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

pmid:36874011

Prognosis and personalized treatment prediction in lung adenocarcinoma: An in silico and in vitro strategy adopting cuproptosis related lncRNA towards precision oncology.

Chao Ma · Feng Li · Zhanfeng He · Song Zhao · Yang Yang · Zhuoyu Gu

Frontiers in pharmacology · 2023 doi:10.3389/fphar.2023.1113808

Paper

complete

Experiment

complete

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:36874011
kind
science-record
content_hash
sha256:96cc6eabbc6743485c37e807bf8896599c85fcf64743c1cc013c989ec38556d0
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:01:30Z
updated_at
2026-11-01T22:08:59Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Prognosis and personalized treatment prediction in lung adenocarcinoma: An in silico and in vitro strategy adopting cuproptosis related lncRNA towards precision oncology.
doi
10.3389/fphar.2023.1113808
pmid
36874011
authors array · 6 items
[0]
Chao Ma
[1]
Feng Li
[2]
Zhanfeng He
[3]
Song Zhao
[4]
Yang Yang
[5]
Zhuoyu Gu
journal
Frontiers in pharmacology
year
2023
abstract
Background: There is a rapid increase in lung adenocarcinomas (LUAD), and studies suggest associations between cuproptosis and the occurrence of various types of tumors. However, it remains unclear whether cuproptosis plays a role in LUAD prognosis. Methods: Dataset of the TCGA-LUAD was treated as training cohort, while validation cohort consisted of the merged datasets of the GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081. Ten studied cuproptosis-related genes (CRG) were used to generated CRG clusters and CRG cluster-related differential expressed gene (CRG-DEG) clusters. The differently expressed lncRNA that with prognosis ability between the CRG-DEG clusters were put into a LASSO regression for cuproptosis-related lncRNA signature (CRLncSig). Kaplan-Meier estimator, Cox model, receiver operating characteristic (ROC), time-dependent AUC (tAUC), principal component analysis (PCA), and nomogram predictor were further deployed to confirm the model's accuracy. We examined the model's connections with other forms of regulated cell death, including apoptosis, necroptosis, pyroptosis, and ferroptosis. The immunotherapy ability of the signature was demonstrated by applying eight mainstream immunoinformatic algorithms, TMB, TIDE, and immune checkpoints. We evaluated the potential drugs for high risk CRLncSig LUADs. Real-time PCR in human LUAD tissues were performed to verify the CRLncSig expression pattern, and the signature's pan-cancer's ability was also assessed. Results: A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort. Each of the signature genes was confirmed differentially expressed in the real world by real-time PCR. The CRLncSig correlated with 2,469/3,681 (67.07%) apoptosis-related genes, 13/20 (65.00%) necroptosis-related genes, 35/50 (70.00%) pyroptosis-related genes, and 238/380 (62.63%) ferroptosis-related genes. Immunotherapy analysis suggested that CRLncSig correlated with immune status, and checkpoints, KIR2DL3, IL10, IL2, CD40LG, SELP, BTLA, and CD28, were linked closely to our signature and were potentially suitable for LUAD immunotherapy targets. For those high-risk patients, we found three agents, gemcitabine, daunorubicin, and nobiletin. Finally, we found some of the CRLncSig lncRNAs potentially play a vital role in some types of cancer and need more attention in further studies. Conclusion: The results of this study suggest our cuproptosis-related CRLncSig can help to determine the outcome of LUAD and the effectiveness of immunotherapy, as well as help to better select targets and therapeutic agents.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
In order to prevent overfitting, we performed the least absolute shrinkage and selection operator (LASSO) using the R package “glmnet” on the prognostic DELs.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36874011
locator
sections[5] "Constructions of CRG-DEG clusters and a cuproptosis-regulated lncRNA signature (CRLncSig)" paragraph 2
quote
In order to prevent overfitting, we performed the least absolute shrinkage and selection operator (LASSO) using the R package “glmnet” on the prognostic DELs.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36874011
locator
sections[29] "Data availability statement" paragraph 2
quote
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36874011
locator
sections[0] "Abstract" paragraph 3
quote
A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort.
