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pmid:33692955

CCR4, CCR8, and P2RY14 as Prognostic Factors in Head and Neck Squamous Cell Carcinoma Are Involved in the Remodeling of the Tumor Microenvironment.

Liangliang Meng · Xiaoxi He · Quan Hong · Bo Qiao · Xiao Zhang · Bin Wu · Xiaobo Zhang · Yingtian Wei · Jing Li · Zhaoxiang Ye · Yueyong Xiao

Frontiers in oncology · 2021 doi:10.3389/fonc.2021.618187

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title
CCR4, CCR8, and P2RY14 as Prognostic Factors in Head and Neck Squamous Cell Carcinoma Are Involved in the Remodeling of the Tumor Microenvironment.
doi
10.3389/fonc.2021.618187
pmid
33692955
authors array · 11 items
[0]
Liangliang Meng
[1]
Xiaoxi He
[2]
Quan Hong
[3]
Bo Qiao
[4]
Xiao Zhang
[5]
Bin Wu
[6]
Xiaobo Zhang
[7]
Yingtian Wei
[8]
Jing Li
[9]
Zhaoxiang Ye
[10]
Yueyong Xiao
journal
Frontiers in oncology
year
2021
abstract
The tumor microenvironment (TME) plays a critical role in the initiation and progression of cancer. However, the specific mechanism of its regulation in head and neck squamous cell carcinoma (HNSCC) remains unclear. In this study, we first applied the ESTIMATE method to calculate the immune and stromal scores in patients' tumor tissues from The Cancer Genome Atlas (TCGA) database. GSE41613, GSE30784, and GSE37991 data sets from the Gene Expression Omnibus (GEO) database were recruited for further validation. Differentially expressed genes (DEGs) were identified and then analyzed by Cox regression analysis and protein-protein interaction (PPI) network construction. DEGs significantly associated with prognosis and TME will be identified as hub genes. These genes were also validated at the protein level by immunohistochemical analysis of 10 pairs of primary tumor tissues and the adjacent normal tissues from our institution. The relationship between hub genes expression and immune cell fraction estimated by CIBERSORT software was also examined. 275 DEGs were significantly associated with TME. CCR4, CCR8, and P2RY14 have then identified as hub genes by intersection Cox and PPI analysis. Further investigation revealed that the expression of CCR4, CCR8, and P2RY14 was negatively correlated with clinicopathological characteristics (clinical stage, T stage) and positively associated with survival in HNSCC patients, especially in male patients. The expression of CCR8 and P2RY14 was lower in males than in females. CCR8 and P2RY14 were differentially expressed in tumor tissues than normal tissues, and the results were validated at the protein level by immunohistochemistry experiments. Gene set enrichment analysis (GSEA) showed that the high expression groups' hub genes were mainly enriched for immune-related activities. In the low-expression groups, genes were primarily enriched in metabolic pathways. CIBERSORT results showed that the expression of these genes was all negatively correlated with the fraction of memory B cells and positively correlated with the fraction of the other four cells, including naive B cells, resting T cells CD4 memory, T cells follicular helper, and T cells regulatory (Tregs). The results suggest that CCR4, CCR8, and P2RY14 may be responsible for maintaining the immune dominance of TME, thus leading to a better prognosis.
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identifier_resolution_only_no_download_no_licence_read
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false
licence_read
false
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[0]
asset:data:geo:GSE30784 not downloaded
[1]
asset:data:geo:GSE30784 licence not read
[2]
asset:data:geo:GSE37991 not downloaded
[3]
asset:data:geo:GSE37991 licence not read
[4]
asset:data:geo:GSE41613 not downloaded
[5]
asset:data:geo:GSE41613 licence not read
analysis object · 4 fields
state
partial
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method-1
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group_comparison
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wilcoxon
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missing_operations array · 1 item
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group_comparison_wilcoxon
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false
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two_or_more_groups_continuous
evidence object · 3 fields
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0.8
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high
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Wilcoxon
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method-2
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survival_analysis
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cox_proportional_hazards
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Survival analysis
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[0]
cox_ph
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[0]
time_to_event_with_censoring
evidence object · 3 fields
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0.7
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Cox regression
[2] object · 10 fields
id
method-3
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network_analysis
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label
Network / pathway analysis
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[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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[0]
edge_list
evidence object · 3 fields
score
0.7
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protein-protein interaction
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id
method-4
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network_analysis
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pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
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edge_list
evidence object · 3 fields
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0.8
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high
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GO enrichment
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gaps array · 1 item
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method.group_comparison_wilcoxon
capability object · 3 fields
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complete
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capability_id
capability:computational_analysis
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[0]
meta_analysis
[1]
machine_learning
[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
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complete
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R1
blocked_on
nothing:replicable_now
