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pmid:39974379

Development and validation of a prognostic model based on disulfidptosis-related ferroptosis genes: DRD4 and SLC2A3 as biomarkers for predicting prognosis in colon cancer.

Translational cancer research · 2025 doi:10.21037/tcr-24-1177

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:39974379
kind
science-record
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sha256:9ec671f402ac4adb09df852a95342e0073c9ee5c39b902402bff4b6c34b2c203
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:49Z
updated_at
2026-11-01T10:25:49Z
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
Development and validation of a prognostic model based on disulfidptosis-related ferroptosis genes: DRD4 and SLC2A3 as biomarkers for predicting prognosis in colon cancer.
doi
10.21037/tcr-24-1177
pmid
39974379
authors
null
journal
Translational cancer research
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
0.75
unit
c-index
tolerance
null
source
chars 2095-2155 of source sha256 a8033752f0000a738ac0710a28206c9c47c6552a48761fb446c77674b85531cd
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39974379
locator
chars 2095-2155 of source sha256 a8033752f0000a738ac0710a28206c9c47c6552a48761fb446c77674b85531cd
quote
with a C-index of 0.75 indicating strong predictive accuracy
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
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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:39974379
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
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obtain_source_data
order
2
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Obtain the source data behind the published result
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data-preparation
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The published result cannot be recomputed without the data the paper analysed.
parameters object · 0 fields
inputs array · 0 items
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[0]
the source data with its provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
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run_analysis
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Run the analysis programme
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analysis
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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:39974379
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the registered result
instruments array · 0 items
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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:39974379' does not resolve to a declared asset
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partial
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source:pmid:39974379
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xml
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asset:source:pmid:39974379 not verified
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capability
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null
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null
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source:pmid:39974379
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[0]
read_published_estimate
must_build object · 5 fields
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[0]
xml
capabilities array · 0 items
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[0]
source:pmid:39974379
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corpus_record_absent
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partial
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{"parent_value":0.75,"unit":"C-index","evidence":"with a C-index of 0.75 indicating strong predictive accuracy","target_result":"The final prognostic model has a C-index of 0.75.","number_stated":true}
reading object · 6 fields
parent_value
0.75
unit
C-index
evidence
with a C-index of 0.75 indicating strong predictive accuracy
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The final prognostic model has a C-index of 0.75.
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true
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chars 2095-2155 of source sha256 a8033752f0000a738ac0710a28206c9c47c6552a48761fb446c77674b85531cd
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[1] object · 8 fields
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raw_response
<think>We need answer JSON only. Need identify single numerical result headline main finding. Registered target: headline numerical result paper states for main finding. Likely C-index 0.75. Need unit as printed. Evidence exact contiguous quote containing number and attribution, whole clause. "High expression levels ... poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy." Parent_value 0.75. Unit perhaps "C-index" (unit the paper prints). Could unit empty? They ask unit must be unit paper prints. C-index is dimensionless metric, but paper says "a C-index of 0.75". Use unit "C-index". Evidence exact contiguous quote. target_result concise maybe "C-index of 0.75". number_stated true. Need be careful: headline numerical result could be HR? Main finding stated in abstract is C-index 0.75. They explicitly headline number. The prompt likely from task where registered target generic "headline numerical result ... main finding", and source supplies a summary. Yes C-index. Exact quote should contain number and attribution. Could use sentence exactly: "High expression levels of DRD4 and SLC2A3 correlated with advanced clinicopathological stages and poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy." This is contiguous exact. unit perhaps "C-index". JSON valid.</think> {"parent_value":0.75,"unit":"C-index","evidence":"High expression levels of DRD4 and SLC2A3 correlated with advanced clinicopathological stages and poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy.","target_result":"The prognostic model achieved a C-index of 0.75.","number_stated":true}
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parent_value
0.75
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C-index
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High expression levels of DRD4 and SLC2A3 correlated with advanced clinicopathological stages and poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy.
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The prognostic model achieved a C-index of 0.75.
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true
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chars 1981-2156 of source sha256 a8033752f0000a738ac0710a28206c9c47c6552a48761fb446c77674b85531cd
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2026-10-31T15:24:31.095926+00:00
