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pmid:39911153

Construction of a lung adenocarcinoma prognostic model based on KEAP1/NRF2/HO‑1 mutation‑mediated upregulated genes and bioinformatic analysis.

Oncology letters · 2025 doi:10.3892/ol.2025.14902

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:39911153
kind
science-record
content_hash
sha256:5c2b6a8787485cd7c40e9a3f293acbe0bee20b1ebdf445d89a77573c48dc260e
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:49Z
updated_at
2026-11-01T14:01:33Z
generator object · 3 fields
name
corpus-assay-engine
converter
sep_to_sci_v1
source_package_schema
urn:bntrg:sep:1.0.0
paper object · 10 fields
state
partial
title
Construction of a lung adenocarcinoma prognostic model based on KEAP1/NRF2/HO‑1 mutation‑mediated upregulated genes and bioinformatic analysis.
doi
10.3892/ol.2025.14902
pmid
39911153
authors
null
journal
Oncology letters
year
2025
abstract
null
claims array · 1 item
[0] object · 6 fields
id
claim-1
statement
the headline numerical result the paper states for its main finding
kind
quantitative
state
complete
target object · 4 fields
value
1.038
unit
hazard ratio
tolerance
null
source
chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39911153
locator
chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
quote
Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).
gaps array · 2 items
[0]
abstract
[1]
authors
experiment object · 8 fields
state
partial
objective
the headline numerical result the paper states for its main finding
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate and its interval from the source
kind
other
state
complete
blocked_on
null
description
The number a replication must land on, and the sentence it came from.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:39911153
outputs array · 1 item
[0]
the published estimate, its unit and its interval
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data behind the published result
kind
data-preparation
state
blocked
blocked_on
data:not_downloaded
description
The published result cannot be recomputed without the data the paper analysed.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the source data with its provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the analysis programme
kind
analysis
state
blocked
blocked_on
no owned computational capability is bound to this experiment
description
Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:39911153
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the registered result
instruments array · 0 items
reagents array · 0 items
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instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 3 items
[0]
step:obtain_source_data blocked on data:not_downloaded
[1]
step:run_analysis blocked on no owned computational capability is bound to this experiment
[2]
step:run_analysis input 'materials:the source data behind the published result in pmid:39911153' does not resolve to a declared asset
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:39911153
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3892/ol.2025.14902
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sha256:9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
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identifier
10.3892/ol.2025.14902
version
null
note
Source read by the package builder: full_text.
structure object · 1 field
access_state
full_text
[1] object · 16 fields
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asset:table:pmid:39911153:1
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null
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section[13]/table-wrap[1]#tI-ol-29-3-14902
version
null
note
Association between KEAP1/NRF2/HO-1 expression and clinicopathological features in lung adenocarcinoma.
structure object · 5 fields
pmcid
PMC11795234
section_index
13
section_title
Association between KEAP, NRF2 and HO-1 expression and clinicopathology
row_count
67
column_count
4
table object · 8 fields
label
Table I.
caption
Association between KEAP1/NRF2/HO-1 expression and clinicopathological features in lung adenocarcinoma.
