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

pmid:34659343

The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid Leukemia.

Chao Dong · Naijin Zhang · Lijun Zhang

Frontiers in genetics · 2021 doi:10.3389/fgene.2021.722064

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:34659343
kind
science-record
content_hash
sha256:4450349574eeb0262a9ad160d816df1814e2719ad8b07fc2d20a91754001fc83
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:36:19Z
updated_at
2026-11-01T21:26:26Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid Leukemia.
doi
10.3389/fgene.2021.722064
pmid
34659343
authors array · 3 items
[0]
Chao Dong
[1]
Naijin Zhang
[2]
Lijun Zhang
journal
Frontiers in genetics
year
2021
abstract
Background: Acute myeloid leukemia (AML) is one of the most common cancers in the world, and oxidative stress is closely related to leukemia. A lot of effort has been made to improve the prognosis of AML. However, the situation remains serious. Hence, we focused on the study of prognostic genes in AML. Materials and Methods: Prognostic oxidative stress genes were screened out. The gene expression profile of AML patients was downloaded from the The Cancer Genome Atlas (TCGA) database. The oxidative stress-related model was constructed, by which the prognosis of AML patients was predicted using the two GEO GSE23143 datasets and the stability of the GSE71014 authentication model. Results: The prognostic oxidative stress genes were screened out in AML, and the prognostic genes were significantly enriched in a large number of pathways based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. There was a complex interaction between prognostic genes and transcription factors. After constructing the prediction model, the clinical predictive value of the model was discussed in a multi-omic study. We investigated the sensitivity of risk score to common chemotherapeutic agents, the influence of signaling pathways on the prognosis of AML patients, and the correlation of multiple genes with immune score and immune dysfunction. Conclusions: A highly effective prognostic risk model for AML patients was established and validated. The association of prognostic oxidative stress genes with drug sensitivity, signaling pathways, and immune infiltration was explored. The results suggested that oxidative stress genes promised to be potential prognostic biomarkers for AML, which may provide a new basis for disease management.
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
Lasso regression was used to construct the prognostic model.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34659343
locator
sections[5] "Model Construction and Prognosis" paragraph 2
quote
Lasso regression was used to construct the prognostic model.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34659343
locator
sections[26] "Data Availability Statement" paragraph 2
quote
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
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:34659343
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:GSE23143
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:GSE23143
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 · 3 items
[0] object · 15 fields
id
source:pmid:34659343
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fgene.2021.722064
sha256
sha256:65cb4557e0107babf3c12dbedf3c31958dcc8b0eefeb47b4648398403e7f2d88
bytes
44719
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fgene.2021.722064
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
PMC8514868
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE23143
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=GSE23143
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE23143
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 253 items
[0]
GSM515705
[1]
GSM515707
[2]
GSM515708
[3]
GSM515709
[4]
GSM515710
[5]
GSM515713
[6]
GSM515714
[7]
GSM515715
[8]
GSM515717
[9]
GSM515719
[10]
GSM515720
[11]
GSM515722
[12]
