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pmid:34868341

Identification of Differentially Expressed Genes Reveals BGN Predicting Overall Survival and Tumor Immune Infiltration of Gastric Cancer.

Weizhi Chen · Zhongheng Yang

Computational and mathematical methods in medicine · 2021 doi:10.1155/2021/5494840

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Experiment

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title
Identification of Differentially Expressed Genes Reveals BGN Predicting Overall Survival and Tumor Immune Infiltration of Gastric Cancer.
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10.1155/2021/5494840
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34868341
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Weizhi Chen
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Zhongheng Yang
journal
Computational and mathematical methods in medicine
year
2021
abstract
Gastric cancer (GC) is one of the most widely occurring malignancies worldwide. Although the diagnosis and treatment strategies of GC have been greatly improved in the past few decades, the morbidity and lethality rates of GC are still rising due to lacking early diagnosis strategies and powerful treatments. In this study, a total of 37 differentially expressed genes were identified in GC by analyzing TCGA, GSE118897, GSE19826, and GSE54129. Using the PPI database, we identified 17 hub genes in GC. By analyzing the expression of hub genes and OS, MFAP2, BGN, and TREM1 were related to the prognosis of GC. In addition, our results showed that higher levels of BGN exhibited a significant correlation with shorter OS time in GC. Nomogram analysis showed that the dysregulation of BGN could predict the prognosis of GC. Moreover, we revealed that BGN had a markedly negative correlation with B cells but had positive correlations with CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells in GC samples. The pan-cancer analysis demonstrated that BGN was differentially expressed and related to tumor-infiltrating immune cells across human cancers. This study for the first time comprehensively revealed that BGN was a potential biomarker for the prediction of GC prognosis and tumor immune infiltration.
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sections[8] "2.6. Survival Analysis" paragraph 2
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The survival and survminer packages in R were employed to compare the OS between groups by Kaplan-Meier analysis.
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The data used during the present study are available from the corresponding author upon reasonable request.
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BGN achieved 1-, 3-, and 5-year AUC values of 0.536, 0.614, and 0.761 for predicting overall survival in gastric cancer.
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sections[13] "3.3. The Dysregulation of Hub Genes Was Correlated to Shorter Overall Survival (OS) Time in GC" paragraph 2
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The 1-, 3-, and 5-year AUC values for the BGN were 0.536, 0.614, and 0.761 (Figure 2(h)).
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BGN achieved 1-, 3-, and 5-year AUC values of 0.536, 0.614, and 0.761 for predicting overall survival in gastric cancer.
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Homo sapiens
title
Expression data from gastric cancer
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:GSE29272
role
raw
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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=GSE29272
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null
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null
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open
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resolved
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null
reader_status
reader_required
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GSE29272
version
null
note
The data used during the present study are available from the corresponding author upon reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used during the present study are available from the corresponding author upon reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 268 items
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sample_count
268
group_sizes
null
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null
platform
96
taxon
Homo sapiens
title
Affymetrix gene expression array data for cardia and non-cardia gastric cancer samples
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE54129
role
raw
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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=GSE54129
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null
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null
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resolved
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null
reader_status
reader_required
identifier
GSE54129
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null
note
The data used during the present study are available from the corresponding author upon reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used during the present study are available from the corresponding author upon reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 132 items
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[48]
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[131]
GSM1308523
sample_count
132
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Global gene expression analysis of gastric cancer by oligonucleotide microarrays
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 15 fields
id
data:geo:GSE62254
role
raw
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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=GSE62254
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null
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null
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resolved
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null
reader_status
reader_required
identifier
GSE62254
version
null
note
The data used during the present study are available from the corresponding author upon reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used during the present study are available from the corresponding author upon reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 300 items
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[52]
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[53]
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[54]
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[55]
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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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[67]
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[68]
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[69]
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[70]
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[71]
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[72]
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[73]
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[74]
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[75]
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[76]
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[77]
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[78]
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[79]
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[80]
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[81]
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[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]
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[97]
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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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[106]
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[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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[114]
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null
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Homo sapiens
title
Molecular analysis of gastric cancer identifies discrete subtypes associated with distinct clinical characteristics and survival outcomes: the ACRG (Asian Cancer Research Group) study [gastric tumors]
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2026-11-01T15:39:55Z
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[0]
The data used during the present study are available from the corresponding author upon reasonable request.
basis
The paper names GSE118897, GSE19826, GSE54129, GSE29272, GSE62254, GSE14210, GSE15459 in GSE118897 dataset and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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minimax
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single_reader
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verbatim
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extraction
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manuscript
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GEO GSE118897
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GEO GSE118897
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34868341", "kind": "science-record", "revision": 4, "content_hash": "sha256:ae025618878610d017beb1b1d2d36a52efdb7a6868751b2dfde0701fa3e79b63", "created_at": "2026-11-01T17:36:34Z", "updated_at": "2026-11-01T22:05:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Differentially Expressed Genes Reveals BGN Predicting Overall Survival and Tumor Immune Infiltration of Gastric Cancer.", "doi": "10.1155/2021/5494840", "pmid": "34868341", "authors": ["Weizhi Chen", "Zhongheng Yang"], "journal": "Computational and mathematical methods in medicine", "year": 2021, "abstract": "Gastric cancer (GC) is one of the most widely occurring malignancies worldwide. Although the diagnosis and treatment strategies of GC have been greatly improved in the past few decades, the morbidity and lethality rates of GC are still rising due to lacking early diagnosis strategies and powerful treatments. In this study, a total of 37 differentially expressed genes were identified in GC by analyzing TCGA, GSE118897, GSE19826, and GSE54129. Using the PPI database, we identified 17 hub genes in GC. By analyzing the expression of hub genes and OS, MFAP2, BGN, and TREM1 were related to the prognosis of GC. In addition, our results showed that higher levels of BGN exhibited a significant correlation with shorter OS time in GC. Nomogram analysis showed that the dysregulation of BGN could predict the prognosis of GC. Moreover, we revealed that BGN had a markedly negative correlation with B cells but had positive correlations with CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells in GC samples. The pan-cancer analysis demonstrated that BGN was differentially expressed and related to tumor-infiltrating immune cells across human cancers. This study for the first time comprehensively revealed that BGN was a potential biomarker for the prediction of GC prognosis and tumor immune infiltration.", "claims": [{"id": "claim-method", "statement": "The survival and survminer packages in R were employed to compare the OS between groups by Kaplan-Meier analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34868341", "locator": "sections[8] \"2.6. Survival Analysis\" paragraph 2", "quote": "The survival and survminer packages in R were employed to compare the OS between groups by Kaplan-Meier analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used during the present study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34868341", "locator": "sections[21] \"Data Availability\" paragraph 2", "quote": "The data used during the present study are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "BGN achieved 1-, 3-, and 5-year AUC values of 0.536, 0.614, and 0.761 for predicting overall survival in gastric cancer.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34868341", "locator": "sections[13] \"3.3. 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