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

pmid:41611937

A novel NETosis-related gene signature for predicting prognosis and immunotherapy response in hepatic cancer.

Zhufeng Li · Yong Chen · Xibo Gao · Xiao Li · Chuan Li · Tong Liu · Haopeng Gao · Jianming Wei

Discover oncology · 2026 doi:10.1007/s12672-026-04502-6

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

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:41611937
kind
science-record
content_hash
sha256:5d86a8f08e7b066f9add4b8a13e71a6c0b9b37df64b7b02cf10a1f9bbbeb6a2e
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:31:42Z
updated_at
2026-11-01T22:57:57Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
A novel NETosis-related gene signature for predicting prognosis and immunotherapy response in hepatic cancer.
doi
10.1007/s12672-026-04502-6
pmid
41611937
authors array · 8 items
[0]
Zhufeng Li
[1]
Yong Chen
[2]
Xibo Gao
[3]
Xiao Li
[4]
Chuan Li
[5]
Tong Liu
[6]
Haopeng Gao
[7]
Jianming Wei
journal
Discover oncology
year
2026
abstract
Neutrophils expelling neutrophil extracellular traps (NETs) during the process of NETosis play a critical role in tumor development. In this study, we aimed to identify a prognostic NETosis-related gene signature that could predict the immunetherapy response and explore the expression of these genes in hepatocellular carcinoma (HCC). Differentially expressed NETosis-related genes were identified from the GSE80489 dataset in the Gene Expression Omnibus (GEO), and a protein-protein interaction (PPI) network was constructed using Cytoscape and the STRING database. Gene Ontology (GO) enrichment analysis revealed associations with chemical stimuli and the positive regulation of cellular processes in HCC. A total of 37 differentially expressed NETosis-related genes were identified, and SNORA31, PMAIP1, GLA, CXCL1, and ADM were selected to construct a prognostic signature. In the training cohort, the low-risk group demonstrated significantly better overall survival (OS) compared to the high-risk group (P = 2.715e-06), and multivariable analysis confirmed that this signature was an independent prognostic factor for HCC (HR = 1.630, 95% CI = 1.295-2.052, P < 0.001). This signature also significantly predicted OS in validation cohorts (P = 9.704e-03) and was associated with HCC patients' OS according to the Kaplan-Meier Plotter. Moreover, it could predict the immunotherapy response in HCC patients. Finally, we investigated the expression of NETosis-related genes in single-cell subtypes and in the HepG2 cell line, providing further insights into their relevance in HCC. Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41611937
locator
sections[5] "Construction of the five prognostic NETosis-related gene signature" paragraph 2
quote
Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41611937
locator
sections[24] "Data availability" paragraph 2
quote
The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC.
kind
quantitative
target object · 4 fields
value
9
unit
p-value
tolerance
null
source
This signature also significantly predicted OS in validation cohorts (P = 9.704e−03) and was associated with HCC patients' OS according to the Kaplan–Meier Plotter.
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:41611937
locator
sections[0] "Abstract" paragraph 1
quote
Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC.
[1] object · 3 fields
asset
source:pmid:41611937
locator
sections[0] "Abstract" paragraph 1
quote
This signature also significantly predicted OS in validation cohorts (P = 9.704e−03) and was associated with HCC patients' OS according to the Kaplan–Meier Plotter.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC.
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:41611937
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE80489
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE80489
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:41611937
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1007/s12672-026-04502-6
sha256
sha256:56ff0658d45c710ebe8314058b49d8de66bd8e6e96ba47212e59d9783b293537
bytes
34184
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1007/s12672-026-04502-6
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
PMC12929758
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE80489
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=GSE80489
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE80489
version
null
note
The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).
access_statement_kind
data_availability_statement
sample_accessions array · 18 items
[0]
GSM2128264
[1]
GSM2128265
[2]
GSM2128266
[3]
GSM2128267
[4]
GSM2128268
[5]
GSM2128269
[6]
GSM2128271
[7]
GSM2128273
[8]
GSM2128274
[9]
GSM2128276
[10]
GSM2128279
[11]
GSM2128281
[12]
GSM2128283
[13]
GSM2128285
[14]
GSM2128288
[15]
GSM2128290
[16]
GSM2128292
[17]
GSM2128294
sample_count
18
group_sizes
null
group_sizes_basis
null
platform
17586
taxon
Homo sapiens
title
Transcript expression analysis of the NETotic neutrphils
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE80489 not downloaded
[1]
asset:data:geo:GSE80489 licence not read
analysis object · 4 fields
state
complete
methods array · 5 items
[0] object · 10 fields
id
method-1
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
