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

pmid:39269650

Unveiling the impact of cell death-related genes and immune dynamics on drug resistance in lung adenocarcinoma: a risk score model and functional insights.

Yuanyuan Xiao · Shancheng He · Baochang Xie · Wenqi Zhao · Dengliang Ji

Discover oncology · 2024 doi:10.1007/s12672-024-01336-y

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

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:39269650
kind
science-record
content_hash
sha256:5969d7d1e264b4d71d4706c1d08ff48aff345d63d68668842fd5055c75f26626
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:29:25Z
updated_at
2026-11-01T22:12:40Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Unveiling the impact of cell death-related genes and immune dynamics on drug resistance in lung adenocarcinoma: a risk score model and functional insights.
doi
10.1007/s12672-024-01336-y
pmid
39269650
authors array · 5 items
[0]
Yuanyuan Xiao
[1]
Shancheng He
[2]
Baochang Xie
[3]
Wenqi Zhao
[4]
Dengliang Ji
journal
Discover oncology
year
2024
abstract
Lung adenocarcinoma (LUAD), characterized by its heterogeneity and complex pathogenesis, is the focus of this study which investigates the association between cell death-related genes and LUAD. Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively. The study reveals that the expression of Keratin 18 (KRT18), a key cytoskeletal protein, varies across LUAD cell lines (DV-90, PC-9, A549) compared to normal bronchial epithelial cells (BEAS-2B), suggesting its potential role in LUAD's pathogenesis. Kaplan-Meier survival curves further validate the model, indicating longer survival in the low-risk group. A comprehensive analysis of gene expression, functional differences, immune infiltration, and mutations underscores significant variations between risk groups, highlighting the high-risk group's immunological dysfunction. This points to a more intricate tumor immune environment and the possibility of alternative therapeutic strategies. The study also delves into drug sensitivity, showing distinct responses between risk groups, underscoring the importance of risk stratification in treatment decisions for LUAD patients. Additionally, it explores KRT18's epigenetic regulation and its correlation with immune cell infiltration and immune regulatory molecules, suggesting KRT18's significant role in the tumor immune landscape. This research not only offers a valuable prognostic tool for LUAD but also illuminates the complex interplay between cell death-related genes, drug sensitivity, and immune infiltration, positioning KRT18 as a potential therapeutic or prognostic target to improve patient outcomes by personalizing LUAD treatment strategies.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The CoxBoost RSF algorithm was selected for our risk score model due to its strengths in survival analysis.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39269650
locator
sections[11] "Establishment and validation of the risk score model" paragraph 2
quote
The CoxBoost RSF algorithm was selected for our risk score model due to its strengths in survival analysis.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39269650
locator
sections[23] "Data availability" paragraph 2
quote
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39269650
locator
sections[0] "Abstract" paragraph 1
quote
Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
objective
Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively.
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:39269650
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:GSE30219
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
blocked
blocked_on
method:group_comparison_wilcoxon
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:GSE30219
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 · 1 item
[0]
step:run_analysis blocked on method:group_comparison_wilcoxon
data object · 3 fields
state
partial
assets array · 5 items
[0] object · 15 fields
id
source:pmid:39269650
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1007/s12672-024-01336-y
sha256
sha256:05373fe2df8255802943ebf9580b538305052290acd8c4c4a945101a74464149
bytes
44963
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1007/s12672-024-01336-y
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
PMC11399484
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE30219
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=GSE30219
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE30219
version
null
note
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 307 items
[0]
GSM1465989
[1]
GSM1465990
[2]
GSM1465991
[3]
GSM1465992
[4]
GSM1465993
[5]
GSM1465994
[6]
GSM1465995
[7]
GSM1465996
[8]
GSM1465997
[9]
GSM1465998
[10]
GSM1465999
[11]
GSM748053
[12]
GSM748054
[13]
GSM748055
[14]
GSM748056
[15]
GSM748057
[16]
GSM748058
[17]
GSM748059
[18]
GSM748060
[19]
GSM748061
[20]
GSM748062
[21]
GSM748063
[22]
GSM748064
[23]
GSM748065
[24]
GSM748066
[25]
GSM748067
[26]
GSM748068
[27]
GSM748069
[28]
GSM748070
[29]
GSM748071
[30]
GSM748072
[31]
GSM748073
[32]
GSM748074
[33]
GSM748075
[34]
GSM748076
[35]
GSM748077
[36]
GSM748078
[37]
GSM748079
[38]
GSM748080
[39]
GSM748081
[40]
GSM748083
[41]
GSM748084
[42]
GSM748085
[43]
GSM748086
[44]
GSM748087
[45]
GSM748088
[46]
GSM748089
[47]
GSM748090
[48]
GSM748091
[49]
GSM748092
[50]
GSM748093
[51]
GSM748094
[52]
GSM748095
[53]
GSM748096
[54]
GSM748097
[55]
GSM748098
[56]
GSM748099
[57]
GSM748100
[58]
GSM748101
[59]
GSM748102
[60]
GSM748103
[61]
GSM748104
[62]
GSM748105
[63]
GSM748106
[64]
GSM748107
[65]
GSM748108
[66]
GSM748109
[67]
GSM748110
[68]
GSM748111
[69]
GSM748112
[70]
GSM748113
[71]
GSM748115
[72]
GSM748116
[73]
GSM748117
[74]
GSM748118
[75]
GSM748119
[76]
GSM748120
[77]
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
[2] object · 15 fields
id
data:geo:GSE31210
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=GSE31210
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE31210
version
null
note
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 246 items
[0]
GSM773540
[1]
GSM773541
[2]
GSM773542
[3]
GSM773543
[4]
GSM773544
[5]
GSM773545
[6]
GSM773546
[7]
GSM773547
[8]
GSM773548
[9]
GSM773549
[10]
GSM773550
[11]
GSM773551
[12]
GSM773552
[13]
GSM773553
[14]
GSM773554
[15]
GSM773555
[16]
GSM773556
[17]
GSM773557
[18]
GSM773558
[19]
GSM773559
[20]
GSM773560
[21]
GSM773561
[22]
GSM773562
[23]
GSM773563
[24]
GSM773564
[25]
GSM773565
[26]
GSM773566
[27]
GSM773567
[28]
GSM773568
[29]
GSM773569
[30]
GSM773570
[31]
GSM773571
[32]
GSM773572
[33]
GSM773573
[34]
GSM773574
[35]
GSM773575
[36]
GSM773576
[37]
GSM773577
[38]
GSM773578
[39]
