM358512
[172]
GSM358513
[173]
GSM358514
[174]
GSM358515
[175]
GSM358516
[176]
GSM358517
[177]
GSM358518
[178]
GSM358519
[179]
GSM358520
[180]
GSM358521
[181]
GSM358522
[182]
GSM358523
[183]
GSM358524
[184]
GSM358525
[185]
GSM358526
[186]
GSM358527
[187]
GSM358528
[188]
GSM358529
[189]
GSM358530
[190]
GSM358531
[191]
GSM358532
[192]
GSM358533
[193]
GSM358534
[194]
GSM358535
[195]
GSM358536
[196]
GSM358537
[197]
GSM358538
[198]
GSM358539
[199]
GSM358540
[200]
GSM358541
[201]
GSM358542
[202]
GSM358543
[203]
GSM358544
[204]
GSM358545
[205]
GSM358546
[206]
GSM358547
[207]
GSM358548
[208]
GSM358549
[209]
GSM358550
[210]
GSM358551
[211]
GSM358552
[212]
GSM358553
[213]
GSM358554
[214]
GSM358555
[215]
GSM358556
[216]
GSM358557
[217]
GSM358558
[218]
GSM358559
[219]
GSM358560
[220]
GSM358561
[221]
GSM358562
[222]
GSM358563
[223]
GSM358564
[224]
GSM358565
[225]
GSM358566
[226]
GSM358567
[227]
GSM358568
[228]
GSM358569
[229]
GSM358570
[230]
GSM358571
[231]
GSM358572
[232]
GSM358573
[233]
GSM358574
[234]
GSM358575
[235]
GSM358576
[236]
GSM358577
[237]
GSM358578
[238]
GSM358579
[239]
GSM358580
[240]
GSM358581
[241]
GSM358582
[242]
GSM358583
[243]
GSM358584
[244]
GSM358585
[245]
GSM358586
[246]
GSM358587
[247]
GSM358588
[248]
GSM358589
[249]
GSM358590
[250]
GSM358591
[251]
GSM358592
[252]
GSM358593
[253]
GSM358594
[254]
GSM358595
[255]
GSM358596
[256]
GSM358597
[257]
GSM358598
[258]
GSM358599
[259]
GSM358600
[260]
GSM358601
[261]
GSM358602
[262]
GSM358603
[263]
GSM358604
[264]
GSM358605
[265]
GSM358606
[266]
GSM358607
[267]
GSM358608
[268]
GSM358609
[269]
GSM358610
[270]
GSM358611
[271]
GSM358612
[272]
GSM358613
[273]
GSM358614
[274]
GSM358615
[275]
GSM358616
[276]
GSM358617
[277]
GSM358618
[278]
GSM358619
[279]
GSM358620
[280]
GSM358621
[281]
GSM358622
[282]
GSM358623
[283]
GSM358624
[284]
GSM358625
[285]
GSM358626
[286]
GSM358627
[287]
GSM358628
[288]
GSM358629
[289]
GSM358630
sample_count
290
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from 290 primary colorectal cancers
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE70770
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=GSE70770
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE70770
version
null
note
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
access_statement_kind
repository_route_statement
sample_accessions array · 808 items
[0]
GSM1817707
[1]
GSM1817708
[2]
GSM1817709
[3]
GSM1817710
[4]
GSM1817711
[5]
GSM1817712
[6]
GSM1817713
[7]
GSM1817714
[8]
GSM1817715
[9]
GSM1817716
[10]
GSM1817717
[11]
GSM1817718
[12]
GSM1817719
[13]
GSM1817720
[14]
GSM1817721
[15]
GSM1817722
[16]
GSM1817723
[17]
GSM1817724
[18]
GSM1817725
[19]
GSM1817726
[20]
GSM1817727
[21]
GSM1817728
[22]
GSM1817729
[23]
GSM1817730
[24]
GSM1817731
[25]
GSM1817732
[26]
GSM1817733
[27]
GSM1817734
[28]
GSM1817735
[29]
GSM1817736
[30]
GSM1817737
[31]
GSM1817738
[32]
GSM1817739
[33]
GSM1817740
[34]
GSM1817741
[35]
GSM1817742
[36]
GSM1817743
[37]
GSM1817744
[38]
GSM1817745
[39]
GSM1817746
[40]
GSM1817747
[41]
GSM1817748
[42]
GSM1817749
[43]
GSM1817750
[44]
GSM1817751
[45]
GSM1817752
[46]
GSM1817753
[47]
GSM1817754
[48]
GSM1817755
[49]
GSM1817756
[50]
GSM1817757
[51]
GSM1817758
[52]
GSM1817759
[53]
GSM1817760
[54]
GSM1817761
[55]
GSM1817762
[56]
GSM1817763
[57]
GSM1817764
[58]
GSM1817765
[59]
GSM1817766
[60]
GSM1817767
[61]
GSM1817768
[62]
GSM1817769
[63]
GSM1817770
[64]
GSM1817771
[65]
GSM1817772
[66]
GSM1817773
[67]
GSM1817774
[68]
GSM1817775
[69]
GSM1817776
[70]
GSM1817777
[71]
GSM1817778
[72]
GSM1817779
[73]
GSM1817780
[74]
GSM1817781
[75]
GSM1817782
[76]
GSM1817783
[77]
GSM1817784
[78]
GSM1817785
[79]
GSM1817786
[80]
GSM1817787
[81]
GSM1817788
[82]
GSM1817789
[83]
GSM1817790
[84]
GSM1817791
[85]
GSM1817792
[86]
GSM1817793
[87]
GSM1817794
[88]
GSM1817795
[89]
GSM1817796
[90]
GSM1817797
[91]
GSM1817798
[92]
GSM1817799
[93]
GSM1817800
[94]
GSM1817801
[95]
GSM1817802
[96]
GSM1817803
[97]
GSM1817804
[98]
GSM1817805
[99]
GSM1817806
[100]
GSM1817807
[101]
GSM1817808
[102]
GSM1817809
[103]
GSM1817810
[104]
GSM1817811
[105]
GSM1817812
[106]
GSM1817813
[107]
GSM1817814
[108]
GSM1817815
[109]
GSM1817816
[110]
GSM1817817
[111]
GSM1817818
[112]
GSM1817819
[113]
GSM1817820
[114]
GSM1817821
[115]
GSM1817822
[116]
GSM1817823
[117]
GSM1817824
[118]
GSM1817825
[119]
GSM1817826
[120]
GSM1817827
[121]
GSM1817828
[122]
GSM1817829
[123]
GSM1817830
[124]
GSM1817831
[125]
GSM1817832
[126]
GSM1817833
[127]
GSM1817834
[128]
GSM1817835
[129]
GSM1817836
[130]
GSM1817837
[131]
GSM1817838
[132]
GSM1817839
[133]
GSM1817840
[134]
GSM1817841
[135]
GSM1817842
[136]
GSM1817843
[137]
GSM1817844
[138]
GSM1817845
[139]
GSM1817846
[140]
GSM1817847
[141]
GSM1817848
[142]
GSM1817849
[143]
GSM1817850
[144]
GSM1817851
[145]
GSM1817852
[146]
GSM1817853
[147]
GSM1817854
[148]
GSM1817855
[149]
GSM1817856
[150]
GSM1817857
[151]
GSM1817858
[152]
GSM1817859
[153]
GSM1817860
[154]
GSM1817861
[155]
GSM1817862
[156]
GSM1817863
[157]
GSM1817864
[158]
GSM1817865
[159]
GSM1817866
[160]
GSM1817867
[161]
GSM1817868
[162]
GSM1817869
[163]
GSM1817870
[164]
GSM1817871
[165]
GSM1817872
[166]
GSM1817873
[167]
GSM1817874
[168]
GSM1817875
[169]
GSM1817876
[170]
GSM1817877
[171]
GSM1817878
[172]
GSM1817879
[173]
GSM1817880
[174]
GSM1817881
[175]
GSM1817882
[176]
GSM1817883
[177]
GSM1817884
[178]
GSM1817885
[179]
GSM1817886
[180]
GSM1817887
[181]
GSM1817888
[182]
GSM1817889
[183]
GSM1817890
[184]
GSM1817891
[185]
GSM1817892
[186]
GSM1817893
[187]
GSM1817894
[188]
GSM1817895
[189]
GSM1817896
[190]
GSM1817897
[191]
GSM1817898
[192]
GSM1817899
[193]
GSM1817900
[194]
GSM1817901
[195]
GSM1817902
[196]
GSM1817903
[197]
GSM1817904
[198]
GSM1817905
[199]
GSM1817906
[200]
GSM1817907
[201]
GSM1817908
[202]
GSM1817909
[203]
GSM1817910
[204]
GSM1817911
[205]
GSM1817912
[206]
GSM1817913
[207]
GSM1817914
[208]
GSM1817915
[209]
GSM1817916
[210]
GSM1817917
[211]
GSM1817918
[212]
GSM1817919
[213]
GSM1817920
[214]
GSM1817921
[215]
GSM1817922
[216]
GSM1817923
[217]
GSM1817924
[218]
GSM1817925
[219]
GSM1817926
[220]
GSM1817927
[221]
GSM1817928
[222]
GSM1817929
[223]
GSM1817930
[224]
GSM1817931
[225]
GSM1817932
[226]
GSM1817933
[227]
GSM1817934
[228]
GSM1817935
[229]
GSM1817936
[230]
GSM1817937
[231]
GSM1817938
[232]
GSM1817939
[233]
GSM1817940
[234]
GSM1817941
[235]
GSM1817942
[236]
GSM1817943
[237]
GSM1817944
[238]
GSM1817945
[239]
GSM1817946
[240]
GSM1817947
[241]
GSM1817948
[242]
GSM1817949
[243]
GSM1817950
[244]
GSM1817951
[245]
GSM1817952
[246]
GSM1817953
[247]
GSM1817954
[248]
GSM1817955
[249]
GSM1817956
[250]
GSM1817957
[251]
GSM1817958
[252]
GSM1817959
[253]
GSM1817960
[254]
GSM1817961
[255]
GSM1817962
[256]
GSM1817963
[257]
GSM1817964
[258]
GSM1817965
[259]
GSM1817966
[260]
GSM1817967
[261]
GSM1817968
[262]
GSM1817969
[263]
GSM1817970
[264]
GSM1817971
[265]
GSM1817972
[266]
GSM1817973
[267]
GSM1817974
[268]
GSM1817975
[269]
GSM1817976
[270]
GSM1817977
[271]
GSM1817978
[272]
GSM1817979
[273]
