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pmid:34745421

Comprehensive Analysis of Ferroptosis-Related Markers for the Clinical and Biological Value in Gastric Cancer.

Yanfei Shao · Hongtao Jia · Shuchun Li · Ling Huang · Batuer Aikemu · Guang Yang · Sen Zhang · Jing Sun · Minhua Zheng

Oxidative medicine and cellular longevity · 2021 doi:10.1155/2021/7007933

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Experiment

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Data

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pmid:34745421
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title
Comprehensive Analysis of Ferroptosis-Related Markers for the Clinical and Biological Value in Gastric Cancer.
doi
10.1155/2021/7007933
pmid
34745421
authors array · 9 items
[0]
Yanfei Shao
[1]
Hongtao Jia
[2]
Shuchun Li
[3]
Ling Huang
[4]
Batuer Aikemu
[5]
Guang Yang
[6]
Sen Zhang
[7]
Jing Sun
[8]
Minhua Zheng
journal
Oxidative medicine and cellular longevity
year
2021
abstract
Gastric cancer is a highly malignant tumor with poor survival rate. Ferroptosis, a newly defined regulated cell death, is closely related to several tumors. Introduction of ferroptosis is promising for cancer treatments. However, the predictive role of ferroptosis in GC remains elusive. In this study, we screened the ferroptosis-related genes which were differentially expressed between normal and GC tissues. Then, based on these differentially expressed genes (DEGs), the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regressions were applied to construct the 10-gene prognostic signature (SP1, MYB, ALDH3A2, KEAP1, AIFM2, ITGB4, TGFBR1, MAP1LC3B, NOX4, and ZFP36) in TCGA training dataset. Based on the median risk score, all GC patients in TCGA training dataset and GSE84437 testing dataset were classified into a high- or low-risk group. GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001). Combined with the clinical characteristics, the risk score was proven as an independent factor for predicting the OS of GC patients. Besides, the GC patients in the high- or low-risk group showed significantly different GO and KEGG functional enrichments, somatic mutation, fractions of immune cells, and immunotherapy response. Then, the expression levels of these genes in signature were further verified in the GC cell lines and our own GC samples (30-paired tumor/normal tissues). Furthermore, the effects of ferroptosis inducer Erastin on these 10 ferroptosis-related genes in GC cell lines were also explored in our study. In conclusion, our study constructed a prognostic signature of 10 ferroptosis-related genes, which could well predict the prognosis and immunotherapy for GC patients.
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In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package.
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In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package.
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The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). Furthermore, the somatic mutation data of the TCGA-STAD was downloaded from the websites (https://portal.gdc.cancer.gov/). The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021.
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The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). Furthermore, the somatic mutation data of the TCGA-STAD was downloaded from the websites (https://portal.gdc.cancer.gov/). The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021.
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GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001).
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GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001).
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GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001).
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GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001).
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The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). Furthermore, the somatic mutation data of the TCGA-STAD was downloaded from the websites (https://portal.gdc.cancer.gov/). The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021.
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sample_count
483
group_sizes
null
group_sizes_basis
null
platform
6947
taxon
Homo sapiens
title
Molecular subtypes in gastric cancer.
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE29272 not downloaded
[1]
asset:data:geo:GSE29272 licence not read
[2]
asset:data:geo:GSE84437 not downloaded
[3]
asset:data:geo:GSE84437 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
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survival_analysis
specific
cox_proportional_hazards
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Survival analysis
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[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
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verbatim
quote
In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package.
[1] object · 10 fields
id
method-2
family
principal_component_analysis
specific
pca
label
Principal component analysis
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[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
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[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.8
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high
quote
PCA
[2] object · 10 fields
id
method-3
family
network_analysis
specific
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label
Network / pathway analysis
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[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
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high
quote
GO enrichment
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[0] object · 8 fields
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target-published-estimate
claim_id
claim-target-result
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cox_ph
unit
p-value
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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]
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[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 · 2 items
[0]
GSE84437
[1]
GSE29272
resolved_accessions array · 2 items
[0]
GSE84437
[1]
GSE29272
statements array · 1 item
[0]
The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). Furthermore, the somatic mutation data of the TCGA-STAD was downloaded from the websites (https://portal.gdc.cancer.gov/). The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021.
basis
The paper names GSE84437, GSE29272 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:34745421
[1]
data:geo:GSE29272
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE29272
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
2026-11-01T17:06:23Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
18569
completion_tokens
2167
cached_tokens
128
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[0] object · 4 fields
id
extraction