GSM773579
[40]
GSM773580
[41]
GSM773581
[42]
GSM773582
[43]
GSM773583
[44]
GSM773584
[45]
GSM773585
[46]
GSM773586
[47]
GSM773587
[48]
GSM773588
[49]
GSM773589
[50]
GSM773590
[51]
GSM773591
[52]
GSM773592
[53]
GSM773593
[54]
GSM773594
[55]
GSM773595
[56]
GSM773596
[57]
GSM773597
[58]
GSM773598
[59]
GSM773599
[60]
GSM773600
[61]
GSM773601
[62]
GSM773602
[63]
GSM773603
[64]
GSM773604
[65]
GSM773605
[66]
GSM773606
[67]
GSM773607
[68]
GSM773608
[69]
GSM773609
[70]
GSM773610
[71]
GSM773611
[72]
GSM773612
[73]
GSM773613
[74]
GSM773614
[75]
GSM773615
[76]
GSM773616
[77]
GSM773617
[78]
GSM773618
[79]
GSM773619
[80]
GSM773620
[81]
GSM773621
[82]
GSM773622
[83]
GSM773623
[84]
GSM773624
[85]
GSM773625
[86]
GSM773626
[87]
GSM773627
[88]
GSM773628
[89]
GSM773629
[90]
GSM773630
[91]
GSM773631
[92]
GSM773632
[93]
GSM773633
[94]
GSM773634
[95]
GSM773635
[96]
GSM773636
[97]
GSM773637
[98]
GSM773638
[99]
GSM773639
[100]
GSM773640
[101]
GSM773641
[102]
GSM773642
[103]
GSM773643
[104]
GSM773644
[105]
GSM773645
[106]
GSM773646
[107]
GSM773647
[108]
GSM773648
[109]
GSM773649
[110]
GSM773650
[111]
GSM773651
[112]
GSM773652
[113]
GSM773653
[114]
GSM773654
[115]
GSM773655
[116]
GSM773656
[117]
GSM773657
[118]
GSM773658
[119]
GSM773659
[120]
GSM773660
[121]
GSM773661
[122]
GSM773662
[123]
GSM773663
[124]
GSM773664
[125]
GSM773665
[126]
GSM773666
[127]
GSM773667
[128]
GSM773668
[129]
GSM773669
[130]
GSM773670
[131]
GSM773671
[132]
GSM773672
[133]
GSM773673
[134]
GSM773674
[135]
GSM773675
[136]
GSM773676
[137]
GSM773677
[138]
GSM773678
[139]
GSM773679
[140]
GSM773680
[141]
GSM773681
[142]
GSM773682
[143]
GSM773683
[144]
GSM773684
[145]
GSM773685
[146]
GSM773686
[147]
GSM773687
[148]
GSM773688
[149]
GSM773689
[150]
GSM773690
[151]
GSM773691
[152]
GSM773692
[153]
GSM773693
[154]
GSM773694
[155]
GSM773695
[156]
GSM773696
[157]
GSM773697
[158]
GSM773698
[159]
GSM773699
[160]
GSM773700
[161]
GSM773701
[162]
GSM773702
[163]
GSM773703
[164]
GSM773704
[165]
GSM773705
[166]
GSM773706
[167]
GSM773707
[168]
GSM773708
[169]
GSM773709
[170]
GSM773710
[171]
GSM773711
[172]
GSM773712
[173]
GSM773713
[174]
GSM773714
[175]
GSM773715
[176]
GSM773716
[177]
GSM773717
[178]
GSM773718
[179]
GSM773719
[180]
GSM773720
[181]
GSM773721
[182]
GSM773722
[183]
GSM773723
[184]
GSM773724
[185]
GSM773725
[186]
GSM773726
[187]
GSM773727
[188]
GSM773728
[189]
GSM773729
[190]
GSM773730
[191]
GSM773731
[192]
GSM773732
[193]
GSM773733
[194]
GSM773734
[195]
GSM773735
[196]
GSM773736
[197]
GSM773737
[198]
GSM773738
[199]
GSM773739
[200]
GSM773740
[201]
GSM773741
[202]
GSM773742
[203]
GSM773743
[204]
GSM773744
[205]
GSM773745
[206]
GSM773746
[207]
GSM773747
[208]
GSM773748
[209]
GSM773749
[210]
GSM773750
[211]
GSM773751
[212]
GSM773752
[213]
GSM773753
[214]
GSM773754
[215]
GSM773755
[216]
GSM773756
[217]
GSM773757
[218]
GSM773758
[219]
GSM773759
[220]
GSM773760
[221]
GSM773761
[222]
GSM773762
[223]
GSM773763
[224]
GSM773764
[225]
GSM773765
[226]
GSM773766
[227]
GSM773767
[228]
GSM773768
[229]
GSM773769
[230]
GSM773770
[231]
GSM773771
[232]
GSM773772
[233]
GSM773773
[234]
GSM773774
[235]
GSM773775
[236]
GSM773776
[237]
GSM773777
[238]
GSM773778
[239]
GSM773779
[240]
GSM773780
[241]
GSM773781
[242]
GSM773782
[243]
GSM773783
[244]
GSM773784
[245]
GSM773785
sample_count
246
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression data for pathological stage I-II lung adenocarcinomas
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE68465
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=GSE68465
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE68465
version
null
note
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 462 items
[0]
GSM1672281
[1]
GSM1672282
[2]
GSM1672283
[3]
GSM1672284
[4]
GSM1672285
[5]
GSM1672286
[6]
GSM1672287
[7]
GSM1672288
[8]
GSM1672289
[9]
GSM1672290
[10]
GSM1672291
[11]
GSM1672292
[12]
GSM1672293
[13]
GSM1672294
[14]
GSM1672295
[15]
GSM1672296
[16]
GSM1672297
[17]
GSM1672298
[18]
GSM1672299
[19]
GSM1672300
[20]
GSM1672301
[21]
GSM1672302
[22]
GSM1672303
[23]
GSM1672304
[24]
GSM1672305
[25]
GSM1672306
[26]
GSM1672307
[27]
GSM1672308
[28]
GSM1672309
[29]
GSM1672310
[30]
GSM1672311
[31]
GSM1672312
[32]
GSM1672313
[33]
GSM1672314
[34]
GSM1672315
[35]
GSM1672316
[36]
GSM1672317
[37]
GSM1672318
[38]
GSM1672319
[39]
GSM1672320
[40]
GSM1672321
[41]
GSM1672322
[42]
GSM1672323
[43]
GSM1672324
[44]
GSM1672325
[45]
GSM1672326
[46]
GSM1672327
[47]
GSM1672328
[48]
GSM1672329
[49]
GSM1672330
[50]
GSM1672331
[51]
GSM1672332
[52]
GSM1672333
[53]
GSM1672334
[54]
GSM1672335
[55]
GSM1672336
[56]
GSM1672337
[57]
GSM1672338
[58]
GSM1672339
[59]
GSM1672340
[60]
GSM1672341
[61]
GSM1672342
[62]
GSM1672343
[63]
GSM1672344
[64]
GSM1672345
[65]
GSM1672346
[66]
GSM1672347
[67]
GSM1672348
[68]
GSM1672349
[69]
GSM1672350
[70]
GSM1672351
[71]
GSM1672352
[72]
GSM1672353
[73]
GSM1672354
[74]
GSM1672355
[75]
GSM1672356
[76]
GSM1672357
[77]
GSM1672358
[78]
GSM1672359
[79]
GSM1672360
[80]
GSM1672361
[81]
GSM1672362
[82]
GSM1672363
[83]
GSM1672364
[84]
GSM1672365
[85]
GSM1672366
[86]
GSM1672367
[87]
GSM1672368
[88]
GSM1672369
[89]
GSM1672370
[90]
GSM1672371
[91]
GSM1672372
[92]
GSM1672373
[93]
GSM1672374
[94]
GSM1672375
[95]
GSM1672376
[96]
GSM1672377
[97]
GSM1672378
[98]
GSM1672379
[99]
GSM1672380
[100]
GSM1672381
[101]
GSM1672382
[102]
GSM1672383
[103]
GSM1672384
[104]
GSM1672385
[105]
GSM1672386
[106]
GSM1672387
[107]
GSM1672388
[108]
GSM1672389
[109]
GSM1672390
[110]
GSM1672391
[111]
GSM1672392
[112]
GSM1672393
[113]
GSM1672394
[114]
GSM1672395
[115]
GSM1672396
[116]
GSM1672397
[117]
GSM1672398
[118]
GSM1672399
[119]
GSM1672400
[120]
GSM1672401
[121]
GSM1672402
[122]
GSM1672403
[123]
GSM1672404
[124]
GSM1672405
[125]
GSM1672406
[126]
GSM1672407
[127]
GSM1672408
[128]
GSM1672409
[129]
GSM1672410
[130]
GSM1672411
[131]
GSM1672412
[132]
GSM1672413
[133]
GSM1672414
[134]
GSM1672415
[135]
GSM1672416
[136]
GSM1672417
[137]
GSM1672418
[138]
GSM1672419
[139]
GSM1672420
[140]
GSM1672421
[141]
GSM1672422
[142]
GSM1672423
[143]
GSM1672424
[144]
GSM1672425
[145]
GSM1672426
[146]
GSM1672427
[147]
GSM1672428
[148]
GSM1672429
[149]
GSM1672430
[150]
GSM1672431
[151]
GSM1672432
[152]
GSM1672433
[153]
GSM1672434
[154]
GSM1672435
[155]
GSM1672436
[156]
GSM1672437
[157]
GSM1672438
[158]
GSM1672439
[159]
GSM1672440
[160]
GSM1672441
[161]
GSM1672442
[162]
GSM1672443
[163]
GSM1672444
[164]
GSM1672445
[165]
GSM1672446
[166]
GSM1672447
[167]
GSM1672448
[168]
GSM1672449
[169]
GSM1672450
[170]
GSM1672451
[171]
GSM1672452
[172]
GSM1672453
[173]
GSM1672454
[174]
GSM1672455
[175]
GSM1672456
[176]
GSM1672457
[177]
GSM1672458
[178]
GSM1672459
[179]
GSM1672460
[180]
GSM1672461
[181]
GSM1672462
[182]
GSM1672463
[183]
GSM1672464
[184]
