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pmid:33649342

Development of a poor-prognostic-mutations derived immune prognostic model for acute myeloid leukemia.

Feng-Ting Dao · Jun Wang · Lu Yang · Ya-Zhen Qin

Scientific reports · 2021 doi:10.1038/s41598-021-84190-0

Paper

complete

Experiment

complete

Data

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Analysis

complete

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title
Development of a poor-prognostic-mutations derived immune prognostic model for acute myeloid leukemia.
doi
10.1038/s41598-021-84190-0
pmid
33649342
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Feng-Ting Dao
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Jun Wang
[2]
Lu Yang
[3]
Ya-Zhen Qin
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Scientific reports
year
2021
abstract
Leukemia cell-intrinsic somatic mutations and cytogenetic abnormalities have been used to define risk categories in acute myeloid leukemia (AML). In addition, since the immune microenvironment might influence prognosis and somatic mutations have been demonstrated to modulate the immune microenvironment in AML, there is need for developing and evaluating an immune prognostic model (IPM) derived from mutations associated with poor prognosis. Based on AML cases with intermediate and adverse-cytogenetic risk in the Cancer Genome Atlas (TCGA) database, 64 immune-related differentially expressed genes (DEGs) among patients with RUNX1, TP53, or ASXL1 mutations and patients without these mutations were identified. After Cox proportional hazards analysis, an IPM composed of PYCARD and PEAR1 genes was constructed. IPM defined high-risk (IPM-HR) independently predicted lower 2-year overall survival (OS) rates in both patients with intermediate and adverse-cytogenetic risks and non-M3 patients in the TCGA AML cohort. The poor prognostic impact of IPM-HR on OS was further validated by GSE71014, 37642, and 10358 downloaded from the Gene Expression Omnibus (GEO) database. Furthermore, IPM-HR was remarkably associated with higher proportions of CD8+ T cells and regulatory T cells (Tregs), lower proportions of eosinophils, and higher expression of the checkpoint molecules CTLA-4, PD-1, and LAG3 in the TCGA non-M3 AML cohort. In summary, we developed and validated an IPM derived from mutations related with poor prognosis in AML, which would provide new biomarkers for patient stratification and personalized immunotherapy.
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Survival functions were estimated using the Kaplan–Meier method and compared using the log-rank test.
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The somatic mutation status (workflow type: VarScan2 Variant Aggregation and Masking), transcriptional profiles, and the corresponding clinical and overall survival (OS) data of 173 AML patients were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/).
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The somatic mutation status (workflow type: VarScan2 Variant Aggregation and Masking), transcriptional profiles, and the corresponding clinical and overall survival (OS) data of 173 AML patients were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/).
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[867]
GSM924463
[868]
GSM924464
[869]
GSM924465
[870]
GSM924466
[871]
GSM924467
[872]
GSM924468
[873]
GSM924469
[874]
GSM924470
[875]
GSM924471
[876]
GSM924472
[877]
GSM924473
[878]
GSM924474
[879]
GSM924475
[880]
GSM924476
[881]
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[882]
GSM924478
[883]
GSM924479
[884]
GSM924480
[885]
GSM924481
[886]
GSM924482
[887]
GSM924483
[888]
GSM924484
[889]
GSM924485
[890]
GSM924486
[891]
GSM924487
[892]
GSM924488
[893]
GSM924489
[894]
GSM924490
[895]
GSM924491
[896]
GSM924492
[897]
GSM924493
[898]
GSM924494
[899]
GSM924495
[900]
GSM924496
[901]
GSM924497
[902]
GSM924498
[903]
GSM924499
[904]
GSM924500
[905]
GSM924501
[906]
GSM924502
[907]
GSM924503
[908]
GSM924504
[909]
GSM924505
[910]
GSM924506
[911]
GSM924507
[912]
GSM924508
[913]
GSM924509
[914]
GSM924510
[915]
GSM924511
[916]
GSM924512
[917]
GSM924513
[918]
GSM924514
[919]
GSM924515
[920]
GSM924516
[921]
GSM924517
[922]
GSM924518
[923]
GSM924519
[924]
GSM924520
[925]
GSM924521
[926]
GSM924522
[927]
GSM924523
[928]
GSM924524
[929]
GSM924525
[930]
GSM924526
[931]
GSM924527
[932]
GSM924528
[933]
GSM924529
[934]
GSM924530
[935]
GSM924531
[936]
GSM924532
[937]
GSM924533
[938]
GSM924534
[939]
GSM924535
[940]
GSM924536
[941]
GSM924537
[942]
GSM924538
[943]
GSM924539
[944]
GSM924540
[945]
GSM924541
[946]
GSM924542
[947]
GSM924543
[948]
GSM924544
[949]
GSM924545
[950]
GSM924546
[951]
GSM924547
[952]
GSM924548
[953]
GSM924549
[954]
GSM924550
[955]
GSM924551
[956]
GSM924552
[957]
GSM924553
[958]
GSM924554
[959]
GSM924555
[960]
GSM924556
[961]
GSM924557
[962]
GSM924558
[963]
GSM924559
[964]
GSM924560
[965]
GSM924561
[966]
GSM924562
[967]
GSM924563
[968]
GSM924564
[969]
GSM924565
[970]
GSM924566
[971]
GSM924567
[972]
GSM924568
[973]
GSM924569
[974]
GSM924570
[975]
GSM924571
[976]