GSM1817980
[274]
GSM1817981
[275]
GSM1817982
[276]
GSM1817983
[277]
GSM1817984
[278]
GSM1817985
[279]
GSM1817986
[280]
GSM1817987
[281]
GSM1817988
[282]
GSM1817989
[283]
GSM1817990
[284]
GSM1817991
[285]
GSM1817992
[286]
GSM1817993
[287]
GSM1817994
[288]
GSM1817995
[289]
GSM1817996
[290]
GSM1817997
[291]
GSM1817998
[292]
GSM1817999
[293]
GSM1848331
[294]
GSM1848332
[295]
GSM1848333
[296]
GSM1848334
[297]
GSM1848335
[298]
GSM1848336
[299]
GSM1848337
[300]
GSM1848338
[301]
GSM1848339
[302]
GSM1848340
[303]
GSM1848341
[304]
GSM1848342
[305]
GSM1848343
[306]
GSM1848344
[307]
GSM1848345
[308]
GSM1848346
[309]
GSM1848347
[310]
GSM1848348
[311]
GSM1848349
[312]
GSM1848350
[313]
GSM1848351
[314]
GSM1848352
[315]
GSM1848353
[316]
GSM1848354
[317]
GSM1848355
[318]
GSM1848356
[319]
GSM1848357
[320]
GSM1848358
[321]
GSM1848359
[322]
GSM1848360
[323]
GSM1848361
[324]
GSM1848362
[325]
GSM1848363
[326]
GSM1848364
[327]
GSM1848365
[328]
GSM1848366
[329]
GSM1848367
[330]
GSM1848368
[331]
GSM1848369
[332]
GSM1848370
[333]
GSM1848371
[334]
GSM1848372
[335]
GSM1848373
[336]
GSM1848374
[337]
GSM1848375
[338]
GSM1848376
[339]
GSM1848377
[340]
GSM1848378
[341]
GSM1848379
[342]
GSM1848380
[343]
GSM1848382
[344]
GSM1848383
[345]
GSM1848384
[346]
GSM1848385
[347]
GSM1848386
[348]
GSM1848387
[349]
GSM1848388
[350]
GSM1848389
[351]
GSM1848390
[352]
GSM1848391
[353]
GSM1848392
[354]
GSM1848393
[355]
GSM1848394
[356]
GSM1848395
[357]
GSM1848396
[358]
GSM1848397
[359]
GSM1848398
[360]
GSM1848399
[361]
GSM1848400
[362]
GSM1848401
[363]
GSM1848402
[364]
GSM1848403
[365]
GSM1848404
[366]
GSM1848405
[367]
GSM1848406
[368]
GSM1848407
[369]
GSM1848408
[370]
GSM1848409
[371]
GSM1848410
[372]
GSM1848412
[373]
GSM1848413
[374]
GSM1848414
[375]
GSM1848415
[376]
GSM1848416
[377]
GSM1848417
[378]
GSM1848418
[379]
GSM1848419
[380]
GSM1848420
[381]
GSM1848421
[382]
GSM1848422
[383]
GSM1848423
[384]
GSM1848424
[385]
GSM1848425
[386]
GSM1848429
[387]
GSM1848430
[388]
GSM1848431
[389]
GSM1848432
[390]
GSM1848433
[391]
GSM1848435
[392]
GSM1848436
[393]
GSM1848437
[394]
GSM1848438
[395]
GSM1848439
[396]
GSM1848440
[397]
GSM1848441
[398]
GSM1848442
[399]
GSM1848443
[400]
GSM1848444
[401]
GSM1848445
[402]
GSM1848446
[403]
GSM1848447
[404]
GSM1848448
[405]
GSM1848449
[406]
GSM1848450
[407]
GSM1848451
[408]
GSM1848452
[409]
GSM1848453
[410]
GSM1848454
[411]
GSM1848455
[412]
GSM1848456
[413]
GSM1848457
[414]
GSM1848458
[415]
GSM1848459
[416]
GSM1848460
[417]
GSM1848461
[418]
GSM1848462
[419]
GSM1848463
[420]
GSM1848464
[421]
GSM1848465
[422]
GSM1848466
[423]
GSM1848467
[424]
GSM1848468
[425]
GSM1848469
[426]
GSM1848470
[427]
GSM1848471
[428]
GSM1848472
[429]
GSM1848473
[430]
GSM1848474
[431]
GSM1848475
[432]
GSM1848476
[433]
GSM1848477
[434]
GSM1848478
[435]
GSM1848479
[436]
GSM1848480
[437]
GSM1848481
[438]
GSM1848482
[439]
GSM1848483
[440]
GSM1848484
[441]
GSM1848485
[442]
GSM1848486
[443]
GSM1848487
[444]
GSM1848488
[445]
GSM1848489
[446]
GSM1848490
[447]
GSM1848491
[448]
GSM1848492
[449]
GSM1848493
[450]
GSM1848494
[451]
GSM1848495
[452]
GSM1848496
[453]
GSM1848497
[454]
GSM1848498
[455]
GSM1848499
[456]
GSM1848500
[457]
GSM1848501
[458]
GSM1848502
[459]
GSM1848503
[460]
GSM1848504
[461]
GSM1848505
[462]
GSM1848506
[463]
GSM1848507
[464]
GSM1848508
[465]
GSM1848509
[466]
GSM1848510
[467]
GSM1848511
[468]
GSM1848512
[469]
GSM1848513
[470]
GSM1848514
[471]
GSM1848515
[472]
GSM1848516
[473]
GSM1848517
[474]
GSM1848518
[475]
GSM1848519
[476]
GSM1848520
[477]
GSM1848521
[478]
GSM1848522
[479]
GSM1848523
[480]
GSM1848524
[481]
GSM1848525
[482]
GSM1848526
[483]
GSM1848527
[484]
GSM1848528
[485]
GSM1848529
[486]
GSM1848530
[487]
GSM1848531
[488]
GSM1848532
[489]
GSM1848533
[490]
GSM1848534
[491]
GSM1848535
[492]
GSM1848536
[493]
GSM1848537
[494]
GSM1848538
[495]
GSM1848539
[496]
GSM1848540
[497]
GSM1848541
[498]
GSM1848542
[499]
GSM1848543
[500]
GSM1848544
[501]
GSM1848545
[502]
GSM1848546
[503]
GSM1848547
[504]
GSM1848548
[505]
GSM1848549
[506]
GSM1848550
[507]
GSM1848551
[508]
GSM1848552
[509]
GSM1848553
[510]
GSM1848554
[511]
GSM1848555
[512]
GSM1848556
[513]
GSM1848557
[514]
GSM1848558
[515]
GSM1848559
[516]
GSM1848560
[517]
GSM1848561
[518]
GSM1848562
[519]
GSM1848563
[520]
GSM1848564
[521]
GSM1848565
[522]
GSM1848566
[523]
GSM1848567
[524]
GSM1848568
[525]
GSM1848569
[526]
GSM1848570
[527]
GSM1848571
[528]
GSM1848572
[529]
GSM1848573
[530]
GSM1848574
[531]
GSM1848575
[532]
GSM1848576
[533]
GSM1848577
[534]
GSM1848578
[535]
GSM1848579
[536]
GSM1848580
[537]
GSM1848581
[538]
GSM1848582
[539]
GSM1848583
[540]
GSM1848584
[541]
GSM1848585
[542]
GSM1848586
[543]
GSM1848587
[544]
GSM1848588
[545]
GSM1848589
[546]
GSM1848590
[547]
GSM1848591
[548]
GSM1848592
[549]
GSM1848593
[550]
GSM1848594
[551]
GSM1848595
[552]
GSM1848596
[553]
GSM1848597
[554]
GSM1848598
[555]
GSM1848599
[556]
GSM1848600
[557]
GSM1848601
[558]
GSM1848602
[559]
GSM1848603
[560]
GSM1848604
[561]
GSM1848605
[562]
GSM1848606
[563]
GSM1848607
[564]
GSM1848608
[565]
GSM1848609
[566]
GSM1848611
[567]
GSM1848612
[568]
GSM1848613
[569]
GSM1848614
[570]
GSM1848615
[571]
GSM1848616
[572]
GSM1848617
[573]
GSM1848618
[574]
GSM1848619
[575]
GSM1848620
[576]
GSM1848621
[577]
GSM1848622
[578]
GSM1848623
[579]
GSM1848624
[580]
GSM1848625
[581]
GSM1848626
[582]
GSM1848627
[583]
GSM1848628
[584]
GSM1848629
[585]
GSM1848630
[586]
GSM1848631
[587]
GSM1848632
[588]
GSM1848633
[589]
GSM1848634
[590]
GSM1848635
[591]
GSM1848636
[592]
GSM1848637
[593]
GSM1880733
[594]
GSM1880734
[595]
GSM1880735
[596]
GSM1880736
[597]
GSM1880737
[598]
GSM1880738
[599]
GSM1880739
[600]
GSM1880740
[601]
GSM1880741
[602]
GSM1880742
[603]
GSM1880743
[604]
GSM1880744
[605]
GSM1880745
[606]
GSM1880746
[607]
GSM1880747
[608]
GSM1880748
[609]
GSM1880749
[610]
GSM1880750
[611]
GSM1880751
[612]
GSM1880752
[613]
GSM1880753
[614]
GSM1880754
[615]
GSM1880755
[616]
GSM1880756
[617]
GSM1880757
[618]
GSM1880758
[619]
GSM1880759
[620]
GSM1880760
[621]
GSM1880761
[622]
GSM1880762
[623]
GSM1880763
[624]
GSM1880764
[625]
GSM1880765
[626]
GSM1880766
[627]
GSM1880767
[628]
GSM1884737
[629]
GSM1884739
[630]
GSM1884740
[631]
GSM1884742
[632]
GSM1884744
[633]
GSM1884745
[634]
GSM1884747
[635]
GSM1884748
[636]
GSM1884750
[637]
GSM1884752
[638]
GSM1884753
[639]
GSM1884755
[640]
GSM1884756
[641]
GSM1884758
[642]
GSM1884760
[643]
GSM1884761
[644]
GSM1884763
[645]
GSM1884765
[646]
GSM1884766
[647]
GSM1884768
[648]
GSM1884769
[649]
GSM1884771
[650]
GSM1884772
[651]
GSM1884773
[652]
GSM1884774
[653]
GSM1884775
[654]
GSM1884776
[655]
GSM1884777
[656]
GSM1884778
[657]
GSM1884779
[658]
GSM1884780
[659]
GSM1884781
[660]
GSM1884782
[661]
GSM1884783
[662]
GSM1884784
[663]
GSM1884785
[664]
GSM1884786
[665]
GSM1884787
[666]
GSM1884788
[667]
GSM1884789
[668]
GSM1884790
[669]
GSM1884791
[670]
GSM1884792
[671]
GSM1884793
[672]
GSM1884794
[673]
GSM1884795
[674]
GSM1884796
[675]
GSM1884797
[676]
GSM1884798
[677]
GSM1884799