GSM1672465
[185]
GSM1672466
[186]
GSM1672467
[187]
GSM1672468
[188]
GSM1672469
[189]
GSM1672470
[190]
GSM1672471
[191]
GSM1672472
[192]
GSM1672473
[193]
GSM1672474
[194]
GSM1672475
[195]
GSM1672476
[196]
GSM1672477
[197]
GSM1672478
[198]
GSM1672479
[199]
GSM1672480
[200]
GSM1672481
[201]
GSM1672482
[202]
GSM1672483
[203]
GSM1672484
[204]
GSM1672485
[205]
GSM1672486
[206]
GSM1672487
[207]
GSM1672488
[208]
GSM1672489
[209]
GSM1672490
[210]
GSM1672491
[211]
GSM1672492
[212]
GSM1672493
[213]
GSM1672494
[214]
GSM1672495
[215]
GSM1672496
[216]
GSM1672497
[217]
GSM1672498
[218]
GSM1672499
[219]
GSM1672500
[220]
GSM1672501
[221]
GSM1672502
[222]
GSM1672503
[223]
GSM1672504
[224]
GSM1672505
[225]
GSM1672506
[226]
GSM1672507
[227]
GSM1672508
[228]
GSM1672509
[229]
GSM1672510
[230]
GSM1672511
[231]
GSM1672512
[232]
GSM1672513
[233]
GSM1672514
[234]
GSM1672515
[235]
GSM1672516
[236]
GSM1672517
[237]
GSM1672518
[238]
GSM1672519
[239]
GSM1672520
[240]
GSM1672521
[241]
GSM1672522
[242]
GSM1672523
[243]
GSM1672524
[244]
GSM1672525
[245]
GSM1672526
[246]
GSM1672527
[247]
GSM1672528
[248]
GSM1672529
[249]
GSM1672530
[250]
GSM1672531
[251]
GSM1672532
[252]
GSM1672533
[253]
GSM1672534
[254]
GSM1672535
[255]
GSM1672536
[256]
GSM1672537
[257]
GSM1672538
[258]
GSM1672539
[259]
GSM1672540
[260]
GSM1672541
[261]
GSM1672542
[262]
GSM1672543
[263]
GSM1672544
[264]
GSM1672545
[265]
GSM1672546
[266]
GSM1672547
[267]
GSM1672548
[268]
GSM1672549
[269]
GSM1672550
[270]
GSM1672551
[271]
GSM1672552
[272]
GSM1672553
[273]
GSM1672554
[274]
GSM1672555
[275]
GSM1672556
[276]
GSM1672557
[277]
GSM1672558
[278]
GSM1672559
[279]
GSM1672560
[280]
GSM1672561
[281]
GSM1672562
[282]
GSM1672563
[283]
GSM1672564
[284]
GSM1672565
[285]
GSM1672566
[286]
GSM1672567
[287]
GSM1672568
[288]
GSM1672569
[289]
GSM1672570
[290]
GSM1672571
[291]
GSM1672572
[292]
GSM1672573
[293]
GSM1672574
[294]
GSM1672575
[295]
GSM1672576
[296]
GSM1672577
[297]
GSM1672578
[298]
GSM1672579
[299]
GSM1672580
[300]
GSM1672581
[301]
GSM1672582
[302]
GSM1672583
[303]
GSM1672584
[304]
GSM1672585
[305]
GSM1672586
[306]
GSM1672587
[307]
GSM1672588
[308]
GSM1672589
[309]
GSM1672590
[310]
GSM1672591
[311]
GSM1672592
[312]
GSM1672593
[313]
GSM1672594
[314]
GSM1672595
[315]
GSM1672596
[316]
GSM1672597
[317]
GSM1672598
[318]
GSM1672599
[319]
GSM1672600
[320]
GSM1672601
[321]
GSM1672602
[322]
GSM1672603
[323]
GSM1672604
[324]
GSM1672605
[325]
GSM1672606
[326]
GSM1672607
[327]
GSM1672608
[328]
GSM1672609
[329]
GSM1672610
[330]
GSM1672611
[331]
GSM1672612
[332]
GSM1672613
[333]
GSM1672614
[334]
GSM1672615
[335]
GSM1672616
[336]
GSM1672617
[337]
GSM1672618
[338]
GSM1672619
[339]
GSM1672620
[340]
GSM1672621
[341]
GSM1672622
[342]
GSM1672623
[343]
GSM1672624
[344]
GSM1672625
[345]
GSM1672626
[346]
GSM1672627
[347]
GSM1672628
[348]
GSM1672629
[349]
GSM1672630
[350]
GSM1672631
[351]
GSM1672632
[352]
GSM1672633
[353]
GSM1672634
[354]
GSM1672635
[355]
GSM1672636
[356]
GSM1672637
[357]
GSM1672638
[358]
GSM1672639
[359]
GSM1672640
[360]
GSM1672641
[361]
GSM1672642
[362]
GSM1672643
[363]
GSM1672644
[364]
GSM1672645
[365]
GSM1672646
[366]
GSM1672647
[367]
GSM1672648
[368]
GSM1672649
[369]
GSM1672650
[370]
GSM1672651
[371]
GSM1672652
[372]
GSM1672653
[373]
GSM1672654
[374]
GSM1672655
[375]
GSM1672656
[376]
GSM1672657
[377]
GSM1672658
[378]
GSM1672659
[379]
GSM1672660
[380]
GSM1672661
[381]
GSM1672662
[382]
GSM1672663
[383]
GSM1672664
[384]
GSM1672665
[385]
GSM1672666
[386]
GSM1672667
[387]
GSM1672668
[388]
GSM1672669
[389]
GSM1672670
[390]
GSM1672671
[391]
GSM1672672
[392]
GSM1672673
[393]
GSM1672674
[394]
GSM1672675
[395]
GSM1672676
[396]
GSM1672677
[397]
GSM1672678
[398]
GSM1672679
[399]
GSM1672680
[400]
GSM1672681
[401]
GSM1672682
[402]
GSM1672683
[403]
GSM1672684
[404]
GSM1672685
[405]
GSM1672686
[406]
GSM1672687
[407]
GSM1672688
[408]
GSM1672689
[409]
GSM1672690
[410]
GSM1672691
[411]
GSM1672692
[412]
GSM1672693
[413]
GSM1672694
[414]
GSM1672695
[415]
GSM1672696
[416]
GSM1672697
[417]
GSM1672698
[418]
GSM1672699
[419]
GSM1672700
[420]
GSM1672701
[421]
GSM1672702
[422]
GSM1672703
[423]
GSM1672704
[424]
GSM1672705
[425]
GSM1672706
[426]
GSM1672707
[427]
GSM1672708
[428]
GSM1672709
[429]
GSM1672710
[430]
GSM1672711
[431]
GSM1672712
[432]
GSM1672713
[433]
GSM1672714
[434]
GSM1672715
[435]
GSM1672716
[436]
GSM1672717
[437]
GSM1672718
[438]
GSM1672719
[439]
GSM1672720
[440]
GSM1672721
[441]
GSM1672722
[442]
GSM1672723
[443]
GSM1672724
[444]
GSM1672725
[445]
GSM1672726
[446]
GSM1672727
[447]
GSM1672728
[448]
GSM1672729
[449]
GSM1672730
[450]
GSM1672731
[451]
GSM1672732
[452]
GSM1672733
[453]
GSM1672734
[454]
GSM1672735
[455]
GSM1672736
[456]
GSM1672737
[457]
GSM1672738
[458]
GSM1672739
[459]
GSM1672740
[460]
GSM1672741
[461]
GSM1672742
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
[4] object · 15 fields
id
data:geo:GSE72094
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=GSE72094
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE72094
version
null
note
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 442 items
[0]
GSM1854797
[1]
GSM1854798
[2]
GSM1854799
[3]
GSM1854800
[4]
GSM1854801
[5]
GSM1854802
[6]
GSM1854803
[7]
GSM1854804
[8]
GSM1854805
[9]
GSM1854806
[10]
GSM1854807
[11]
GSM1854808
[12]
GSM1854809
[13]
GSM1854810
[14]
GSM1854811
[15]
GSM1854812
[16]
GSM1854813
[17]
GSM1854814
[18]
GSM1854815
[19]
GSM1854816
[20]
GSM1854817
[21]
GSM1854818
[22]
GSM1854819
[23]
GSM1854820
[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
gaps array · 8 items
[0]
asset:data:geo:GSE30219 not downloaded
[1]
asset:data:geo:GSE30219 licence not read
[2]
asset:data:geo:GSE31210 not downloaded
[3]
asset:data:geo:GSE31210 licence not read
[4]
asset:data:geo:GSE68465 not downloaded
[5]
asset:data:geo:GSE68465 licence not read
[6]
asset:data:geo:GSE72094 not downloaded
[7]
asset:data:geo:GSE72094 licence not read
analysis object · 4 fields
state
partial
methods array · 7 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[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
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
COX regression
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[4] object · 10 fields
id
method-5
family
correlation_analysis
specific
spearman
label
Correlation analysis
dsl_operations array · 1 item
[0]
spearman_rho
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Spearman correlation
[5] object · 10 fields
id
method-6
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
[6] object · 10 fields
id
method-7
family
null
specific
null
label
CoxBoost RSF
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
The CoxBoost RSF algorithm was selected for our risk score model due to its strengths in survival analysis.
