Evidence map›Paper›PMID 42507213›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026

Single-cell immune subtyping of basophils in head and neck squamous cell carcinoma and a prognostic model based on bulk RNA sequencing.

Xinyu Zhao, Hongfa Wang, Huang Huang, Yumin Guo, Xiangyang Mei

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Xinyu ZhaoCenter for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, 310014, China.
Hongfa WangCenter for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, 310014, China.
Huang HuangCenter for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, 310014, China.
Yumin GuoSchool of Basic Medical Sciences and Forensic Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, 311399, China.
Xiangyang MeiCenter for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, 310014, China. Xiangyangmmei@163.com.ORCID http://orcid.org/0009-0004-8332-5173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe precise contribution of basophils to cancer development and advancement remains undefined. Our research sought to delineate the immune subtypes of basophils in head and neck squamous cell carcinoma (HNSCC) and to develop a robust prognostic model.

methodsSingle-cell and bulk transcriptomic data from the TCGA-HNSC and the GEO (GSE41613, GSE139324) were integrated. Basophil subtypes and their signature genes were identified. Samples were subjected to unsupervised consensus clustering based on basophil-related differentially expressed genes to define immune subtypes. A prognostic model was constructed and its performance validated in external datasets. The biological function of the key gene DHRS2 was investigated through in vitro experiments.

resultsSingle-cell analysis identified heterogeneous basophil populations in HNSCC, classified into distinct subtypes. Cluster 1 displayed a low immune infiltration phenotype. Using basophil signature genes, TCGA-HNSC samples were stratified into two subtypes with significant survival differences. A 12-gene prognostic model with good predictive performance was developed. High-risk patients showed high tumor purity along with downregulated immune checkpoint and HLA gene expression, indicative of active immune evasion. Experimentally, the key model gene DHRS2 was highly expressed in HNSCC, and its knockdown suppressed cell proliferation, migration, and invasion while inducing apoptosis.

conclusionThe study characterizes basophil immune subtypes in HNSCC and establishes a robust basophil-related prognostic model that effectively identifies high-risk patients, suggesting the potential pro-tumorigenic gene DHRS2 as a therapeutic target in HNSCC.

Indexed as

BasophilsHead and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckHumansPrognosisSequence Analysis, RNASingle-Cell AnalysisSingle-Cell Gene Expression AnalysisBasophilsDHRS2Head and neck squamous cell carcinomaPrognostic modelSingle-cell RNA sequencing

Identifiers

PMID42507213

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.