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

pmid:38213773

Identification of a necroptosis-related gene signature for making clinical predictions of the survival of patients with lung adenocarcinoma.

Xiaoping Zhou · Ming Zhao · Yingzi Fan · Ying Xu

PeerJ · 2024 doi:10.7717/peerj.16616

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:38213773
kind
science-record
content_hash
sha256:f53184f9e6f67134cd9530dbe05706e0639fc852893311432a2e9be1fd790294
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:20:07Z
updated_at
2026-11-01T22:11:01Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification of a necroptosis-related gene signature for making clinical predictions of the survival of patients with lung adenocarcinoma.
doi
10.7717/peerj.16616
pmid
38213773
authors array · 4 items
[0]
Xiaoping Zhou
[1]
Ming Zhao
[2]
Yingzi Fan
[3]
Ying Xu
journal
PeerJ
year
2024
abstract
Background: Lung adenocarcinoma (LUAD) is a major pathological subtype of malignant lung cancer with a poor prognosis. Necroptosis is a caspase-independent programmed cell death mode that plays a pivotal role in cancer oncogenesis and metastasis. Here, we explore the prognostic values of different necroptosis-related genes (NRGs) in LUAD. Methods: mRNA expression data and related clinical information for LUAD samples were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases. NRGs were identified using the GeneCards database. Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model. Time-dependent receiver-operating characteristic curves and a nomogram were constructed to validate the predictive values of the prognostic signatures. A necroptosis-related protein-protein interaction network was visualised using the STRING database and Cytoscape software. Functional analyses, including Gene Ontology, Kyoto Encyclopaedia of Genes and Genomes pathway enrichment, gene set enrichment, and gene set variation analyses, were conducted to explore the underlying molecular mechanisms. Finally, the mRNA expression of the prognostic signatures in LUAD cell lines was assessed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis. Results: A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 cohort. Patients with low-risk scores had better survival outcomes than those with high-risk scores (p = 0.00013). The nomogram was used to predict the prognosis of patients with LUAD. The prediction curves for 1-, 3-, and 5-year OS showed good predictive performance and the accuracy of the nomograms increased over time. RT-qPCR results demonstrated that these eight genes, especially CALM1, PRDX1, and PGLYRP1, were differentially expressed in LUAD cells. Conclusion: We constructed a reliable eight-NRG signature that provides new insights for guiding clinical practice in the prognosis and treatment of LUAD.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38213773
locator
sections[0] "Abstract" paragraph 2
quote
Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38213773
locator
sections[21] "Additional Information and Declarations" paragraph 4
quote
The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 cohort.
kind
quantitative
target object · 4 fields
value
0.00013
unit
p-value
tolerance
null
source
Patients with low-risk scores had better survival outcomes than those with high-risk scores (p = 0.00013).
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:38213773
locator
sections[0] "Abstract" paragraph 3
quote
A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 cohort.
[1] object · 3 fields
asset
source:pmid:38213773
locator
sections[0] "Abstract" paragraph 3
quote
Patients with low-risk scores had better survival outcomes than those with high-risk scores (p = 0.00013).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 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:38213773
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:GSE68465
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:GSE68465
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 · 2 items
[0] object · 15 fields
id
source:pmid:38213773
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.7717/peerj.16616
sha256
sha256:833298115c5fd20515a7a3f7f6613cf00a224be13836f6a5369854f84c9aae8c
bytes
37148
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.7717/peerj.16616
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
PMC10782958
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] 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 code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.
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
gaps array · 2 items
[0]
asset:data:geo:GSE68465 not downloaded
[1]
asset:data:geo:GSE68465 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[2] object · 10 fields
id
method-3
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
0.7
band
medium
quote
pathway enrichment
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
build_graph
expected_value
0.00013
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE68465
resolved_accessions array · 1 item
[0]
GSE68465
statements array · 1 item
[0]
The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.
basis