GSM515723
[13]
GSM515724
[14]
GSM515725
[15]
GSM515727
[16]
GSM515728
[17]
GSM515731
[18]
GSM515736
[19]
GSM515737
[20]
GSM515738
[21]
GSM515739
[22]
GSM515740
[23]
GSM515741
[24]
GSM515743
[25]
GSM515745
[26]
GSM515746
[27]
GSM515747
[28]
GSM515748
[29]
GSM515749
[30]
GSM515750
[31]
GSM515752
[32]
GSM515753
[33]
GSM515754
[34]
GSM515755
[35]
GSM515756
[36]
GSM515757
[37]
GSM515760
[38]
GSM515764
[39]
GSM515767
[40]
GSM515768
[41]
GSM515770
[42]
GSM515771
[43]
GSM515773
[44]
GSM515776
[45]
GSM515780
[46]
GSM515782
[47]
GSM515783
[48]
GSM515785
[49]
GSM515786
[50]
GSM515790
[51]
GSM515791
[52]
GSM515794
[53]
GSM515795
[54]
GSM515797
[55]
GSM515798
[56]
GSM515800
[57]
GSM515801
[58]
GSM515803
[59]
GSM515804
[60]
GSM515805
[61]
GSM515806
[62]
GSM515807
[63]
GSM515809
[64]
GSM515810
[65]
GSM515811
[66]
GSM515812
[67]
GSM515813
[68]
GSM515816
[69]
GSM515817
[70]
GSM515820
[71]
GSM515821
[72]
GSM515823
[73]
GSM515827
[74]
GSM515828
[75]
GSM515832
[76]
GSM515833
[77]
GSM515835
[78]
GSM515836
[79]
GSM515838
[80]
GSM515840
[81]
GSM515841
[82]
GSM515842
[83]
GSM515843
[84]
GSM515844
[85]
GSM515848
[86]
GSM515851
[87]
GSM515856
[88]
GSM515858
[89]
GSM515861
[90]
GSM515869
[91]
GSM515870
[92]
GSM515871
[93]
GSM515872
[94]
GSM515873
[95]
GSM515875
[96]
GSM515876
[97]
GSM515877
[98]
GSM515878
[99]
GSM515880
[100]
GSM515881
[101]
GSM515884
[102]
GSM515885
[103]
GSM515886
[104]
GSM515887
[105]
GSM515888
[106]
GSM515891
[107]
GSM515893
[108]
GSM515895
[109]
GSM515896
[110]
GSM515897
[111]
GSM515901
[112]
GSM515902
[113]
GSM515903
[114]
GSM515904
[115]
GSM515905
[116]
GSM515906
[117]
GSM515907
[118]
GSM515910
[119]
GSM515911
[120]
GSM515912
[121]
GSM515913
[122]
GSM515914
[123]
GSM515915
[124]
GSM515917
[125]
GSM515918
[126]
GSM515920
[127]
GSM515921
[128]
GSM515922
[129]
GSM515923
[130]
GSM515924
[131]
GSM515925
[132]
GSM515927
[133]
GSM515928
[134]
GSM515929
[135]
GSM515930
[136]
GSM515933
[137]
GSM515934
[138]
GSM515935
[139]
GSM515939
[140]
GSM515940
[141]
GSM515942
[142]
GSM515943
[143]
GSM515944
[144]
GSM515945
[145]
GSM515947
[146]
GSM515949
[147]
GSM515951
[148]
GSM515960
[149]
GSM515962
[150]
GSM515964
[151]
GSM515970
[152]
GSM515971
[153]
GSM515972
[154]
GSM515973
[155]
GSM515976
[156]
GSM515978
[157]
GSM515979
[158]
GSM515981
[159]
GSM515984
[160]
GSM515986
[161]
GSM515991
[162]
GSM515996
[163]
GSM515997
[164]
GSM515998
[165]
GSM515999
[166]
GSM516000
[167]
GSM516001
[168]
GSM516003
[169]
GSM516004
[170]
GSM516005
[171]
GSM516008
[172]
GSM516009
[173]
GSM516010
[174]
GSM516011
[175]
GSM516012
[176]
GSM516013
[177]
GSM516015
[178]
GSM516018
[179]
GSM516021
[180]
GSM516022
[181]
GSM516023
[182]
GSM516025
[183]
GSM516026
[184]
GSM516027
[185]
GSM516028
[186]
GSM516030
[187]
GSM516032
[188]
GSM516036
[189]
GSM516037
[190]
GSM516038
[191]
GSM516040
[192]
GSM516041
[193]
GSM516044
[194]
GSM516047
[195]
GSM516049
[196]
GSM516050
[197]
GSM516051
[198]
GSM516056
[199]
GSM516059
[200]
GSM516061
[201]
GSM516062
[202]
GSM516063
[203]
GSM516064
[204]
GSM516066
[205]
GSM516067
[206]
GSM516068
[207]
GSM516069
[208]
GSM516071
[209]
GSM516072
[210]
GSM516073
[211]
GSM516074
[212]
GSM516075
[213]
GSM516076
[214]
GSM516077
[215]
GSM516079
[216]
GSM516080
[217]
GSM516082
[218]
GSM516085
[219]
GSM516086
[220]
GSM516087
[221]
GSM516088
[222]
GSM516089
[223]
GSM516090
[224]
GSM516419
[225]
GSM516421
[226]
GSM516423
[227]
GSM516425
[228]
GSM516427
[229]
GSM516429
[230]
GSM516430
[231]
GSM516432
[232]
GSM516433
[233]
GSM516434
[234]
GSM516435
[235]
GSM516436
[236]
GSM516438
[237]
GSM516440
[238]
GSM516441
[239]
GSM516443
[240]
GSM516445
[241]
GSM516446
[242]
GSM516447
[243]
GSM516448
[244]
GSM516449
[245]
GSM516450
[246]
GSM516451
[247]
GSM516452
[248]
GSM516453
[249]
GSM516457
[250]
GSM516458
[251]
GSM516459
[252]
GSM516460
sample_count
253
group_sizes
null
group_sizes_basis
null
platform
8650;8653;8652;8651;8654
taxon
Homo sapiens
title
Common and overlapping oncogenic pathways contribute to the evolution of acute myeloid leukemias.
