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pmid:35205284

Identification of a Four-Gene Signature Associated with the Prognosis Prediction of Lung Adenocarcinoma Based on Integrated Bioinformatics Analysis.

Yuan Wu · Lingge Yang · Long Zhang · Xinjie Zheng · Huan Xu · Kai Wang · Xianwu Weng

Genes · 2022 doi:10.3390/genes13020238

Paper

complete

Experiment

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Data

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title
Identification of a Four-Gene Signature Associated with the Prognosis Prediction of Lung Adenocarcinoma Based on Integrated Bioinformatics Analysis.
doi
10.3390/genes13020238
pmid
35205284
authors array · 7 items
[0]
Yuan Wu
[1]
Lingge Yang
[2]
Long Zhang
[3]
Xinjie Zheng
[4]
Huan Xu
[5]
Kai Wang
[6]
Xianwu Weng
journal
Genes
year
2022
abstract
Lung adenocarcinoma (LUAD) is often diagnosed at an advanced stage, so it is necessary to identify potential biomarkers for the early diagnosis and prognosis of LUAD. In our study, a gene co-expression network was constructed using weighted gene co-expression network analysis (WGCNA) in order to obtain the key modules and genes correlated with LUAD prognosis. Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)-Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..Furthermore, the prognostic values of this four-gene signature were verified in four validation sets (GSE26939, GSE31210, GSE72094, and TCGA-LUAD) as well as in the GEPIA database. To assess the prognostic values of hub genes, receiver operating characteristic (ROC) curves were constructed and a nomogram was created. We found that a higher expression of four hub genes was associated with a lower risk of patient death. In a training set, it was demonstrated that this four-gene signature was a better prognostic factor than clinical factors such as age and stage of disease. Moreover, our results revealed that these four genes were suppressor factors of LUAD and that their high expression was associated with a lower risk of death. In summary, we demonstrated that this four-gene signature could be a potential prognostic factor for LUAD patients. These findings provide a theoretical basis for exploring potential biomarkers for LUAD prognosis prediction in the future.
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Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)–Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..
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Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)–Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..
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Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
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Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
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The four-gene HLF, CHRDL1, SELENBP1, and TMEM163 signature was established using weighted gene co-expression network analysis and LASSO-Cox regression and validated as a prognostic factor for overall survival in LUAD.
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In summary, we demonstrated that this four-gene signature could be a potential prognostic factor for LUAD patients.
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Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)–Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..Furthermore, the prognostic values of this four-gene signature were verified in four validation sets (GSE26939, GSE31210, GSE72094, and TCGA-LUAD) as well as in the GEPIA database.
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The four-gene HLF, CHRDL1, SELENBP1, and TMEM163 signature was established using weighted gene co-expression network analysis and LASSO-Cox regression and validated as a prognostic factor for overall survival in LUAD.
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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
[3] object · 15 fields
id
data:geo:GSE31210
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=GSE31210
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null
bytes
null
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reader_status
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identifier
GSE31210
version
null
note
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
access_statement_kind
data_availability_statement
sample_accessions array · 246 items
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[113]
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[114]
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[117]
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[119]
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[162]
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[168]
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[169]
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[170]
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[171]
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[245]
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sample_count
246
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression data for pathological stage I-II lung adenocarcinomas
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:GSE37745
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=GSE37745
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37745
version
null
note
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
access_statement_kind
data_availability_statement
sample_accessions array · 196 items
[0]
GSM1019138
[1]
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[2]
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[24]
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[26]
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[28]
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[29]
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[30]
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[31]
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[32]
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[33]
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[34]
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[35]
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[38]
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[39]
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[40]
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[41]
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[42]
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[43]
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[44]
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[45]
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[46]
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[47]
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[48]
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[49]
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[50]
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[51]
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[52]
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[53]
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[54]
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[55]
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[56]
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[57]
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[58]
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[59]
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[60]
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[61]
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[62]
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[63]
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[64]
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[65]
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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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[72]
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[75]
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[89]
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[90]
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[91]
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[98]
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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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[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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[115]
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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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[121]
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[122]
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[123]
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[124]
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[125]
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[191]
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[194]
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[195]
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sample_count
196
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation
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:GSE50081
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=GSE50081
sha256
null
bytes
null
access
open
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resolved
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null
reader_status
reader_required
identifier
GSE50081
version
null
note
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
access_statement_kind
data_availability_statement
sample_accessions array · 181 items
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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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[16]
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[17]
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[18]
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[19]
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[20]
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[21]
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[22]
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[23]
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[24]
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[25]
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[26]
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[27]
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[28]
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[29]
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[30]
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[31]
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[32]
