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

pmid:38310407

Dysregulated Forkhead Box (FOX) Genes Association with Survival Prognosis, Anti-tumor Immunity, and Key Targeting Drugs in Colon Adenocarcinoma.

Qian Xie · Jie Wang · Xingchen Peng

Archives of Iranian medicine · 2023 doi:10.34172/aim.2023.77

Paper

complete

Experiment

partial

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:38310407
kind
science-record
content_hash
sha256:5888f15048919b51292d428f66fbcf7b6031ed08756b6a6a83bb5fdaa4aa4413
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:20:15Z
updated_at
2026-11-01T22:53:36Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Dysregulated Forkhead Box (FOX) Genes Association with Survival Prognosis, Anti-tumor Immunity, and Key Targeting Drugs in Colon Adenocarcinoma.
doi
10.34172/aim.2023.77
pmid
38310407
authors array · 3 items
[0]
Qian Xie
[1]
Jie Wang
[2]
Xingchen Peng
journal
Archives of Iranian medicine
year
2023
abstract
BACKGROUND: Several studies have revealed that the aberrant expressions of forkhead box (FOX) genes are associated with carcinogenesis. However, the crucial biological functions of the FOX gene in colon adenocarcinoma (COAD) remain unknown. METHODS: The TCGA-COAD dataset (n=328) was utilized for determining the deregulated FOX genes and their association with functional enrichment, protein-protein interaction (PPI), survival prognosis, anti-tumor immunity, cancer-associated pathways, and biological processes in COAD. In addition, we used GSE166427 (GPL13667) as a validation cohort (n=196). Molecular docking studies were applied to perform the drug interactions. RESULTS: The FOX genes are deregulated in the COAD (Log2 FC>0.50, P<0.05), and the PPI network of FOX members is substantially related to the enrichment of cancerous signaling, immune responses, and cellular development (FDR<0.05). A worse prognosis for overall survival in COAD individuals is connected with the subgroup of FOX transcripts (P≤0.05). FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05). FOXH1 and FOXS1 are substantially linked to the deregulated immunity in COAD (R>0.20, P<0.01). Furthermore, FOXS1 expression regulates cancer-associated pathways and biological processes (P<0.05). Moreover, FOXD4, FOXH1, and FOXS1 are genetically altered and showed diagnostic efficacy in COAD. We revealed that FOXD4, FOXH1, and FOXS1 are consistently deregulated in GSE166427 (P<0.05). Finally, molecular docking revealed that FOXH1 interacted with various drugs, including belinostat, entinostat, and panobinostat. CONCLUSION: The FOX genes have a strong correlation with the poor prognosis for survival, tumor immunity, cancer-associated pathways, and biochemical processes that cause the pathogenesis of COAD.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38310407
locator
sections[7] "Survival Analysis of FOX Genes in COAD" paragraph 2
quote
The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Data Availability Statement The TCGA-COAD cohort is downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/). The mutation and CNA data (n = 220) were used from the cBioPortal (http://www.cbioportal.org/). The GEO data (GSE166427) was downloaded from the national center for biotechnology information (https://www.ncbi.nlm.nih.gov/).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38310407
locator
sections[27] "fn-group" paragraph 1
quote
Data Availability Statement The TCGA-COAD cohort is downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/). The mutation and CNA data (n = 220) were used from the cBioPortal (http://www.cbioportal.org/). The GEO data (GSE166427) was downloaded from the national center for biotechnology information (https://www.ncbi.nlm.nih.gov/).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05).
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38310407
locator
sections[0] "Abstract" paragraph 3
quote
FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
objective
FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05).
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:38310407
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
blocked
blocked_on
data:accession_absent
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 · 0 items
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 · 0 items
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 · 1 item
[0]
step:obtain_source_data blocked on data:accession_absent
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:38310407
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.34172/aim.2023.77
sha256
sha256:fda47bdc90879a648f2a1683894c8199a6f7846c5818be61641c2c8078a98f21
bytes
46492
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.34172/aim.2023.77
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
PMC10862056
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
gaps array · 0 items
analysis object · 4 fields
