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pmid:35866375

A ferroptosis-related gene signature for overall survival prediction and immune infiltration in lung squamous cell carcinoma.

Ti-Wei Miao · De-Qing Yang · Fang-Ying Chen · Qi Zhu · Xin Chen

Bioscience reports · 2022 doi:10.1042/BSR20212835

Paper

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title
A ferroptosis-related gene signature for overall survival prediction and immune infiltration in lung squamous cell carcinoma.
doi
10.1042/BSR20212835
pmid
35866375
authors array · 5 items
[0]
Ti-Wei Miao
[1]
De-Qing Yang
[2]
Fang-Ying Chen
[3]
Qi Zhu
[4]
Xin Chen
journal
Bioscience reports
year
2022
abstract
BACKGROUND: Ferroptosis is associated with cancer initiation and progression. However, the molecular mechanism and prognostic value of ferroptosis-related genes in lung squamous cell carcinoma (LUSC) are poorly understood. METHODS: The mRNA expression profiles, methylation data, and clinical information of patients with LUSC were downloaded from TCGA and GEO database. Ferroptosis-related differentially expressed genes (DEGs) were identified between cancerous and non-cancerous tissues, and their prognostic value was systemically investigated by bioinformatic analyses. RESULTS: A ferroptosis-related gene signature (ALOX5, TFRC, PHKG2, FADS2, NOX1) was constructed using multivariate Cox regression analysis and represented as a risk score. Overall survival (OS) probability was significantly lower in the high-risk group than in the low-risk group (P<0.001), and receiver operating characteristic curve showed a good predictive capacity (AUC = 0.739). The risk score was an independent prognostic factor for LUSC. A nomogram was constructed to predict the OS probabilities at 1, 3, and 5 years. High-risk score was associated with increased immune infiltration, lower methylation levels, higher immune checkpoint genes expression levels, and better chemotherapy response. Cell adhesion molecules, focal adhesion, and extracellular matrix receptor interaction were the main pathways in the high-risk group. The signature was validated using the TCGA test cohort, entire TCGA cohort, GSE30219, GSE157010, GSE73403, and GSE4573 datasets. The gene disorders in patients with LUSC were validated using real-time PCR and single-cell RNA sequencing analysis. CONCLUSIONS: A ferroptosis-related gene signature was constructed to predict OS probability in LUSC. This could facilitate novel therapeutic methods and guide individualized therapy.
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Multivariate Cox regression analysis was applied to construct the prognostic signature.
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sections[17] "Construction of the prognostic signature" paragraph 2
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Multivariate Cox regression analysis was applied to construct the prognostic signature.
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sections[30] "Data Availability" paragraph 2
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The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
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A five-gene ferroptosis-related risk signature stratified LUSC patients by overall survival, with lower OS probability and an AUC of 0.739 in the high-risk group.
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Kaplan–Meier survival curve demonstrated that the high-risk group had a lower OS probability than the low-risk group (P<0.001; Figure 3A), and the area under the ROC curve (AUC) value was 0.739 (Figure 3B).
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sections[17] "Construction of the prognostic signature" paragraph 2
quote
Kaplan–Meier survival curve demonstrated that the high-risk group had a lower OS probability than the low-risk group (P<0.001; Figure 3A), and the area under the ROC curve (AUC) value was 0.739 (Figure 3B).
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A five-gene ferroptosis-related risk signature stratified LUSC patients by overall survival, with lower OS probability and an AUC of 0.739 in the high-risk group.