[678]
GSM1884800
[679]
GSM1884801
[680]
GSM1884802
[681]
GSM1884803
[682]
GSM1884804
[683]
GSM1884805
[684]
GSM1884806
[685]
GSM1884807
[686]
GSM1884808
[687]
GSM1884809
[688]
GSM1884810
[689]
GSM1884811
[690]
GSM1884812
[691]
GSM1884813
[692]
GSM1884814
[693]
GSM1884815
[694]
GSM1884816
[695]
GSM1884817
[696]
GSM1884818
[697]
GSM1884819
[698]
GSM1884820
[699]
GSM1884821
[700]
GSM1884822
[701]
GSM1884823
[702]
GSM1884824
[703]
GSM1884825
[704]
GSM1884826
[705]
GSM1884827
[706]
GSM1884828
[707]
GSM1884829
[708]
GSM1884830
[709]
GSM1884831
[710]
GSM1884832
[711]
GSM1884833
[712]
GSM1884834
[713]
GSM1884835
[714]
GSM1884836
[715]
GSM1884837
[716]
GSM1884838
[717]
GSM1884839
[718]
GSM1884840
[719]
GSM1884841
[720]
GSM1884842
[721]
GSM1884843
[722]
GSM1884844
[723]
GSM1884845
[724]
GSM1884846
[725]
GSM1884847
[726]
GSM1884848
[727]
GSM1884849
[728]
GSM1884850
[729]
GSM1884851
[730]
GSM1884852
[731]
GSM1884853
[732]
GSM1884854
[733]
GSM1884855
[734]
GSM1884856
[735]
GSM1884857
[736]
GSM1884858
[737]
GSM1884859
[738]
GSM1884860
[739]
GSM1884861
[740]
GSM1884862
[741]
GSM1884863
[742]
GSM1884864
[743]
GSM1884865
[744]
GSM1884866
[745]
GSM1884867
[746]
GSM1884868
[747]
GSM1884869
[748]
GSM1884870
[749]
GSM1884871
[750]
GSM1884872
[751]
GSM1884873
[752]
GSM1884874
[753]
GSM1884875
[754]
GSM1884876
[755]
GSM1884877
[756]
GSM1884878
[757]
GSM1884879
[758]
GSM1884880
[759]
GSM1884881
[760]
GSM1884882
[761]
GSM1884883
[762]
GSM1884884
[763]
GSM1884885
[764]
GSM1884886
[765]
GSM1884887
[766]
GSM1884888
[767]
GSM1884889
[768]
GSM1884890
[769]
GSM1884891
[770]
GSM1884892
[771]
GSM1884893
[772]
GSM1884894
[773]
GSM1884895
[774]
GSM1884896
[775]
GSM1884897
[776]
GSM1884898
[777]
GSM1884899
[778]
GSM1884900
[779]
GSM1884901
[780]
GSM1884902
[781]
GSM1884903
[782]
GSM1884904
[783]
GSM1884905
[784]
GSM1884906
[785]
GSM1884907
[786]
GSM1884908
[787]
GSM1884909
[788]
GSM1884910
[789]
GSM1884911
[790]
GSM1884912
[791]
GSM1884913
[792]
GSM1884914
[793]
GSM1884915
[794]
GSM1884916
[795]
GSM1884917
[796]
GSM1884918
[797]
GSM1884919
[798]
GSM1884920
[799]
GSM1884921
[800]
GSM1884922
[801]
GSM1884923
[802]
GSM1884924
[803]
GSM1884925
[804]
GSM1884926
[805]
GSM1884927
[806]
GSM1884928
[807]
GSM1884929
sample_count
808
group_sizes
null
group_sizes_basis
null
platform
16104;6801;20641;10558
taxon
Homo sapiens
title
Prostate cancer stratification using molecular profiles
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE81089
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=GSE81089
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE81089
version
null
note
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
access_statement_kind
repository_route_statement
sample_accessions array · 218 items
[0]
GSM2142443
[1]
GSM2142444
[2]
GSM2142445
[3]
GSM2142446
[4]
GSM2142447
[5]
GSM2142448
[6]
GSM2142449
[7]
GSM2142450
[8]
GSM2142451
[9]
GSM2142452
[10]
GSM2142453
[11]
GSM2142454
[12]
GSM2142455
[13]
GSM2142456
[14]
GSM2142457
[15]
GSM2142458
[16]
GSM2142459
[17]
GSM2142460
[18]
GSM2142461
[19]
GSM2142462
[20]
GSM2142463
[21]
GSM2142464
[22]
GSM2142465
[23]
GSM2142466
[24]
GSM2142467
[25]
GSM2142468
[26]
GSM2142469
[27]
GSM2142470
[28]
GSM2142471
[29]
GSM2142472
[30]
GSM2142473
[31]
GSM2142474
[32]
GSM2142475
[33]
GSM2142476
[34]
GSM2142477
[35]
GSM2142478
[36]
GSM2142479
[37]
GSM2142480
[38]
GSM2142481
[39]
GSM2142482
[40]
GSM2142483
[41]
GSM2142484
[42]
GSM2142485
[43]
GSM2142486
[44]
GSM2142487
[45]
GSM2142488
[46]
GSM2142489
[47]
GSM2142490
[48]
GSM2142491
[49]
GSM2142492
[50]
GSM2142493
[51]
GSM2142494
[52]
GSM2142495
[53]
GSM2142496
[54]
GSM2142497
[55]
GSM2142498
[56]
GSM2142499
[57]
GSM2142500
[58]
GSM2142501
[59]
GSM2142502
[60]
GSM2142503
[61]
GSM2142504
[62]
GSM2142505
[63]
GSM2142506
[64]
GSM2142507
[65]
GSM2142508
[66]
GSM2142509
[67]
GSM2142510
[68]
GSM2142511
[69]
GSM2142512
[70]
GSM2142513
[71]
GSM2142514
[72]
GSM2142515
[73]
GSM2142516
[74]
GSM2142517
[75]
GSM2142518
[76]
GSM2142519
[77]
GSM2142520
[78]
GSM2142521
[79]
GSM2142522
[80]
GSM2142523
[81]
GSM2142524
[82]
GSM2142525
[83]
GSM2142526
[84]
GSM2142527
[85]
GSM2142528
[86]
GSM2142529
[87]
GSM2142530
[88]
GSM2142531
[89]
GSM2142532
[90]
GSM2142533
[91]
GSM2142534
[92]
GSM2142535
[93]
GSM2142536
[94]
GSM2142537
[95]
GSM2142538
[96]
GSM2142539
[97]
GSM2142540
[98]
GSM2142541
[99]
GSM2142542
[100]
GSM2142543
[101]
GSM2142544
[102]
GSM2142545
[103]
GSM2142546
[104]
GSM2142547
[105]
GSM2142548
[106]
GSM2142549
[107]
GSM2142550
[108]
GSM2142551
[109]
GSM2142552
[110]
GSM2142553
[111]
GSM2142554
[112]
GSM2142555
[113]
GSM2142556
[114]
GSM2142557
[115]
GSM2142558
[116]
GSM2142559
[117]
GSM2142560
[118]
GSM2142561
[119]
GSM2142562
[120]
GSM2142563
[121]
GSM2142564
[122]
GSM2142565
[123]
GSM2142566
[124]
GSM2142567
[125]
GSM2142568
[126]
GSM2142569
[127]
GSM2142570
[128]
GSM2142571
[129]
GSM2142572
[130]
GSM2142573
[131]
GSM2142574
[132]
GSM2142575
[133]
GSM2142576
[134]
GSM2142577
[135]
GSM2142578
[136]
GSM2142579
[137]
GSM2142580
[138]
GSM2142581
[139]
GSM2142582
[140]
GSM2142583
[141]
GSM2142584
[142]
GSM2142585
[143]
GSM2142586
[144]
GSM2142587
[145]
GSM2142588
[146]
GSM2142589
[147]
GSM2142590
[148]
GSM2142591
[149]
GSM2142592
[150]
GSM2142593
[151]
GSM2142594
[152]
GSM2142595
[153]
GSM2142596
[154]
GSM2142597
[155]
GSM2142598
[156]
GSM2142599
[157]
GSM2142600
[158]
GSM2142601
[159]
GSM2142602
[160]
GSM2142603
[161]
GSM2142604
[162]
GSM2142605
[163]
GSM2142606
[164]
GSM2142607
[165]
GSM2142608
[166]
GSM2142609
[167]
GSM2142610
[168]
GSM2142611
[169]
GSM2142612
[170]
GSM2142613
[171]
GSM2142614
[172]
GSM2142615
[173]
GSM2142616
[174]
GSM2142617
[175]
GSM2142618
[176]
GSM2142619
[177]
GSM2142620
[178]
GSM2142621
[179]
GSM2142622
[180]
GSM2142623
[181]
GSM2142624
[182]
GSM2142625
[183]
GSM2142626
[184]
GSM2142627
[185]
GSM2142628
[186]
GSM2142629
[187]
GSM2142630
[188]
GSM2142631
[189]
GSM2142632
[190]
GSM2142633
[191]
GSM2142634
[192]
GSM2142635
[193]
GSM2142636
[194]
GSM2142637
[195]
GSM2142638
[196]
GSM2142639
[197]
GSM2142640
[198]
GSM2142641
[199]
GSM2142642
[200]
GSM2142643
[201]
GSM2142644
[202]
GSM2142645
[203]
GSM2142646
[204]
GSM2142647
[205]
GSM2142648
[206]
GSM2142649
[207]
GSM2142650
[208]
GSM2142651
[209]
GSM2142652
[210]
GSM2142653
[211]
GSM2142654
[212]
GSM2142655
[213]
GSM2142656
[214]
GSM2142657
[215]
GSM2142658
[216]
GSM2142659
[217]
GSM2142660
sample_count
218
group_sizes
null
group_sizes_basis
null
platform
16791
taxon
Homo sapiens
title
Next Generation Sequencing (RNAseq) of non-small cell lung cancer
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 16 fields
id
asset:table:pmid:34140574:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:5ac184de29808c45cfac333d3ab97d443b3a8d4bc9f6d385ea0fc3a6c6dfa0bf
bytes
2228
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[3]/table-wrap[1]#Tab1
version
null
note
Demographics and clinical parameters of the cohorts evaluated in the outcome analysis.