GSM924572
[977]
GSM924573
[978]
GSM924574
[979]
GSM924575
[980]
GSM924576
[981]
GSM924577
[982]
GSM924578
[983]
GSM924579
sample_count
984
group_sizes
null
group_sizes_basis
null
platform
570;96;97
taxon
Homo sapiens
title
Prognostic gene signature for AML
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: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 somatic mutation status (workflow type: VarScan2 Variant Aggregation and Masking), transcriptional profiles, and the corresponding clinical and overall survival (OS) data of 173 AML patients were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The somatic mutation status (workflow type: VarScan2 Variant Aggregation and Masking), transcriptional profiles, and the corresponding clinical and overall survival (OS) data of 173 AML patients were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/).
access_statement_kind
repository_route_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
[4] object · 16 fields
id
asset:table:pmid:33649342:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:801f57dc005af3a454e0be38f6fbe1f9f6a5f81a878ab9525a2ab3d04625a022
bytes
1130
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[7]/table-wrap[1]#Tab1
version
null
note
Independent prognostic factors for OS of AML patients in TCGA cohort.
structure object · 5 fields
pmcid
PMC7921432
section_index
7
section_title
IPM-defined risk independently predicted poor outcomes in the TCGA cohort
row_count
17
column_count
7
table object · 8 fields
label
Table 1
caption
Independent prognostic factors for OS of AML patients in TCGA cohort.
rows array · 17 items
[0] array · 3 items
[0]
[1]
AML patients with intermediate and adverse-cytogenetic risk
[2]
Non-M3 AML patients
[1] array · 6 items
[0]
No. of patients
[1]
HR(95%CI)
[2]
P value
[3]
No. of patients
[4]
HR(95%CI)
[5]
P value
[2] array · 7 items
[0]
IPM
[1]
[2]
[3]
[4]
[5]
[6]
[3] array · 7 items
[0]
IPM-LR
[1]
87
[2]
1.00
[3]
< 0.0001
[4]
104
[5]
1.00
[6]
< 0.0001
[4] array · 5 items
[0]
IPM-HR
[1]
20
[2]
3.22 (1.71–6.05)
[3]
22
[4]
3.40 (1.84–6.27)
[5] array · 7 items
[0]
Age
[1]
[2]
[3]
[4]
[5]
[6]
[6] array · 7 items
[0]
Age < 60y
[1]
52
[2]
1.00
[3]
0.040
[4]
60
[5]
1.00
[6]
0.030
[7] array · 5 items
[0]
Age ≥ 60y
[1]
55
[2]
1.71 (1.03–2.85)
[3]
66
[4]
1.72 (1.06–2.81)
[8] array · 7 items
[0]
TP53
[1]
[2]
[3]
[4]
[5]
[6]
[9] array · 7 items
[0]
Wild type
[1]
97
[2]
1.00
[3]
0.001
[4]
114
[5]
1.00
[6]
< 0.0001
[10] array · 5 items
[0]
Mutation
[1]
10
[2]
4.05 (1.82–9.0)
[3]
10
[4]
4.26 (2.0–9.06)
[11] array · 7 items
[0]
FLT3-ITD
[1]
[2]
[3]
[4]
[5]
[6]
[12] array · 7 items
[0]
( −)
[1]
86
[2]
1.00
[3]
0.033
[4]
99
[5]
1.00
[6]
0.027
[13] array · 5 items
[0]
( +)
[1]
21
[2]
1.94 (1.06–3.58)
[3]
25
[4]
1.95 (1.08–3.52)
[14] array · 7 items
[0]
DNMT3A
[1]
[2]
[3]
[4]
[5]
[6]
[15] array · 7 items
[0]
Wild type
[1]
74
[2]
1.00
[3]
0.006
[4]
90
[5]
1.00
[6]
0.006
[16] array · 7 items
[0]
Mutation
[1]
33
[2]
2.07 (1.23–3.48)
[3]
[4]
34
[5]
2.08 (1.24–3.50)
[6]
locator
section[7]/table-wrap[1]#Tab1
gaps array · 6 items
[0]
asset:data:geo:GSE10358 not downloaded
[1]
asset:data:geo:GSE10358 licence not read
[2]
asset:data:geo:GSE37642 not downloaded
[3]
asset:data:geo:GSE37642 licence not read
[4]
asset:data:geo:GSE71014 not downloaded
[5]
asset:data:geo:GSE71014 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
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
1
band
verbatim
quote
Survival functions were estimated using the Kaplan–Meier method and compared using the log-rank test.
[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 proportional hazards
[2] object · 10 fields
id
method-3
family
sequence_alignment
specific
blast
label
Sequence alignment / homology
dsl_operations array · 2 items
[0]
sequence_align
[1]
alignment_identity
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
sequence_records
evidence object · 3 fields
score
0.8
band
high
quote
blast
[3] object · 10 fields
id
method-4
family
contingency_analysis
specific
fisher_exact
label
Categorical (contingency table) analysis
dsl_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
Fisher's exact
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
logrank_test
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: log_rank_test.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 3 items
[0]
GSE71014
[1]
GSE37642
[2]
GSE10358
resolved_accessions array · 3 items
[0]
GSE71014
[1]
GSE37642
[2]
GSE10358
statements array · 1 item
[0]
The somatic mutation status (workflow type: VarScan2 Variant Aggregation and Masking), transcriptional profiles, and the corresponding clinical and overall survival (OS) data of 173 AML patients were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/).
basis
The paper names GSE71014, GSE37642, GSE10358 in Gene Expression Omnibus (GEO) 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]
logrank_test
assets array · 3 items
[0]
source:pmid:33649342
[1]
data:geo:GSE10358
[2]
asset:table:pmid:33649342:1
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:GSE10358