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:GSE71014
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=GSE71014
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE71014
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 104 items
[0]
GSM1825455
[1]
GSM1825456
[2]
GSM1825457
[3]
GSM1825458
[4]
GSM1825459
[5]
GSM1825460
[6]
GSM1825461
[7]
GSM1825462
[8]
GSM1825463
[9]
GSM1825464
[10]
GSM1825465
[11]
GSM1825466
[12]
GSM1825467
[13]
GSM1825468
[14]
GSM1825469
[15]
GSM1825470
[16]
GSM1825471
[17]
GSM1825472
[18]
GSM1825473
[19]
GSM1825474
[20]
GSM1825475
[21]
GSM1825476
[22]
GSM1825477
[23]
GSM1825478
[24]
GSM1825479
[25]
GSM1825480
[26]
GSM1825481
[27]
GSM1825482
[28]
GSM1825483
[29]
GSM1825484
[30]
GSM1825485
[31]
GSM1825486
[32]
GSM1825487
[33]
GSM1825488
[34]
GSM1825489
[35]
GSM1825490
[36]
GSM1825491
[37]
GSM1825492
[38]
GSM1825493
[39]
GSM1825494
[40]
GSM1825495
[41]
GSM1825496
[42]
GSM1825497
[43]
GSM1825498
[44]
GSM1825499
[45]
GSM1825500
[46]
GSM1825501
[47]
GSM1825502
[48]
GSM1825503
[49]
GSM1825504
[50]
GSM1825505
[51]
GSM1825506
[52]
GSM1825507
[53]
GSM1825508
[54]
GSM1825509
[55]
GSM1825510
[56]
GSM1825511
[57]
GSM1825512
[58]
GSM1825513
[59]
GSM1825514
[60]
GSM1825515
[61]
GSM1825516
[62]
GSM1825517
[63]
GSM1825518
[64]
GSM1825519
[65]
GSM1825520
[66]
GSM1825521
[67]
GSM1825522
[68]
GSM1825523
[69]
GSM1825524
[70]
GSM1825525
[71]
GSM1825526
[72]
GSM1825527
[73]
GSM1825528
[74]
GSM1825529
[75]
GSM1825530
[76]
GSM1825531
[77]
GSM1825532
[78]
GSM1825533
[79]
GSM1825534
[80]
GSM1825535
[81]
GSM1825536
[82]
GSM1825537
[83]
GSM1825538
[84]
GSM1825539
[85]
GSM1825540
[86]
GSM1825541
[87]
GSM1825542
[88]
GSM1825543
[89]
GSM1825544
[90]
GSM1825545
[91]
GSM1825546
[92]
GSM1825547
[93]
GSM1825548
[94]
GSM1825549
[95]
GSM1825550
[96]
GSM1825551
[97]
GSM1825552
[98]
GSM1825553
[99]
GSM1825554
[100]
GSM1825555
[101]
GSM1825556
[102]
GSM1825557
[103]
GSM1825558
sample_count
104
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
An mRNA Expression Signature for Prognostication in De Novo Acute Myeloid Leukemia Patients with Normal Karyotype
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 · 4 items
[0]
asset:data:geo:GSE23143 not downloaded
[1]
asset:data:geo:GSE23143 licence not read
[2]
asset:data:geo:GSE71014 not downloaded
[3]
asset:data:geo:GSE71014 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
0.8
band
high
quote
KM
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[2] object · 10 fields
id
method-3
family
correlation_analysis
specific
spearman
label
Correlation analysis
dsl_operations array · 1 item
[0]
spearman_rho
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Spearman correlation
[3] object · 10 fields
id
method-4
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
GO enrichment
[4] object · 10 fields
id
method-5
family
null
specific
null
label
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
Lasso regression was used to construct the prognostic model.