structure object · 5 fields
pmcid
PMC8211811
section_index
3
section_title
Patient cohorts
row_count
28
column_count
9
table object · 8 fields
label
Table 1
caption
Demographics and clinical parameters of the cohorts evaluated in the outcome analysis.
rows array · 28 items
[0] array · 9 items
[0]
[1]
NSCLC TCGA
[2]
NSCLC GSE81089
[3]
Breast TCGA
[4]
Breast METABRIC
[5]
Colorectal TCGA
[6]
Colorectal GSE14333
[7]
Prostate TCGA
[8]
Prostate GSE70770
[1] array · 9 items
[0]
Total, n
[1]
1001
[2]
199
[3]
1091
[4]
1900
[5]
372
[6]
236
[7]
496
[8]
203
[2] array · 9 items
[0]
Age, median (range)
[1]
67 (38–90)
[2]
69 (45–84)
[3]
58 (26–90)
[4]
61 (21–96)
[5]
66 (31–90)
[6]
67 (26–92)
[7]
61 (41–78)
[8]
62 (41–73)
[3] array · 1 item
[0]
Sex, n (%)
[4] array · 9 items
[0]
Female
[1]
400 (40)
[2]
103 (52)
[3]
1079 (99)
[4]
1900 (100)
[5]
166 (45)
[6]
112 (47)
[7]
0
[8]
0
[5] array · 9 items
[0]
Male
[1]
601 (60)
[2]
96 (48)
[3]
12 (1)
[4]
0
[5]
206 (55)
[6]
124 (53)
[7]
496 (100)
[8]
203 (100)
[6] array · 1 item
[0]
Stage, n (%)
[7] array · 9 items
[0]
1
[1]
513 (51)
[2]
115 (58)
[3]
180 (16)
[4]
475 (25)
[5]
56 (15)
[6]
45 (19)
[7]
37 (7)
[8]
11 (5)
[8] array · 9 items
[0]
2
[1]
279 (28)
[2]
48 (24)
[3]
618 (57)
[4]
800 (42)
[5]
134 (36)
[6]
100 (42)
[7]
339 (68)
[8]
72 (35)
[9] array · 9 items
[0]
3
[1]
164 (16)
[2]
33 (17)
[3]
249 (23)
[4]
115 (6)
[5]
112 (30)
[6]
91 (39)
[7]
39 (8)
[8]
107 (53)
[10] array · 9 items
[0]
4
[1]
33 (3)
[2]
3 (2)
[3]
20 (2)
[4]
9 (0)
[5]
52 (14)
[6]
0 (0)
[7]
81 (16)
[8]
13 (6)
[11] array · 9 items
[0]
NA
[1]
25 (2)
[2]
0 (0)
[3]
24 (2)
[4]
501 (26)
[5]
18 (5)
[6]
0 (0)
[7]
0 (0)
[8]
0 (0)
[12] array · 9 items
[0]
Follow-up, months (median)
[1]
21.5
[2]
36.4
[3]
27.8
[4]
115.6
[5]
22.1
[6]
38.1
[7]
30.5
[8]
36.7
[13] array · 1 item
[0]
Tobacco use, n (%)
[14] array · 9 items
[0]
Ever smoker
[1]
885 (88)
[2]
180 (90)
[3]
–
[4]
–
[5]
–
[6]
–
[7]
–
[8]
–
[15] array · 9 items
[0]
Never smoker
[1]
91 (9)
[2]
19 (10)
[3]
–
[4]
–
[5]
–
[6]
–
[7]
–
[8]
–
[16] array · 9 items
[0]
NA
[1]
25 (2)
[2]
0
[3]
–
[4]
–
[5]
–
[6]
–
[7]
–
[8]
–
[17] array · 1 item
[0]
NSCLC histology, n (%)
[18] array · 9 items
[0]
Adenocarcinoma
[1]
506 (51)
[2]
108 (54)
[3]
–
[4]
–
[5]
–
[6]
–
[7]
–
[8]
–
[19] array · 9 items
[0]
Squamous cell carcinoma
[1]
495 (49)
[2]
67 (34)
[3]
–
[4]
–
[5]
–
[6]
–
[7]
–
[8]
–
[20] array · 9 items
[0]
NA
[1]
0
[2]
24 (12)
[3]
–
[4]
–
[5]
–
[6]
–
[7]
–
[8]
–
[21] array · 1 item
[0]
PAM50 subtype, n (%)
[22] array · 9 items
[0]
Luminal A
[1]
–
[2]
–
[3]
413 (38)
[4]
679 (36)
[5]
–
[6]
–
[7]
–
[8]
–
[23] array · 9 items
[0]
Luminal B
[1]
–
[2]
–
[3]
174 (16)
[4]
460 (24)
[5]
–
[6]
–
[7]
–
[8]
–
[24] array · 9 items
[0]
HER2-enriched
[1]
–
[2]
–
[3]
65 (6)
[4]
218 (11)
[5]
–
[6]
–
[7]
–
[8]
–
[25] array · 9 items
[0]
Basal-like
[1]
–
[2]
–
[3]
136 (12)
[4]
397 (21)
[5]
–
[6]
–
[7]
–
[8]
–
[26] array · 9 items
[0]
Normal-like
[1]
–
[2]
–
[3]
25 (2)
[4]
140 (7)
[5]
–
[6]
–
[7]
–
[8]
–
[27] array · 9 items
[0]
NA
[1]
–
[2]
–
[3]
278 (25)
[4]
6 (0)
[5]
–
[6]
–
[7]
–
[8]
–
locator
section[3]/table-wrap[1]#Tab1
[5] object · 16 fields
id
asset:table:pmid:34140574:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:5965e39e5d4f051de70f087faa3c99c1d8105fd96e9112d9b4062d95c184d870
bytes
1763
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[4]/table-wrap[1]#Tab2
version
null
note
Multivariate Cox proportional hazards analysis of cancer outcomes.
structure object · 5 fields
pmcid
PMC8211811
section_index
4
section_title
DCBLD1 gene expression and cancer outcome
row_count
23
column_count
5
table object · 8 fields
label
Table 2
caption
Multivariate Cox proportional hazards analysis of cancer outcomes.
rows array · 23 items
[0] array · 5 items
[0]
Variable
[1]
HR (95% CI)
[2]
P
[3]
HR (95% CI)
[4]
P
[1] array · 1 item
[0]
Non-small cell lung carcinoma—overall survival
[2] array · 3 items
[0]
[1]
TCGA
[2]
GSE81089
[3] array · 5 items
[0]
DCBLD1 expression (numerical)
[1]
3.03 (1.11–8.04)
[2]
0.03
[3]
3.71 (1.05–13.09)
[4]
0.04
[4] array · 5 items
[0]
Age (numerical)
[1]
1.79 (0.99–3.27)
[2]
0.06
[3]
1.32 (0.48–3.71)
[4]
0.59
[5] array · 5 items
[0]
Sex (male vs female)
[1]
1.16 (0.93–1.43)
[2]
0.17
[3]
1.35 (0.90–2.05)
[4]
0.15
[6] array · 5 items
[0]
Stage (3–4 vs 1–2)
[1]
1.96 (1.56–2.44)
[2]
< 0.001
[3]
2.41 (1.49–3.80)
[4]
< 0.001
[7] array · 1 item
[0]
Invasive breast carcinoma—overall survival
[8] array · 3 items
[0]
[1]
TCGA
[2]
METABRIC
[9] array · 5 items
[0]
DCBLD1 expression (numerical)
[1]
10.08 (1.49–60.66)
[2]
0.02
[3]
2.20 (1.38–3.48)
[4]
< 0.001
[10] array · 5 items
[0]
Age (numerical)
[1]
7.98 (3.40–18.80)
[2]
< 0.001
[3]
12.27 (7.73–19.56)
[4]
< 0.001
[11] array · 5 items
[0]
Stage (3–4 vs 1–2)
[1]
3.10 (2.16–4.43)
[2]
< 0.001
[3]
2.28 (1.82–2.81)
[4]
< 0.001
[12] array · 1 item
[0]
Colorectal adenocarcinoma—overall survival
[13] array · 3 items
[0]
[1]
TCGA
[2]
GSE14333
[14] array · 5 items
[0]
DCBLD1 expression (numerical)
[1]
2.39 (0.34–16.38)
[2]
0.38
[3]
1.40 (0.25–7.85)
[4]
0.70
[15] array · 5 items
[0]
Age (numerical)
[1]
9.20 (2.98–29.46)
[2]
< 0.001
[3]
0.42 (0.11–1.56)
[4]
0.42
[16] array · 5 items
[0]
Sex (male vs female)
[1]
1.02 (0.65–1.63)
[2]
0.93
[3]
1.00 (0.57–1.76)
[4]
1.00
[17] array · 5 items
[0]
Stage (3–4 vs 1–2)
[1]
3.73 (2.30–6.22)
[2]
< 0.001
[3]
3.05 (1.74–5.49)
[4]
< 0.001
[18] array · 1 item
[0]
Prostate adenocarcinoma—biochemical recurrence
[19] array · 3 items
[0]
[1]
TCGA
[2]
GSE70770
[20] array · 5 items
[0]
DCBLD1 expression (numerical)
[1]
0.95 (0.11–8.49)
[2]
0.97
[3]
1.07 (0.08–16.79)
[4]
0.96
[21] array · 5 items
[0]
Age (numerical)
[1]
1.93 (0.51–7.51)
[2]
0.34
[3]
1.40 (0.14–16.79)
[4]
0.78
[22] array · 5 items
[0]
Stage (3–4 vs 1–2)
[1]
3.34 (1.99–5.57)
[2]
< 0.001
[3]
2.36 (0.78–10.15)
[4]
0.14
locator
section[4]/table-wrap[1]#Tab2
[6] object · 16 fields
id
asset:table:pmid:34140574:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:12414cf7533328b65ccf8075486abc3b6e587919f0cd31b1736ec7d09452c4eb
bytes
685
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[7]/table-wrap[1]#Tab3
version
null
note
Significantly upregulated pathways for DCBLD1 high expression patients in the four TCGA cohorts.
structure object · 5 fields
pmcid
PMC8211811
section_index
7
section_title
Upregulated and downregulated genes and pathways in patients with high DCBLD1 expression
row_count
6
column_count
3
table object · 8 fields
label
Table 3
caption
Significantly upregulated pathways for DCBLD1 high expression patients in the four TCGA cohorts.