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:27:31Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
35632
completion_tokens
2540
cached_tokens
784
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:33649342
type
paper
label
pmid:33649342
[1] object · 3 fields
id
source:pmid:33649342
type
manuscript
label
PMID 33649342 full text
[2] object · 3 fields
id
data:geo:GSE10358
type
dataset
label
GEO GSE10358
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:33649342
type
paper
label
pmid:33649342
[1] object · 3 fields
id
source:pmid:33649342
type
manuscript
label
PMID 33649342 full text
[2] object · 3 fields
id
data:geo:GSE10358
type
dataset
label
GEO GSE10358
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33649342
type
extraction
used array · 1 item
[0]
source:pmid:33649342
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE10358
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE10358
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:33649342
parent_hash
sha256:ad7c7cf78d1920323d62fc1675b1d63ed127d504faf46ec93ffe1dc0161e3b99
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE10358 licence not read
[1]
asset:data:geo:GSE10358 not downloaded
[2]
asset:data:geo:GSE37642 licence not read
[3]
asset:data:geo:GSE37642 not downloaded
[4]
asset:data:geo:GSE71014 licence not read
[5]
asset:data:geo:GSE71014 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
logrank_test
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Survival functions were estimated using the Kaplan–Meier method and compared using the log-rank test.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33649342", "kind": "science-record", "revision": 8, "content_hash": "sha256:a2a5c049507df2b06db70ba59669521d948a4429b3c4521c9c07f7125c7d47cf", "created_at": "2026-11-01T15:41:26Z", "updated_at": "2026-11-01T22:03:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development of a poor-prognostic-mutations derived immune prognostic model for acute myeloid leukemia.", "doi": "10.1038/s41598-021-84190-0", "pmid": "33649342", "authors": ["Feng-Ting Dao", "Jun Wang", "Lu Yang", "Ya-Zhen Qin"], "journal": "Scientific reports", "year": 2021, "abstract": "Leukemia cell-intrinsic somatic mutations and cytogenetic abnormalities have been used to define risk categories in acute myeloid leukemia (AML). In addition, since the immune microenvironment might influence prognosis and somatic mutations have been demonstrated to modulate the immune microenvironment in AML, there is need for developing and evaluating an immune prognostic model (IPM) derived from mutations associated with poor prognosis. Based on AML cases with intermediate and adverse-cytogenetic risk in the Cancer Genome Atlas (TCGA) database, 64 immune-related differentially expressed genes (DEGs) among patients with RUNX1, TP53, or ASXL1 mutations and patients without these mutations were identified. After Cox proportional hazards analysis, an IPM composed of PYCARD and PEAR1 genes was constructed. IPM defined high-risk (IPM-HR) independently predicted lower 2-year overall survival (OS) rates in both patients with intermediate and adverse-cytogenetic risks and non-M3 patients in the TCGA AML cohort. The poor prognostic impact of IPM-HR on OS was further validated by GSE71014, 37642, and 10358 downloaded from the Gene Expression Omnibus (GEO) database. Furthermore, IPM-HR was remarkably associated with higher proportions of CD8+ T cells and regulatory T cells (Tregs), lower proportions of eosinophils, and higher expression of the checkpoint molecules CTLA-4, PD-1, and LAG3 in the TCGA non-M3 AML cohort. In summary, we developed and validated an IPM derived from mutations related with poor prognosis in AML, which would provide new biomarkers for patient stratification and personalized immunotherapy.", "claims": [{"id": "claim-method", "statement": "Survival functions were estimated using the Kaplan–Meier method and compared using the log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33649342", "locator": "sections[18] \"Statistical analysis\" paragraph 2", "quote": "Survival functions were estimated using the Kaplan–Meier method and compared using the log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The somatic mutation status (workflow type: VarScan2 Variant Aggregation and Masking), transcriptional profiles, and the corresponding clinical and overall survival (OS) data of 173 AML patients were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33649342", "locator": "sections[12] \"Database\" paragraph 2", "quote": "The somatic mutation status (workflow type: VarScan2 Variant Aggregation and Masking), transcriptional profiles, and the corresponding clinical and overall survival (OS) data of 173 AML patients were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:33649342"], "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:GSE10358"], "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:GSE10358"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33649342", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1038/s41598-021-84190-0", "sha256": 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