1
band
verbatim
quote
Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test.
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[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
[4] object · 10 fields
id
method-5
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
build_graph
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
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]
cox_ph
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: cox_proportional_hazards.
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 · 1 item
[0]
GSE80489
resolved_accessions array · 1 item
[0]
GSE80489
statements array · 1 item
[0]
The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).
basis
The paper names GSE80489 in Gene Expression Omnibus (GEO) 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]
cox_ph
assets array · 2 items
[0]
source:pmid:41611937
[1]
data:geo:GSE80489
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:GSE80489
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T20:11:49Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
10667
completion_tokens
2389
cached_tokens
256
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:41611937
type
paper
label
pmid:41611937
[1] object · 3 fields
id
source:pmid:41611937
type
manuscript
label
PMID 41611937 full text
[2] object · 3 fields
id
data:geo:GSE80489
type
dataset
label
GEO GSE80489
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:41611937
type
paper
label
pmid:41611937
[1] object · 3 fields
id
source:pmid:41611937
type
manuscript
label
PMID 41611937 full text
[2] object · 3 fields
id
data:geo:GSE80489
type
dataset
label
GEO GSE80489
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-41611937
type
extraction
used array · 1 item
[0]
source:pmid:41611937
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE80489
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE80489
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:41611937
parent_hash
sha256:5dd22d3526ce309a7f05f62d3a6c85711619b65731bb2cd490e31da134e3240b
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE80489 licence not read
[1]
asset:data:geo:GSE80489 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
ted genes in single-cell subtypes and in the HepG2 cell line, providing further insights into t
[1]
ianjin General Surgery Institute. Cells were cultured in Dulbecco’s Modified Eagle Medium (DMEM, Bdbi
[2]
re Human hepatocellular carcinoma cell lines HepG2 and normal human liver cell line LO2 were ob
order_basis
paper_text_order:1577
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41611937", "kind": "science-record", "revision": 4, "content_hash": "sha256:5d86a8f08e7b066f9add4b8a13e71a6c0b9b37df64b7b02cf10a1f9bbbeb6a2e", "created_at": "2026-11-01T20:31:42Z", "updated_at": "2026-11-01T22:57:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A novel NETosis-related gene signature for predicting prognosis and immunotherapy response in hepatic cancer.", "doi": "10.1007/s12672-026-04502-6", "pmid": "41611937", "authors": ["Zhufeng Li", "Yong Chen", "Xibo Gao", "Xiao Li", "Chuan Li", "Tong Liu", "Haopeng Gao", "Jianming Wei"], "journal": "Discover oncology", "year": 2026, "abstract": "Neutrophils expelling neutrophil extracellular traps (NETs) during the process of NETosis play a critical role in tumor development. In this study, we aimed to identify a prognostic NETosis-related gene signature that could predict the immunetherapy response and explore the expression of these genes in hepatocellular carcinoma (HCC). Differentially expressed NETosis-related genes were identified from the GSE80489 dataset in the Gene Expression Omnibus (GEO), and a protein-protein interaction (PPI) network was constructed using Cytoscape and the STRING database. Gene Ontology (GO) enrichment analysis revealed associations with chemical stimuli and the positive regulation of cellular processes in HCC. A total of 37 differentially expressed NETosis-related genes were identified, and SNORA31, PMAIP1, GLA, CXCL1, and ADM were selected to construct a prognostic signature. In the training cohort, the low-risk group demonstrated significantly better overall survival (OS) compared to the high-risk group (P = 2.715e-06), and multivariable analysis confirmed that this signature was an independent prognostic factor for HCC (HR = 1.630, 95% CI = 1.295-2.052, P < 0.001). This signature also significantly predicted OS in validation cohorts (P = 9.704e-03) and was associated with HCC patients' OS according to the Kaplan-Meier Plotter. Moreover, it could predict the immunotherapy response in HCC patients. Finally, we investigated the expression of NETosis-related genes in single-cell subtypes and in the HepG2 cell line, providing further insights into their relevance in HCC. Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC.", "claims": [{"id": "claim-method", "statement": "Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41611937", "locator": "sections[5] \"Construction of the five prognostic NETosis-related gene signature\" paragraph 2", "quote": "Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41611937", "locator": "sections[24] \"Data availability\" paragraph 2", "quote": "The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC.", "kind": "quantitative", "target": {"value": 9.0, "unit": "p-value", "tolerance": null, "source": "This signature also significantly predicted OS in validation cohorts (P = 9.704e−03) and was associated with HCC patients' OS according to the Kaplan–Meier Plotter."