rows array · 6 items
[0] array · 3 items
[0]
Cancer
[1]
Upregulated PANTHER pathway
[2]
FDR
[1] array · 3 items
[0]
Non-small cell lung carcinoma
[1]
Integrin signaling pathway
[2]
5.16 × 10–14
[2] array · 2 items
[0]
Inflammation mediated by chemokine and cytokine signaling pathway
[1]
9.33 × 10–04
[3] array · 3 items
[0]
Invasive breast carcinoma
[1]
Integrin signaling pathway
[2]
1.94 × 10–05
[4] array · 3 items
[0]
Colorectal adenocarcinoma
[1]
No significantly upregulated pathway
[2]
–
[5] array · 3 items
[0]
Prostate adenocarcinoma
[1]
No significantly upregulated pathway
[2]
–
locator
section[7]/table-wrap[1]#Tab3
gaps array · 6 items
[0]
asset:data:geo:GSE14333 not downloaded
[1]
asset:data:geo:GSE14333 licence not read
[2]
asset:data:geo:GSE70770 not downloaded
[3]
asset:data:geo:GSE70770 licence not read
[4]
asset:data:geo:GSE81089 not downloaded
[5]
asset:data:geo:GSE81089 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
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]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 3 items
[0]
GSE81089
[1]
GSE14333
[2]
GSE70770
resolved_accessions array · 3 items
[0]
GSE81089
[1]
GSE14333
[2]
GSE70770
statements array · 1 item
[0]
Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.
basis
The paper names GSE81089, GSE14333, GSE70770 in National Center for Biotechnology Information (NCBI) Gene Expression Omnibus database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 5 items
[0]
source:pmid:34140574
[1]
data:geo:GSE14333
[2]
asset:table:pmid:34140574:1
[3]
asset:table:pmid:34140574:2
[4]
asset:table:pmid:34140574:3
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE14333
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:31:20Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
29600
completion_tokens
2465
cached_tokens
9728
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:34140574
type
paper
label
pmid:34140574
[1] object · 3 fields
id
source:pmid:34140574
type
manuscript
label
PMID 34140574 full text
[2] object · 3 fields
id
data:geo:GSE14333
type
dataset
label
GEO GSE14333
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:34140574
type
paper
label
pmid:34140574
[1] object · 3 fields
id
source:pmid:34140574
type
manuscript
label
PMID 34140574 full text
[2] object · 3 fields
id
data:geo:GSE14333
type
dataset
label
GEO GSE14333
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34140574
type
extraction
used array · 1 item
[0]
source:pmid:34140574
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14333
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE14333
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:34140574
parent_hash
sha256:88bd523a5e576ea8e91aef34800cf446909311200dc033007da543853280e669
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE14333 licence not read
[1]
asset:data:geo:GSE14333 not downloaded
[2]
asset:data:geo:GSE70770 licence not read
[3]
asset:data:geo:GSE70770 not downloaded
[4]
asset:data:geo:GSE81089 licence not read
[5]
asset:data:geo:GSE81089 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
s of high DCBLD1 expression, we compared the RNA-seq gene expression profiles of 50 patients with
order_basis
paper_text_order:1867
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34140574", "kind": "science-record", "revision": 7, "content_hash": "sha256:32ea0094490c07a17e3f3ac4873cb167c8215a9d0811d03eec53cf2b6ea1c13f", "created_at": "2026-11-01T15:41:39Z", "updated_at": "2026-11-01T21:25:33Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "DCBLD1 is associated with the integrin signaling pathway and has prognostic value in non-small cell lung and invasive breast carcinoma.", "doi": "10.1038/s41598-021-92090-6", "pmid": "34140574", "authors": ["Guillaume B Cardin", "Monique Bernard", "Francis Rodier", "Apostolos Christopoulos"], "journal": "Scientific reports", "year": 2021, "abstract": "Germline single nucleotide polymorphisms in the promoter region of the DCBLD1 gene are associated with non-smoking cases of both non-small cell lung carcinoma (NSCLC) and human papillomavirus-negative head and neck cancer. However the clinical relevance and function of DCBLD1 remain unclear. This multicenter retrospective study was designed to evaluate the prognostic value and function of DCBLD1 in the four main solid cancers: NSCLC, invasive breast carcinoma, colorectal adenocarcinoma and prostate adenocarcinoma. We included the following cohorts: GSE81089 NSCLC, METABRIC invasive breast carcinoma, GSE14333 colorectal adenocarcinoma, GSE70770 prostate adenocarcinoma and The Cancer Genome Atlas (TCGA) Firehose Legacy cohorts of all four cancers. DCBLD1 gene expression was associated with a worse overall survival in multivariate analyses for both NSCLC cohorts (TCGA: P = 0.03 and GSE81089: P = 0.04) and both invasive breast carcinoma cohorts (TCGA: P = 0.02 and METABRIC: P < 0.001). Patients with high DCBLD1 expression showed an upregulation of the integrin signaling pathway in comparison to those with low DCBLD1 expression in the TCGA NSCLC cohort (FDR = 5.16 × 10-14) and TCGA invasive breast carcinoma cohort (FDR = 1.94 × 10-05).", "claims": [{"id": "claim-method", "statement": "HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34140574", "locator": "sections[13] \"Statistics\" paragraph 2", "quote": "HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34140574", "locator": "sections[11] \"Study cohorts\" paragraph 3", "quote": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:34140574"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE14333"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE14333"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34140574", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1038/s41598-021-92090-6", "sha256": "sha256:dd344d02c8f4b6e47ffbad65c35d1bdd8e2448775865b2585342ce1c94bc4d8b", "bytes": 37726, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1038/s41598-021-92090-6", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8211811", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE14333", "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=GSE14333", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE14333", "version": null, "note": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM358341", "GSM358342", "GSM358343", "GSM358344", "GSM358345", "GSM358346", "GSM358347", "GSM358348", "GSM358349", "GSM358350", "GSM358351", "GSM358352", "GSM358353", "GSM358354", "GSM358355", "GSM358356", "GSM358357", "GSM358358", "GSM358359", "GSM358360", "GSM358361", "GSM358362", "GSM358363", "GSM358364", "GSM358365", "GSM358366", "GSM358367", "GSM358368", "GSM358369", "GSM358370", "GSM358371", "GSM358372", "GSM358373", "GSM358374", "GSM358375", "GSM358376", "GSM358377", "GSM358378", "GSM358379", "GSM358380", "GSM358381", "GSM358382", "GSM358383", "GSM358384", "GSM358385", "GSM358386", "GSM358387", "GSM358388", "GSM358389", "GSM358390", "GSM358391", "GSM358392", "GSM358393", "GSM358394", "GSM358395", "GSM358396", "GSM358397", "GSM358398", "GSM358399", "GSM358400", "GSM358401", "GSM358402", "GSM358403", "GSM358404", "GSM358405", "GSM358406", "GSM358407", "GSM358408", "GSM358409", "GSM358410", "GSM358411", "GSM358412", "GSM358413", "GSM358414", "GSM358415", "GSM358416", "GSM358417", "GSM358418", "GSM358419", "GSM358420", "GSM358421", "GSM358422", "GSM358423", "GSM358424", "GSM358425", "GSM358426", "GSM358427", "GSM358428", "GSM358429", "GSM358430", "GSM358431", "GSM358432", "GSM358433", "GSM358434", "GSM358435", "GSM358436", "GSM358437", "GSM358438", "GSM358439", "GSM358440", "GSM358441", "GSM358442", "GSM358443", "GSM358444", "GSM358445", "GSM358446", "GSM358447", "GSM358448", "GSM358449", "GSM358450", "GSM358451", "GSM358452", "GSM358453", "GSM358454", "GSM358455", "GSM358456", "GSM358457", "GSM358458", "GSM358459", "GSM358460", "GSM358461", "GSM358462", "GSM358463", "GSM358464", "GSM358465", "GSM358466", "GSM358467", "GSM358468", "GSM358469", "GSM358470", "GSM358471", "GSM358472", "GSM358473", "GSM358474", "GSM358475", "GSM358476", "GSM358477", "GSM358478", "GSM358479", "GSM358480", "GSM358481", "GSM358482", "GSM358483", "GSM358484", "GSM358485", "GSM358486", "GSM358487", "GSM358488", "GSM358489", "GSM358490", "GSM358491", "GSM358492", "GSM358493", "GSM358494", "GSM358495", "GSM358496", "GSM358497", "GSM358498", "GSM358499", "GSM358500", "GSM358501", "GSM358502", "GSM358503", "GSM358504", "GSM358505", "GSM358506", "GSM358507", "GSM358508", "GSM358509", "GSM358510", "GSM358511", "GSM358512", "GSM358513", "GSM358514", "GSM358515", "GSM358516", "GSM358517", "GSM358518", "GSM358519", "GSM358520", "GSM358521", "GSM358522", "GSM358523", "GSM358524", "GSM358525", "GSM358526", "GSM358527", "GSM358528