rows array · 67 items
[0] array · 1 item
[0]
A, KEAP1 expression
[1] array · 1 item
[0]
[2] array · 4 items
[0]
Clinicopathological feature
[1]
Positive (n=72)
[2]
Negative (n=32)
[3]
P-value
[3] array · 4 items
[0]
Age, years
[1]
66.04±11.58
[2]
67.78±11.15
[3]
0.47
[4] array · 4 items
[0]
Sex
[1]
[2]
[3]
0.80
[5] array · 4 items
[0]
Female
[1]
44
[2]
18
[3]
[6] array · 4 items
[0]
Male
[1]
28
[2]
14
[3]
[7] array · 4 items
[0]
T stage
[1]
[2]
[3]
0.06
[8] array · 4 items
[0]
T1-2
[1]
62
[2]
32
[3]
[9] array · 4 items
[0]
T3-4
[1]
10
[2]
0
[3]
[10] array · 4 items
[0]
N stage
[1]
[2]
[3]
0.50
[11] array · 4 items
[0]
N0
[1]
50
[2]
25
[3]
[12] array · 4 items
[0]
N1-3
[1]
22
[2]
7
[3]
[13] array · 4 items
[0]
M stage
[1]
[2]
[3]
0.09
[14] array · 4 items
[0]
M0
[1]
63
[2]
32
[3]
[15] array · 4 items
[0]
M1
[1]
9
[2]
0
[3]
[16] array · 4 items
[0]
TNM stage
[1]
[2]
[3]
0.12
[17] array · 4 items
[0]
I–II
[1]
54
[2]
29
[3]
[18] array · 4 items
[0]
III–IV
[1]
18
[2]
3
[3]
[19] array · 4 items
[0]
Tumor diameter, cm
[1]
2.01±1.44
[2]
2.10±1.03
[3]
0.72
[20] array · 4 items
[0]
Ki-67 expression ratio, %
[1]
41±15
[2]
39±13
[3]
0.37
[21] array · 1 item
[0]
[22] array · 1 item
[0]
B, NRF2 expression
[23] array · 1 item
[0]
[24] array · 4 items
[0]
Clinicopathological feature
[1]
Positive (n=58)
[2]
Negative (n=46)
[3]
P-value
[25] array · 1 item
[0]
[26] array · 4 items
[0]
Age, years
[1]
68.38±11.57
[2]
64.30±10.93
[3]
0.07
[27] array · 4 items
[0]
Sex
[1]
[2]
[3]
0.44
[28] array · 4 items
[0]
Female
[1]
37
[2]
25
[3]
[29] array · 4 items
[0]
Male
[1]
21
[2]
21
[3]
[30] array · 4 items
[0]
T stage
[1]
[2]
[3]
<0.01
[31] array · 4 items
[0]
T1-2
[1]
48
[2]
46
[3]
[32] array · 4 items
[0]
T3-4
[1]
10
[2]
0
[3]
[33] array · 4 items
[0]
N stage
[1]
[2]
[3]
<0.01
[34] array · 4 items
[0]
N0
[1]
34
[2]
41
[3]
[35] array · 4 items
[0]
N1-3
[1]
24
[2]
5
[3]
[36] array · 4 items
[0]
M stage
[1]
[2]
[3]
0.01
[37] array · 4 items
[0]
M0
[1]
49
[2]
46
[3]
[38] array · 4 items
[0]
M1
[1]
9
[2]
0
[3]
[39] array · 4 items
[0]
TNM stage
[1]
[2]
[3]
<0.001
[40] array · 4 items
[0]
I–II
[1]
39
[2]
44
[3]
[41] array · 4 items
[0]
III–IV
[1]
19
[2]
2
[3]
[42] array · 4 items
[0]
Tumor diameter, cm
[1]
2.52±1.50
[2]
1.43±0.68
[3]
<0.001
[43] array · 4 items
[0]
Ki-67 expression ratio, %
[1]
46±15
[2]
34±10
[3]
<0.001
[44] array · 1 item
[0]
[45] array · 1 item
[0]
C, HO-1 expression
[46] array · 1 item
[0]
[47] array · 4 items
[0]
Clinicopathological feature
[1]
Positive (n=63)
[2]
Negative (n=41)
[3]
P-value
[48] array · 1 item
[0]
[49] array · 4 items
[0]
Age, years
[1]
68.00±11.24
[2]
64.39±11.49
[3]
0.12
[50] array · 4 items
[0]
Sex
[1]
[2]
[3]
0.21
[51] array · 4 items
[0]
Female
[1]
34
[2]
28
[3]
[52] array · 4 items
[0]
Male
[1]
29
[2]
13
[3]
[53] array · 4 items
[0]
T stage
[1]
[2]
[3]
0.02
[54] array · 4 items
[0]
T1-2
[1]
53
[2]
41
[3]
[55] array · 4 items
[0]
T3-4
[1]
10
[2]
0
[3]
[56] array · 4 items
[0]
N stage
[1]
[2]
[3]
<0.001
[57] array · 4 items
[0]
N0
[1]
36
[2]
39
[3]
[58] array · 4 items
[0]
N1-3
[1]
27
[2]
2
[3]
[59] array · 4 items
[0]
M stage
[1]
[2]
[3]
0.03
[60] array · 4 items