}, "evidence": [{"asset": "source:pmid:41611937", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC."}, {"asset": "source:pmid:41611937", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "This signature also significantly predicted OS in validation cohorts (P = 9.704e−03) and was associated with HCC patients' OS according to the Kaplan–Meier Plotter."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Overall, this NETosis-related gene signature serves as a prognostic indicator and a potential predictor for immunotherapy response in HCC.", "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:41611937"], "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:GSE80489"], "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:GSE80489"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41611937", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s12672-026-04502-6", "sha256": "sha256:56ff0658d45c710ebe8314058b49d8de66bd8e6e96ba47212e59d9783b293537", "bytes": 34184, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1007/s12672-026-04502-6", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12929758", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE80489", "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=GSE80489", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE80489", "version": null, "note": "The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2128264", "GSM2128265", "GSM2128266", "GSM2128267", "GSM2128268", "GSM2128269", "GSM2128271", "GSM2128273", "GSM2128274", "GSM2128276", "GSM2128279", "GSM2128281", "GSM2128283", "GSM2128285", "GSM2128288", "GSM2128290", "GSM2128292", "GSM2128294"], "sample_count": 18, "group_sizes": null, "group_sizes_basis": null, "platform": "17586", "taxon": "Homo sapiens", "title": "Transcript expression analysis of the NETotic neutrphils", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE80489 not downloaded", "asset:data:geo:GSE80489 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "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": 1.0, "band": "verbatim", "quote": "Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test."}}, {"id": "method-2", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}, {"id": "method-3", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "log-rank"}}, {"id": "method-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"}}, {"id": "method-5", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.8, "band": "high", "quote": "ROC curve"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "build_graph", "expected_value": 9.0, "unit": "p-value", "tolerance": null, "state": "complete", "note": "The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold."}], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE80489"], "resolved_accessions": ["GSE80489"], "statements": ["The datasets generated and analysed during the current study are available in GSE80489 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80489), TCGA database (https://portal.gdc.cancer.gov/) and ICGC database (https://icgc.org)."], "basis": "The paper names GSE80489 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:41611937", "data:geo:GSE80489"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE80489"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T20:11:49Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10667, "completion_tokens": 2389, "cached_tokens": 256}}, "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:41611937", "type": "paper", "label": "pmid:41611937"}, {"id": "source:pmid:41611937", "type": "manuscript", "label": "PMID 41611937 full text"}, {"id": "data:geo:GSE80489", "type": "dataset", "label": "GEO GSE80489"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:41611937", "type": "paper", "label": "pmid:41611937"}, {"id": "source:pmid:41611937", "type": "manuscript", "label": "PMID 41611937 full text"}, {"id": "data:geo:GSE80489", "type": "dataset", "label": "GEO GSE80489"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-41611937", "type": "extraction", "used": ["source:pmid:41611937"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE80489", "type": "accession_resolution", "used": ["data:geo:GSE80489"], "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:41611937", "parent_hash": "sha256:5dd22d3526ce309a7f05f62d3a6c85711619b65731bb2cd490e31da134e3240b", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE80489 licence not read", "asset:data:geo:GSE80489 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ted genes in single-cell subtypes and in the HepG2 cell line, providing further insights into t", "ianjin General Surgery Institute. Cells were cultured in Dulbecco’s Modified Eagle Medium (DMEM, Bdbi", "re Human hepatocellular carcinoma cell lines HepG2 and normal human liver cell line LO2 were ob"], "order_basis": "paper_text_order:1577", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Overall survival curves were plotted using the Kaplan–Meier (K–M) method. The relationships were tested using the log-rank test."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}