", "GSM358529", "GSM358530", "GSM358531", "GSM358532", "GSM358533", "GSM358534", "GSM358535", "GSM358536", "GSM358537", "GSM358538", "GSM358539", "GSM358540", "GSM358541", "GSM358542", "GSM358543", "GSM358544", "GSM358545", "GSM358546", "GSM358547", "GSM358548", "GSM358549", "GSM358550", "GSM358551", "GSM358552", "GSM358553", "GSM358554", "GSM358555", "GSM358556", "GSM358557", "GSM358558", "GSM358559", "GSM358560", "GSM358561", "GSM358562", "GSM358563", "GSM358564", "GSM358565", "GSM358566", "GSM358567", "GSM358568", "GSM358569", "GSM358570", "GSM358571", "GSM358572", "GSM358573", "GSM358574", "GSM358575", "GSM358576", "GSM358577", "GSM358578", "GSM358579", "GSM358580", "GSM358581", "GSM358582", "GSM358583", "GSM358584", "GSM358585", "GSM358586", "GSM358587", "GSM358588", "GSM358589", "GSM358590", "GSM358591", "GSM358592", "GSM358593", "GSM358594", "GSM358595", "GSM358596", "GSM358597", "GSM358598", "GSM358599", "GSM358600", "GSM358601", "GSM358602", "GSM358603", "GSM358604", "GSM358605", "GSM358606", "GSM358607", "GSM358608", "GSM358609", "GSM358610", "GSM358611", "GSM358612", "GSM358613", "GSM358614", "GSM358615", "GSM358616", "GSM358617", "GSM358618", "GSM358619", "GSM358620", "GSM358621", "GSM358622", "GSM358623", "GSM358624", "GSM358625", "GSM358626", "GSM358627", "GSM358628", "GSM358629", "GSM358630"], "sample_count": 290, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Expression data from 290 primary colorectal cancers", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE70770", "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=GSE70770", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE70770", "version": null, "note": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1817707", "GSM1817708", "GSM1817709", "GSM1817710", "GSM1817711", "GSM1817712", "GSM1817713", "GSM1817714", "GSM1817715", "GSM1817716", "GSM1817717", "GSM1817718", "GSM1817719", "GSM1817720", "GSM1817721", "GSM1817722", "GSM1817723", "GSM1817724", "GSM1817725", "GSM1817726", "GSM1817727", "GSM1817728", "GSM1817729", "GSM1817730", "GSM1817731", "GSM1817732", "GSM1817733", "GSM1817734", "GSM1817735", "GSM1817736", "GSM1817737", "GSM1817738", "GSM1817739", "GSM1817740", "GSM1817741", "GSM1817742", "GSM1817743", "GSM1817744", "GSM1817745", "GSM1817746", "GSM1817747", "GSM1817748", "GSM1817749", "GSM1817750", "GSM1817751", "GSM1817752", "GSM1817753", "GSM1817754", "GSM1817755", "GSM1817756", "GSM1817757", "GSM1817758", "GSM1817759", "GSM1817760", "GSM1817761", "GSM1817762", "GSM1817763", "GSM1817764", "GSM1817765", "GSM1817766", "GSM1817767", "GSM1817768", "GSM1817769", "GSM1817770", "GSM1817771", "GSM1817772", "GSM1817773", "GSM1817774", "GSM1817775", "GSM1817776", "GSM1817777", "GSM1817778", "GSM1817779", "GSM1817780", "GSM1817781", "GSM1817782", "GSM1817783", "GSM1817784", "GSM1817785", "GSM1817786", "GSM1817787", "GSM1817788", "GSM1817789", "GSM1817790", "GSM1817791", "GSM1817792", "GSM1817793", "GSM1817794", "GSM1817795", "GSM1817796", "GSM1817797", "GSM1817798", "GSM1817799", "GSM1817800", "GSM1817801", "GSM1817802", "GSM1817803", "GSM1817804", "GSM1817805", "GSM1817806", "GSM1817807", "GSM1817808", "GSM1817809", "GSM1817810", "GSM1817811", "GSM1817812", "GSM1817813", "GSM1817814", "GSM1817815", "GSM1817816", "GSM1817817", "GSM1817818", "GSM1817819", "GSM1817820", "GSM1817821", "GSM1817822", "GSM1817823", "GSM1817824", "GSM1817825", "GSM1817826", "GSM1817827", "GSM1817828", "GSM1817829", "GSM1817830", "GSM1817831", "GSM1817832", "GSM1817833", "GSM1817834", "GSM1817835", "GSM1817836", "GSM1817837", "GSM1817838", "GSM1817839", "GSM1817840", "GSM1817841", "GSM1817842", "GSM1817843", "GSM1817844", "GSM1817845", "GSM1817846", "GSM1817847", "GSM1817848", "GSM1817849", "GSM1817850", "GSM1817851", "GSM1817852", "GSM1817853", "GSM1817854", "GSM1817855", "GSM1817856", "GSM1817857", "GSM1817858", "GSM1817859", "GSM1817860", "GSM1817861", "GSM1817862", "GSM1817863", "GSM1817864", "GSM1817865", "GSM1817866", "GSM1817867", "GSM1817868", "GSM1817869", "GSM1817870", "GSM1817871", "GSM1817872", "GSM1817873", "GSM1817874", "GSM1817875", "GSM1817876", "GSM1817877", "GSM1817878", "GSM1817879", "GSM1817880", "GSM1817881", "GSM1817882", "GSM1817883", "GSM1817884", "GSM1817885", "GSM1817886", "GSM1817887", "GSM1817888", "GSM1817889", "GSM1817890", "GSM1817891", "GSM1817892", "GSM1817893", "GSM1817894", "GSM1817895", "GSM1817896", "GSM1817897", "GSM1817898", "GSM1817899", "GSM1817900", "GSM1817901", "GSM1817902", "GSM1817903", "GSM1817904", "GSM1817905", "GSM1817906", "GSM1817907", "GSM1817908", "GSM1817909", "GSM1817910", "GSM1817911", "GSM1817912", "GSM1817913", "GSM1817914", "GSM1817915", "GSM1817916", "GSM1817917", "GSM1817918", "GSM1817919", "GSM1817920", "GSM1817921", "GSM1817922", "GSM1817923", "GSM1817924", "GSM1817925", "GSM1817926", "GSM1817927", "GSM1817928", "GSM1817929", "GSM1817930", "GSM1817931", "GSM1817932", "GSM1817933", "GSM1817934", "GSM1817935", "GSM1817936", "GSM1817937", "GSM1817938", "GSM1817939", "GSM1817940", "GSM1817941", "GSM1817942", "GSM1817943", "GSM1817944", "GSM1817945", "GSM1817946", "GSM1817947", "GSM1817948", "GSM1817949", "GSM1817950", "GSM1817951", "GSM1817952", "GSM1817953", "GSM1817954", "GSM1817955", "GSM1817956", "GSM1817957", "GSM1817958", "GSM1817959", "GSM1817960", "GSM1817961", "GSM1817962", "GSM1817963", "GSM1817964", "GSM1817965", "GSM1817966", "GSM1817967", "GSM1817968", "GSM1817969", "GSM1817970", "GSM1817971", "GSM1817972", "GSM1817973", "GSM1817974", "GSM1817975", "GSM1817976", "GSM1817977", "GSM1817978", "GSM1817979", "GSM1817980", "GSM1817981", "GSM1817982", "GSM1817983", "GSM1817984", "GSM1817985", "GSM1817986", "GSM1817987", "GSM1817988", "GSM1817989", "GSM1817990", "GSM1817991", "GSM1817992", "GSM1817993", "GSM1817994", "GSM1817995", "GSM1817996", "GSM1817997", "GSM1817998", "GSM1817999", "GSM1848331", "GSM1848332", "GSM1848333", "GSM1848334", "GSM1848335", "GSM1848336", "GSM1848337", "GSM1848338", "GSM1848339", "GSM1848340", "GSM1848341", "GSM1848342", "GSM1848343", "GSM1848344", "GSM1848345", "GSM1848346", "GSM1848347", "GSM1848348", "GSM1848349", "GSM1848350", "GSM1848351", "GSM1848352", "GSM1848353", "GSM1848354", "GSM1848355", "GSM1848356", "GSM1848357", "GSM1848358", "GSM1848359", "GSM1848360", "GSM1848361", "GSM1848362", "GSM1848363", "GSM1848364", "GSM1848365", "GSM1848366", "GSM1848367", "GSM1848368", "GSM1848369", "GSM1848370", "GSM1848371", "GSM1848372", "GSM1848373", "GSM1848374", "GSM1848375", "GSM1848376", "GSM1848377", "GSM1848378", "GSM1848379", "GSM1848380", "GSM1848382", "GSM1848383", "GSM1848384", "GSM1848385", "GSM1848386", "GSM1848387", "GSM1848388", "GSM1848389", "GSM1848390", "GSM1848391", "GSM1848392", "GSM1848393", "GSM1848394", "GSM1848395", "GSM1848396", "GSM1848397", "GSM1848398", "GSM1848399", "GSM1848400", "GSM1848401", "GSM1848402", "GSM1848403", "GSM1848404", "GSM1848405", "GSM1848406", "GSM1848407", "GSM1848408", "GSM1848409", "GSM1848410", "GSM1848412", "GSM1848413", "GSM1848414", "GSM1848415", "GSM1848416", "GSM1848417", "GSM1848418", "GSM1848419", "GSM1848420", "GSM1848421", "GSM1848422", "GSM1848423", "GSM1848424", "GSM1848425", "GSM1848429", "GSM1848430", "GSM1848431", "GSM1848432", "GSM1848433", "GSM1848435", "GSM1848436", "GSM1848437", "GSM1848438", "GSM1848439", "GSM1848440", "GSM1848441", "GSM1848442", "GSM1848443", "GSM1848444", "GSM1848445", "GSM1848446", "GSM1848447", "GSM1848448", "GSM1848449", "GSM1848450", "GSM1848451", "GSM1848452", "GSM1848453", "GSM1848454", "GSM1848455", "GSM1848456", "GSM1848457", "GSM1848458", "GSM1848459", "GSM1848460", "GSM1848461", "GSM1848462", "GSM1848463", "GSM1848464", "GSM1848465", "GSM1848466", "GSM1848467", "GSM1848468", "GSM1848469", "GSM1848470", "GSM1848471", "GSM1848472", "GSM1848473", "GSM1848474", "GSM1848475", "GSM1848476", "GSM1848477", "GSM1848478", "GSM1848479", "GSM1848480", "GSM1848481", "GSM1848482", "GSM1848483", "GSM1848484", "GSM1848485", "GSM1848486", "GSM1848487", "GSM1848488", "GSM1848489", "GSM1848490", "GSM1848491", "GSM1848492", "GSM1848493", "GSM1848494", "GSM1848495", "GSM1848496", "GSM1848497", "GSM1848498", "GSM1848499", "GSM1848500", "GSM1848501", "GSM1848502", "GSM1848503", "GSM1848504", "GSM1848505", "GSM1848506", "GSM1848507", "GSM1848508", "GSM1848509", "GSM1848510", "GSM1848511", "GSM1848512", "GSM1848513", "GSM1848514", "GSM1848515", "GSM1848516", "GSM1848517", "GSM1848518", "GSM1848519", "GSM1848520", "GSM1848521", "GSM1848522", "GSM1848523", "GSM1848524", "GSM1848525", "GSM1848526", "GSM1848527", "GSM1848528", "GSM1848529", "GSM1848530", "GSM1848531", "GSM1848532", "GSM1848533", "GSM1848534", "GSM1848535", "GSM1848536", "GSM1848537", "GSM1848538", "GSM1848539", "GSM1848540", "GSM1848541", "GSM1848542", "GSM1848