axes object · 3 fields
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tier
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false
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missing_operations array · 1 item
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group_comparison_wilcoxon
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon.
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 · 3 items
[0]
GSE41613
[1]
GSE30784
[2]
GSE37991
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[0]
GSE41613
[1]
GSE30784
[2]
GSE37991
statements array · 1 item
[0]
The data sets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
basis
The paper names GSE41613, GSE30784, GSE37991 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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assets array · 2 items
[0]
source:pmid:33692955
[1]
data:geo:GSE30784
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group_comparison_wilcoxon
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null
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data:geo:GSE30784
gaps array · 0 items
review object · 5 fields
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
provider
minimax
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minimax
read_at
2026-10-31T19:27:23Z
independence
single_reader
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null
availability
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review.human_critique
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not_run
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execution.not_run
provenance object · 7 fields
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pmid:33692955
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paper
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pmid:33692955
[1] object · 3 fields
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source:pmid:33692955
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PMID 33692955 full text
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data:geo:GSE30784
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GEO GSE30784
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classification
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pmid:33692955
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PMID 33692955 full text
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data:geo:GSE30784
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GEO GSE30784
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agent:corpus-assay-engine
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data:geo:GSE30784
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[3]
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[5]
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[0]
were also validated at the protein level by immunohistochemical analysis of 10 pairs of primary tumor tissue
[1]
sults were validated at the protein level by immunohistochemistry experiments. Gene set enrichment analysis (G
[2]
Materials and Methods Clinical Samples for Immunohistochemical Staining To validate the target genes’ prote
[3]
y or radiotherapy. All samples were used for immunohistochemical staining. Our study was conducted following
order_basis
paper_text_order:919
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33692955", "kind": "science-record", "revision": 7, "content_hash": "sha256:1b81bdbcc7af1ae6182b02624e23d167ce53e132ffca2f872cfdcb490306de4f", "created_at": "2026-11-01T15:41:28Z", "updated_at": "2026-11-01T22:03:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "CCR4, CCR8, and P2RY14 as Prognostic Factors in Head and Neck Squamous Cell Carcinoma Are Involved in the Remodeling of the Tumor Microenvironment.", "doi": "10.3389/fonc.2021.618187", "pmid": "33692955", "authors": ["Liangliang Meng", "Xiaoxi He", "Quan Hong", "Bo Qiao", "Xiao Zhang", "Bin Wu", "Xiaobo Zhang", "Yingtian Wei", "Jing Li", "Zhaoxiang Ye", "Yueyong Xiao"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "The tumor microenvironment (TME) plays a critical role in the initiation and progression of cancer. However, the specific mechanism of its regulation in head and neck squamous cell carcinoma (HNSCC) remains unclear. In this study, we first applied the ESTIMATE method to calculate the immune and stromal scores in patients' tumor tissues from The Cancer Genome Atlas (TCGA) database. GSE41613, GSE30784, and GSE37991 data sets from the Gene Expression Omnibus (GEO) database were recruited for further validation. Differentially expressed genes (DEGs) were identified and then analyzed by Cox regression analysis and protein-protein interaction (PPI) network construction. DEGs significantly associated with prognosis and TME will be identified as hub genes. These genes were also validated at the protein level by immunohistochemical analysis of 10 pairs of primary tumor tissues and the adjacent normal tissues from our institution. The relationship between hub genes expression and immune cell fraction estimated by CIBERSORT software was also examined. 275 DEGs were significantly associated with TME. CCR4, CCR8, and P2RY14 have then identified as hub genes by intersection Cox and PPI analysis. Further investigation revealed that the expression of CCR4, CCR8, and P2RY14 was negatively correlated with clinicopathological characteristics (clinical stage, T stage) and positively associated with survival in HNSCC patients, especially in male patients. The expression of CCR8 and P2RY14 was lower in males than in females. CCR8 and P2RY14 were differentially expressed in tumor tissues than normal tissues, and the results were validated at the protein level by immunohistochemistry experiments. Gene set enrichment analysis (GSEA) showed that the high expression groups' hub genes were mainly enriched for immune-related activities. In the low-expression groups, genes were primarily enriched in metabolic pathways. CIBERSORT results showed that the expression of these genes was all negatively correlated with the fraction of memory B cells and positively correlated with the fraction of the other four cells, including naive B cells, resting T cells CD4 memory, T cells follicular helper, and T cells regulatory (Tregs). The results suggest that CCR4, CCR8, and P2RY14 may be responsible for maintaining the immune dominance of TME, thus leading to a better prognosis.", "claims": [{"id": "claim-data-access", "statement": "The data sets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33692955", "locator": "sections[30] \"Data Availability Statement\" paragraph 2", "quote": "The data sets presented in this study can be found in online repositories. 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