[0]
M0
[1]
54
[2]
41
[3]
[61] array · 4 items
[0]
M1
[1]
9
[2]
0
[3]
[62] array · 4 items
[0]
TNM stage
[1]
[2]
[3]
<0.001
[63] array · 4 items
[0]
I–II
[1]
42
[2]
41
[3]
[64] array · 4 items
[0]
III–IV
[1]
21
[2]
0
[3]
[65] array · 4 items
[0]
Tumor diameter, cm
[1]
2.43±1.50
[2]
1.42±0.64
[3]
<0.001
[66] array · 4 items
[0]
Ki-67 expression ratio, %
[1]
45±15
[2]
33±9
[3]
<0.001
locator
section[13]/table-wrap[1]#tI-ol-29-3-14902
gaps array · 1 item
[0]
asset:source:pmid:39911153 not verified
analysis object · 4 fields
state
absent
methods array · 0 items
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gaps array · 2 items
[0]
method
[1]
targets
capability object · 3 fields
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absent
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capability
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partial
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null
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null
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can_run object · 3 fields
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assets array · 2 items
[0]
source:pmid:39911153
[1]
asset:table:pmid:39911153:1
steps array · 1 item
[0]
read_published_estimate
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 1 item
[0]
xml
capabilities array · 0 items
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[0]
source:pmid:39911153
gaps array · 1 item
[0]
corpus_record_absent
review object · 5 fields
state
partial
machine_critique object · 7 fields
status
passed
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[0] object · 7 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
full-text-reading-v1
prompt_hash
3b1d6d51f2b9595f5da9f1ac3ed84bb5d73d2dec6cb2bc536088be76e3c69a0f
source_hash
9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
raw_response_sha256
sha256:4a1fa6b3936787367bfef92ceb1305f1cb92d7b09976beb6e32ef8355c894b27
raw_response_chars
4707
[1] object · 7 fields
provider
minimax_alt
model
MiniMax-M3
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prompt_hash
5df20dd263c1319d99297774e2d96a2e31e8edec8d274e87aa73e8a4578f7683
source_hash
9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
raw_response_sha256
sha256:dd33a2d55d0c0fa83e78f26d0cdf37001ca9135b8f9c557a96c6b0eefe025836
raw_response_chars
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target_providers array · 2 items
[0] object · 8 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
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abb5030bb0b7ff795d361e9ab82c84051f1d2eef333365ce3135ec1391e38619
source_hash
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raw_response
{"parent_value":1.038,"unit":"hazard ratio","evidence":"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).","target_result":"The risk score was an independent prognostic factor for patients with LUAD.","number_stated":true}
reading object · 6 fields
parent_value
1.038
unit
hazard ratio
evidence
Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).
target_result
The risk score was an independent prognostic factor for patients with LUAD.