state
partial
methods array · 4 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
1
band
verbatim
quote
The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[2] object · 10 fields
id
method-3
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 regression
[3] object · 10 fields
id
method-4
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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
blocked
tier
R4
blocked_on
data:accession_absent
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
R4
reachable
false
accessions array · 1 item
[0]
GSE166427 (GPL13667)
resolved_accessions array · 0 items
statements array · 1 item
[0]
Data Availability Statement The TCGA-COAD cohort is downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/). The mutation and CNA data (n = 220) were used from the cBioPortal (http://www.cbioportal.org/). The GEO data (GSE166427) was downloaded from the national center for biotechnology information (https://www.ncbi.nlm.nih.gov/).
basis
The paper names GSE166427 (GPL13667), but the accession does not resolve in the repository (no reason recorded), so the data cannot be reached from here. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 1 item
[0]
source:pmid:38310407
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:None
gaps array · 1 item
[0]
data:accession_absent
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:07:28Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
13080
completion_tokens
2044
cached_tokens
264
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:38310407
type
paper
label
pmid:38310407
[1] object · 3 fields
id
source:pmid:38310407
type
manuscript
label
PMID 38310407 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
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:38310407
type
paper
label
pmid:38310407
[1] object · 3 fields
id
source:pmid:38310407
type
manuscript
label
PMID 38310407 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38310407
type
extraction
used array · 1 item
[0]
source:pmid:38310407
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-None
type
accession_resolution
used array · 1 item
[0]
data:geo:None
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:38310407
parent_hash
sha256:fc55240b19c34cd324157cccde3931523fa79ddacb8dce0718ead0fbfabacd87
fork_of
null
gaps array · 6 items
[0]
execution.not_run
[1]
method.reader_differs_from_extractor
[2]
review.human_critique
[3]
review.independent_reader
[4]
review.machine_critique
[5]
step:obtain_source_data blocked on data:accession_absent
assays array · 1 item
[0] 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]
The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated.
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:38310407", "kind": "science-record", "revision": 4, "content_hash": "sha256:5888f15048919b51292d428f66fbcf7b6031ed08756b6a6a83bb5fdaa4aa4413", "created_at": "2026-11-01T19:20:15Z", "updated_at": "2026-11-01T22:53:36Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Dysregulated Forkhead Box (FOX) Genes Association with Survival Prognosis, Anti-tumor Immunity, and Key Targeting Drugs in Colon Adenocarcinoma.", "doi": "10.34172/aim.2023.77", "pmid": "38310407", "authors": ["Qian Xie", "Jie Wang", "Xingchen Peng"], "journal": "Archives of Iranian medicine", "year": 2023, "abstract": "BACKGROUND: Several studies have revealed that the aberrant expressions of forkhead box (FOX) genes are associated with carcinogenesis. However, the crucial biological functions of the FOX gene in colon adenocarcinoma (COAD) remain unknown.\nMETHODS: The TCGA-COAD dataset (n=328) was utilized for determining the deregulated FOX genes and their association with functional enrichment, protein-protein interaction (PPI), survival prognosis, anti-tumor immunity, cancer-associated pathways, and biological processes in COAD. In addition, we used GSE166427 (GPL13667) as a validation cohort (n=196). Molecular docking studies were applied to perform the drug interactions.\nRESULTS: The FOX genes are deregulated in the COAD (Log2 FC>0.50, P<0.05), and the PPI network of FOX members is substantially related to the enrichment of cancerous signaling, immune responses, and cellular development (FDR<0.05). A worse prognosis for overall survival in COAD individuals is connected with the subgroup of FOX transcripts (P≤0.05). FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05). FOXH1 and FOXS1 are substantially linked to the deregulated immunity in COAD (R>0.20, P<0.01). Furthermore, FOXS1 expression regulates cancer-associated pathways and biological processes (P<0.05). Moreover, FOXD4, FOXH1, and FOXS1 are genetically altered and showed diagnostic efficacy in COAD. We revealed that FOXD4, FOXH1, and FOXS1 are consistently deregulated in GSE166427 (P<0.05). Finally, molecular docking revealed that FOXH1 interacted with various drugs, including belinostat, entinostat, and panobinostat.