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pmid:34178625

Construction and Validation of a Universal Applicable Prognostic Signature for Gastric Cancer Based on Seven Immune-Related Gene Correlated With Tumor Associated Macrophages.

Junyu Huo · Liqun Wu · Yunjin Zang

Frontiers in oncology · 2021 doi:10.3389/fonc.2021.635324

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Experiment

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Data

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title
Construction and Validation of a Universal Applicable Prognostic Signature for Gastric Cancer Based on Seven Immune-Related Gene Correlated With Tumor Associated Macrophages.
doi
10.3389/fonc.2021.635324
pmid
34178625
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Junyu Huo
[1]
Liqun Wu
[2]
Yunjin Zang
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Frontiers in oncology
year
2021
abstract
BACKGROUND: Tumor-associated macrophages (TAMs) play a critical role in the progression of malignant tumors, but the detailed mechanism of TAMs in gastric cancer (GC) is still not fully explored. METHODS: We identified differentially expressed immune-related genes (DEIRGs) between GC samples with high and low macrophage infiltration in The Cancer Genome Atlas datasets. A risk score was constructed based on univariate Cox analysis and Lasso penalized Cox regression analysis in the TCGA cohort (n=341). The optimal cutoff determined by the 5-year time-dependent receiver operating characteristic (ROC) curve was considered to classify patients into groups with high and low risk. We conducted external validation of the prognostic signature in four independent cohorts (GSE84437, n=431; GSE62254, n=300; GSE15459, n=191; and GSE26901, n=109) from the Gene Expression Omnibus (GEO) database. RESULTS: The signature consisting of 7 genes (FGF1, GRP, AVPR1A, APOD, PDGFRL, CXCR4, and CSF1R) showed good performance in predicting overall survival (OS) in the 5 independent cohorts. The risk score presented an obviously positive correlation with macrophage abundance (cor=0.7, p<0.001). A significant difference was found between the high- and low-risk groups regarding the overall survival of GC patients. The high-risk group exhibited a higher infiltration level of M2 macrophages estimated by the CIBERSORT algorithm. In the five independent cohorts, the risk score was highly positively correlated with the stromal cell score, suggesting that we can also evaluate the infiltration of stromal cells in the tumor microenvironment according to the risk score. CONCLUSION: Our study developed and validated a general applicable prognostic model for GC from the perspective of TAMs, which may help to improve the precise treatment strategy of GC.
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A total of 283 DEIRGs were identified by the Wilcox test in the “limma” R package ( Figure 2B ).
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A total of 283 DEIRGs were identified by the Wilcox test in the “limma” R package ( Figure 2B ).
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Publicly available datasets were analyzed in this study. This data can be found here: The datasets analyzed for this study were obtained from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/), Tumor IMmune Estimation Resource Web Server (TIMER, https://cistrome.shinyapps.io/timer/), and Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/).
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Publicly available datasets were analyzed in this study. This data can be found here: The datasets analyzed for this study were obtained from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/), Tumor IMmune Estimation Resource Web Server (TIMER, https://cistrome.shinyapps.io/timer/), and Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/).
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sample_count
300
group_sizes
null
group_sizes_basis
null
platform
570
taxon
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]
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE84437
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=GSE84437
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE84437
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: The datasets analyzed for this study were obtained from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/), Tumor IMmune Estimation Resource Web Server (TIMER, https://cistrome.shinyapps.io/timer/), and Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: The datasets analyzed for this study were obtained from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/), Tumor IMmune Estimation Resource Web Server (TIMER, https://cistrome.shinyapps.io/timer/), and Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/).
access_statement_kind
data_availability_statement
sample_accessions array · 483 items
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6947
taxon
Homo sapiens
title
Molecular subtypes in gastric cancer.
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2026-11-01T15:39:55Z
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The clinical data of the 5 independent cohorts.
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Data Acquisition
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Table 1
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The clinical data of the 5 independent cohorts.
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[0] array · 6 items
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[1]
TCGA (n=341)
[2]
GSE84437 (n=431)
[3]
GSE62254 (n=300)
[4]
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[5]
GSE26901 (n=109)
[1] array · 4 items
[0]
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[2]
[3]
[2] array · 6 items
[0]
alive
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200
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224
[3]
148
[4]
96
[5]
54
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dead
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141
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207
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152
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95
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55
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[0]
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184
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150
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97
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105
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154
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283
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136
[4]
87
[5]
85
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[0]
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115
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137
[3]
74
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67
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40
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223
[2]
296
[3]
159
[4]
125
[5]
69
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[0]
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[0]
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[1]
131
[2]
[12] array · 3 items
[0]
G3
[1]
201
[2]
[13] array · 2 items
[0]
stage T
[1]
[14] array · 4 items
[0]
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[1]
88
[2]
49
[3]
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156
[2]
92
[3]
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93
[2]
292
[3]
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[1]