number_stated
true
source_locator
chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
recorded_at
2026-10-31T15:22:58.435506+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
replication-target-v2
prompt_hash
296756d404aae8fb3f064f83f08b38d0bd1b1d66d9193b02c198c8ebfa51ae9b
source_hash
9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
raw_response
<think>We need answer JSON only. Need identify single numerical result replication registered target main finding. Source abstract headline numerical result likely hazard ratio 1.038, unit perhaps hazard ratio? Need exact contiguous quotation containing number and attribution. "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001)." Need headline number only value paper states, unit printed. parent_value 1.038, unit "hazard ratio" likely. Evidence exact quote perhaps whole clause/sentence. target_result maybe "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001)." But evidence itself exact quote. target_result perhaps concise statement. Need ensure only headline number. They demand evidence exact contiguous quotation contains number, don't shorten. We can quote entire sentence exactly. Unit paper prints "hazard ratio". Is unit field perhaps empty because HR dimensionless? But requirement unit must be unit paper prints. It prints "hazard ratio, 1.038". Could use "hazard ratio". Likely expected extraction format number 1.038, unit "hazard ratio". Let's formulate valid JSON. Ensure Unicode en dash in evidence. target_result can state perhaps "The risk score was an independent prognostic factor for patients with LUAD, with a hazard ratio of 1.038 (95% CI, 1.034–1.043; P&lt;0.001)." But this paraphrases and includes number? Fine target_result asks what text states. Yet avoid number duplication? They ask headline number only. Could say target_result exact sentence too, but then evidence duplicates. Usually output schema perhaps target_result textual. Need likely "hazard ratio of 1.038". Evidence exact contiguous quote. number_stated true. Could target_result be "The stated main numerical result is a hazard ratio of 1.038." But "single numerical result" means report headline number only likely output number and unit. They specifically request "Report the headline number only: the value..." Could target_result perhaps be "hazard ratio" or "1.038". Yet schema has parent_value, unit, evidence, target_result. Need fill target_result. Maybe "1.038" to conform headline number only. However target_result likely expected a textual conclusion. Let's parse wording: "Read ... find the single numerical result ... Report the headline number only: the value the paper itself states for the registered target, not a value you calculated... The unit must be the unit the paper prints. ... If text states no number ... leave ... and say in target_result what the text does state instead." This suggests when number stated, target_result likely can be description. "headline number only" means don't provide CI/P. We can put target_result "hazard ratio" or "1.038". Better perhaps target_result: "The stated hazard ratio is 1.038." But that repeats number and violates perhaps only? No, still only headline numeric result, no CI. Exact evidence: Could quote clause from abstract exactly. Ensure "hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001" contains additional numbers, and user asks evidence quote contains number, and "When text links them ... quote the whole clause so reader can check attribution". We should include whole sentence. Although they ask headline number only, evidence necessarily may include CI and P. That's okay because evidence requirement. Could use exact contiguous smaller clause that attaches HR to risk score: "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001)." That's whole sentence and includes ancillary results. They explicitly say exact quote, not shorten. This isn't shortening. Unit "hazard ratio". JSON escaping no issue. Need decide target_result. Could be exact wording too. Let's answer concise.</think> {"parent_value":1.038,"unit":"hazard ratio","evidence":"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).","target_result":"The stated hazard ratio is 1.038.","number_stated":true}
reading object · 6 fields
parent_value
1.038
unit
hazard ratio
evidence
Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).
target_result
The stated hazard ratio is 1.038.
number_stated
true
source_locator
chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82
recorded_at
2026-10-31T15:23:03.065835+00:00
agreement
true
disagreements object · 2 fields
physical_methods object · 3 fields
minimax array · 1 item
[0]
Immunohistochemistry
minimax_alt array · 1 item
[0]
Immunohistochemistry for KEAP1, NRF2, and HO-1 expression; the supplied text does not report physical validation of the risk-score hazard ratio.
decisive
false
analysis_methods object · 3 fields
minimax array · 6 items
[0]
Univariate Cox regression analysis
[1]
Multivariate Cox regression analysis
[2]
101 machine learning methods
[3]
Nomogram construction
[4]
Calibration curve analysis
[5]
Decision curve analysis
minimax_alt array · 13 items
[0]
limma differential-expression analysis
[1]
Venn diagram analysis
[2]
Univariate Cox regression analysis
[3]
Multivariate Cox regression analysis
[4]
101 machine learning methods
[5]
Nomogram construction
[6]
Calibration curve evaluation
[7]
Decision curve analysis
[8]
ImmuCellAI immune-cell infiltration analysis
[9]
oncoPredict immunotherapy and chemotherapy sensitivity analysis
[10]
Wilcoxon rank-sum test
[11]
χ2 test
[12]
Fisher's exact test
decisive
false
agreement_basis object · 2 fields
policy
decisive_fields
decisive_fields array · 4 items
[0]
work_type
[1]
number_stated
[2]
parent_value
[3]
unit
blinded
true
human_critique object · 5 fields
status
not_run
reviewer
null
signed_at
null
conflict_checked
false
commentary
null
stages array · 7 items
[0] object · 4 fields
key
target_materials
status
pending
reason
null
evidence
null
[1] object · 4 fields
key
independent_readings
status
passed
reason
The independent readings are incomplete or disagree; the source evidence must resolve the difference.