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:36874011
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:GSE29013
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:GSE29013
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 · 6 items
[0] object · 15 fields
id
source:pmid:36874011
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fphar.2023.1113808
sha256
sha256:2d53908c069182f28f54f6e446361685fc8c5313dda3bad0a618f8e9aa101eae
bytes
99239
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fphar.2023.1113808
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
PMC9975170
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE29013
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=GSE29013
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE29013
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
access_statement_kind
data_availability_statement
sample_accessions array · 55 items
[0]
GSM718769
[1]
GSM718770
[2]
GSM718771
[3]
GSM718772
[4]
GSM718773
[5]
GSM718774
[6]
GSM718775
[7]
GSM718776
[8]
GSM718777
[9]
GSM718778
[10]
GSM718779
[11]
GSM718780
[12]
GSM718781
[13]
GSM718782
[14]
GSM718783
[15]
GSM718784
[16]
GSM718785
[17]
GSM718786
[18]
GSM718787
[19]
GSM718788
[20]
GSM718789
[21]
GSM718790
[22]
GSM718791
[23]
GSM718792
[24]
GSM718793
[25]
GSM718794
[26]
GSM718795
[27]
GSM718796
[28]
GSM718797
[29]
GSM718798
[30]
GSM718799
[31]
GSM718800
[32]
GSM718801
[33]
GSM718802
[34]
GSM718803
[35]
GSM718804
[36]
GSM718805
[37]
GSM718806
[38]
GSM718807
[39]
GSM718808
[40]
GSM718809
[41]
GSM718810
[42]
GSM718811
[43]
GSM718812
[44]
GSM718813
[45]
GSM718814
[46]
GSM718815
[47]
GSM718816
[48]
GSM718817
[49]
GSM718818
[50]
GSM718819
[51]
GSM718820
[52]
GSM718821
[53]
GSM718822
[54]
GSM718823
sample_count
55
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Robust Gene Expression Signature from Formalin-Fixed Paraffin-Embedded Samples Predicts Prognosis of Non-Small-Cell Lung Cancer Patients
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] 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
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
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
[3] 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
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
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
[4] object · 15 fields
id
data:geo:GSE37745
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37745
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
access_statement_kind
data_availability_statement
sample_accessions array · 196 items
[0]
GSM1019138
[1]
GSM1019139
[2]
GSM1019140
[3]
GSM1019141
[4]
GSM1019142
[5]
GSM1019143
[6]
GSM1019144
[7]
GSM1019145
[8]
GSM1019146
[9]
GSM1019147
[10]
GSM1019148
[11]
GSM1019149
[12]
GSM1019150
[13]
GSM1019151
[14]
GSM1019152
[15]
GSM1019153
[16]
GSM1019154
[17]
GSM1019155
[18]
GSM1019156
[19]
GSM1019157
[20]
GSM1019158
[21]
GSM1019159
[22]
GSM1019160
[23]
GSM1019161
[24]
GSM1019162
[25]
GSM1019163
[26]
GSM1019164
[27]
GSM1019165
[28]
GSM1019166
[29]
GSM1019167
[30]
GSM1019168
[31]
GSM1019169
[32]
GSM1019170
[33]
GSM1019171
[34]
GSM1019172
[35]
GSM1019173
[36]
GSM1019174
[37]
GSM1019175
[38]
GSM1019176
[39]
GSM1019177
[40]
GSM1019178
[41]
GSM1019179
[42]
GSM1019180
[43]
GSM1019181
[44]
GSM1019182
[45]
GSM1019183
[46]
GSM1019184
[47]
GSM1019185
[48]
GSM1019186
[49]
GSM1019187
[50]
GSM1019188
[51]
GSM1019189
[52]
GSM1019190
[53]
GSM1019191
[54]
GSM1019192
[55]
GSM1019193
[56]
GSM1019194
[57]
GSM1019195
[58]
GSM1019196
[59]
GSM1019197
[60]