The paper names GSE68465 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:38213773
[1]
data:geo:GSE68465
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:GSE68465
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
2026-11-01T19:05:01Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
10223
completion_tokens
2252
cached_tokens
264
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:38213773
type
paper
label
pmid:38213773
[1] object · 3 fields
id
source:pmid:38213773
type
manuscript
label
PMID 38213773 full text
[2] object · 3 fields
id
data:geo:GSE68465
type
dataset
label
GEO GSE68465
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:38213773
type
paper
label
pmid:38213773
[1] object · 3 fields
id
source:pmid:38213773
type
manuscript
label
PMID 38213773 full text
[2] object · 3 fields
id
data:geo:GSE68465
type
dataset
label
GEO GSE68465
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38213773
type
extraction
used array · 1 item
[0]
source:pmid:38213773
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE68465
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE68465
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:38213773
parent_hash
sha256:ca51e53fb3ead41de9b7ce7c9b3e3660e0a1030e7ea0acb8c5ee5079cba63648
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE68465 licence not read
[1]
asset:data:geo:GSE68465 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 4 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
0.77
evidence array · 1 item
[0]
ncer with a poor prognosis. Necroptosis is a caspase-independent programmed cell death mode that
order_basis
paper_text_order:232
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 · 4 items
[0]
tion-quantitative polymerase chain reaction (RT-qPCR) analysis. Results: A prognostic model was e
[1]
curacy of the nomograms increased over time. RT-qPCR results demonstrated that these eight genes,
[2]
n-quantitative polymerase chain reaction (RT-qPCR) analysis. Results: A prognostic model was e
[3]
acy of the nomograms increased over time. RT-qPCR results demonstrated that these eight genes,
order_basis
paper_text_order:1455
id
assay:2
[2] 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
0.99
evidence array · 2 items
[0]
me Biotechnology (Procell, Wuhan, China) and cultured in RPMI-1640 medium containing 10% foetal bovin
[1]
lung cell line (2B) and two LUAD cell lines (A549 and H1650) were purchased from Beyotime Biot
order_basis
paper_text_order:2359
id
assay:3
[3] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model.
order_basis
consumes_earlier_output
id
assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38213773", "kind": "science-record", "revision": 3, "content_hash": "sha256:f53184f9e6f67134cd9530dbe05706e0639fc852893311432a2e9be1fd790294", "created_at": "2026-11-01T19:20:07Z", "updated_at": "2026-11-01T22:11:01Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of a necroptosis-related gene signature for making clinical predictions of the survival of patients with lung adenocarcinoma.", "doi": "10.7717/peerj.16616", "pmid": "38213773", "authors": ["Xiaoping Zhou", "Ming Zhao", "Yingzi Fan", "Ying Xu"], "journal": "PeerJ", "year": 2024, "abstract": "Background: Lung adenocarcinoma (LUAD) is a major pathological subtype of malignant lung cancer with a poor prognosis. Necroptosis is a caspase-independent programmed cell death mode that plays a pivotal role in cancer oncogenesis and metastasis. Here, we explore the prognostic values of different necroptosis-related genes (NRGs) in LUAD.\nMethods: mRNA expression data and related clinical information for LUAD samples were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases. NRGs were identified using the GeneCards database. Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model. Time-dependent receiver-operating characteristic curves and a nomogram were constructed to validate the predictive values of the prognostic signatures. A necroptosis-related protein-protein interaction network was visualised using the STRING database and Cytoscape software. Functional analyses, including Gene Ontology, Kyoto Encyclopaedia of Genes and Genomes pathway enrichment, gene set enrichment, and gene set variation analyses, were conducted to explore the underlying molecular mechanisms. Finally, the mRNA expression of the prognostic signatures in LUAD cell lines was assessed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis.\nResults: A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 cohort. Patients with low-risk scores had better survival outcomes than those with high-risk scores (p = 0.00013). The nomogram was used to predict the prognosis of patients with LUAD. The prediction curves for 1-, 3-, and 5-year OS showed good predictive performance and the accuracy of the nomograms increased over time. RT-qPCR results demonstrated that these eight genes, especially CALM1, PRDX1, and PGLYRP1, were differentially expressed in LUAD cells.