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 · 2 items
[0]
GSE23143
[1]
GSE71014
resolved_accessions array · 2 items
[0]
GSE23143
[1]
GSE71014
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
basis
The paper names GSE23143, GSE71014 in NCBI GEO public database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 2 items
[0]
source:pmid:34659343
[1]
data:geo:GSE23143
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:GSE23143
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:04:09Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11785
completion_tokens
1176
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:34659343
type
paper
label
pmid:34659343
[1] object · 3 fields
id
source:pmid:34659343
type
manuscript
label
PMID 34659343 full text
[2] object · 3 fields
id
data:geo:GSE23143
type
dataset
label
GEO GSE23143
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:34659343
type
paper
label
pmid:34659343
[1] object · 3 fields
id
source:pmid:34659343
type
manuscript
label
PMID 34659343 full text
[2] object · 3 fields
id
data:geo:GSE23143
type
dataset
label
GEO GSE23143
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34659343
type
extraction
used array · 1 item
[0]
source:pmid:34659343
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE23143
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE23143
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:34659343
parent_hash
sha256:23b55af72cad40590361cc11bfebd84599f522ec5b5fd80d3b920ee039e2871b
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE23143 licence not read
[1]
asset:data:geo:GSE23143 not downloaded
[2]
asset:data:geo:GSE71014 licence not read
[3]
asset:data:geo:GSE71014 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
CIBERSORT algorithm was used to analyze the RNA-seq data of AML patients in different subgroups
order_basis
paper_text_order:1930
id
assay:1
[1] 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]
KM
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34659343", "kind": "science-record", "revision": 3, "content_hash": "sha256:4450349574eeb0262a9ad160d816df1814e2719ad8b07fc2d20a91754001fc83", "created_at": "2026-11-01T17:36:19Z", "updated_at": "2026-11-01T21:26:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid Leukemia.", "doi": "10.3389/fgene.2021.722064", "pmid": "34659343", "authors": ["Chao Dong", "Naijin Zhang", "Lijun Zhang"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Background: Acute myeloid leukemia (AML) is one of the most common cancers in the world, and oxidative stress is closely related to leukemia. A lot of effort has been made to improve the prognosis of AML. However, the situation remains serious. Hence, we focused on the study of prognostic genes in AML. Materials and Methods: Prognostic oxidative stress genes were screened out. The gene expression profile of AML patients was downloaded from the The Cancer Genome Atlas (TCGA) database. The oxidative stress-related model was constructed, by which the prognosis of AML patients was predicted using the two GEO GSE23143 datasets and the stability of the GSE71014 authentication model. Results: The prognostic oxidative stress genes were screened out in AML, and the prognostic genes were significantly enriched in a large number of pathways based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. There was a complex interaction between prognostic genes and transcription factors. After constructing the prediction model, the clinical predictive value of the model was discussed in a multi-omic study. We investigated the sensitivity of risk score to common chemotherapeutic agents, the influence of signaling pathways on the prognosis of AML patients, and the correlation of multiple genes with immune score and immune dysfunction. Conclusions: A highly effective prognostic risk model for AML patients was established and validated. The association of prognostic oxidative stress genes with drug sensitivity, signaling pathways, and immune infiltration was explored. The results suggested that oxidative stress genes promised to be potential prognostic biomarkers for AML, which may provide a new basis for disease management.", "claims": [{"id": "claim-method", "statement": "Lasso regression was used to construct the prognostic model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34659343", "locator": "sections[5] \"Model Construction and Prognosis\" paragraph 2", "quote": "Lasso regression was used to construct the prognostic