Evidence map›Paper›PMID 40926395›Full record

ArticleAnnals of medicine2025

Development and validation of a novel risk stratification signature derived from migrasome and tumor microenvironment-related genes for molecular subtyping and improving clinical outcomes in head and neck squamous cell carcinoma.

Huifang Chai, Chuchu Zhou, Zixin Xue, Min Zhang, Ling Qiao, Jianjun Wang, Feng Lu

Abstract readValidation Study
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huifang ChaiDepartment of Medical Oncology, Huaihe Hospital of Henan University, Kaifeng, China.
Chuchu ZhouDepartment of Immunology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Zixin XueDepartment of Immunology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Min ZhangDepartment of Immunology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Ling QiaoDepartment of Immunology, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Jianjun WangDepartment of Medical Oncology, Huaihe Hospital of Henan University, Kaifeng, China.
Feng LuDepartment of Immunology, School of Basic Medical Sciences, Henan University, Kaifeng, China.ORCID 0000-0003-4868-7908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) and migrasomes released by tumor cells significantly influence carcinogenesis and immune evasion. However, our understanding of the prognostic and therapeutic implications of migrasome and tumor microenvironment-related genes (mtmRGs) in head and neck squamous cell carcinoma (HNSCC) remains limited.

methodsWe explored the relationship between mtmRGs and HNSCC prognosis by utilizing The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Subsequently, we developed an innovative prognostic signature, and assessed its prognostic significance using the Kaplan-Meier method, time-dependent receiver operating characteristic (ROC), and Cox regression analyses. To explore the underlying mechanisms, we conducted gene set variation analysis (GSVA), gene set enrichment analysis (GESA), and immune infiltration analysis. A nomogram was developed to estimate the overall survival (OS) rates for HNSCC patients. Lastly, we chose P4HA1, which was part of the signature, for additional experimental validation

resultsThe mtmRGs signature effectively classifies HNSCC patients into two distinct risk subgroups, with the high-risk cohort demonstrating significantly poorer OS. The risk score serves as an independent prognostic factor for HNSCC patients; those with lower risk scores are more likely to exhibit favorable responses to immunotherapy, particularly with CTLA4 inhibitors. Furthermore, a lower risk score is significantly correlated with the sensitivity of HNSCC patients to cyclophosphamide, gemcitabine, and axitinib.

conclusionThis study presents an innovative gene signature associated with mtmRGs, which may be utilized both for predicting survival and directing personalized chemotherapy and immunotherapy regiments for patients with HNSCC.

Indexed as

Head and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckTumor MicroenvironmentBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMiddle AgedNomogramsPrognosisRisk AssessmentBiomarkers, Tumorhead and neck squamous cell carcinomaMigrasomeprognostic signaturetumor microenvironment

Identifiers

PMID40926395
PMCPMC12424154

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