targets array · 0 items
gaps array · 2 items
[0]
method.reader_named_unmapped
[1]
method.group_comparison_wilcoxon
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
false
required_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE30219
[1]
GSE31210
[2]
GSE72094
[3]
GSE68465
resolved_accessions array · 4 items
[0]
GSE30219
[1]
GSE31210
[2]
GSE72094
[3]
GSE68465
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
basis
The paper names GSE30219, GSE31210, GSE72094, GSE68465 in 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 · 0 items
assets array · 2 items
[0]
source:pmid:39269650
[1]
data:geo:GSE30219
steps array · 0 items
must_build object · 5 fields
dsl_operations array · 1 item
[0] object · 3 fields
operation
group_comparison_wilcoxon
priority
null
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE30219
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
2026-11-01T19:31:20Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
12222
completion_tokens
1953
cached_tokens
256
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:39269650
type
paper
label
pmid:39269650
[1] object · 3 fields
id
source:pmid:39269650
type
manuscript
label
PMID 39269650 full text
[2] object · 3 fields
id
data:geo:GSE30219
type
dataset
label
GEO GSE30219
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:39269650
type
paper
label
pmid:39269650
[1] object · 3 fields
id
source:pmid:39269650
type
manuscript
label
PMID 39269650 full text
[2] object · 3 fields
id
data:geo:GSE30219
type
dataset
label
GEO GSE30219
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-39269650
type
extraction
used array · 1 item
[0]
source:pmid:39269650
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE30219
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE30219
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:39269650
parent_hash
sha256:2527399102a8b9fc6dba926d24e620bf6cb821364a239019bab44570c7770144
fork_of
null
gaps array · 15 items
[0]
asset:data:geo:GSE30219 licence not read
[1]
asset:data:geo:GSE30219 not downloaded
[2]
asset:data:geo:GSE31210 licence not read
[3]
asset:data:geo:GSE31210 not downloaded
[4]
asset:data:geo:GSE68465 licence not read
[5]
asset:data:geo:GSE68465 not downloaded
[6]
asset:data:geo:GSE72094 licence not read
[7]
asset:data:geo:GSE72094 not downloaded
[8]
execution.not_run
[9]
method.group_comparison_wilcoxon
[10]
method.reader_named_unmapped
[11]
review.human_critique
[12]
review.independent_reader
[13]
review.machine_critique
[14]
step:run_analysis blocked on method:group_comparison_wilcoxon
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
varies across LUAD cell lines (DV-90, PC-9, A549) compared to normal bronchial epithelial cel
order_basis
paper_text_order:717
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
methylation_array
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.85
evidence array · 1 item
[0]
IBERSORT, QUANTISEQ, MCP-counter, xCell, and EPIC.Heatmap illustrating the expression differen
order_basis
paper_text_order:6497
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
group_comparison
definition_version
f2132e96ae6c7a4e
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Wilcoxon
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39269650", "kind": "science-record", "revision": 3, "content_hash": "sha256:5969d7d1e264b4d71d4706c1d08ff48aff345d63d68668842fd5055c75f26626", "created_at": "2026-11-01T20:29:25Z", "updated_at": "2026-11-01T22:12:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Unveiling the impact of cell death-related genes and immune dynamics on drug resistance in lung adenocarcinoma: a risk score model and functional insights.", "doi": "10.1007/s12672-024-01336-y", "pmid": "39269650", "authors": ["Yuanyuan Xiao", "Shancheng He", "Baochang Xie", "Wenqi Zhao", "Dengliang Ji"], "journal": "Discover oncology", "year": 2024, "abstract": "Lung adenocarcinoma (LUAD), characterized by its heterogeneity and complex pathogenesis, is the focus of this study which investigates the association between cell death-related genes and LUAD. Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively. The study reveals that the expression of Keratin 18 (KRT18), a key cytoskeletal protein, varies across LUAD cell lines (DV-90, PC-9, A549) compared to normal bronchial epithelial cells (BEAS-2B), suggesting its potential role in LUAD's pathogenesis. Kaplan-Meier survival curves further validate the model, indicating longer survival in the low-risk group. A comprehensive analysis of gene expression, functional differences, immune infiltration, and mutations underscores significant variations between risk groups, highlighting the high-risk group's immunological dysfunction. This points to a more intricate tumor immune environment and the possibility of alternative therapeutic strategies. The study also delves into drug sensitivity, showing distinct responses between risk groups, underscoring the importance of risk stratification in treatment decisions for LUAD patients. Additionally, it explores KRT18's epigenetic regulation and its correlation with immune cell infiltration and immune regulatory molecules, suggesting KRT18's significant role in the tumor immune landscape. This research not only offers a valuable prognostic tool for LUAD but also illuminates the complex interplay between cell death-related genes, drug sensitivity, and immune infiltration, positioning KRT18 as a potential therapeutic or prognostic target to improve patient outcomes by personalizing LUAD treatment strategies.", "claims": [{"id": "claim-method", "statement": "The CoxBoost RSF algorithm was selected for our risk score model due to its strengths in survival analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39269650", "locator": "sections[11] \"Establishment and validation of the risk score model\" paragraph 2", "quote": "The CoxBoost RSF algorithm was selected for our risk score model due to its strengths in survival analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39269650", "locator": "sections[23] \"Data availability\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39269650", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Through machine learning, a risk score model was developed using the Coxboost rsf algorithm, demonstrating strong prognostic accuracy in both validation (GSE30219, GSE31210, GSE72094) and training (TCGA-LUAD) datasets with C-indices of 0.93, 0.67, 0.68, and 