agreement
true
disagreements object · 2 fields
target_result object · 3 fields
minimax
C-index of 0.75 indicating strong predictive accuracy
minimax_alt
The final DRD4/SLC2A3 prognostic model achieved a C-index of 0.75, indicating strong predictive accuracy.
decisive
false
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minimax array · 4 items
[0]
Pearson correlation analysis
[1]
least absolute shrinkage and selection operator (LASSO)
[2]
Cox regression analysis
[3]
C-index
minimax_alt array · 9 items
[0]
Pearson correlation analysis
[1]
least absolute shrinkage and selection operator (LASSO)
[2]
Cox regression analysis
[3]
univariate and multivariate Cox regression analyses
[4]
C-index
[5]
random allocation into training and validation cohorts
[6]
external cohort validation
[7]
nomogram
[8]
paired t-test
decisive
false
agreement_basis object · 2 fields
policy
decisive_fields
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work_type
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number_stated
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parent_value
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true
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null
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target_materials
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null
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evidence object · 1 field
provider_errors array · 0 items
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source_resolution
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pending
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null
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null
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null
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null
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null
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review.human_critique
[1]
review.machine_critique.passed
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null
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minimax
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minimax_alt
[2] object · 3 fields
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step:obtain_source_data blocked on data:not_downloaded
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step:run_analysis blocked on no owned computational capability is bound to this experiment
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step:run_analysis input 'materials:the source data behind the published result in pmid:39974379' does not resolve to a declared asset
[12]
targets
Complete file
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accuracy", "target_result": "The final prognostic model has a C-index of 0.75.", "number_stated": true, "source_locator": "chars 2095-2155 of source sha256 a8033752f0000a738ac0710a28206c9c47c6552a48761fb446c77674b85531cd"}, "recorded_at": "2026-10-31T15:24:27.341592+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "bd77c2b0a9e943633ed726aec6c17d886608b3e136ef62e2df1e4284b283970e", "source_hash": "a8033752f0000a738ac0710a28206c9c47c6552a48761fb446c77674b85531cd", "raw_response": "<think>We need answer JSON only. Need identify single numerical result headline main finding. Registered target: headline numerical result paper states for main finding. Likely C-index 0.75. Need unit as printed. Evidence exact contiguous quote containing number and attribution, whole clause. \"High expression levels ... poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy.\" Parent_value 0.75. Unit perhaps \"C-index\" (unit the paper prints). Could unit empty? They ask unit must be unit paper prints. C-index is dimensionless metric, but paper says \"a C-index of 0.75\". Use unit \"C-index\". Evidence exact contiguous quote. target_result concise maybe \"C-index of 0.75\". number_stated true.\n\nNeed be careful: headline numerical result could be HR? Main finding stated in abstract is C-index 0.75. They explicitly headline number. The prompt likely from task where registered target generic \"headline numerical result ... main finding\", and source supplies a summary. Yes C-index.\n\nExact quote should contain number and attribution. Could use sentence exactly: \"High expression levels of DRD4 and SLC2A3 correlated with advanced clinicopathological stages and poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy.\" This is contiguous exact. unit perhaps \"C-index\". JSON valid.</think>\n\n{\"parent_value\":0.75,\"unit\":\"C-index\",\"evidence\":\"High expression levels of DRD4 and SLC2A3 correlated with advanced clinicopathological stages and poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy.\",\"target_result\":\"The prognostic model achieved a C-index of 0.75.\",\"number_stated\":true}", "reading": {"parent_value": 0.75, "unit": "C-index", "evidence": "High expression levels of DRD4 and SLC2A3 correlated with advanced clinicopathological stages and poor prognosis, with a C-index of 0.75 indicating strong predictive accuracy.", "target_result": "The prognostic model achieved a C-index of 0.75.", "number_stated": true, "source_locator": "chars 1981-2156 of source sha256 a8033752f0000a738ac0710a28206c9c47c6552a48761fb446c77674b85531cd"}, "recorded_at": "2026-10-31T15:24:31.095926+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "C-index of 0.75 indicating strong predictive accuracy", "minimax_alt": "The final DRD4/SLC2A3 prognostic model achieved a C-index of 0.75, indicating strong predictive accuracy.", "decisive": false}, "analysis_methods": {"minimax": ["Pearson correlation analysis", "least absolute shrinkage and selection operator (LASSO)", "Cox regression analysis", "C-index"], "minimax_alt": ["Pearson correlation analysis", "least absolute shrinkage and selection operator (LASSO)", "Cox regression analysis", "univariate and multivariate Cox regression analyses", "C-index", "random allocation into training and validation cohorts", "external cohort validation", "nomogram", "paired t-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:2847d77ac8d78aed3ae7ad897e4e98fc4a2b22c8af7bb48d24d24606f4b7d716", "type": "sep_package", "label": "SEP v1 package for pmid:39974379"}], "activities": [{"id": "activity:conversion:pmid:39974379", "type": "conversion", "used": ["package:2847d77ac8d78aed3ae7ad897e4e98fc4a2b22c8af7bb48d24d24606f4b7d716"], "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": "2e77ea47-c2e8-48f6-8e32-389c78e79ac0", "parent_hash": "2847d77ac8d78aed3ae7ad897e4e98fc4a2b22c8af7bb48d24d24606f4b7d716", "fork_of": null, "generation": 1}, "gaps": ["abstract", "asset:source:pmid:39974379 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:39974379' does not resolve to a declared asset", "targets"]}