543", "GSM1848544", "GSM1848545", "GSM1848546", "GSM1848547", "GSM1848548", "GSM1848549", "GSM1848550", "GSM1848551", "GSM1848552", "GSM1848553", "GSM1848554", "GSM1848555", "GSM1848556", "GSM1848557", "GSM1848558", "GSM1848559", "GSM1848560", "GSM1848561", "GSM1848562", "GSM1848563", "GSM1848564", "GSM1848565", "GSM1848566", "GSM1848567", "GSM1848568", "GSM1848569", "GSM1848570", "GSM1848571", "GSM1848572", "GSM1848573", "GSM1848574", "GSM1848575", "GSM1848576", "GSM1848577", "GSM1848578", "GSM1848579", "GSM1848580", "GSM1848581", "GSM1848582", "GSM1848583", "GSM1848584", "GSM1848585", "GSM1848586", "GSM1848587", "GSM1848588", "GSM1848589", "GSM1848590", "GSM1848591", "GSM1848592", "GSM1848593", "GSM1848594", "GSM1848595", "GSM1848596", "GSM1848597", "GSM1848598", "GSM1848599", "GSM1848600", "GSM1848601", "GSM1848602", "GSM1848603", "GSM1848604", "GSM1848605", "GSM1848606", "GSM1848607", "GSM1848608", "GSM1848609", "GSM1848611", "GSM1848612", "GSM1848613", "GSM1848614", "GSM1848615", "GSM1848616", "GSM1848617", "GSM1848618", "GSM1848619", "GSM1848620", "GSM1848621", "GSM1848622", "GSM1848623", "GSM1848624", "GSM1848625", "GSM1848626", "GSM1848627", "GSM1848628", "GSM1848629", "GSM1848630", "GSM1848631", "GSM1848632", "GSM1848633", "GSM1848634", "GSM1848635", "GSM1848636", "GSM1848637", "GSM1880733", "GSM1880734", "GSM1880735", "GSM1880736", "GSM1880737", "GSM1880738", "GSM1880739", "GSM1880740", "GSM1880741", "GSM1880742", "GSM1880743", "GSM1880744", "GSM1880745", "GSM1880746", "GSM1880747", "GSM1880748", "GSM1880749", "GSM1880750", "GSM1880751", "GSM1880752", "GSM1880753", "GSM1880754", "GSM1880755", "GSM1880756", "GSM1880757", "GSM1880758", "GSM1880759", "GSM1880760", "GSM1880761", "GSM1880762", "GSM1880763", "GSM1880764", "GSM1880765", "GSM1880766", "GSM1880767", "GSM1884737", "GSM1884739", "GSM1884740", "GSM1884742", "GSM1884744", "GSM1884745", "GSM1884747", "GSM1884748", "GSM1884750", "GSM1884752", "GSM1884753", "GSM1884755", "GSM1884756", "GSM1884758", "GSM1884760", "GSM1884761", "GSM1884763", "GSM1884765", "GSM1884766", "GSM1884768", "GSM1884769", "GSM1884771", "GSM1884772", "GSM1884773", "GSM1884774", "GSM1884775", "GSM1884776", "GSM1884777", "GSM1884778", "GSM1884779", "GSM1884780", "GSM1884781", "GSM1884782", "GSM1884783", "GSM1884784", "GSM1884785", "GSM1884786", "GSM1884787", "GSM1884788", "GSM1884789", "GSM1884790", "GSM1884791", "GSM1884792", "GSM1884793", "GSM1884794", "GSM1884795", "GSM1884796", "GSM1884797", "GSM1884798", "GSM1884799", "GSM1884800", "GSM1884801", "GSM1884802", "GSM1884803", "GSM1884804", "GSM1884805", "GSM1884806", "GSM1884807", "GSM1884808", "GSM1884809", "GSM1884810", "GSM1884811", "GSM1884812", "GSM1884813", "GSM1884814", "GSM1884815", "GSM1884816", "GSM1884817", "GSM1884818", "GSM1884819", "GSM1884820", "GSM1884821", "GSM1884822", "GSM1884823", "GSM1884824", "GSM1884825", "GSM1884826", "GSM1884827", "GSM1884828", "GSM1884829", "GSM1884830", "GSM1884831", "GSM1884832", "GSM1884833", "GSM1884834", "GSM1884835", "GSM1884836", "GSM1884837", "GSM1884838", "GSM1884839", "GSM1884840", "GSM1884841", "GSM1884842", "GSM1884843", "GSM1884844", "GSM1884845", "GSM1884846", "GSM1884847", "GSM1884848", "GSM1884849", "GSM1884850", "GSM1884851", "GSM1884852", "GSM1884853", "GSM1884854", "GSM1884855", "GSM1884856", "GSM1884857", "GSM1884858", "GSM1884859", "GSM1884860", "GSM1884861", "GSM1884862", "GSM1884863", "GSM1884864", "GSM1884865", "GSM1884866", "GSM1884867", "GSM1884868", "GSM1884869", "GSM1884870", "GSM1884871", "GSM1884872", "GSM1884873", "GSM1884874", "GSM1884875", "GSM1884876", "GSM1884877", "GSM1884878", "GSM1884879", "GSM1884880", "GSM1884881", "GSM1884882", "GSM1884883", "GSM1884884", "GSM1884885", "GSM1884886", "GSM1884887", "GSM1884888", "GSM1884889", "GSM1884890", "GSM1884891", "GSM1884892", "GSM1884893", "GSM1884894", "GSM1884895", "GSM1884896", "GSM1884897", "GSM1884898", "GSM1884899", "GSM1884900", "GSM1884901", "GSM1884902", "GSM1884903", "GSM1884904", "GSM1884905", "GSM1884906", "GSM1884907", "GSM1884908", "GSM1884909", "GSM1884910", "GSM1884911", "GSM1884912", "GSM1884913", "GSM1884914", "GSM1884915", "GSM1884916", "GSM1884917", "GSM1884918", "GSM1884919", "GSM1884920", "GSM1884921", "GSM1884922", "GSM1884923", "GSM1884924", "GSM1884925", "GSM1884926", "GSM1884927", "GSM1884928", "GSM1884929"], "sample_count": 808, "group_sizes": null, "group_sizes_basis": null, "platform": "16104;6801;20641;10558", "taxon": "Homo sapiens", "title": "Prostate cancer stratification using molecular profiles", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE81089", "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=GSE81089", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE81089", "version": null, "note": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM2142443", "GSM2142444", "GSM2142445", "GSM2142446", "GSM2142447", "GSM2142448", "GSM2142449", "GSM2142450", "GSM2142451", "GSM2142452", "GSM2142453", "GSM2142454", "GSM2142455", "GSM2142456", "GSM2142457", "GSM2142458", "GSM2142459", "GSM2142460", "GSM2142461", "GSM2142462", "GSM2142463", "GSM2142464", "GSM2142465", "GSM2142466", "GSM2142467", "GSM2142468", "GSM2142469", "GSM2142470", "GSM2142471", "GSM2142472", "GSM2142473", "GSM2142474", "GSM2142475", "GSM2142476", "GSM2142477", "GSM2142478", "GSM2142479", "GSM2142480", "GSM2142481", "GSM2142482", "GSM2142483", "GSM2142484", "GSM2142485", "GSM2142486", "GSM2142487", "GSM2142488", "GSM2142489", "GSM2142490", "GSM2142491", "GSM2142492", "GSM2142493", "GSM2142494", "GSM2142495", "GSM2142496", "GSM2142497", "GSM2142498", "GSM2142499", "GSM2142500", "GSM2142501", "GSM2142502", "GSM2142503", "GSM2142504", "GSM2142505", "GSM2142506", "GSM2142507", "GSM2142508", "GSM2142509", "GSM2142510", "GSM2142511", "GSM2142512", "GSM2142513", "GSM2142514", "GSM2142515", "GSM2142516", "GSM2142517", "GSM2142518", "GSM2142519", "GSM2142520", "GSM2142521", "GSM2142522", "GSM2142523", "GSM2142524", "GSM2142525", "GSM2142526", "GSM2142527", "GSM2142528", "GSM2142529", "GSM2142530", "GSM2142531", "GSM2142532", "GSM2142533", "GSM2142534", "GSM2142535", "GSM2142536", "GSM2142537", "GSM2142538", "GSM2142539", "GSM2142540", "GSM2142541", "GSM2142542", "GSM2142543", "GSM2142544", "GSM2142545", "GSM2142546", "GSM2142547", "GSM2142548", "GSM2142549", "GSM2142550", "GSM2142551", "GSM2142552", "GSM2142553", "GSM2142554", "GSM2142555", "GSM2142556", "GSM2142557", "GSM2142558", "GSM2142559", "GSM2142560", "GSM2142561", "GSM2142562", "GSM2142563", "GSM2142564", "GSM2142565", "GSM2142566", "GSM2142567", "GSM2142568", "GSM2142569", "GSM2142570", "GSM2142571", "GSM2142572", "GSM2142573", "GSM2142574", "GSM2142575", "GSM2142576", "GSM2142577", "GSM2142578", "GSM2142579", "GSM2142580", "GSM2142581", "GSM2142582", "GSM2142583", "GSM2142584", "GSM2142585", "GSM2142586", "GSM2142587", "GSM2142588", "GSM2142589", "GSM2142590", "GSM2142591", "GSM2142592", "GSM2142593", "GSM2142594", "GSM2142595", "GSM2142596", "GSM2142597", "GSM2142598", "GSM2142599", "GSM2142600", "GSM2142601", "GSM2142602", "GSM2142603", "GSM2142604", "GSM2142605", "GSM2142606", "GSM2142607", "GSM2142608", "GSM2142609", "GSM2142610", "GSM2142611", "GSM2142612", "GSM2142613", "GSM2142614", "GSM2142615", "GSM2142616", "GSM2142617", "GSM2142618", "GSM2142619", "GSM2142620", "GSM2142621", "GSM2142622", "GSM2142623", "GSM2142624", "GSM2142625", "GSM2142626", "GSM2142627", "GSM2142628", "GSM2142629", "GSM2142630", "GSM2142631", "GSM2142632", "GSM2142633", "GSM2142634", "GSM2142635", "GSM2142636", "GSM2142637", "GSM2142638", "GSM2142639", "GSM2142640", "GSM2142641", "GSM2142642", "GSM2142643", "GSM2142644", "GSM2142645", "GSM2142646", "GSM2142647", "GSM2142648", "GSM2142649", "GSM2142650", "GSM2142651", "GSM2142652", "GSM2142653", "GSM2142654", "GSM2142655", "GSM2142656", "GSM2142657", "GSM2142658", "GSM2142659", "GSM2142660"], "sample_count": 218, "group_sizes": null, "group_sizes_basis": null, "platform": "16791", "taxon": "Homo sapiens", "title": "Next Generation Sequencing (RNAseq) of non-small cell lung cancer", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:34140574:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:5ac184de29808c45cfac333d3ab97d443b3a8d4bc9f6d385ea0fc3a6c6dfa0bf", "bytes": 2228, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[3]/table-wrap[1]#Tab1", "version": null, "note": "Demographics and clinical parameters of the cohorts evaluated in the outcome analysis.", "structure": {"pmcid": "PMC8211811", "section_index": 3, "section_title": "Patient cohorts", "row_count": 28, "column_count": 9}, "table": {"label": "Table 1", "caption": "Demographics and clinical parameters of the cohorts evaluated in the outcome analysis.", "rows": [["", "NSCLC TCGA", "NSCLC