model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34659343", "locator": "sections[26] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "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:34659343"], "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:GSE23143"], "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:GSE23143"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34659343", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2021.722064", "sha256": "sha256:65cb4557e0107babf3c12dbedf3c31958dcc8b0eefeb47b4648398403e7f2d88", "bytes": 44719, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2021.722064", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8514868", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE23143", "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=GSE23143", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE23143", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM515705", "GSM515707", "GSM515708", "GSM515709", "GSM515710", "GSM515713", "GSM515714", "GSM515715", "GSM515717", "GSM515719", "GSM515720", "GSM515722", "GSM515723", "GSM515724", "GSM515725", "GSM515727", "GSM515728", "GSM515731", "GSM515736", "GSM515737", "GSM515738", "GSM515739", "GSM515740", "GSM515741", "GSM515743", "GSM515745", "GSM515746", "GSM515747", "GSM515748", "GSM515749", "GSM515750", "GSM515752", "GSM515753", "GSM515754", "GSM515755", "GSM515756", "GSM515757", "GSM515760", "GSM515764", "GSM515767", "GSM515768", "GSM515770", "GSM515771", "GSM515773", "GSM515776", "GSM515780", "GSM515782", "GSM515783", "GSM515785", "GSM515786", "GSM515790", "GSM515791", "GSM515794", "GSM515795", "GSM515797", "GSM515798", "GSM515800", "GSM515801", "GSM515803", "GSM515804", "GSM515805", "GSM515806", "GSM515807", "GSM515809", "GSM515810", "GSM515811", "GSM515812", "GSM515813", "GSM515816", "GSM515817", "GSM515820", "GSM515821", "GSM515823", "GSM515827", "GSM515828", "GSM515832", "GSM515833", "GSM515835", "GSM515836", "GSM515838", "GSM515840", "GSM515841", "GSM515842", "GSM515843", "GSM515844", "GSM515848", "GSM515851", "GSM515856", "GSM515858", "GSM515861", "GSM515869", "GSM515870", "GSM515871", "GSM515872", "GSM515873", "GSM515875", "GSM515876", "GSM515877", "GSM515878", "GSM515880", "GSM515881", "GSM515884", "GSM515885", "GSM515886", "GSM515887", "GSM515888", "GSM515891", "GSM515893", "GSM515895", "GSM515896", "GSM515897", "GSM515901", "GSM515902", "GSM515903", "GSM515904", "GSM515905", "GSM515906", "GSM515907", "GSM515910", "GSM515911", "GSM515912", "GSM515913", "GSM515914", "GSM515915", "GSM515917", "GSM515918", "GSM515920", "GSM515921", "GSM515922", "GSM515923", "GSM515924", "GSM515925", "GSM515927", "GSM515928", "GSM515929", "GSM515930", "GSM515933", "GSM515934", "GSM515935", "GSM515939", "GSM515940", "GSM515942", "GSM515943", "GSM515944", "GSM515945", "GSM515947", "GSM515949", "GSM515951", "GSM515960", "GSM515962", "GSM515964", "GSM515970", "GSM515971", "GSM515972", "GSM515973", "GSM515976", "GSM515978", "GSM515979", "GSM515981", "GSM515984", "GSM515986", "GSM515991", "GSM515996", "GSM515997", "GSM515998", "GSM515999", "GSM516000", "GSM516001", "GSM516003", "GSM516004", "GSM516005", "GSM516008", "GSM516009", "GSM516010", "GSM516011", "GSM516012", "GSM516013", "GSM516015", "GSM516018", "GSM516021", "GSM516022", "GSM516023", "GSM516025", "GSM516026", "GSM516027", "GSM516028", "GSM516030", "GSM516032", "GSM516036", "GSM516037", "GSM516038", "GSM516040", "GSM516041", "GSM516044", "GSM516047", "GSM516049", "GSM516050", "GSM516051", "GSM516056", "GSM516059", "GSM516061", "GSM516062", "GSM516063", "GSM516064", "GSM516066", "GSM516067", "GSM516068", "GSM516069", "GSM516071", "GSM516072", "GSM516073", "GSM516074", "GSM516075", "GSM516076", "GSM516077", "GSM516079", "GSM516080", "GSM516082", "GSM516085", "GSM516086", "GSM516087", "GSM516088", "GSM516089", "GSM516090", "GSM516419", "GSM516421", "GSM516423", "GSM516425", "GSM516427", "GSM516429", "GSM516430", "GSM516432", "GSM516433", "GSM516434", "GSM516435", "GSM516436", "GSM516438", "GSM516440", "GSM516441", "GSM516443", "GSM516445", "GSM516446", "GSM516447", "GSM516448", "GSM516449", "GSM516450", "GSM516451", "GSM516452", "GSM516453", "GSM516457", "GSM516458", "GSM516459", "GSM516460"], "sample_count": 253, "group_sizes": null, "group_sizes_basis": null, "platform": "8650;8653;8652;8651;8654", "taxon": "Homo sapiens", "title": "Common and overlapping oncogenic pathways contribute to the evolution of acute myeloid