evidence object · 1 field
provider_errors array · 0 items
[2] object · 4 fields
key
source_resolution
status
pending
reason
null
evidence
null
[3] object · 4 fields
key
protocol_reconstruction
status
pending
reason
null
evidence
null
[4] object · 4 fields
key
control_execution
status
pending
reason
null
evidence
null
[5] object · 4 fields
key
control_comparison
status
pending
reason
null
evidence
null
[6] object · 4 fields
key
publication
status
pending
reason
null
evidence
null
gaps array · 2 items
[0]
review.human_critique
[1]
review.machine_critique.passed
execution object · 5 fields
state
absent
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not_run
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null
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gaps array · 1 item
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execution.not_run
provenance object · 7 fields
entities array · 1 item
[0] object · 3 fields
id
package:22a37205b50fa87aa008e248b7320d8c4d97d2051d35a348a173a2e6ae8e73ed
type
sep_package
label
SEP v1 package for pmid:39911153
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:39911153
type
conversion
used array · 1 item
[0]
package:22a37205b50fa87aa008e248b7320d8c4d97d2051d35a348a173a2e6ae8e73ed
agent
agent:corpus-assay-engine
agents array · 3 items
[0] object · 3 fields
id
agent:minimax
type
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minimax
[1] object · 3 fields
id
agent:minimax_alt
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model
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minimax_alt
[2] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
source_run_id
run-20261023T122449232913
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:39911153
parent_hash
sha256:94295a5f38f78e5856b492ad0b79bcce3ede285cc9f3fb05d6c1d101239ed338
fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:39911153 not verified
[2]
authors
[3]
capability
[4]
corpus_record_absent
[5]
execution.not_run
[6]
method
[7]
review.human_critique
[8]
review.machine_critique.passed
[9]
step:obtain_source_data blocked on data:not_downloaded
[10]
step:run_analysis blocked on no owned computational capability is bound to this experiment
[11]
step:run_analysis input 'materials:the source data behind the published result in pmid:39911153' does not resolve to a declared asset
[12]
targets
Complete file
{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39911153", "kind": "science-record", "revision": 2, "content_hash": "sha256:5c2b6a8787485cd7c40e9a3f293acbe0bee20b1ebdf445d89a77573c48dc260e", "created_at": "2026-11-01T10:25:49Z", "updated_at": "2026-11-01T14:01:33Z", "generator": {"name": "corpus-assay-engine", "converter": "sep_to_sci_v1", "source_package_schema": "urn:bntrg:sep:1.0.0"}, "paper": {"state": "partial", "title": "Construction of a lung adenocarcinoma prognostic model based on KEAP1/NRF2/HO‑1 mutation‑mediated upregulated genes and bioinformatic analysis.", "doi": "10.3892/ol.2025.14902", "pmid": "39911153", "authors": null, "journal": "Oncology letters", "year": 2025, "abstract": null, "claims": [{"id": "claim-1", "statement": "the headline numerical result the paper states for its main finding", "kind": "quantitative", "state": "complete", "target": {"value": 1.038, "unit": "hazard ratio", "tolerance": null, "source": "chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82"}, "evidence": [{"asset": "source:pmid:39911153", "locator": "chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82", "quote": "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001)."}]}], "gaps": ["abstract", "authors"]}, "experiment": {"state": "partial", "objective": "the headline numerical result the paper states for its main finding", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate and its interval from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The number a replication must land on, and the sentence it came from.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39911153"], "outputs": ["the published estimate, its unit and its interval"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data behind the published result", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:not_downloaded", "description": "The published result cannot be recomputed without the data the paper analysed.