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Multi-institutional prospective validation of prognostic mRNA signatures in early stage squamous lung cancer (Alliance) [Cohort II]
resolution_checked_at
2026-11-01T18:06:43Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[3] object · 15 fields
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data:geo:GSE30219
role
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geo-series
media_type
application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219
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identifier
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version
null
note
The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
access_statement_kind
data_availability_statement
sample_accessions array · 307 items
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[99]
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[100]
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[150]
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[151]
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[152]
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[154]
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[243]
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[244]
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[254]
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[255]
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[263]
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[264]
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[265]
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[267]
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[268]
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[270]
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[273]
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[274]
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[275]
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[283]
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[284]
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[285]
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[286]
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[287]
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[288]
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[289]
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[290]
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[291]
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[292]
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[293]
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[294]
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[295]
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[296]
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[297]
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[298]
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[299]
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[300]
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[302]
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[303]
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[304]
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[305]
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[306]
GSM748366
sample_count
307
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE4573
role
raw
format
geo-series
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application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4573
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE4573
version
null
note
The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
access_statement_kind
data_availability_statement
sample_accessions array · 130 items
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GSM102114
[1]
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[2]
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[3]
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[4]
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[5]
GSM102119
[6]
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[7]
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[8]
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[9]
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[10]
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[11]
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[12]
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[13]
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[14]
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[15]
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[17]
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[20]
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[22]
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[25]
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[29]
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[34]
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[36]
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[38]
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[39]
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[40]
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[43]
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[44]
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[45]
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[50]
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[51]
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[55]
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[57]
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[59]
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[60]
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[62]
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[63]
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[64]
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[66]
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[67]
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[68]
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[69]
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[70]
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[73]
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[74]
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[78]
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[79]
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[80]
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[82]
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[84]
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[85]
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[86]
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[87]
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[89]
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[90]
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[91]
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[92]
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[94]
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[96]
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[97]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
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[105]
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[106]
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[107]
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[109]
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[110]
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[111]
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[112]
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[113]
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[114]
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[116]
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[117]
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[118]
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[119]
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[120]
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[125]
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[127]
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[128]
GSM102242
[129]
GSM102243
sample_count
130
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Gene expression signatures for predicting prognosis of squamous cell lung carcinomas
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE73403
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73403
sha256
null
bytes
null
access
open
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resolved
reader
null
reader_status
reader_required
identifier
GSE73403
version
null
note
The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
access_statement_kind
data_availability_statement
sample_accessions array · 69 items
[0]
GSM1892818
[1]
GSM1892819
[2]
GSM1892820
[3]
GSM1892821
[4]
GSM1892822
[5]
GSM1892823
[6]
GSM1892824
[7]
GSM1892825
[8]
GSM1892826
[9]
GSM1892827
[10]
GSM1892828
[11]
GSM1892829
[12]
GSM1892830
[13]
GSM1892831
[14]
GSM1892832
[15]
GSM1892833
[16]
GSM1892834
[17]
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[18]
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[19]
GSM1892837
[20]
GSM1892838
[21]
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[22]
GSM1892840
[23]
GSM1892841
[24]
GSM1892842
[25]
GSM1892843
[26]
GSM1892844
[27]
GSM1892845
[28]
GSM1892846
[29]
GSM1892847
[30]
GSM1892848
[31]
GSM1892849
[32]
GSM1892850
[33]
GSM1892851
[34]
GSM1892852
[35]
GSM1892853
[36]
GSM1892854
[37]
GSM1892855
[38]
GSM1892856
[39]
GSM1892857
[40]
GSM1892858
[41]
GSM1892859
[42]
GSM1892860
[43]
GSM1892861
[44]
GSM1892862
[45]
GSM1892863
[46]
GSM1892864
[47]
GSM1892865
[48]
GSM1892866
[49]
GSM1892867
[50]
GSM1892868
[51]
GSM1892869
[52]
GSM1892870
[53]
GSM1892871
[54]
GSM1892872
[55]
GSM1892873
[56]
GSM1892874
[57]
GSM1892875
[58]
GSM1892876
[59]
GSM1892877
[60]
GSM1892878
[61]
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[62]
GSM1892880
[63]
GSM1892881
[64]
GSM1892882
[65]
GSM1892883
[66]
GSM1892884
[67]
GSM1892885
[68]
GSM1892886
sample_count
69
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
Sixty-nine samples obtained from surgical excision with overall survival.
resolution_checked_at
2026-11-01T18:06:44Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE111907 not downloaded
[1]
asset:data:geo:GSE111907 licence not read
[2]
asset:data:geo:GSE157010 not downloaded
[3]
asset:data:geo:GSE157010 licence not read
[4]
asset:data:geo:GSE30219 not downloaded
[5]
asset:data:geo:GSE30219 licence not read
[6]
asset:data:geo:GSE4573 not downloaded
[7]
asset:data:geo:GSE4573 licence not read
[8]
asset:data:geo:GSE73403 not downloaded
[9]
asset:data:geo:GSE73403 licence not read
analysis object · 4 fields
state
partial
methods array · 2 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
Multivariate Cox regression analysis was applied to construct the prognostic signature.