GSM1019198
[61]
GSM1019199
[62]
GSM1019200
[63]
GSM1019201
[64]
GSM1019202
[65]
GSM1019203
[66]
GSM1019204
[67]
GSM1019205
[68]
GSM1019206
[69]
GSM1019207
[70]
GSM1019208
[71]
GSM1019209
[72]
GSM1019210
[73]
GSM1019211
[74]
GSM1019212
[75]
GSM1019213
[76]
GSM1019214
[77]
GSM1019215
[78]
GSM1019216
[79]
GSM1019217
[80]
GSM1019218
[81]
GSM1019219
[82]
GSM1019220
[83]
GSM1019221
[84]
GSM1019222
[85]
GSM1019223
[86]
GSM1019224
[87]
GSM1019225
[88]
GSM1019226
[89]
GSM1019227
[90]
GSM1019228
[91]
GSM1019229
[92]
GSM1019230
[93]
GSM1019231
[94]
GSM1019232
[95]
GSM1019233
[96]
GSM1019234
[97]
GSM1019235
[98]
GSM1019236
[99]
GSM1019237
[100]
GSM1019238
[101]
GSM1019239
[102]
GSM1019240
[103]
GSM1019241
[104]
GSM1019242
[105]
GSM1019243
[106]
GSM1019244
[107]
GSM1019245
[108]
GSM1019246
[109]
GSM1019247
[110]
GSM1019248
[111]
GSM1019249
[112]
GSM1019250
[113]
GSM1019251
[114]
GSM1019252
[115]
GSM1019253
[116]
GSM1019254
[117]
GSM1019255
[118]
GSM1019256
[119]
GSM1019257
[120]
GSM1019258
[121]
GSM1019259
[122]
GSM1019260
[123]
GSM1019261
[124]
GSM1019262
[125]
GSM1019263
[126]
GSM1019264
[127]
GSM1019265
[128]
GSM1019266
[129]
GSM1019267
[130]
GSM1019268
[131]
GSM1019269
[132]
GSM1019270
[133]
GSM1019271
[134]
GSM1019272
[135]
GSM1019273
[136]
GSM1019274
[137]
GSM1019275
[138]
GSM1019276
[139]
GSM1019277
[140]
GSM1019278
[141]
GSM1019279
[142]
GSM1019280
[143]
GSM1019281
[144]
GSM1019282
[145]
GSM1019283
[146]
GSM1019284
[147]
GSM1019285
[148]
GSM1019286
[149]
GSM1019287
[150]
GSM1019288
[151]
GSM1019289
[152]
GSM1019290
[153]
GSM1019291
[154]
GSM1019292
[155]
GSM1019293
[156]
GSM1019294
[157]
GSM1019295
[158]
GSM1019296
[159]
GSM1019297
[160]
GSM1019298
[161]
GSM1019299
[162]
GSM1019300
[163]
GSM1019301
[164]
GSM1019302
[165]
GSM1019303
[166]
GSM1019304
[167]
GSM1019305
[168]
GSM1019306
[169]
GSM1019307
[170]
GSM1019308
[171]
GSM1019309
[172]
GSM1019310
[173]
GSM1019311
[174]
GSM1019312
[175]
GSM1019313
[176]
GSM1019314
[177]
GSM1019315
[178]
GSM1019316
[179]
GSM1019317
[180]
GSM1019318
[181]
GSM1019319
[182]
GSM1019320
[183]
GSM1019321
[184]
GSM1019322
[185]
GSM1019323
[186]
GSM1019324
[187]
GSM1019325
[188]
GSM1019326
[189]
GSM1019327
[190]
GSM1019328
[191]
GSM1019329
[192]
GSM1019330
[193]
GSM1019331
[194]
GSM1019332
[195]
GSM1019333
sample_count
196
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE50081
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE50081
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
access_statement_kind
data_availability_statement
sample_accessions array · 181 items
[0]
GSM1213669
[1]
GSM1213670
[2]
GSM1213671
[3]
GSM1213672
[4]
GSM1213673
[5]
GSM1213674
[6]
GSM1213675
[7]
GSM1213676
[8]
GSM1213677
[9]
GSM1213678
[10]
GSM1213679
[11]
GSM1213680
[12]
GSM1213681
[13]
GSM1213682
[14]
GSM1213683
[15]
GSM1213684
[16]
GSM1213685
[17]
GSM1213686
[18]
GSM1213687
[19]
GSM1213688
[20]
GSM1213689
[21]
GSM1213690
[22]
GSM1213691
[23]
GSM1213692
[24]
GSM1213693
[25]
GSM1213694
[26]
GSM1213695
[27]
GSM1213696
[28]
GSM1213697
[29]
GSM1213698
[30]
GSM1213699
[31]
GSM1213700
[32]
GSM1213701
[33]
GSM1213702
[34]
GSM1213703
[35]
GSM1213704
[36]
GSM1213705
[37]
GSM1213706
[38]
GSM1213707
[39]
GSM1213708
[40]
GSM1213709
[41]
GSM1213710
[42]
GSM1213711
[43]
GSM1213712
[44]
GSM1213713
[45]
GSM1213714
[46]
GSM1213715
[47]
GSM1213716
[48]
GSM1213717
[49]
GSM1213718
[50]
GSM1213719
[51]
GSM1213720
[52]
GSM1213721
[53]
GSM1213722
[54]
GSM1213723
[55]
GSM1213724
[56]
GSM1213725
[57]
GSM1213726
[58]
GSM1213727
[59]
GSM1213728
[60]
GSM1213729
[61]
GSM1213730