GSE81089", "Breast TCGA", "Breast METABRIC", "Colorectal TCGA", "Colorectal GSE14333", "Prostate TCGA", "Prostate GSE70770"], ["Total, n", "1001", "199", "1091", "1900", "372", "236", "496", "203"], ["Age, median (range)", "67 (38–90)", "69 (45–84)", "58 (26–90)", "61 (21–96)", "66 (31–90)", "67 (26–92)", "61 (41–78)", "62 (41–73)"], ["Sex, n (%)"], ["Female", "400 (40)", "103 (52)", "1079 (99)", "1900 (100)", "166 (45)", "112 (47)", "0", "0"], ["Male", "601 (60)", "96 (48)", "12 (1)", "0", "206 (55)", "124 (53)", "496 (100)", "203 (100)"], ["Stage, n (%)"], ["1", "513 (51)", "115 (58)", "180 (16)", "475 (25)", "56 (15)", "45 (19)", "37 (7)", "11 (5)"], ["2", "279 (28)", "48 (24)", "618 (57)", "800 (42)", "134 (36)", "100 (42)", "339 (68)", "72 (35)"], ["3", "164 (16)", "33 (17)", "249 (23)", "115 (6)", "112 (30)", "91 (39)", "39 (8)", "107 (53)"], ["4", "33 (3)", "3 (2)", "20 (2)", "9 (0)", "52 (14)", "0 (0)", "81 (16)", "13 (6)"], ["NA", "25 (2)", "0 (0)", "24 (2)", "501 (26)", "18 (5)", "0 (0)", "0 (0)", "0 (0)"], ["Follow-up, months (median)", "21.5", "36.4", "27.8", "115.6", "22.1", "38.1", "30.5", "36.7"], ["Tobacco use, n (%)"], ["Ever smoker", "885 (88)", "180 (90)", "–", "–", "–", "–", "–", "–"], ["Never smoker", "91 (9)", "19 (10)", "–", "–", "–", "–", "–", "–"], ["NA", "25 (2)", "0", "–", "–", "–", "–", "–", "–"], ["NSCLC histology, n (%)"], ["Adenocarcinoma", "506 (51)", "108 (54)", "–", "–", "–", "–", "–", "–"], ["Squamous cell carcinoma", "495 (49)", "67 (34)", "–", "–", "–", "–", "–", "–"], ["NA", "0", "24 (12)", "–", "–", "–", "–", "–", "–"], ["PAM50 subtype, n (%)"], ["Luminal A", "–", "–", "413 (38)", "679 (36)", "–", "–", "–", "–"], ["Luminal B", "–", "–", "174 (16)", "460 (24)", "–", "–", "–", "–"], ["HER2-enriched", "–", "–", "65 (6)", "218 (11)", "–", "–", "–", "–"], ["Basal-like", "–", "–", "136 (12)", "397 (21)", "–", "–", "–", "–"], ["Normal-like", "–", "–", "25 (2)", "140 (7)", "–", "–", "–", "–"], ["NA", "–", "–", "278 (25)", "6 (0)", "–", "–", "–", "–"]], "row_count": 28, "column_count": 9, "numeric_cells": 112, "header_rows": 1, "locator": "section[3]/table-wrap[1]#Tab1"}}, {"id": "asset:table:pmid:34140574:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:5965e39e5d4f051de70f087faa3c99c1d8105fd96e9112d9b4062d95c184d870", "bytes": 1763, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[1]#Tab2", "version": null, "note": "Multivariate Cox proportional hazards analysis of cancer outcomes.", "structure": {"pmcid": "PMC8211811", "section_index": 4, "section_title": "DCBLD1 gene expression and cancer outcome", "row_count": 23, "column_count": 5}, "table": {"label": "Table 2", "caption": "Multivariate Cox proportional hazards analysis of cancer outcomes.", "rows": [["Variable", "HR (95% CI)", "P", "HR (95% CI)", "P"], ["Non-small cell lung carcinoma—overall survival"], ["", "TCGA", "GSE81089"], ["DCBLD1 expression (numerical)", "3.03 (1.11–8.04)", "0.03", "3.71 (1.05–13.09)", "0.04"], ["Age (numerical)", "1.79 (0.99–3.27)", "0.06", "1.32 (0.48–3.71)", "0.59"], ["Sex (male vs female)", "1.16 (0.93–1.43)", "0.17", "1.35 (0.90–2.05)", "0.15"], ["Stage (3–4 vs 1–2)", "1.96 (1.56–2.44)", "< 0.001", "2.41 (1.49–3.80)", "< 0.001"], ["Invasive breast carcinoma—overall survival"], ["", "TCGA", "METABRIC"], ["DCBLD1 expression (numerical)", "10.08 (1.49–60.66)", "0.02", "2.20 (1.38–3.48)", "< 0.001"], ["Age (numerical)", "7.98 (3.40–18.80)", "< 0.001", "12.27 (7.73–19.56)", "< 0.001"], ["Stage (3–4 vs 1–2)", "3.10 (2.16–4.43)", "< 0.001", "2.28 (1.82–2.81)", "< 0.001"], ["Colorectal adenocarcinoma—overall survival"], ["", "TCGA", "GSE14333"], ["DCBLD1 expression (numerical)", "2.39 (0.34–16.38)", "0.38", "1.40 (0.25–7.85)", "0.70"], ["Age (numerical)", "9.20 (2.98–29.46)", "< 0.001", "0.42 (0.11–1.56)", "0.42"], ["Sex (male vs female)", "1.02 (0.65–1.63)", "0.93", "1.00 (0.57–1.76)", "1.00"], ["Stage (3–4 vs 1–2)", "3.73 (2.30–6.22)", "< 0.001", "3.05 (1.74–5.49)", "< 0.001"], ["Prostate adenocarcinoma—biochemical recurrence"], ["", "TCGA", "GSE70770"], ["DCBLD1 expression (numerical)", "0.95 (0.11–8.49)", "0.97", "1.07 (0.08–16.79)", "0.96"], ["Age (numerical)", "1.93 (0.51–7.51)", "0.34", "1.40 (0.14–16.79)", "0.78"], ["Stage (3–4 vs 1–2)", "3.34 (1.99–5.57)", "< 0.001", "2.36 (0.78–10.15)", "0.14"]], "row_count": 23, "column_count": 5, "numeric_cells": 65, "header_rows": 1, "locator": "section[4]/table-wrap[1]#Tab2"}}, {"id": "asset:table:pmid:34140574:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:12414cf7533328b65ccf8075486abc3b6e587919f0cd31b1736ec7d09452c4eb", "bytes": 685, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[7]/table-wrap[1]#Tab3", "version": null, "note": "Significantly upregulated pathways for DCBLD1 high expression patients in the four TCGA cohorts.", "structure": {"pmcid": "PMC8211811", "section_index": 7, "section_title": "Upregulated and downregulated genes and pathways in patients with high DCBLD1 expression", "row_count": 6, "column_count": 3}, "table": {"label": "Table 3", "caption": "Significantly upregulated pathways for DCBLD1 high expression patients in the four TCGA cohorts.", "rows": [["Cancer", "Upregulated PANTHER pathway", "FDR"], ["Non-small cell lung carcinoma", "Integrin signaling pathway", "5.16 × 10–14"], ["Inflammation mediated by chemokine and cytokine signaling pathway", "9.33 × 10–04"], ["Invasive breast carcinoma", "Integrin signaling pathway", "1.94 × 10–05"], ["Colorectal adenocarcinoma", "No significantly upregulated pathway", "–"], ["Prostate adenocarcinoma", "No significantly upregulated pathway", "–"]], "row_count": 6, "column_count": 3, "numeric_cells": 3, "header_rows": 1, "locator": "section[7]/table-wrap[1]#Tab3"}}], "gaps": ["asset:data:geo:GSE14333 not downloaded", "asset:data:geo:GSE14333 licence not read", "asset:data:geo:GSE70770 not downloaded", "asset:data:geo:GSE70770 licence not read", "asset:data:geo:GSE81089 not downloaded", "asset:data:geo:GSE81089 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model."}}, {"id": "method-2", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "pathway enrichment"}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "capability": {"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": {"tier": "R1", "reachable": true, "accessions": ["GSE81089", "GSE14333", "GSE70770"], "resolved_accessions": ["GSE81089", "GSE14333", "GSE70770"], "statements": ["Clinical data from the TCGA and METABRIC cohorts were obtained using cBioPortal for Cancer Genomics (www.cbioportal.com)47,48."], "basis": "The paper names GSE81089, GSE14333, GSE70770 in National Center for Biotechnology Information (NCBI) Gene Expression Omnibus database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:34140574", "data:geo:GSE14333", "asset:table:pmid:34140574:1", "asset:table:pmid:34140574:2", "asset:table:pmid:34140574:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE14333"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:31:20Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 29600, "completion_tokens": 2465, "cached_tokens": 9728}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:34140574", "type": "paper", "label": "pmid:34140574"}, {"id": "source:pmid:34140574", "type": "manuscript", "label": "PMID 34140574 full text"}, {"id": "data:geo:GSE14333", "type": "dataset", "label": "GEO GSE14333"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34140574", "type": "paper", "label": "pmid:34140574"}, {"id": "source:pmid:34140574", "type": "manuscript", "label": "PMID 34140574 full text"}, {"id": "data:geo:GSE14333", "type": "dataset", "label": "GEO GSE14333"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34140574", "type": "extraction", "used": ["source:pmid:34140574"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE14333", "type": "accession_resolution", "used": ["data:geo:GSE14333"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:34140574", "parent_hash": "sha256:88bd523a5e576ea8e91aef34800cf446909311200dc033007da543853280e669", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE14333 licence not read", "asset:data:geo:GSE14333 not downloaded", "asset:data:geo:GSE70770 licence not read", "asset:data:geo:GSE70770 not downloaded", "asset:data:geo:GSE81089 licence not read", "asset:data:geo:GSE81089 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["s of high DCBLD1 expression, we compared the RNA-seq gene expression profiles of 50 patients with"], "order_basis": "paper_text_order:1867", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["HR was evaluated using the multivariate Cox proportional hazards analysis for the multivariate survival prediction model."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}