[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
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
cox_ph
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 · 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
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
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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
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accessions array · 5 items
[0]
GSE30219
[1]
GSE157010
[2]
GSE73403
[3]
GSE4573
[4]
GSE111907
resolved_accessions array · 5 items
[0]
GSE30219
[1]
GSE157010
[2]
GSE73403
[3]
GSE4573
[4]
GSE111907
statements array · 1 item
[0]
The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).
basis
The paper names GSE30219, GSE157010, GSE73403, GSE4573, GSE111907 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
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cox_ph
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[0]
source:pmid:35866375
[1]
data:geo:GSE111907
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run_analysis
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE111907
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:56:44Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
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5
usage object · 3 fields
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17364
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1882
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128
stages array · 1 item
[0] object · 4 fields
id
extraction
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pmid:35866375
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paper
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pmid:35866375
[1] object · 3 fields
id
source:pmid:35866375
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manuscript
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PMID 35866375 full text
[2] object · 3 fields
id
data:geo:GSE111907
type
dataset
label
GEO GSE111907
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
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pmid:35866375
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paper
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pmid:35866375
[1] object · 3 fields
id
source:pmid:35866375
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manuscript
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PMID 35866375 full text
[2] object · 3 fields
id
data:geo:GSE111907
type
dataset
label
GEO GSE111907
agent
agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-35866375
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extraction
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source:pmid:35866375
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-GSE111907
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accession_resolution
used array · 1 item
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data:geo:GSE111907
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agent:corpus-assay-engine
agents array · 2 items
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agent:corpus-assay-engine
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agent:minimax-reader
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343fb30756ba6ec3
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lineage object · 4 fields
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pmid:35866375
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sha256:a50723571af380e5f6cc446109d7c6bcc3b1ac90b1e40100c20b954d7f38bf16
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null
gaps array · 15 items
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asset:data:geo:GSE111907 not downloaded
[2]
asset:data:geo:GSE157010 licence not read
[3]
asset:data:geo:GSE157010 not downloaded
[4]
asset:data:geo:GSE30219 licence not read
[5]
asset:data:geo:GSE30219 not downloaded
[6]
asset:data:geo:GSE4573 licence not read
[7]
asset:data:geo:GSE4573 not downloaded
[8]
asset:data:geo:GSE73403 licence not read
[9]
asset:data:geo:GSE73403 not downloaded
[10]
execution.not_run
[11]
method.reader_differs_from_extractor
[12]
review.human_critique
[13]
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review.machine_critique
assays array · 4 items
[0] object · 11 fields
role
data_generation
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99e1195c7d6f
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support_state
partial
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99e1195c7d6f
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0.93
evidence array · 1 item
[0]
s in patients with LUSC were validated using real-time PCR and single-cell RNA sequencing analysis. CON
order_basis
paper_text_order:1684
id
assay:1
[1] object · 11 fields
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data_generation
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scrna_seq
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99e1195c7d6f
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unsupported
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99e1195c7d6f
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0.93
evidence array · 1 item
[0]
LUSC were validated using real-time PCR and single-cell RNA sequencing analysis. CONCLUSIONS: A ferroptosis-related
order_basis
paper_text_order:1703
id
assay:2
[2] object · 11 fields
role
data_generation
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rna_seq
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99e1195c7d6f
required_operations array · 0 items
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assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
alidated using real-time PCR and single-cell RNA sequencing analysis. CONCLUSIONS: A ferroptosis-related
order_basis
paper_text_order:1714
id
assay:3
[3] object · 11 fields
role
analysis
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survival_analysis
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f2132e96ae6c7a4e