[62]
GSM1213731
[63]
GSM1213732
[64]
GSM1213733
[65]
GSM1213734
[66]
GSM1213735
[67]
GSM1213736
[68]
GSM1213737
[69]
GSM1213738
[70]
GSM1213739
[71]
GSM1213740
[72]
GSM1213741
[73]
GSM1213742
[74]
GSM1213743
[75]
GSM1213744
[76]
GSM1213745
[77]
GSM1213746
[78]
GSM1213747
[79]
GSM1213748
[80]
GSM1213749
[81]
GSM1213750
[82]
GSM1213751
[83]
GSM1213752
[84]
GSM1213753
[85]
GSM1213754
[86]
GSM1213755
[87]
GSM1213756
[88]
GSM1213757
[89]
GSM1213758
[90]
GSM1213759
[91]
GSM1213760
[92]
GSM1213761
[93]
GSM1213762
[94]
GSM1213763
[95]
GSM1213764
[96]
GSM1213765
[97]
GSM1213766
[98]
GSM1213767
[99]
GSM1213768
[100]
GSM1213769
[101]
GSM1213770
[102]
GSM1213771
[103]
GSM1213772
[104]
GSM1213773
[105]
GSM1213774
[106]
GSM1213775
[107]
GSM1213776
[108]
GSM1213777
[109]
GSM1213778
[110]
GSM1213779
[111]
GSM1213780
[112]
GSM1213781
[113]
GSM1213782
[114]
GSM1213783
[115]
GSM1213784
[116]
GSM1213785
[117]
GSM1213786
[118]
GSM1213787
[119]
GSM1213788
[120]
GSM1213789
[121]
GSM1213790
[122]
GSM1213791
[123]
GSM1213792
[124]
GSM1213793
[125]
GSM1213794
[126]
GSM1213795
[127]
GSM1213796
[128]
GSM1213797
[129]
GSM1213798
[130]
GSM1213799
[131]
GSM1213800
[132]
GSM1213801
[133]
GSM1213802
[134]
GSM1213803
[135]
GSM1213804
[136]
GSM1213805
[137]
GSM1213806
[138]
GSM1213807
[139]
GSM1213808
[140]
GSM1213809
[141]
GSM1213810
[142]
GSM1213811
[143]
GSM1213812
[144]
GSM1213813
[145]
GSM1213814
[146]
GSM1213815
[147]
GSM1213816
[148]
GSM1213817
[149]
GSM1213818
[150]
GSM1213819
[151]
GSM1213820
[152]
GSM1213821
[153]
GSM1213822
[154]
GSM1213823
[155]
GSM1213824
[156]
GSM1213825
[157]
GSM1213826
[158]
GSM1213827
[159]
GSM1213828
[160]
GSM1213829
[161]
GSM1213830
[162]
GSM1213831
[163]
GSM1213832
[164]
GSM1213833
[165]
GSM1213834
[166]
GSM1213835
[167]
GSM1213836
[168]
GSM1213837
[169]
GSM1213838
[170]
GSM1213839
[171]
GSM1213840
[172]
GSM1213841
[173]
GSM1213842
[174]
GSM1213843
[175]
GSM1213844
[176]
GSM1213845
[177]
GSM1213846
[178]
GSM1213847
[179]
GSM1213848
[180]
GSM1213849
sample_count
181
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE29013 not downloaded
[1]
asset:data:geo:GSE29013 licence not read
[2]
asset:data:geo:GSE30219 not downloaded
[3]
asset:data:geo:GSE30219 licence not read
[4]
asset:data:geo:GSE31210 not downloaded
[5]
asset:data:geo:GSE31210 licence not read
[6]
asset:data:geo:GSE37745 not downloaded
[7]
asset:data:geo:GSE37745 licence not read
[8]
asset:data:geo:GSE50081 not downloaded
[9]
asset:data:geo:GSE50081 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Cox model
[2] object · 10 fields
id
method-3
family
principal_component_analysis
specific
pca
label
Principal component analysis
dsl_operations array · 1 item
[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.7
band
medium
quote
principal component analysis
[3] object · 10 fields
id
method-4
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
[4] object · 10 fields
id
method-5
family
null
specific
null
label
least absolute shrinkage and selection operator (LASSO) regression
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
In order to prevent overfitting, we performed the least absolute shrinkage and selection operator (LASSO) using the R package “glmnet” on the prognostic DELs.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 5 items
[0]
GSE29013
[1]
GSE30219
[2]
GSE31210
[3]
GSE37745
[4]
GSE50081
resolved_accessions array · 5 items
[0]
GSE29013
[1]
GSE30219
[2]
GSE31210
[3]
GSE37745
[4]
GSE50081
statements array · 1 item
[0]
Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.