\nCONCLUSION: The FOX genes have a strong correlation with the poor prognosis for survival, tumor immunity, cancer-associated pathways, and biochemical processes that cause the pathogenesis of COAD.", "claims": [{"id": "claim-method", "statement": "The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38310407", "locator": "sections[7] \"Survival Analysis of FOX Genes in COAD\" paragraph 2", "quote": "The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data Availability Statement The TCGA-COAD cohort is downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/). The mutation and CNA data (n = 220) were used from the cBioPortal (http://www.cbioportal.org/). The GEO data (GSE166427) was downloaded from the national center for biotechnology information (https://www.ncbi.nlm.nih.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38310407", "locator": "sections[27] \"fn-group\" paragraph 1", "quote": "Data Availability Statement The TCGA-COAD cohort is downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/). The mutation and CNA data (n = 220) were used from the cBioPortal (http://www.cbioportal.org/). The GEO data (GSE166427) was downloaded from the national center for biotechnology information (https://www.ncbi.nlm.nih.gov/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38310407", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "FOXD4, FOXH1, and FOXS1 were identified as predictive variables in the univariate and multivariate Cox regression models (P≤0.05).", "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:38310407"], "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": "blocked", "blocked_on": "data:accession_absent", "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": [], "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": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38310407", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.34172/aim.2023.77", "sha256": "sha256:fda47bdc90879a648f2a1683894c8199a6f7846c5818be61641c2c8078a98f21", "bytes": 46492, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.34172/aim.2023.77", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10862056", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}], "gaps": []}, "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": 1.0, "band": "verbatim", "quote": "The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated."}}, {"id": "method-2", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-3", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Cox regression"}}, {"id": "method-4", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "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": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "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": "R4", "reachable": false, "accessions": ["GSE166427 (GPL13667)"], "resolved_accessions": [], "statements": ["Data Availability Statement The TCGA-COAD cohort is downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/). The mutation and CNA data (n = 220) were used from the cBioPortal (http://www.cbioportal.org/). The GEO data (GSE166427) was downloaded from the national center for biotechnology information (https://www.ncbi.nlm.nih.gov/)."], "basis": "The paper names GSE166427 (GPL13667), but the accession does not resolve in the repository (no reason recorded), so the data cannot be reached from here. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:38310407"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:07:28Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 13080, "completion_tokens": 2044, "cached_tokens": 264}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:38310407", "type": "paper", "label": "pmid:38310407"}, {"id": "source:pmid:38310407", "type": "manuscript", "label": "PMID 38310407 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:38310407", "type": "paper", "label": "pmid:38310407"}, {"id": "source:pmid:38310407", "type": "manuscript", "label": "PMID 38310407 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-38310407", "type": "extraction", "used": ["source:pmid:38310407"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "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:38310407", "parent_hash": "sha256:fc55240b19c34cd324157cccde3931523fa79ddacb8dce0718ead0fbfabacd87", "fork_of": null, "generation": 3}, "gaps": ["execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"], "assays": [{"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": 1.0, "evidence": ["The survival disparities between the high-expression group (HEG) and low-expression group (LEG) of FOX genes in COAD individuals were identified using the Kaplan-Meier method (HEG > median > LEG). Utilizing the R package “survival”, the survival implications of significant FOX genes in the TCGA COAD database were investigated."], "order_basis": "analysis_only", "id": "assay:1"}]}