ArticleFrontiers in cell and developmental biology2022
Identification of tumor antigens and immune subtypes in head and neck squamous cell carcinoma for mRNA vaccine development.
Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- IGLC1 is an independent prognostic marker and potent therapeutic target in osteosarcoma.Discover oncology · 2025Article
- Laminin α5: a key factor in tumor metastasis.Clinical & experimental metastasis · 2025Review
- A strategy for synergistic enhancement of immune circulation in head and neck squamous cell carcinoma by novel nucleic acid drug therapy and immunotherapy.Journal of translational medicine · 2025Review
- Revolutionizing Dentistry: Preclinical Insights and Future Applications of mRNA Vaccines in Dentistry-A Narrative Review.Dentistry journal · 2025Review
- Unraveling the potential: mRNA therapeutics in oncology.Frontiers in oncology · 2025Review
- A Transcriptomic Analysis of Laryngeal Dysplasia.International journal of molecular sciences · 2024Review
- The transformative potential of mRNA vaccines for glioblastoma and human cancer: technological advances and translation to clinical trials.Frontiers in oncology · 2024Review
- Identification of cuproptosis-related gene clusters and immune cell infiltration in major burns based on machine learning models and experimental validation.Frontiers in immunology · 2024Article
- S100 proteins in head and neck squamous cell carcinoma (Review).Oncology letters · 2023Review
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mRNA vaccines have been considered effective for combating cancer. However, the core components of the mRNA vaccines against head and neck squamous cell carcinoma (HNSCC) and the effects remain unclear. Our study aims to identify effective antigens in HNSCC to develop mRNA vaccines for corresponding potential patients. Here, we analyzed alternative splicing and mutation of genes in TCGA-HNSCC samples and identified seven potential tumor antigens, including SREBF1, LUC7L3, LAMA5, PCGF3, HNRNPH1, KLC4, and OFD1, which were associated with nonsense-mediated mRNA decay factor expression, overall survival prognosis and the infiltration of antigen-presenting cells. Furthermore, to select suitable patients for vaccination, immune subtypes related to HNSCC were identified by consensus clustering analysis, and visualization of the HNSCC immune landscape was performed by graph-learning-based dimensionality reduction. To address the heterogeneity of the population that is suitable for vaccination, plot cell trajectory and WGCNA were also utilized. HNSCC patients were classified into three prognostically relevant immune subtypes (Cluster 1, Cluster 2, and Cluster 3) possessing different molecular and cellular characteristics, immune modulators, and mutation statuses. Cluster 1 had an immune-activated phenotype and was associated with better survival, while Cluster 2 and Cluster 3 were immunologically cold and linked to increased tumor mutation burden. Therefore, HNSCC patients with immune subtypes Cluster 2 and Cluster 3 are potentially suitable for mRNA vaccination. Moreover, the prognostic module hub genes screened seven genes, including IGKC, IGHV3-15, IGLV1-40, IGLV1-51, IGLC3, IGLC2, and CD79A, which could be potential biomarkers to predict prognosis and identify suitable patients for mRNA vaccines. Our findings provide a theoretical basis for further research and the development of anti-HNSCC mRNA vaccines and the selection of suitable patients for vaccination.
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