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complete
reader
MiniMax-M3.1-Flash
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minimax
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[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
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absent
status
not_run
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:34745421
type
paper
label
pmid:34745421
[1] object · 3 fields
id
source:pmid:34745421
type
manuscript
label
PMID 34745421 full text
[2] object · 3 fields
id
data:geo:GSE29272
type
dataset
label
GEO GSE29272
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
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pmid:34745421
type
paper
label
pmid:34745421
[1] object · 3 fields
id
source:pmid:34745421
type
manuscript
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PMID 34745421 full text
[2] object · 3 fields
id
data:geo:GSE29272
type
dataset
label
GEO GSE29272
agent
agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-34745421
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extraction
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[0]
source:pmid:34745421
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE29272
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accession_resolution
used array · 1 item
[0]
data:geo:GSE29272
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agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
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agent:corpus-assay-engine
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software
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Corpus assay engine
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agent:minimax-reader
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software
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MiniMax literature reader
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reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
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lineage object · 4 fields
parent_id
pmid:34745421
parent_hash
sha256:4d6cfbf61d1a179be7b65f31f3b6ac2931a6132c40982136d66a26b12f90f8a1
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE29272 licence not read
[1]
asset:data:geo:GSE29272 not downloaded
[2]
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[3]
asset:data:geo:GSE84437 not downloaded
[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 5 items
[0] object · 11 fields
role
data_generation
definition_id
cell_culture
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99e1195c7d6f
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partial
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assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
nstitute of Digestive Surgery. All the three cell lines were cultured in RPMI-1640 medium (Meilunbio, China) suppl
[1]
stive Surgery. All the three cell lines were cultured in RPMI-1640 medium (Meilunbio, China) suppleme
order_basis
paper_text_order:2130
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assay:1
[1] object · 11 fields
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data_generation
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99e1195c7d6f
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partial
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assay_lexicon
99e1195c7d6f
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0.99
evidence array · 2 items
[0]
MGC-803 cell lines were all investigated by real-time PCR. The results indicated that the mRNA express
[1]
03 after being treated with 10 μM Erastin by real-time PCR. (i) The plot detects the different protein
order_basis
paper_text_order:9690
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
western_blot
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
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evidence array · 2 items
[0]
P1, NOX4, and SP1) were further confirmed by western blot except AIFM2 and SP1 in the HGC-27 cell line
[1]
03 after being treated with 10 μM Erastin by western blot. ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, and ∗∗
order_basis
paper_text_order:10320
id
assay:3
[3] object · 11 fields
role
data_generation
definition_id
flow_cytometry
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
MGC-803 cell lines treated with Erastin. The flow cytometry and fluorescence microscope plots verify the
order_basis
paper_text_order:10629
id
assay:4
[4] 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]
In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package.
order_basis
consumes_earlier_output
id
assay:5
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34745421", "kind": "science-record", "revision": 3, "content_hash": "sha256:efd76bc72efa7450f05d317772fddfcd18770c96333f6ccf625f48fea818ec15", "created_at": "2026-11-01T17:36:26Z", "updated_at": "2026-11-01T21:26:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Comprehensive Analysis of Ferroptosis-Related Markers for the Clinical and Biological Value in Gastric Cancer.", "doi": "10.1155/2021/7007933", "pmid": "34745421", "authors": ["Yanfei Shao", "Hongtao Jia", "Shuchun Li", "Ling Huang", "Batuer Aikemu", "Guang Yang", "Sen Zhang", "Jing Sun", "Minhua Zheng"], "journal": "Oxidative medicine and cellular longevity", "year": 2021, "abstract": "Gastric cancer is a highly malignant tumor with poor survival rate. Ferroptosis, a newly defined regulated cell death, is closely related to several tumors. Introduction of ferroptosis is promising for cancer treatments. However, the predictive role of ferroptosis in GC remains elusive. In this study, we screened the ferroptosis-related genes which were differentially expressed between normal and GC tissues. Then, based on these differentially expressed genes (DEGs), the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regressions were applied to construct the 10-gene prognostic signature (SP1, MYB, ALDH3A2, KEAP1, AIFM2, ITGB4, TGFBR1, MAP1LC3B, NOX4, and ZFP36) in TCGA training dataset. Based on the median risk score, all GC patients in TCGA training dataset and GSE84437 testing dataset were classified into a high- or low-risk group. GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001). Combined with the clinical characteristics, the risk score was proven as an independent factor for predicting the OS of GC patients. Besides, the GC patients in the high- or low-risk group showed significantly different GO and KEGG functional enrichments, somatic mutation, fractions of immune cells, and immunotherapy response. Then, the expression levels of these genes in signature were further verified in the GC cell lines and our own GC samples (30-paired tumor/normal tissues). Furthermore, the effects of ferroptosis inducer Erastin on these 10 ferroptosis-related genes in GC cell lines were also explored in our study. In conclusion, our study constructed a prognostic signature of 10 ferroptosis-related genes, which could well predict the prognosis and immunotherapy for GC patients.", "claims": [{"id": "claim-method", "statement": "In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34745421", "locator": "sections[5] \"2.3. Establishment and Validation of a Prognostic Ferroptosis-Related Gene Signature\" paragraph 2", "quote": "In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). Furthermore, the somatic mutation data of the TCGA-STAD was downloaded from the websites (https://portal.gdc.cancer.gov/). The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34745421", "locator": "sections[30] \"Data Availability\" paragraph 2", "quote": "The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). Furthermore, the somatic mutation data of the TCGA-STAD was downloaded from the websites (https://portal.gdc.cancer.gov/). The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021."