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[1]
100
[2]
80
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91
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188
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[1]
71
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132
[3]
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N3
[1]
68
[2]
33
[3]
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[0]
stage M
[1]
[23] array · 3 items
[0]
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[1]
304
[2]
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M1
[1]
23
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[0]
stage TNM
[1]
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I-II
[1]
152
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[3]
139
[4]
60
[5]
58
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III
[1]
140
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[3]
75
[4]
72
[5]
36
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IV
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35
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19
[4]
60
[5]
15
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102
[3]
122
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75
[5]
11
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Intestinal
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119
[3]
105
[4]
99
[5]
82
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[0]
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[2]
10
[3]
6
[4]
18
[5]
5
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[0]
Perineural Invasion
[1]
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[0]
YES
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[2]
86
[3]
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[0]
NO
[1]
[2]
147
[3]
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[0]
lymphovascular
[1]
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[0]
YES
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[2]
171
[3]
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NO
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[2]
62
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[0]
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Invasive
[1]
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51
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40
[3]
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[2]
70
[3]
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[2]
31
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[0]
stage M
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M0
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304
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[5]
102
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23
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[5]
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39
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70
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section[3]/table-wrap[1]#T1
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asset:data:geo:GSE62254 not downloaded
[5]
asset:data:geo:GSE62254 licence not read
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cox_ph
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Cox regression
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gnificance was set as a p value of the log rank test le
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limma
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verbatim
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A total of 283 DEIRGs were identified by the Wilcox test in the “limma” R package ( Figure 2B ).
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gwas
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Automated Assays Laravel application and simulated adapters
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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Publicly available datasets were analyzed in this study. This data can be found here: The datasets analyzed for this study were obtained from The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/), Tumor IMmune Estimation Resource Web Server (TIMER, https://cistrome.shinyapps.io/timer/), and Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/).
basis
The paper names GSE84437, GSE62254, GSE15459, GSE26901 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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tients With Gastric Cancer A total of 341 GC patients were assigned to the high and low macrophage infiltration
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34178625", "kind": "science-record", "revision": 7, "content_hash": "sha256:db99eebe6d96ebbe85c6c60ce888abeef98e97252f429c106b3cbd5d45218d3b", "created_at": "2026-11-01T15:41:40Z", "updated_at": "2026-11-01T22:04:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Construction and Validation of a Universal Applicable Prognostic Signature for Gastric Cancer Based on Seven Immune-Related Gene Correlated With Tumor Associated Macrophages.", "doi": "10.3389/fonc.2021.635324", "pmid": "34178625", "authors": ["Junyu Huo", "Liqun Wu", "Yunjin Zang"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "BACKGROUND: Tumor-associated macrophages (TAMs) play a critical role in the progression of malignant tumors, but the detailed mechanism of TAMs in gastric cancer (GC) is still not fully explored.\nMETHODS: We identified differentially expressed immune-related genes (DEIRGs) between GC samples with high and low macrophage infiltration in The Cancer Genome Atlas datasets. A risk score was constructed based on univariate Cox analysis and Lasso penalized Cox regression analysis in the TCGA cohort (n=341). The optimal cutoff determined by the 5-year time-dependent receiver operating characteristic (ROC) curve was considered to classify patients into groups with high and low risk. We conducted external validation of the prognostic signature in four independent cohorts (GSE84437, n=431; GSE62254, n=300; GSE15459, n=191; and GSE26901, n=109) from the Gene Expression Omnibus (GEO) database.\nRESULTS: The signature consisting of 7 genes (FGF1, GRP, AVPR1A, APOD, PDGFRL, CXCR4, and CSF1R) showed good performance in predicting overall survival (OS) in the 5 independent cohorts. The risk score presented an obviously positive correlation with macrophage abundance (cor=0.7, p<0.001). A significant difference was found between the high- and low-risk groups regarding the overall survival of GC patients. The high-risk group exhibited a higher infiltration level of M2 macrophages estimated by the CIBERSORT algorithm. In the five independent cohorts, the risk score was highly positively correlated with the stromal cell score, suggesting that we can also evaluate the infiltration of stromal cells in the tumor microenvironment according to the risk score.\nCONCLUSION: Our study developed and validated a general applicable prognostic model for GC from the perspective of TAMs, which may help to improve the precise treatment strategy of GC.", "claims": [{"id": "claim-method", "statement": "A total of 283 DEIRGs were identified by the Wilcox test in the “limma” R package ( Figure 2B ).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34178625", "locator": "sections[12] \"Identification of DEIRGs Associated With Macrophage Infiltration\" paragraph 2", "quote": "A total of 283 DEIRGs were identified by the Wilcox test in the “limma” R package ( Figure 2B )."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. 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