0.64, respectively.", "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:39269650"], "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:GSE30219"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "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:GSE30219"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39269650", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s12672-024-01336-y", "sha256": "sha256:05373fe2df8255802943ebf9580b538305052290acd8c4c4a945101a74464149", "bytes": 44963, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1007/s12672-024-01336-y", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11399484", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE30219", "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=GSE30219", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE30219", "version": null, "note": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1465989", "GSM1465990", "GSM1465991", "GSM1465992", "GSM1465993", "GSM1465994", "GSM1465995", "GSM1465996", "GSM1465997", "GSM1465998", "GSM1465999", "GSM748053", "GSM748054", "GSM748055", "GSM748056", "GSM748057", "GSM748058", "GSM748059", "GSM748060", "GSM748061", "GSM748062", "GSM748063", "GSM748064", "GSM748065", "GSM748066", "GSM748067", "GSM748068", "GSM748069", "GSM748070", "GSM748071", "GSM748072", "GSM748073", "GSM748074", "GSM748075", "GSM748076", "GSM748077", "GSM748078", "GSM748079", "GSM748080", "GSM748081", "GSM748083", "GSM748084", "GSM748085", "GSM748086", "GSM748087", "GSM748088", "GSM748089", "GSM748090", "GSM748091", "GSM748092", "GSM748093", "GSM748094", "GSM748095", "GSM748096", "GSM748097", "GSM748098", "GSM748099", "GSM748100", "GSM748101", "GSM748102", "GSM748103", "GSM748104", "GSM748105", "GSM748106", "GSM748107", "GSM748108", "GSM748109", "GSM748110", "GSM748111", "GSM748112", "GSM748113", "GSM748115", "GSM748116", "GSM748117", "GSM748118", "GSM748119", "GSM748120", "GSM748121", "GSM748122", "GSM748123", "GSM748124", "GSM748125", "GSM748126", "GSM748127", "GSM748128", "GSM748129", "GSM748130", "GSM748131", "GSM748132", "GSM748133", "GSM748134", "GSM748135", "GSM748136", "GSM748137", "GSM748138", "GSM748139", "GSM748140", "GSM748141", "GSM748142", "GSM748143", "GSM748144", "GSM748145", "GSM748146", "GSM748147", "GSM748148", "GSM748149", "GSM748150", "GSM748151", "GSM748152", "GSM748153", "GSM748154", "GSM748155", "GSM748156", "GSM748157", "GSM748158", "GSM748159", "GSM748160", "GSM748161", "GSM748162", "GSM748163", "GSM748164", "GSM748165", "GSM748166", "GSM748167", "GSM748168", "GSM748169", "GSM748170", "GSM748171", "GSM748172", "GSM748173", "GSM748174", "GSM748175", "GSM748176", "GSM748177", "GSM748178", "GSM748179", "GSM748180", "GSM748181", "GSM748182", "GSM748183", "GSM748184", "GSM748185", "GSM748186", "GSM748187", "GSM748188", "GSM748189", "GSM748191", "GSM748192", "GSM748193", "GSM748195", "GSM748196", "GSM748197", "GSM748198", "GSM748199", "GSM748200", "GSM748201", "GSM748202", "GSM748203", "GSM748206", "GSM748207", "GSM748209", "GSM748210", "GSM748211", "GSM748212", "GSM748213", "GSM748214", "GSM748215", "GSM748216", "GSM748217", "GSM748218", "GSM748219", "GSM748220", "GSM748221", "GSM748222", "GSM748223", "GSM748224", "GSM748225", "GSM748226", "GSM748227", "GSM748228", "GSM748229", "GSM748232", "GSM748233", "GSM748234", "GSM748235", "GSM748239", "GSM748240", "GSM748242", "GSM748243", "GSM748244", "GSM748245", "GSM748246", "GSM748247", "GSM748248", "GSM748249", "GSM748250", "GSM748251", "GSM748252", "GSM748253", "GSM748254", "GSM748255", "GSM748256", "GSM748257", "GSM748258", "GSM748259", "GSM748260", "GSM748261", "GSM748262", "GSM748263", "GSM748264", "GSM748265", "GSM748266", "GSM748267", "GSM748268", "GSM748269", "GSM748270", "GSM748271", "GSM748272", "GSM748273", "GSM748274", "GSM748275", "GSM748276", "GSM748277", "GSM748278", "GSM748279", "GSM748280", "GSM748281", "GSM748282", "GSM748283", "GSM748284", "GSM748285", "GSM748286", "GSM748287", "GSM748288", "GSM748291", "GSM748292", "GSM748294", "GSM748295", "GSM748296", "GSM748297", "GSM748298", "GSM748299", "GSM748300", "GSM748301", "GSM748302", "GSM748303", "GSM748304", "GSM748305", "GSM748306", "GSM748307", "GSM748308", "GSM748309", "GSM748310", "GSM748311", "GSM748312", "GSM748313", "GSM748314", "GSM748315", "GSM748316", "GSM748317", "GSM748318", "GSM748319", "GSM748320", "GSM748321", "GSM748323", "GSM748324", "GSM748325", "GSM748326", "GSM748327", "GSM748328", "GSM748329", "GSM748330", "GSM748331", "GSM748332", "GSM748333", "GSM748334", "GSM748335", "GSM748336", "GSM748337", "GSM748338", "GSM748339", "GSM748341", "GSM748342", "GSM748343", "GSM748344", "GSM748345", "GSM748346", "GSM748347", "GSM748348", "GSM748349", "GSM748350", "GSM748351", "GSM748352", "GSM748353", "GSM748354", "GSM748355", "GSM748356", "GSM748357", "GSM748358", "GSM748359", "GSM748360", "GSM748361", "GSM748362", "GSM748363", "GSM748364", "GSM748365", "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}}, {"id": "data:geo:GSE31210", "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=GSE31210", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE31210", "version": null, "note": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM773540", "GSM773541", "GSM773542", "GSM773543", "GSM773544", "GSM773545", "GSM773546", "GSM773547", "GSM773548", "GSM773549", "GSM773550", "GSM773551", "GSM773552", "GSM773553", "GSM773554", "GSM773555", "GSM773556", "GSM773557", "GSM773558", "GSM773559", "GSM773560", "GSM773561", "GSM773562", "GSM773563", "GSM773564", "GSM773565", "GSM773566", "GSM773567", "GSM773568", "GSM773569", "GSM773570", "GSM773571", "GSM773572", "GSM773573", "GSM773574", "GSM773575", "GSM773576", "GSM773577", "GSM773578", "GSM773579", "GSM773580", "GSM773581", "GSM773582", "GSM773583", "GSM773584", "GSM773585", "GSM773586", "GSM773587", "GSM773588", "GSM773589", "GSM773590", "GSM773591", "GSM773592", "GSM773593", "GSM773594", "GSM773595", "GSM773596", "GSM773597", "GSM773598", "GSM773599", "GSM773600", "GSM773601", "GSM773602", "GSM773603", "GSM773604", "GSM773605", "GSM773606", "GSM773607", "GSM773608", "GSM773609", "GSM773610", "GSM773611", "GSM773612", "GSM773613", "GSM773614", "GSM773615", "GSM773616", "GSM773617", "GSM773618", "GSM773619", "GSM773620", "GSM773621", "GSM773622", "GSM773623", "GSM773624", "GSM773625", "GSM773626", "GSM773627", "GSM773628", "GSM773629", "GSM773630", "GSM773631", "GSM773632", "GSM773633", "GSM773634", "GSM773635", "GSM773636", "GSM773637", "GSM773638", "GSM773639", "GSM773640", "GSM773641", "GSM773642", "GSM773643", "GSM773644", "GSM773645", "GSM773