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the source data with its provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the analysis programme", "kind": "analysis", "state": "blocked", "blocked_on": "no owned computational capability is bound to this experiment", "description": "Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:39911153", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the registered result"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39911153' does not resolve to a declared asset"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39911153", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/ol.2025.14902", "sha256": "sha256:9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82", "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3892/ol.2025.14902", "version": null, "note": "Source read by the package builder: full_text.", "structure": {"access_state": "full_text"}}, {"id": "asset:table:pmid:39911153:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:3ded362e33cf86144936e1bed61aed617c683e55132f74b6b9c31e9f966113d2", "bytes": 2131, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#tI-ol-29-3-14902", "version": null, "note": "Association between KEAP1/NRF2/HO-1 expression and clinicopathological features in lung adenocarcinoma.", "structure": {"pmcid": "PMC11795234", "section_index": 13, "section_title": "Association between KEAP, NRF2 and HO-1 expression and clinicopathology", "row_count": 67, "column_count": 4}, "table": {"label": "Table I.", "caption": "Association between KEAP1/NRF2/HO-1 expression and clinicopathological features in lung adenocarcinoma.", "rows": [["A, KEAP1 expression"], [""], ["Clinicopathological feature", "Positive (n=72)", "Negative (n=32)", "P-value"], ["Age, years", "66.04±11.58", "67.78±11.15", "0.47"], ["Sex", "", "", "0.80"], ["Female", "44", "18", ""], ["Male", "28", "14", ""], ["T stage", "", "", "0.06"], ["T1-2", "62", "32", ""], ["T3-4", "10", "0", ""], ["N stage", "", "", "0.50"], ["N0", "50", "25", ""], ["N1-3", "22", "7", ""], ["M stage", "", "", "0.09"], ["M0", "63", "32", ""], ["M1", "9", "0", ""], ["TNM stage", "", "", "0.12"], ["I–II", "54", "29", ""], ["III–IV", "18", "3", ""], ["Tumor diameter, cm", "2.01±1.44", "2.10±1.03", "0.72"], ["Ki-67 expression ratio, %", "41±15", "39±13", "0.37"], [""], ["B, NRF2 expression"], [""], ["Clinicopathological feature", "Positive (n=58)", "Negative (n=46)", "P-value"], [""], ["Age, years", "68.38±11.57", "64.30±10.93", "0.07"], ["Sex", "", "", "0.44"], ["Female", "37", "25", ""], ["Male", "21", "21", ""], ["T stage", "", "", "<0.01"], ["T1-2", "48", "46", ""], ["T3-4", "10", "0", ""], ["N stage", "", "", "<0.01"], ["N0", "34", "41", ""], ["N1-3", "24", "5", ""], ["M stage", "", "", "0.01"], ["M0", "49", "46", ""], ["M1", "9", "0", ""], ["TNM stage", "", "", "<0.001"], ["I–II", "39", "44", ""], ["III–IV", "19", "2", ""], ["Tumor diameter, cm", "2.52±1.50", "1.43±0.68", "<0.001"], ["Ki-67 expression ratio, %", "46±15", "34±10", "<0.001"], [""], ["C, HO-1 expression"], [""], ["Clinicopathological feature", "Positive (n=63)", "Negative (n=41)", "P-value"], [""], ["Age, years", "68.00±11.24", "64.39±11.49", "0.12"], ["Sex", "", "", "0.21"], ["Female", "34", "28", ""], ["Male", "29", "13", ""], ["T stage", "", "", "0.02"], ["T1-2", "53", "41", ""], ["T3-4", "10", "0", ""], ["N stage", "", "", "<0.001"], ["N0", "36", "39", ""], ["N1-3", "27", "2", ""], ["M stage", "", "", "0.03"], ["M0", "54", "41", ""], ["M1", "9", "0", ""], ["TNM stage", "", "", "<0.001"], ["I–II", "42", "41", ""], ["III–IV", "21", "0", ""], ["Tumor diameter, cm", "2.43±1.50", "1.42±0.64", "<0.001"], ["Ki-67 expression ratio, %", "45±15", "33±9", "<0.001"]], "row_count": 67, "column_count": 4, "numeric_cells": 121, "header_rows": 3, "locator": "section[13]/table-wrap[1]#tI-ol-29-3-14902"}}], "gaps": ["asset:source:pmid:39911153 not