}], "state": "complete"}, {"id": "claim-target-result", "statement": "GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001).", "kind": "quantitative", "target": {"value": 0.001, "unit": "p-value", "tolerance": null, "source": "GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001)."}, "evidence": [{"asset": "source:pmid:34745421", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "GC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001).", "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:34745421"], "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:GSE29272"], "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:GSE29272"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34745421", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2021/7007933", "sha256": "sha256:400b0f0381cfb959922a982f2f68c508d833214c29797367d3c000ef95b77141", "bytes": 62886, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2021/7007933", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8566081", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE29272", "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=GSE29272", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE29272", "version": null, "note": "The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. 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The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). 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"GSM4419533"], "sample_count": 483, "group_sizes": null, "group_sizes_basis": null, "platform": "6947", "taxon": "Homo sapiens", "title": "Molecular subtypes in gastric cancer.", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE29272 not downloaded", "asset:data:geo:GSE29272 licence not read", "asset:data:geo:GSE84437 not downloaded", "asset:data:geo:GSE84437 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": "In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package."}}, {"id": "method-2", "family": "principal_component_analysis", "specific": "pca", "label": "Principal component analysis", "dsl_operations": ["pca_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["wide_numeric_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "PCA"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "GO enrichment"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "cox_ph", "expected_value": 0.001, "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": ["GSE84437", "GSE29272"], "resolved_accessions": ["GSE84437", "GSE29272"], "statements": ["The RNA sequencing (RNA-seq) data and corresponding clinical characteristics and molecular information of gastric cancer samples in training cohort (TCGA-STAD) were downloaded from The Cancer Genome Atlas (TCGA) database by the “TCGAbiolinks” R package in February 2021. The RNA-seq data of normal human stomach samples in GTEx database was downloaded from the University of California Santa Cruz (UCSC, https://xenabrowser.net/datapages/). Besides, the gene expression data and corresponding clinical information of the external validation cohorts (GSE84437, GSE29272) were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/). Furthermore, the somatic mutation data of the TCGA-STAD was downloaded from the websites (https://portal.gdc.cancer.gov/). The 261 ferroptosis-related genes were downloaded from the FerrDb website (http://www.zhounan.org/ferrdb/), updating on 10 March 2021."], "basis": "The paper names GSE84437, GSE29272 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:34745421", "data:geo:GSE29272"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE29272"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:06:23Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 18569, "completion_tokens": 2167, "cached_tokens": 128}}, "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:34745421", "type": "paper", "label": "pmid:34745421"}, {"id": "source:pmid:34745421", "type": "manuscript", "label": "PMID 34745421 full text"}, {"id": "data:geo:GSE29272", "type": "dataset", "label": "GEO GSE29272"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34745421", "type": "paper", "label": "pmid:34745421"}, {"id": "source:pmid:34745421", "type": "manuscript", "label": "PMID 34745421 full text"}, {"id": "data:geo:GSE29272", "type": "dataset", "label": "GEO GSE29272"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34745421", "type": "extraction", "used": ["source:pmid:34745421"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE29272", "type": "accession_resolution", "used": ["data:geo:GSE29272"], "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:34745421", "parent_hash": "sha256:4d6cfbf61d1a179be7b65f31f3b6ac2931a6132c40982136d66a26b12f90f8a1", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE29272 licence not read", "asset:data:geo:GSE29272 not downloaded", "asset:data:geo:GSE84437 licence not read", "asset:data:geo:GSE84437 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": ["nstitute of Digestive Surgery. All the three cell lines were cultured in RPMI-1640 medium (Meilunbio, China) suppl", "stive Surgery. All the three cell lines were cultured in RPMI-1640 medium (Meilunbio, China) suppleme"], "order_basis": "paper_text_order:2130", "id": "assay:1"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["MGC-803 cell lines were all investigated by real-time PCR. The results indicated that the mRNA express", "03 after being treated with 10 μM Erastin by real-time PCR. (i) The plot detects the different protein"], "order_basis": "paper_text_order:9690", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["P1, NOX4, and SP1) were further confirmed by western blot except AIFM2 and SP1 in the HGC-27 cell line", "03 after being treated with 10 μM Erastin by western blot. ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, and ∗∗"], "order_basis": "paper_text_order:10320", "id": "assay:3"}, {"role": "data_generation", "definition_id": "flow_cytometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["MGC-803 cell lines treated with Erastin. The flow cytometry and fluorescence microscope plots verify the"], "order_basis": "paper_text_order:10629", "id": "assay:4"}, {"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": ["In order to minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) regression was utilized to establish a gene prognostic signature and further screen the 10 potential hub genes from the FDEGs by the glmnet R package."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}