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cox_ph
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supported
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Multivariate Cox regression analysis was applied to construct the prognostic signature.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35866375", "kind": "science-record", "revision": 4, "content_hash": "sha256:f7eb244fef9b415bb3553990cb46582923d868df8b5f60816ed4376e8d7cec2e", "created_at": "2026-11-01T18:14:57Z", "updated_at": "2026-11-01T22:07:06Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A ferroptosis-related gene signature for overall survival prediction and immune infiltration in lung squamous cell carcinoma.", "doi": "10.1042/BSR20212835", "pmid": "35866375", "authors": ["Ti-Wei Miao", "De-Qing Yang", "Fang-Ying Chen", "Qi Zhu", "Xin Chen"], "journal": "Bioscience reports", "year": 2022, "abstract": "BACKGROUND: Ferroptosis is associated with cancer initiation and progression. However, the molecular mechanism and prognostic value of ferroptosis-related genes in lung squamous cell carcinoma (LUSC) are poorly understood.\nMETHODS: The mRNA expression profiles, methylation data, and clinical information of patients with LUSC were downloaded from TCGA and GEO database. Ferroptosis-related differentially expressed genes (DEGs) were identified between cancerous and non-cancerous tissues, and their prognostic value was systemically investigated by bioinformatic analyses.\nRESULTS: A ferroptosis-related gene signature (ALOX5, TFRC, PHKG2, FADS2, NOX1) was constructed using multivariate Cox regression analysis and represented as a risk score. Overall survival (OS) probability was significantly lower in the high-risk group than in the low-risk group (P<0.001), and receiver operating characteristic curve showed a good predictive capacity (AUC = 0.739). The risk score was an independent prognostic factor for LUSC. A nomogram was constructed to predict the OS probabilities at 1, 3, and 5 years. High-risk score was associated with increased immune infiltration, lower methylation levels, higher immune checkpoint genes expression levels, and better chemotherapy response. Cell adhesion molecules, focal adhesion, and extracellular matrix receptor interaction were the main pathways in the high-risk group. The signature was validated using the TCGA test cohort, entire TCGA cohort, GSE30219, GSE157010, GSE73403, and GSE4573 datasets. The gene disorders in patients with LUSC were validated using real-time PCR and single-cell RNA sequencing analysis.\nCONCLUSIONS: A ferroptosis-related gene signature was constructed to predict OS probability in LUSC. This could facilitate novel therapeutic methods and guide individualized therapy.", "claims": [{"id": "claim-method", "statement": "Multivariate Cox regression analysis was applied to construct the prognostic signature.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35866375", "locator": "sections[17] \"Construction of the prognostic signature\" paragraph 2", "quote": "Multivariate Cox regression analysis was applied to construct the prognostic signature."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35866375", "locator": "sections[30] \"Data Availability\" paragraph 2", "quote": "The data used to support the findings of the present study are available from TCGA database (https://portal.gdc.cancer.gov/) and GEO datasets (https://www.ncbi.nlm.nih.gov/gds/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A five-gene ferroptosis-related risk signature stratified LUSC patients by overall survival, with lower OS probability and an AUC of 0.739 in the high-risk group.", "kind": "quantitative", "target": {"value": 0.001, "unit": "p-value", "tolerance": null, "source": "Kaplan–Meier survival curve demonstrated that the high-risk group had a lower OS probability than the low-risk group (P<0.001; Figure 3A), and the area under the ROC curve (AUC) value was 0.739 (Figure 3B)."}, "evidence": [{"asset": "source:pmid:35866375", "locator": "sections[17] \"Construction of the prognostic signature\" paragraph 2", "quote": "Kaplan–Meier survival curve demonstrated that the high-risk group had a lower OS probability than the low-risk group (P<0.001; Figure 3A), and the area under the ROC curve (AUC) value was 0.739 (Figure 3B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A five-gene ferroptosis-related risk signature stratified LUSC patients by overall survival, with lower OS probability and an AUC of 0.739 in the high-risk group.", "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:35866375"], "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:GSE111907"], "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:GSE111907"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35866375", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1042/BSR20212835", "sha256": 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A run that reproduces the effect is judged against this threshold."}], "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": "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. 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CON"], "order_basis": "paper_text_order:1684", "id": "assay:1"}, {"role": "data_generation", "definition_id": "scrna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "unsupported", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["LUSC were validated using real-time PCR and single-cell RNA sequencing analysis. CONCLUSIONS: A ferroptosis-related"], "order_basis": "paper_text_order:1703", "id": "assay:2"}, {"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["alidated using real-time PCR and single-cell RNA sequencing analysis. CONCLUSIONS: A ferroptosis-related"], "order_basis": "paper_text_order:1714", "id": "assay:3"}, {"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": ["Multivariate Cox regression analysis was applied to construct the prognostic signature."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}