basis
The paper names GSE29013, GSE30219, GSE31210, GSE37745, GSE50081 in Gene Expression Omnibus and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 2 items
[0]
source:pmid:36874011
[1]
data:geo:GSE29013
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:GSE29013
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
2026-11-01T18:32:38Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
27356
completion_tokens
2159
cached_tokens
128
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:36874011
type
paper
label
pmid:36874011
[1] object · 3 fields
id
source:pmid:36874011
type
manuscript
label
PMID 36874011 full text
[2] object · 3 fields
id
data:geo:GSE29013
type
dataset
label
GEO GSE29013
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:36874011
type
paper
label
pmid:36874011
[1] object · 3 fields
id
source:pmid:36874011
type
manuscript
label
PMID 36874011 full text
[2] object · 3 fields
id
data:geo:GSE29013
type
dataset
label
GEO GSE29013
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36874011
type
extraction
used array · 1 item
[0]
source:pmid:36874011
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE29013
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE29013
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:36874011
parent_hash
sha256:16ec391c174a42e68f849d5e25ee74181e77eb5906fcccde55dca0513301692a
fork_of
null
gaps array · 15 items
[0]
asset:data:geo:GSE29013 licence not read
[1]
asset:data:geo:GSE29013 not downloaded
[2]
asset:data:geo:GSE30219 licence not read
[3]
asset:data:geo:GSE30219 not downloaded
[4]
asset:data:geo:GSE31210 licence not read
[5]
asset:data:geo:GSE31210 not downloaded
[6]
asset:data:geo:GSE37745 licence not read
[7]
asset:data:geo:GSE37745 not downloaded
[8]
asset:data:geo:GSE50081 licence not read
[9]
asset:data:geo:GSE50081 not downloaded
[10]
execution.not_run
[11]
method.reader_named_unmapped
[12]
review.human_critique
[13]
review.independent_reader
[14]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 2 items
[0]
her forms of regulated cell death, including apoptosis, necroptosis, pyroptosis, and ferroptosis. T
[1]
RLncSig correlated with 2,469/3,681 (67.07%) apoptosis-related genes, 13/20 (65.00%) necroptosis-re
order_basis
paper_text_order:1193
id
assay:1
[1] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
otential drugs for high risk CRLncSig LUADs. Real-time PCR in human LUAD tissues were performed to veri
[1]
ifferentially expressed in the real world by real-time PCR. The CRLncSig correlated with 2,469/3,681 (6
order_basis
paper_text_order:1462
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier
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:36874011", "kind": "science-record", "revision": 3, "content_hash": "sha256:96cc6eabbc6743485c37e807bf8896599c85fcf64743c1cc013c989ec38556d0", "created_at": "2026-11-01T19:01:30Z", "updated_at": "2026-11-01T22:08:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prognosis and personalized treatment prediction in lung adenocarcinoma: An in silico and in vitro strategy adopting cuproptosis related lncRNA towards precision oncology.", "doi": "10.3389/fphar.2023.1113808", "pmid": "36874011", "authors": ["Chao Ma", "Feng Li", "Zhanfeng He", "Song Zhao", "Yang Yang", "Zhuoyu Gu"], "journal": "Frontiers in pharmacology", "year": 2023, "abstract": "Background: There is a rapid increase in lung adenocarcinomas (LUAD), and studies suggest associations between cuproptosis and the occurrence of various types of tumors. However, it remains unclear whether cuproptosis plays a role in LUAD prognosis. Methods: Dataset of the TCGA-LUAD was treated as training cohort, while validation cohort consisted of the merged datasets of the GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081. Ten studied cuproptosis-related genes (CRG) were used to generated CRG clusters and CRG cluster-related differential expressed gene (CRG-DEG) clusters. The differently expressed lncRNA that with prognosis ability between the CRG-DEG clusters were put into a LASSO regression for cuproptosis-related lncRNA signature (CRLncSig). Kaplan-Meier estimator, Cox model, receiver operating characteristic (ROC), time-dependent AUC (tAUC), principal component analysis (PCA), and nomogram predictor were further deployed to confirm the model's accuracy. We examined the model's connections with other forms of regulated cell death, including apoptosis, necroptosis, pyroptosis, and ferroptosis. The immunotherapy ability of the signature was demonstrated by applying eight mainstream immunoinformatic algorithms, TMB, TIDE, and immune checkpoints. We evaluated the potential drugs for high risk CRLncSig LUADs. Real-time PCR in human LUAD tissues were performed to verify the CRLncSig expression pattern, and the