verified"]}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "targets"]}, "capability": {"state": "absent", "requirements": [], "gaps": ["capability"]}, "readiness": {"state": "partial", "tier": null, "blocking_axis": null, "blocked_on": null, "axes": {}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:39911153", "asset:table:pmid:39911153:1"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:39911153"]}, "gaps": ["corpus_record_absent"]}, "review": {"state": "partial", "machine_critique": {"status": "passed", "providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "full-text-reading-v1", "prompt_hash": "3b1d6d51f2b9595f5da9f1ac3ed84bb5d73d2dec6cb2bc536088be76e3c69a0f", "source_hash": "9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82", "raw_response_sha256": "sha256:4a1fa6b3936787367bfef92ceb1305f1cb92d7b09976beb6e32ef8355c894b27", "raw_response_chars": 4707}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "5df20dd263c1319d99297774e2d96a2e31e8edec8d274e87aa73e8a4578f7683", "source_hash": "9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82", "raw_response_sha256": "sha256:dd33a2d55d0c0fa83e78f26d0cdf37001ca9135b8f9c557a96c6b0eefe025836", "raw_response_chars": 52874}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "abb5030bb0b7ff795d361e9ab82c84051f1d2eef333365ce3135ec1391e38619", "source_hash": "9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82", "raw_response": "{\"parent_value\":1.038,\"unit\":\"hazard ratio\",\"evidence\":\"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).\",\"target_result\":\"The risk score was an independent prognostic factor for patients with LUAD.\",\"number_stated\":true}", "reading": {"parent_value": 1.038, "unit": "hazard ratio", "evidence": "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).", "target_result": "The risk score was an independent prognostic factor for patients with LUAD.", "number_stated": true, "source_locator": "chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82"}, "recorded_at": "2026-10-31T15:22:58.435506+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "296756d404aae8fb3f064f83f08b38d0bd1b1d66d9193b02c198c8ebfa51ae9b", "source_hash": "9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82", "raw_response": "<think>We need answer JSON only. Need identify single numerical result replication registered target main finding. Source abstract headline numerical result likely hazard ratio 1.038, unit perhaps hazard ratio? Need exact contiguous quotation containing number and attribution. \"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001).\" Need headline number only value paper states, unit printed. parent_value 1.038, unit \"hazard ratio\" likely. Evidence exact quote perhaps whole clause/sentence. target_result maybe \"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001).\" But evidence itself exact quote. target_result perhaps concise statement. Need ensure only headline number. They demand evidence exact contiguous quotation contains number, don't shorten. We can quote entire sentence exactly. Unit paper prints \"hazard ratio\". Is unit field perhaps empty because HR dimensionless? But requirement unit must be unit paper prints. It prints \"hazard ratio, 1.038\". Could use \"hazard ratio\". Likely expected extraction format number 1.038, unit \"hazard ratio\". Let's formulate valid JSON. Ensure Unicode en dash in evidence. target_result can state perhaps \"The risk score was an independent prognostic factor for patients with LUAD, with a hazard ratio of 1.038 (95% CI, 1.034–1.043; P&lt;0.001).\" But this paraphrases and includes number? Fine target_result asks what text states. Yet avoid number duplication? They ask headline number only. Could say target_result exact sentence too, but then evidence duplicates. Usually output schema perhaps target_result textual. Need likely \"hazard ratio of 1.038\". Evidence exact contiguous quote. number_stated true.\n\nCould target_result be \"The stated main numerical result is a hazard ratio of 1.038.\" But \"single numerical result\" means report headline number only likely output number and unit. They specifically request \"Report the headline number only: the value...