\nConclusion: We constructed a reliable eight-NRG signature that provides new insights for guiding clinical practice in the prognosis and treatment of LUAD.", "claims": [{"id": "claim-method", "statement": "Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38213773", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38213773", "locator": "sections[21] \"Additional Information and Declarations\" paragraph 4", "quote": "The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 cohort.", "kind": "quantitative", "target": {"value": 0.00013, "unit": "p-value", "tolerance": null, "source": "Patients with low-risk scores had better survival outcomes than those with high-risk scores (p = 0.00013)."}, "evidence": [{"asset": "source:pmid:38213773", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 cohort."}, {"asset": "source:pmid:38213773", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Patients with low-risk scores had better survival outcomes than those with high-risk scores (p = 0.00013)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A prognostic model was established for eight NRGs (CALM1, DDX17, FPR1, OGT, PGLYRP1, PRDX1, TUFM, and CPSF3) based on TCGA-cohort data and validated with the GSE68465 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:38213773"], "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:GSE68465"], "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:GSE68465"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38213773", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7717/peerj.16616", "sha256": "sha256:833298115c5fd20515a7a3f7f6613cf00a224be13836f6a5369854f84c9aae8c", "bytes": 37148, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.7717/peerj.16616", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10782958", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"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 code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files.", "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}}], "gaps": ["asset:data:geo:GSE68465 not downloaded", "asset:data:geo:GSE68465 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model."}}, {"id": "method-2", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-3", "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": 0.7, "band": "medium", "quote": "pathway enrichment"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "build_graph", "expected_value": 0.00013, "unit": "p-value", "tolerance": null, "state": "complete", "note": "The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold."}], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE68465"], "resolved_accessions": ["GSE68465"], "statements": ["The original code and gene expression data of lung adenocarcinoma are available in the Supplemental Files."], "basis": "The paper names GSE68465 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:38213773", "data:geo:GSE68465"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE68465"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:05:01Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10223, "completion_tokens": 2252, "cached_tokens": 264}}, "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:38213773", "type": "paper", "label": "pmid:38213773"}, {"id": "source:pmid:38213773", "type": "manuscript", "label": "PMID 38213773 full text"}, {"id": "data:geo:GSE68465", "type": "dataset", "label": "GEO GSE68465"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:38213773", "type": "paper", "label": "pmid:38213773"}, {"id": "source:pmid:38213773", "type": "manuscript", "label": "PMID 38213773 full text"}, {"id": "data:geo:GSE68465", "type": "dataset", "label": "GEO GSE68465"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-38213773", "type": "extraction", "used": ["source:pmid:38213773"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE68465", "type": "accession_resolution", "used": ["data:geo:GSE68465"], "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:38213773", "parent_hash": "sha256:ca51e53fb3ead41de9b7ce7c9b3e3660e0a1030e7ea0acb8c5ee5079cba63648", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE68465 licence not read", "asset:data:geo:GSE68465 not downloaded", "execution.not_run", "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": 0.77, "evidence": ["ncer with a poor prognosis. Necroptosis is a caspase-independent programmed cell death mode that"], "order_basis": "paper_text_order:232", "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": ["tion-quantitative polymerase chain reaction (RT-qPCR) analysis. Results: A prognostic model was e", "curacy of the nomograms increased over time. RT-qPCR results demonstrated that these eight genes,", "n-quantitative polymerase chain reaction (RT-qPCR) analysis. Results: A prognostic model was e", "acy of the nomograms increased over time. RT-qPCR results demonstrated that these eight genes,"], "order_basis": "paper_text_order:1455", "id": "assay:2"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["me Biotechnology (Procell, Wuhan, China) and cultured in RPMI-1640 medium containing 10% foetal bovin", "lung cell line (2B) and two LUAD cell lines (A549 and H1650) were purchased from Beyotime Biot"], "order_basis": "paper_text_order:2359", "id": "assay:3"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis were used to construct a prognostic risk model."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}