signature's pan-cancer's ability was also assessed. Results: A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort. Each of the signature genes was confirmed differentially expressed in the real world by real-time PCR. The CRLncSig correlated with 2,469/3,681 (67.07%) apoptosis-related genes, 13/20 (65.00%) necroptosis-related genes, 35/50 (70.00%) pyroptosis-related genes, and 238/380 (62.63%) ferroptosis-related genes. Immunotherapy analysis suggested that CRLncSig correlated with immune status, and checkpoints, KIR2DL3, IL10, IL2, CD40LG, SELP, BTLA, and CD28, were linked closely to our signature and were potentially suitable for LUAD immunotherapy targets. For those high-risk patients, we found three agents, gemcitabine, daunorubicin, and nobiletin. Finally, we found some of the CRLncSig lncRNAs potentially play a vital role in some types of cancer and need more attention in further studies. Conclusion: The results of this study suggest our cuproptosis-related CRLncSig can help to determine the outcome of LUAD and the effectiveness of immunotherapy, as well as help to better select targets and therapeutic agents.", "claims": [{"id": "claim-method", "statement": "In order to prevent overfitting, we performed the least absolute shrinkage and selection operator (LASSO) using the R package “glmnet” on the prognostic DELs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36874011", "locator": "sections[5] \"Constructions of CRG-DEG clusters and a cuproptosis-regulated lncRNA signature (CRLncSig)\" paragraph 2", "quote": "In order to prevent overfitting, we performed the least absolute shrinkage and selection operator (LASSO) using the R package “glmnet” on the prognostic DELs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36874011", "locator": "sections[29] \"Data availability statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36874011", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A nine-lncRNA signature, CRLncSig, was built and demonstrated owning prognostic power by applied to the validation cohort.", "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:36874011"], "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:GSE29013"], "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:GSE29013"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36874011", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fphar.2023.1113808", "sha256": "sha256:2d53908c069182f28f54f6e446361685fc8c5313dda3bad0a618f8e9aa101eae", "bytes": 99239, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fphar.2023.1113808", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9975170", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE29013", "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=GSE29013", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE29013", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM718769", "GSM718770", "GSM718771", "GSM718772", "GSM718773", "GSM718774", "GSM718775", "GSM718776", "GSM718777", "GSM718778", "GSM718779", "GSM718780", "GSM718781", "GSM718782", "GSM718783", "GSM718784", "GSM718785", "GSM718786", "GSM718787", "GSM718788", "GSM718789", "GSM718790", "GSM718791", "GSM718792", "GSM718793", "GSM718794", "GSM718795", "GSM718796", "GSM718797", "GSM718798", "GSM718799", "GSM718800", "GSM718801", "GSM718802", "GSM718803", "GSM718804", "GSM718805", "GSM718806", "GSM718807", "GSM718808", "GSM718809", "GSM718810", "GSM718811", "GSM718812", "GSM718813", "GSM718814", "GSM718815", "GSM718816", "GSM718817", "GSM718818", "GSM718819", "GSM718820", "GSM718821", "GSM718822", "GSM718823"], "sample_count": 55, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Robust Gene Expression Signature from Formalin-Fixed Paraffin-Embedded Samples Predicts Prognosis of Non-Small-Cell Lung Cancer Patients", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"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": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "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": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "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:GSE37745", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE37745", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1019138", "GSM1019139", "GSM1019140", "GSM1019141", "GSM1019142", "GSM1019143", "GSM1019144", "GSM1019145", "GSM1019146", "GSM1019147", "GSM1019148", "GSM1019149", "GSM1019150", "GSM1019151", "GSM1019152", "GSM1019153", "GSM1019154", "GSM1019155", "GSM1019156", "GSM1019157", "GSM1019158", "GSM1019159", "GSM1019160", "GSM1019161", "GSM1019162", "GSM1019163", "GSM1019164", "GSM1019165", "GSM1019166", "GSM1019167", "GSM1019168", "GSM1019169", "GSM1019170", "GSM1019171", "GSM1019172", "GSM1019173", "GSM1019174", "GSM1019175", "GSM1019176", "GSM1019177", "GSM1019178", "GSM1019179", "GSM1019180", "GSM1019181", "GSM1019182", "GSM1019183", "GSM1019184", "GSM1019185", "GSM1019186", "GSM1019187", "GSM1019188", "GSM1019189", "GSM1019190", "GSM1019191", "GSM1019192", "GSM1019193", "GSM1019194", "GSM1019195", "GSM1019196", "GSM1019197", "GSM1019198", "GSM1019199", "GSM1019200", "GSM1019201", "GSM1019202", "GSM1019203", "GSM1019204", "GSM1019205", "GSM1019206", "GSM1019207", "GSM1019208", "GSM1019209", "GSM1019210", "GSM1019211", "GSM1019212", "GSM1019213", "GSM1019214", "GSM1019215", "GSM1019216", "GSM1019217", "GSM1019218", "GSM1019219", "GSM1019220", "GSM1019221", "GSM1019222", "GSM1019223", "GSM1019224", "GSM1019225", "GSM1019226", "GSM1019227", "GSM1019228", "GSM1019229", "GSM1019230", "GSM1019231", "GSM1019232", "GSM1019233", "GSM1019234", "GSM1019235", "GSM1019236", "GSM1019237", "GSM1019238", "GSM1019239", "GSM1019240", "GSM1019241", "GSM1019242", "GSM1019243", "GSM1019244", "GSM1019245", "GSM1019246", "GSM1019247", "GSM1019248", "GSM1019249", "GSM1019250", "GSM1019251", "GSM1019252", "GSM1019253", "GSM1019254", "GSM1019255", "GSM1019256", "GSM1019257", "GSM1019258", "GSM1019259", "GSM1019260", "GSM1019261", "GSM1019262", "GSM1019263", "GSM1019264", "GSM1019265", "GSM1019266", "GSM1019267", "GSM1019268", "GSM1019269", "GSM1019270", "GSM1019271", "GSM1019272", "GSM1019273", "GSM1019274", "GSM1019275", "GSM1019276", "GSM1019277", "GSM1019278", "GSM1019279", "GSM1019280", "GSM1019281", "GSM1019282", "GSM1019283", "GSM1019284", "GSM1019285", "GSM1019286", "GSM1019287", "GSM1019288", "GSM1019289", "GSM1019290", "GSM1019291", "GSM1019292", "GSM1019293", "GSM1019294", "GSM1019295", "GSM1019296", "GSM1019297", "GSM1019298", "GSM1019299", "GSM1019300", "GSM1019301", "GSM1019302", "GSM1019303", "GSM1019304", "GSM1019305", "GSM1019306", "GSM1019307", "GSM1019308", "GSM1019309", "GSM1019310", "GSM1019311", "GSM1019312", "GSM1019313", "GSM1019314", "GSM1019315", "GSM1019316", "GSM1019317", "GSM1019318", "GSM1019319", "GSM1019320", "GSM1019321", "GSM1019322", "GSM1019323", "GSM1019324", "GSM1019325", "GSM1019326", "GSM1019327", "GSM1019328", "GSM1019329", "GSM1019330", "GSM1019331", "GSM1019332", "GSM1019333"], "sample_count": 196, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE50081", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE50081", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1213669", "GSM1213670", "GSM1213671", "GSM1213672", "GSM1213673", "GSM1213674", "GSM1213675", "GSM1213676", "GSM1213677", "GSM1213678", "GSM1213679", "GSM1213680", "GSM1213681", "GSM1213682", "GSM1213683", "GSM1213684", "GSM1213685", "GSM1213686", "GSM1213687", "GSM1213688", "GSM1213689", "GSM1213690", "GSM1213691", "GSM1213692", "GSM1213693", "GSM1213694", "GSM1213695", "GSM1213696", "GSM1213697", "GSM1213698", "GSM1213699", "GSM1213700", "GSM1213701", "GSM1213702", "GSM1213703", "GSM1213704", "GSM1213705", "GSM1213706", "GSM1213707", "GSM1213708", "GSM1213709", "GSM1213710", "GSM1213711", "GSM1213712", "GSM1213713", "GSM1213714", "GSM1213715", "GSM1213716", "GSM1213717", "GSM1213718", "GSM1213719", "GSM1213720", "GSM1213721", "GSM1213722", "GSM1213723", "GSM1213724", "GSM1213725", "GSM1213726", "GSM1213727", "GSM1213728", "GSM1213729", "GSM1213730", "GSM1213731", "GSM1213732", "GSM1213733", "GSM1213734", "GSM1213735", "GSM1213736", "GSM1213737", "GSM1213738", "GSM1213739", "GSM1213740", "GSM1213741", "GSM1213742", "GSM1213743", "GSM1213744", "GSM1213745", "GSM1213746", "GSM1213747", "GSM1213748", "GSM1213749", "GSM1213750", "GSM1213751", "GSM1213752", "GSM1213753", "GSM1213754", "GSM1213755", "GSM1213756", "GSM1213757", "GSM1213758", "GSM1213759", "GSM1213760", "GSM1213761", "GSM1213762", "GSM1213763", "GSM1213764", "GSM1213765", "GSM1213766", "GSM1213767", "GSM1213768", "GSM1213769", "GSM1213770", "GSM1213771", "GSM1213772", "GSM1213773", "GSM1213774", "GSM1213775", "GSM1213776", "GSM1213777", "GSM1213778", "GSM1213779", "GSM1213780", "GSM1213781", "GSM1213782", "GSM1213783", "GSM1213784", "GSM1213785", "GSM1213786", "GSM1213787", "GSM1213788", "GSM1213789", "GSM1213790", "GSM1213791", "GSM1213792", "GSM1213793", "GSM1213794", "GSM1213795", "GSM1213796", "GSM1213797", "GSM1213798", "GSM1213799", "GSM1213800", "GSM1213801", "GSM1213802", "GSM1213803", "GSM1213804", "GSM1213805", "GSM1213806", "GSM1213807", "GSM1213808", "GSM1213809", "GSM1213810", "GSM1213811", "GSM1213812", "GSM1213813", "GSM1213814", "GSM1213815", "GSM1213816", "GSM1213817", "GSM1213818", "GSM1213819", "GSM1213820", "GSM1213821", "GSM1213822", "GSM1213823", "GSM1213824", "GSM1213825", "GSM1213826", "GSM1213827", "GSM1213828", "GSM1213829", "GSM1213830", "GSM1213831", "GSM1213832", "GSM1213833", "GSM1213834", "GSM1213835", "GSM1213836", "GSM1213837", "GSM1213838", "GSM1213839", "GSM1213840", "GSM1213841", "GSM1213842", "GSM1213843", "GSM1213844", "GSM1213845", "GSM1213846", "GSM1213847", "GSM1213848", "GSM1213849"], "sample_count": 181, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE29013 not downloaded", "asset:data:geo:GSE29013 licence not read", "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:GSE37745 not downloaded", "asset:data:geo:GSE37745 licence not read", "asset:data:geo:GSE50081 not downloaded", "asset:data:geo:GSE50081 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "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-2", "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": 0.7, "band": "medium", "quote": "Cox model"}}, {"id": "method-3", "family": "principal_component_analysis", "specific": "pca", "label": "Principal component analysis", "dsl_operations": ["pca_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["wide_numeric_matrix"], "evidence": {"score": 0.7, "band": "medium", "quote": "principal component analysis"}}, {"id": "method-4", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.8, "band": "high", "quote": "ROC curve"}}, {"id": "method-5", "family": null, "specific": null, "label": "least absolute shrinkage and selection operator (LASSO) regression", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "In order to prevent overfitting, we performed the least absolute shrinkage and selection operator (LASSO) using the R package “glmnet” on the prognostic DELs."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "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": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "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": ["GSE29013", "GSE30219", "GSE31210", "GSE37745", "GSE50081"], "resolved_accessions": ["GSE29013", "GSE30219", "GSE31210", "GSE37745", "GSE50081"], "statements": ["Publicly available datasets were analyzed in this study. This data can be found here: This study used publicly available datasets. Their names and where to get them are as follows: TCGA and pan-cancer TCGA TARGET GTEx, https://xenabrowser.net; GSE29013, GSE30219, GSE31210, GSE37745, and GSE50081, https://www.ncbi.nlm.nih.gov/geo; CCLs database, https://depmap.org/portal; CTRP database, https://portals.broadinstitute.org/ctrp; PRISM database, https://depmap.org/portal/prism."], "basis": "The paper names GSE29013, GSE30219, GSE31210, GSE37745, GSE50081 in Gene Expression Omnibus and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:36874011", "data:geo:GSE29013"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE29013"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:32:38Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 27356, "completion_tokens": 2159, "cached_tokens": 128}}, "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:36874011", "type": "paper", "label": "pmid:36874011"}, {"id": "source:pmid:36874011", "type": "manuscript", "label": "PMID 36874011 full text"}, {"id": "data:geo:GSE29013", "type": "dataset", "label": "GEO GSE29013"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36874011", "type": "paper", "label": "pmid:36874011"}, {"id": "source:pmid:36874011", "type": "manuscript", "label": "PMID 36874011 full text"}, {"id": "data:geo:GSE29013", "type": "dataset", "label": "GEO GSE29013"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36874011", "type": "extraction", "used": ["source:pmid:36874011"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE29013", "type": "accession_resolution", "used": ["data:geo:GSE29013"], "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:36874011", "parent_hash": "sha256:16ec391c174a42e68f849d5e25ee74181e77eb5906fcccde55dca0513301692a", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE29013 licence not read", "asset:data:geo:GSE29013 not downloaded", "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:GSE37745 licence not read", "asset:data:geo:GSE37745 not downloaded", "asset:data:geo:GSE50081 licence not read", "asset:data:geo:GSE50081 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["her forms of regulated cell death, including apoptosis, necroptosis, pyroptosis, and ferroptosis. T", "RLncSig correlated with 2,469/3,681 (67.07%) apoptosis-related genes, 13/20 (65.00%) necroptosis-re"], "order_basis": "paper_text_order:1193", "id": "assay:1"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["otential drugs for high risk CRLncSig LUADs. Real-time PCR in human LUAD tissues were performed to veri", "ifferentially expressed in the real world by real-time PCR. The CRLncSig correlated with 2,469/3,681 (6"], "order_basis": "paper_text_order:1462", "id": "assay:2"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["Kaplan-Meier"], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}