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[33]
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[34]
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[35]
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[36]
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[37]
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[38]
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[39]
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[40]
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[41]
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[42]
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[43]
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[44]
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[45]
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[46]
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[47]
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[48]
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[49]
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[50]
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[51]
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[52]
GSM1213721
[53]
GSM1213722
[54]
GSM1213723
[55]
GSM1213724
[56]
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[57]
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[58]
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[59]
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[60]
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[61]
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[62]
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[63]
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[64]
GSM1213733
[65]
GSM1213734
[66]
GSM1213735
[67]
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[68]
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[69]
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[70]
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[71]
GSM1213740
[72]
GSM1213741
[73]
GSM1213742
[74]
GSM1213743
[75]
GSM1213744
[76]
GSM1213745
[77]
GSM1213746
[78]
GSM1213747
[79]
GSM1213748
[80]
GSM1213749
[81]
GSM1213750
[82]
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[83]
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[84]
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[85]
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[86]
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[87]
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[88]
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[89]
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[90]
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[91]
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[92]
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[93]
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[94]
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[95]
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[96]
GSM1213765
[97]
GSM1213766
[98]
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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]
GSM1213775
[107]
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[108]
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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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[115]
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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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[121]
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[122]
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[123]
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[124]
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[125]
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[126]
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[127]
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[128]
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[129]
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[130]
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[131]
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[132]
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[133]
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[134]
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[135]
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[136]
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sample_count
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group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[6] object · 15 fields
id
data:geo:GSE72094
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=GSE72094
sha256
null
bytes
null
access
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resolved
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reader_status
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identifier
GSE72094
version
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note
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
access_statement_kind
data_availability_statement
sample_accessions array · 442 items
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[256]
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[441]
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sample_count
442
group_sizes
null
group_sizes_basis
null
platform
15048
taxon
Homo sapiens
title
KRAS mutation-associated gene expression, p53 and STK11 mutations, proliferation and immune surveillance in lung adenocarcinoma
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 · 12 items
[0]
asset:data:geo:GSE26939 not downloaded
[1]
asset:data:geo:GSE26939 licence not read
[2]
asset:data:geo:GSE30219 not downloaded
[3]
asset:data:geo:GSE30219 licence not read
[4]
asset:data:geo:GSE31210 not downloaded
[5]
asset:data:geo:GSE31210 licence not read
[6]
asset:data:geo:GSE37745 not downloaded
[7]
asset:data:geo:GSE37745 licence not read
[8]
asset:data:geo:GSE50081 not downloaded
[9]
asset:data:geo:GSE50081 licence not read
[10]
asset:data:geo:GSE72094 not downloaded
[11]
asset:data:geo:GSE72094 licence not read
analysis object · 4 fields
state
complete
methods array · 1 item
[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
Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)–Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..
targets array · 0 items
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 · 6 items
[0]
GSE30219
[1]
GSE37745
[2]
GSE50081
[3]
GSE26939
[4]
GSE31210
[5]
GSE72094
resolved_accessions array · 6 items
[0]
GSE30219
[1]
GSE37745
[2]
GSE50081
[3]
GSE26939
[4]
GSE31210
[5]
GSE72094
statements array · 1 item
[0]
Data Availability StatementThe datasets in the current study are open to the public at the NCBI Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database.
basis
The paper names GSE30219, GSE37745, GSE50081, GSE26939, GSE31210, GSE72094 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:35205284
[1]
data:geo:GSE26939
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:GSE26939
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
2026-11-01T17:35:46Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11944
completion_tokens
2912
cached_tokens
188
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:35205284
type
paper
label
pmid:35205284
[1] object · 3 fields
id
source:pmid:35205284
type
manuscript
label
PMID 35205284 full text
[2] object · 3 fields
id
data:geo:GSE26939
type
dataset
label
GEO GSE26939
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
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pmid:35205284
type
paper
label
pmid:35205284
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id
source:pmid:35205284
type
manuscript
label
PMID 35205284 full text
[2] object · 3 fields
id
data:geo:GSE26939
type
dataset
label
GEO GSE26939
agent
agent:corpus-assay-engine
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id
activity-read-35205284
type
extraction
used array · 1 item
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source:pmid:35205284
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE26939
type
accession_resolution
used array · 1 item
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data:geo:GSE26939
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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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id
agent:minimax-reader
type
software
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MiniMax literature reader
source_run_id
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:35205284
parent_hash
sha256:07d455b442c1ee61bcd0c470ad309c6dfb11c9cb374d48643d54ad5bcbfb460f
fork_of
null
gaps array · 16 items
[0]
asset:data:geo:GSE26939 licence not read
[1]
asset:data:geo:GSE26939 not downloaded
[2]
asset:data:geo:GSE30219 licence not read
[3]
asset:data:geo:GSE30219 not downloaded
[4]
asset:data:geo:GSE31210 licence not read
[5]
asset:data:geo:GSE31210 not downloaded
[6]
asset:data:geo:GSE37745 licence not read
[7]
asset:data:geo:GSE37745 not downloaded
[8]
asset:data:geo:GSE50081 licence not read
[9]
asset:data:geo:GSE50081 not downloaded
[10]
asset:data:geo:GSE72094 licence not read
[11]
asset:data:geo:GSE72094 not downloaded
[12]
execution.not_run
[13]
review.human_critique
[14]
review.independent_reader
[15]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
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cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)–Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..
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assay:1
Complete file
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In our study, a gene co-expression network was constructed using weighted gene co-expression network analysis (WGCNA) in order to obtain the key modules and genes correlated with LUAD prognosis. Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)-Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..Furthermore, the prognostic values of this four-gene signature were verified in four validation sets (GSE26939, GSE31210, GSE72094, and TCGA-LUAD) as well as in the GEPIA database. To assess the prognostic values of hub genes, receiver operating characteristic (ROC) curves were constructed and a nomogram was created. We found that a higher expression of four hub genes was associated with a lower risk of patient death. In a training set, it was demonstrated that this four-gene signature was a better prognostic factor than clinical factors such as age and stage of disease. Moreover, our results revealed that these four genes were suppressor factors of LUAD and that their high expression was associated with a lower risk of death. In summary, we demonstrated that this four-gene signature could be a potential prognostic factor for LUAD patients. 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