\" Could target_result perhaps be \"hazard ratio\" or \"1.038\". Yet schema has parent_value, unit, evidence, target_result. Need fill target_result. Maybe \"1.038\" to conform headline number only. However target_result likely expected a textual conclusion. Let's parse wording: \"Read ... find the single numerical result ... Report the headline number only: the value the paper itself states for the registered target, not a value you calculated... The unit must be the unit the paper prints. ... If text states no number ... leave ... and say in target_result what the text does state instead.\" This suggests when number stated, target_result likely can be description. \"headline number only\" means don't provide CI/P. We can put target_result \"hazard ratio\" or \"1.038\". Better perhaps target_result: \"The stated hazard ratio is 1.038.\" But that repeats number and violates perhaps only? No, still only headline numeric result, no CI.\n\nExact evidence: Could quote clause from abstract exactly. Ensure \"hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001\" contains additional numbers, and user asks evidence quote contains number, and \"When text links them ... quote the whole clause so reader can check attribution\". We should include whole sentence. Although they ask headline number only, evidence necessarily may include CI and P. That's okay because evidence requirement. Could use exact contiguous smaller clause that attaches HR to risk score: \"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P&lt;0.001).\" That's whole sentence and includes ancillary results. They explicitly say exact quote, not shorten. This isn't shortening. Unit \"hazard ratio\". JSON escaping no issue.\n\nNeed decide target_result. Could be exact wording too. Let's answer concise.</think>\n\n{\"parent_value\":1.038,\"unit\":\"hazard ratio\",\"evidence\":\"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).\",\"target_result\":\"The stated hazard ratio is 1.038.\",\"number_stated\":true}", "reading": {"parent_value": 1.038, "unit": "hazard ratio", "evidence": "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).", "target_result": "The stated hazard ratio is 1.038.", "number_stated": true, "source_locator": "chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82"}, "recorded_at": "2026-10-31T15:23:03.065835+00:00"}], "agreement": true, "disagreements": {"physical_methods": {"minimax": ["Immunohistochemistry"], "minimax_alt": ["Immunohistochemistry for KEAP1, NRF2, and HO-1 expression; the supplied text does not report physical validation of the risk-score hazard ratio."], "decisive": false}, "analysis_methods": {"minimax": ["Univariate Cox regression analysis", "Multivariate Cox regression analysis", "101 machine learning methods", "Nomogram construction", "Calibration curve analysis", "Decision curve analysis"], "minimax_alt": ["limma differential-expression analysis", "Venn diagram analysis", "Univariate Cox regression analysis", "Multivariate Cox regression analysis", "101 machine learning methods", "Nomogram construction", "Calibration curve evaluation", "Decision curve analysis", "ImmuCellAI immune-cell infiltration analysis", "oncoPredict immunotherapy and chemotherapy sensitivity analysis", "Wilcoxon rank-sum test", "χ2 test", "Fisher's exact test"], "decisive": false}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "passed", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.passed"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:22a37205b50fa87aa008e248b7320d8c4d97d2051d35a348a173a2e6ae8e73ed", "type": "sep_package", "label": "SEP v1 package for pmid:39911153"}], "activities": [{"id": "activity:conversion:pmid:39911153", "type": "conversion", "used": ["package:22a37205b50fa87aa008e248b7320d8c4d97d2051d35a348a173a2e6ae8e73ed"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39911153", "parent_hash": "sha256:94295a5f38f78e5856b492ad0b79bcce3ede285cc9f3fb05d6c1d101239ed338", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:39911153 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.passed", "step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39911153' does not resolve to a declared asset", "targets"]}