646", "GSM773647", "GSM773648", "GSM773649", "GSM773650", "GSM773651", "GSM773652", "GSM773653", "GSM773654", "GSM773655", "GSM773656", "GSM773657", "GSM773658", "GSM773659", "GSM773660", "GSM773661", "GSM773662", "GSM773663", "GSM773664", "GSM773665", "GSM773666", "GSM773667", "GSM773668", "GSM773669", "GSM773670", "GSM773671", "GSM773672", "GSM773673", "GSM773674", "GSM773675", "GSM773676", "GSM773677", "GSM773678", "GSM773679", "GSM773680", "GSM773681", "GSM773682", "GSM773683", "GSM773684", "GSM773685", "GSM773686", "GSM773687", "GSM773688", "GSM773689", "GSM773690", "GSM773691", "GSM773692", "GSM773693", "GSM773694", "GSM773695", "GSM773696", "GSM773697", "GSM773698", "GSM773699", "GSM773700", "GSM773701", "GSM773702", "GSM773703", "GSM773704", "GSM773705", "GSM773706", "GSM773707", "GSM773708", "GSM773709", "GSM773710", "GSM773711", "GSM773712", "GSM773713", "GSM773714", "GSM773715", "GSM773716", "GSM773717", "GSM773718", "GSM773719", "GSM773720", "GSM773721", "GSM773722", "GSM773723", "GSM773724", "GSM773725", "GSM773726", "GSM773727", "GSM773728", "GSM773729", "GSM773730", "GSM773731", "GSM773732", "GSM773733", "GSM773734", "GSM773735", "GSM773736", "GSM773737", "GSM773738", "GSM773739", "GSM773740", "GSM773741", "GSM773742", "GSM773743", "GSM773744", "GSM773745", "GSM773746", "GSM773747", "GSM773748", "GSM773749", "GSM773750", "GSM773751", "GSM773752", "GSM773753", "GSM773754", "GSM773755", "GSM773756", "GSM773757", "GSM773758", "GSM773759", "GSM773760", "GSM773761", "GSM773762", "GSM773763", "GSM773764", "GSM773765", "GSM773766", "GSM773767", "GSM773768", "GSM773769", "GSM773770", "GSM773771", "GSM773772", "GSM773773", "GSM773774", "GSM773775", "GSM773776", "GSM773777", "GSM773778", "GSM773779", "GSM773780", "GSM773781", "GSM773782", "GSM773783", "GSM773784", "GSM773785"], "sample_count": 246, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression data for pathological stage I-II lung adenocarcinomas", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE68465", "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=GSE68465", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE68465", "version": null, "note": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1672281", "GSM1672282", "GSM1672283", "GSM1672284", "GSM1672285", "GSM1672286", "GSM1672287", "GSM1672288", "GSM1672289", "GSM1672290", "GSM1672291", "GSM1672292", "GSM1672293", "GSM1672294", "GSM1672295", "GSM1672296", "GSM1672297", "GSM1672298", "GSM1672299", "GSM1672300", "GSM1672301", "GSM1672302", "GSM1672303", "GSM1672304", "GSM1672305", "GSM1672306", "GSM1672307", "GSM1672308", "GSM1672309", "GSM1672310", "GSM1672311", "GSM1672312", "GSM1672313", "GSM1672314", "GSM1672315", "GSM1672316", "GSM1672317", "GSM1672318", "GSM1672319", "GSM1672320", "GSM1672321", "GSM1672322", "GSM1672323", "GSM1672324", "GSM1672325", "GSM1672326", "GSM1672327", "GSM1672328", "GSM1672329", "GSM1672330", "GSM1672331", "GSM1672332", "GSM1672333", "GSM1672334", "GSM1672335", "GSM1672336", "GSM1672337", "GSM1672338", "GSM1672339", "GSM1672340", "GSM1672341", "GSM1672342", "GSM1672343", "GSM1672344", "GSM1672345", "GSM1672346", "GSM1672347", "GSM1672348", "GSM1672349", "GSM1672350", "GSM1672351", "GSM1672352", "GSM1672353", "GSM1672354", "GSM1672355", "GSM1672356", "GSM1672357", "GSM1672358", "GSM1672359", "GSM1672360", "GSM1672361", "GSM1672362", "GSM1672363", "GSM1672364", "GSM1672365", "GSM1672366", "GSM1672367", "GSM1672368", "GSM1672369", "GSM1672370", "GSM1672371", "GSM1672372", "GSM1672373", "GSM1672374", "GSM1672375", "GSM1672376", "GSM1672377", "GSM1672378", "GSM1672379", "GSM1672380", "GSM1672381", "GSM1672382", "GSM1672383", "GSM1672384", "GSM1672385", "GSM1672386", "GSM1672387", "GSM1672388", "GSM1672389", "GSM1672390", "GSM1672391", "GSM1672392", "GSM1672393", "GSM1672394", "GSM1672395", "GSM1672396", "GSM1672397", "GSM1672398", "GSM1672399", "GSM1672400", "GSM1672401", "GSM1672402", "GSM1672403", "GSM1672404", "GSM1672405", "GSM1672406", "GSM1672407", "GSM1672408", "GSM1672409", "GSM1672410", "GSM1672411", "GSM1672412", "GSM1672413", "GSM1672414", "GSM1672415", "GSM1672416", "GSM1672417", "GSM1672418", "GSM1672419", "GSM1672420", "GSM1672421", "GSM1672422", "GSM1672423", "GSM1672424", "GSM1672425", "GSM1672426", "GSM1672427", "GSM1672428", "GSM1672429", "GSM1672430", "GSM1672431", "GSM1672432", "GSM1672433", "GSM1672434", "GSM1672435", "GSM1672436", "GSM1672437", "GSM1672438", "GSM1672439", "GSM1672440", "GSM1672441", "GSM1672442", "GSM1672443", "GSM1672444", "GSM1672445", "GSM1672446", "GSM1672447", "GSM1672448", "GSM1672449", "GSM1672450", "GSM1672451", "GSM1672452", "GSM1672453", "GSM1672454", "GSM1672455", "GSM1672456", "GSM1672457", "GSM1672458", "GSM1672459", "GSM1672460", "GSM1672461", "GSM1672462", "GSM1672463", "GSM1672464", "GSM1672465", "GSM1672466", "GSM1672467", "GSM1672468", "GSM1672469", "GSM1672470", "GSM1672471", "GSM1672472", "GSM1672473", "GSM1672474", "GSM1672475", "GSM1672476", "GSM1672477", "GSM1672478", "GSM1672479", "GSM1672480", "GSM1672481", "GSM1672482", "GSM1672483", "GSM1672484", "GSM1672485", "GSM1672486", "GSM1672487", "GSM1672488", "GSM1672489", "GSM1672490", "GSM1672491", "GSM1672492", "GSM1672493", "GSM1672494", "GSM1672495", "GSM1672496", "GSM1672497", "GSM1672498", "GSM1672499", "GSM1672500", "GSM1672501", "GSM1672502", "GSM1672503", "GSM1672504", "GSM1672505", "GSM1672506", "GSM1672507", "GSM1672508", "GSM1672509", "GSM1672510", "GSM1672511", "GSM1672512", "GSM1672513", "GSM1672514", "GSM1672515", "GSM1672516", "GSM1672517", "GSM1672518", "GSM1672519", "GSM1672520", "GSM1672521", "GSM1672522", "GSM1672523", "GSM1672524", "GSM1672525", "GSM1672526", "GSM1672527", "GSM1672528", "GSM1672529", "GSM1672530", "GSM1672531", "GSM1672532", "GSM1672533", "GSM1672534", "GSM1672535", "GSM1672536", "GSM1672537", "GSM1672538", "GSM1672539", "GSM1672540", "GSM1672541", "GSM1672542", "GSM1672543", "GSM1672544", "GSM1672545", "GSM1672546", "GSM1672547", "GSM1672548", "GSM1672549", "GSM1672550", "GSM1672551", "GSM1672552", "GSM1672553", "GSM1672554", "GSM1672555", "GSM1672556", "GSM1672557", "GSM1672558", "GSM1672559", "GSM1672560", "GSM1672561", "GSM1672562", "GSM1672563", "GSM1672564", "GSM1672565", "GSM1672566", "GSM1672567", "GSM1672568", "GSM1672569", "GSM1672570", "GSM1672571", "GSM1672572", "GSM1672573", "GSM1672574", "GSM1672575", "GSM1672576", "GSM1672577", "GSM1672578", "GSM1672579", "GSM1672580", "GSM1672581", "GSM1672582", "GSM1672583", "GSM1672584", "GSM1672585", "GSM1672586", "GSM1672587