leukemias.", "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:GSE71014", "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=GSE71014", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE71014", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1825455", "GSM1825456", "GSM1825457", "GSM1825458", "GSM1825459", "GSM1825460", "GSM1825461", "GSM1825462", "GSM1825463", "GSM1825464", "GSM1825465", "GSM1825466", "GSM1825467", "GSM1825468", "GSM1825469", "GSM1825470", "GSM1825471", "GSM1825472", "GSM1825473", "GSM1825474", "GSM1825475", "GSM1825476", "GSM1825477", "GSM1825478", "GSM1825479", "GSM1825480", "GSM1825481", "GSM1825482", "GSM1825483", "GSM1825484", "GSM1825485", "GSM1825486", "GSM1825487", "GSM1825488", "GSM1825489", "GSM1825490", "GSM1825491", "GSM1825492", "GSM1825493", "GSM1825494", "GSM1825495", "GSM1825496", "GSM1825497", "GSM1825498", "GSM1825499", "GSM1825500", "GSM1825501", "GSM1825502", "GSM1825503", "GSM1825504", "GSM1825505", "GSM1825506", "GSM1825507", "GSM1825508", "GSM1825509", "GSM1825510", "GSM1825511", "GSM1825512", "GSM1825513", "GSM1825514", "GSM1825515", "GSM1825516", "GSM1825517", "GSM1825518", "GSM1825519", "GSM1825520", "GSM1825521", "GSM1825522", "GSM1825523", "GSM1825524", "GSM1825525", "GSM1825526", "GSM1825527", "GSM1825528", "GSM1825529", "GSM1825530", "GSM1825531", "GSM1825532", "GSM1825533", "GSM1825534", "GSM1825535", "GSM1825536", "GSM1825537", "GSM1825538", "GSM1825539", "GSM1825540", "GSM1825541", "GSM1825542", "GSM1825543", "GSM1825544", "GSM1825545", "GSM1825546", "GSM1825547", "GSM1825548", "GSM1825549", "GSM1825550", "GSM1825551", "GSM1825552", "GSM1825553", "GSM1825554", "GSM1825555", "GSM1825556", "GSM1825557", "GSM1825558"], "sample_count": 104, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "An mRNA Expression Signature for Prognostication in De Novo Acute Myeloid Leukemia Patients with Normal Karyotype", "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:GSE23143 not downloaded", "asset:data:geo:GSE23143 licence not read", "asset:data:geo:GSE71014 not downloaded", "asset:data:geo:GSE71014 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": 0.8, "band": "high", "quote": "KM"}}, {"id": "method-2", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "log-rank"}}, {"id": "method-3", "family": "correlation_analysis", "specific": "spearman", "label": "Correlation analysis", "dsl_operations": ["spearman_rho"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Spearman correlation"}}, {"id": "method-4", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "GO enrichment"}}, {"id": "method-5", "family": null, "specific": null, "label": "Lasso regression", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Lasso regression was used to construct the prognostic model."}}], "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": ["GSE23143", "GSE71014"], "resolved_accessions": ["GSE23143", "GSE71014"], "statements": ["The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s."], "basis": "The paper names GSE23143, GSE71014 in NCBI GEO public database 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:34659343", "data:geo:GSE23143"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE23143"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:04:09Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 11785, "completion_tokens": 1176, "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:34659343", "type": "paper", "label": "pmid:34659343"}, {"id": "source:pmid:34659343", "type": "manuscript", "label": "PMID 34659343 full text"}, {"id": "data:geo:GSE23143", "type": "dataset", "label": "GEO GSE23143"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34659343", "type": "paper", "label": "pmid:34659343"}, {"id": "source:pmid:34659343", "type": "manuscript", "label": "PMID 34659343 full text"}, {"id": "data:geo:GSE23143", "type": "dataset", "label": "GEO GSE23143"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34659343", "type": "extraction", "used": ["source:pmid:34659343"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE23143", "type": "accession_resolution", "used": ["data:geo:GSE23143"], "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:34659343", "parent_hash": "sha256:23b55af72cad40590361cc11bfebd84599f522ec5b5fd80d3b920ee039e2871b", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE23143 licence not read", "asset:data:geo:GSE23143 not downloaded", "asset:data:geo:GSE71014 licence not read", "asset:data:geo:GSE71014 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["CIBERSORT algorithm was used to analyze the RNA-seq data of AML patients in different subgroups"], "order_basis": "paper_text_order:1930", "id": "assay:1"}, {"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": 0.8, "evidence": ["KM"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}