", "GSM1672588", "GSM1672589", "GSM1672590", "GSM1672591", "GSM1672592", "GSM1672593", "GSM1672594", "GSM1672595", "GSM1672596", "GSM1672597", "GSM1672598", "GSM1672599", "GSM1672600", "GSM1672601", "GSM1672602", "GSM1672603", "GSM1672604", "GSM1672605", "GSM1672606", "GSM1672607", "GSM1672608", "GSM1672609", "GSM1672610", "GSM1672611", "GSM1672612", "GSM1672613", "GSM1672614", "GSM1672615", "GSM1672616", "GSM1672617", "GSM1672618", "GSM1672619", "GSM1672620", "GSM1672621", "GSM1672622", "GSM1672623", "GSM1672624", "GSM1672625", "GSM1672626", "GSM1672627", "GSM1672628", "GSM1672629", "GSM1672630", "GSM1672631", "GSM1672632", "GSM1672633", "GSM1672634", "GSM1672635", "GSM1672636", "GSM1672637", "GSM1672638", "GSM1672639", "GSM1672640", "GSM1672641", "GSM1672642", "GSM1672643", "GSM1672644", "GSM1672645", "GSM1672646", "GSM1672647", "GSM1672648", "GSM1672649", "GSM1672650", "GSM1672651", "GSM1672652", "GSM1672653", "GSM1672654", "GSM1672655", "GSM1672656", "GSM1672657", "GSM1672658", "GSM1672659", "GSM1672660", "GSM1672661", "GSM1672662", "GSM1672663", "GSM1672664", "GSM1672665", "GSM1672666", "GSM1672667", "GSM1672668", "GSM1672669", "GSM1672670", "GSM1672671", "GSM1672672", "GSM1672673", "GSM1672674", "GSM1672675", "GSM1672676", "GSM1672677", "GSM1672678", "GSM1672679", "GSM1672680", "GSM1672681", "GSM1672682", "GSM1672683", "GSM1672684", "GSM1672685", "GSM1672686", "GSM1672687", "GSM1672688", "GSM1672689", "GSM1672690", "GSM1672691", "GSM1672692", "GSM1672693", "GSM1672694", "GSM1672695", "GSM1672696", "GSM1672697", "GSM1672698", "GSM1672699", "GSM1672700", "GSM1672701", "GSM1672702", "GSM1672703", "GSM1672704", "GSM1672705", "GSM1672706", "GSM1672707", "GSM1672708", "GSM1672709", "GSM1672710", "GSM1672711", "GSM1672712", "GSM1672713", "GSM1672714", "GSM1672715", "GSM1672716", "GSM1672717", "GSM1672718", "GSM1672719", "GSM1672720", "GSM1672721", "GSM1672722", "GSM1672723", "GSM1672724", "GSM1672725", "GSM1672726", "GSM1672727", "GSM1672728", "GSM1672729", "GSM1672730", "GSM1672731", "GSM1672732", "GSM1672733", "GSM1672734", "GSM1672735", "GSM1672736", "GSM1672737", "GSM1672738", "GSM1672739", "GSM1672740", "GSM1672741", "GSM1672742"], "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}}, {"id": "data:geo:GSE72094", "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=GSE72094", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE72094", "version": null, "note": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1854797", "GSM1854798", "GSM1854799", "GSM1854800", "GSM1854801", "GSM1854802", "GSM1854803", "GSM1854804", "GSM1854805", "GSM1854806", "GSM1854807", "GSM1854808", "GSM1854809", "GSM1854810", "GSM1854811", "GSM1854812", "GSM1854813", "GSM1854814", "GSM1854815", "GSM1854816", "GSM1854817", "GSM1854818", "GSM1854819", "GSM1854820", "GSM1854821", "GSM1854822", "GSM1854823", "GSM1854824", "GSM1854825", "GSM1854826", "GSM1854827", "GSM1854828", "GSM1854829", "GSM1854830", "GSM1854831", "GSM1854832", "GSM1854833", "GSM1854834", "GSM1854835", "GSM1854836", "GSM1854837", "GSM1854838", "GSM1854839", "GSM1854840", "GSM1854841", "GSM1854842", "GSM1854843", "GSM1854844", "GSM1854845", "GSM1854846", "GSM1854847", "GSM1854848", "GSM1854849", "GSM1854850", "GSM1854851", "GSM1854852", "GSM1854853", "GSM1854854", "GSM1854855", "GSM1854856", "GSM1854857", "GSM1854858", "GSM1854859", "GSM1854860", "GSM1854861", "GSM1854862", "GSM1854863", "GSM1854864", "GSM1854865", "GSM1854866", "GSM1854867", "GSM1854868", "GSM1854869", "GSM1854870", "GSM1854871", "GSM1854872", "GSM1854873", "GSM1854874", "GSM1854875", "GSM1854876", "GSM1854877", "GSM1854878", "GSM1854879", "GSM1854880", "GSM1854881", "GSM1854882", "GSM1854883", "GSM1854884", "GSM1854885", "GSM1854886", "GSM1854887", "GSM1854888", "GSM1854889", "GSM1854890", "GSM1854891", "GSM1854892", "GSM1854893", "GSM1854894", "GSM1854895", "GSM1854896", "GSM1854897", "GSM1854898", "GSM1854899", "GSM1854900", "GSM1854901", "GSM1854902", "GSM1854903", "GSM1854904", "GSM1854905", "GSM1854906", "GSM1854907", "GSM1854908", "GSM1854909", "GSM1854910", "GSM1854911", "GSM1854912", "GSM1854913", "GSM1854914", "GSM1854915", "GSM1854916", "GSM1854917", "GSM1854918", "GSM1854919", "GSM1854920", "GSM1854921", "GSM1854922", "GSM1854923", "GSM1854924", "GSM1854925", "GSM1854926", "GSM1854927", "GSM1854928", "GSM1854929", "GSM1854930", "GSM1854931", "GSM1854932", "GSM1854933", "GSM1854934", "GSM1854935", "GSM1854936", "GSM1854937", "GSM1854938", "GSM1854939", "GSM1854940", "GSM1854941", "GSM1854942", "GSM1854943", "GSM1854944", "GSM1854945", "GSM1854946", "GSM1854947", "GSM1854948", "GSM1854949", "GSM1854950", "GSM1854951", "GSM1854952", "GSM1854953", "GSM1854954", "GSM1854955", "GSM1854956", "GSM1854957", "GSM1854958", "GSM1854959", "GSM1854960", "GSM1854961", "GSM1854962", "GSM1854963", "GSM1854964", "GSM1854965", "GSM1854966", "GSM1854967", "GSM1854968", "GSM1854969", "GSM1854970", "GSM1854971", "GSM1854972", "GSM1854973", "GSM1854974", "GSM1854975", "GSM1854976", "GSM1854977", "GSM1854978", "GSM1854979", "GSM1854980", "GSM1854981", "GSM1854982", "GSM1854983", "GSM1854984", "GSM1854985", "GSM1854986", "GSM1854987", "GSM1854988", "GSM1854989", "GSM1854990", "GSM1854991", "GSM1854992", "GSM1854993", "GSM1854994", "GSM1854995", "GSM1854996", "GSM1854997", "GSM1854998", "GSM1854999", "GSM1855000", "GSM1855001", "GSM1855002", "GSM1855003", "GSM1855004", "GSM1855005", "GSM1855006", "GSM1855007", "GSM1855008", "GSM1855009", "GSM1855010", "GSM1855011", "GSM1855012", "GSM1855013", "GSM1855014", "GSM1855015", "GSM1855016", "GSM1855017", "GSM1855018", "GSM1855019", "GSM1855020", "GSM1855021", "GSM1855022", "GSM1855023", "GSM1855024", "GSM1855025", "GSM1855026", "GSM1855027", "GSM1855028", "GSM1855029", "GSM1855030", "GSM1855031", "GSM1855032", "GSM1855033", "GSM1855034", "GSM1855035", "GSM1855036", "GSM1855037", "GSM1855038", "GSM1855039", "GSM1855040", "GSM1855041", "GSM1855042", "GSM1855043", "GSM1855044", "GSM1855045", "GSM1855046", "GSM1855047", "GSM1855048", "GSM1855049", "GSM1855050", "GSM1855051", "GSM1855052", "GSM1855053", "GSM1855054", "GSM1855055", "GSM1855056", "GSM1855057", "GSM1855058", "GSM1855059", "GSM1855060", "GSM1855061", "GSM1855062", "GSM1855063", "GSM1855064", "GSM1855065", "GSM1855066", "GSM1855067", "GSM1855068", "GSM1855069", "GSM1855070", "GSM1855071", "GSM1855072", "GSM1855073", "GSM1855074", "GSM1855075", "GSM1855076", "GSM1855077", "GSM1855078", "GSM1855079", "GSM1855080", "GSM1855081", "GSM1855082", "GSM1855083", "GSM1855084", "GSM1855085", "GSM1855086", "GSM1855087", "GSM1855088", "GSM1855089", "GSM1855090", "GSM1855091", "GSM1855092", "GSM1855093", "GSM1855094", "GSM1855095", "GSM1855096", "GSM1855097", "GSM1855098", "GSM1855099", "GSM1855100", "GSM1855101", "GSM1855102", "GSM1855103", "GSM1855104", "GSM1855105", "GSM1855106", "GSM1855107", "GSM1855108", "GSM1855109", "GSM1855110", "GSM1855111", "GSM1855112", "GSM1855113", "GSM1855114", "GSM1855115", "GSM1855116", "GSM1855117", "GSM1855118", "GSM1855119", "GSM1855120", "GSM1855121", "GSM1855122", "GSM1855123", "GSM1855124", "GSM1855125", "GSM1855126", "GSM1855127", "GSM1855128", "GSM1855129", "GSM1855130", "GSM1855131", "GSM1855132", "GSM1855133", "GSM1855134", "GSM1855135", "GSM1855136", "GSM1855137", "GSM1855138", "GSM1855139", "GSM1855140", "GSM1855141", "GSM1855142", "GSM1855143", "GSM1855144", "GSM1855145", "GSM1855146", "GSM1855147", "GSM1855148", "GSM1855149", "GSM1855150", "GSM1855151", "GSM1855152", "GSM1855153", "GSM1855154", "GSM1855155", "GSM1855156", "GSM1855157", "GSM1855158", "GSM1855159", "GSM1855160", "GSM1855161", "GSM1855162", "GSM1855163", "GSM1855164", "GSM1855165", "GSM1855166", "GSM1855167", "GSM1855168", "GSM1855169", "GSM1855170", "GSM1855171", "GSM1855172", "GSM1855173", "GSM1855174", "GSM1855175", "GSM1855176", "GSM1855177", "GSM1855178", "GSM1855179", "GSM1855180", "GSM1855181", "GSM1855182", "GSM1855183", "GSM1855184", "GSM1855185", "GSM1855186", "GSM1855187", "GSM1855188", "GSM1855189", "GSM1855190", "GSM1855191", "GSM1855192", "GSM1855193", "GSM1855194", "GSM1855195", "GSM1855196", "GSM1855197", "GSM1855198", "GSM1855199", "GSM1855200", "GSM1855201", "GSM1855202", "GSM1855203", "GSM1855204", "GSM1855205", "GSM1855206", "GSM1855207", "GSM1855208", "GSM1855209", "GSM1855210", "GSM1855211", "GSM1855212", "GSM1855213", "GSM1855214", "GSM1855215", "GSM1855216", "GSM1855217", "GSM1855218", "GSM1855219", "GSM1855220", "GSM1855221", "GSM1855222", "GSM1855223", "GSM1855224", "GSM1855225", "GSM1855226", "GSM1855227", "GSM1855228", "GSM1855229", "GSM1855230", "GSM1855231", "GSM1855232", "GSM1855233", "GSM1855234", "GSM1855235", "GSM1855236", "GSM1855237", "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}}], "gaps": ["asset:data:geo:GSE30219 not downloaded", "asset:data:geo:GSE30219 licence not read", "asset:data:geo:GSE31210 not downloaded", "asset:data:geo:GSE31210 licence not read", "asset:data:geo:GSE68465 not downloaded", "asset:data:geo:GSE68465 licence not read", "asset:data:geo:GSE72094 not downloaded", "asset:data:geo:GSE72094 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-2", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}, {"id": "method-3", "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": 0.8, "band": "high", "quote": "COX regression"}}, {"id": "method-4", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "log-rank"}}, {"id": "method-5", "family": "correlation_analysis", "specific": "spearman", "label": "Correlation analysis", "dsl_operations": ["spearman_rho"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Spearman correlation"}}, {"id": "method-6", "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"}}, {"id": "method-7", "family": null, "specific": null, "label": "CoxBoost RSF", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The CoxBoost RSF algorithm was selected for our risk score model due to its strengths in survival analysis."}}], "targets": [], "gaps": ["method.reader_named_unmapped", "method.group_comparison_wilcoxon"]}, "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": false, "required_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon."}, "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": ["GSE30219", "GSE31210", "GSE72094", "GSE68465"], "resolved_accessions": ["GSE30219", "GSE31210", "GSE72094", "GSE68465"], "statements": ["The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author."], "basis": "The paper names GSE30219, GSE31210, GSE72094, GSE68465 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:39269650", "data:geo:GSE30219"], "steps": []}, "must_build": {"dsl_operations": [{"operation": "group_comparison_wilcoxon", "unlocks_papers": null, "priority": null}], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE30219"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:31:20Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 12222, "completion_tokens": 1953, "cached_tokens": 256}}, "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:39269650", "type": "paper", "label": "pmid:39269650"}, {"id": "source:pmid:39269650", "type": "manuscript", "label": "PMID 39269650 full text"}, {"id": "data:geo:GSE30219", "type": "dataset", "label": "GEO GSE30219"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39269650", "type": "paper", "label": "pmid:39269650"}, {"id": "source:pmid:39269650", "type": "manuscript", "label": "PMID 39269650 full text"}, {"id": "data:geo:GSE30219", "type": "dataset", "label": "GEO GSE30219"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39269650", "type": "extraction", "used": ["source:pmid:39269650"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE30219", "type": "accession_resolution", "used": ["data:geo:GSE30219"], "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:39269650", "parent_hash": "sha256:2527399102a8b9fc6dba926d24e620bf6cb821364a239019bab44570c7770144", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE30219 licence not read", "asset:data:geo:GSE30219 not downloaded", "asset:data:geo:GSE31210 licence not read", "asset:data:geo:GSE31210 not downloaded", "asset:data:geo:GSE68465 licence not read", "asset:data:geo:GSE68465 not downloaded", "asset:data:geo:GSE72094 licence not read", "asset:data:geo:GSE72094 not downloaded", "execution.not_run", "method.group_comparison_wilcoxon", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:run_analysis blocked on method:group_comparison_wilcoxon"], "assays": [{"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["varies across LUAD cell lines (DV-90, PC-9, A549) compared to normal bronchial epithelial cel"], "order_basis": "paper_text_order:717", "id": "assay:1"}, {"role": "data_generation", "definition_id": "methylation_array", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.85, "evidence": ["IBERSORT, QUANTISEQ, MCP-counter, xCell, and EPIC.Heatmap illustrating the expression differen"], "order_basis": "paper_text_order:6497", "id": "assay:2"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["Wilcoxon"], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}