ArticleScientific reports2020
Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Multiplex gene-editing strategy to engineer allogeneic EGFR-targeting CAR T-cells with improved efficacy against solid tumors.Nature communications · 2025Article
- Granzyme B and melittin in cancer immunotherapy: molecular mechanisms and therapeutic perspectives in head and neck cancers.Frontiers in immunology · 2025Review
- Profiling the Tumor Immune Microenvironment of HPV-Associated Base of Tongue Squamous Cell Carcinoma.OncoTargets and therapy · 2025Article
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- Exploring the therapeutic mechanisms of Coptidis Rhizoma in gastric precancerous lesions: a network pharmacology approach.Discover oncology · 2024Article
- Development and experimental validation of an M2 macrophage and platelet-associated gene signature to predict prognosis and immunotherapy sensitivity in bladder cancer.Cancer science · 2024Article
- Article
- Article
- Prognostic signature of endoplasmic reticulum stress-related long noncoding RNAs in head and neck squamous cell carcinoma: Association with somatic mutation and tumor immune microenvironment.Journal of dental sciences · 2023Article
- Identification and Biological Validation of a Chemokine/Chemokine Receptor-Based Risk Model for Predicting Immunotherapeutic Response and Prognosis in Head and Neck Squamous Cell Carcinoma.International journal of molecular sciences · 2023Article
- High eukaryotic initiation factor 5A2 expression predicts poor prognosis and may participate in the SNHG16/miR-10b-5p/EIF5A2 regulatory axis in head and neck squamous cell carcinoma.Journal of clinical laboratory analysis · 2023Article
- The analysis of tumor-infiltrating immune cell and ceRNA networks in laryngeal squamous cell carcinoma.Medicine · 2022Article
- Characterization of Epigenomic Alterations in HPV16+ Head and Neck Squamous Cell Carcinomas.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Article
- Multiomics Integrative Analysis IdentifyingBioMed research international · 2022Article
- Nine-gene signature and nomogram for predicting survival in patients with head and neck squamous cell carcinoma.Frontiers in genetics · 2022Article
- The Significance of Tumor Microenvironment Score for Breast Cancer Patients.BioMed research international · 2022Article
- Mutant p53 achieved Gain-of-Function by promoting tumor growth and immune escape through PHLPP2/AKT/PD-L1 pathway.International journal of biological sciences · 2022Article
- Recent progress of biomarkers in oral cancers.Journal of the Chinese Medical Association : JCMA · 2021Article
- A TP53 mutation model for the prediction of prognosis and therapeutic responses in head and neck squamous cell carcinoma.BMC cancer · 2021Article
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6 authors.
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Abstract
The tumor microenvironment (TME) is of great clinical significance for predicting the therapeutic effect of tumors. Nonetheless, there was no systematic analysis of cellular interactions in the TME of head and neck cancer (HNSC). This study used gene expression data from 816 patients with HNSC to analyze the scores of 22 immune cells. On this basis, we have established a novel TMEscore-based prognostic risk model. The relationship between TMEscore and clinical and genomic characteristics was analyzed. The sample was divided into risk-H and risk-L groups based on the prognosis risk model of TMEscore, with significant differences in overall survival between the two groups (log rank p < 0.001). In terms of clinical features, the TMEscore is closely related to the T staging, Grade, and HPV. As for genomic characteristics, the genomic features of the Risk-H samples are a low expression of immune-related genes and high-frequency mutations of TP53 and CEP152. This model was validated in an external test set, in which the prognosis for Risk-H group and Risk-L group was also significantly different (log rank p = 0.017). A quantitative method of TME infiltration pattern is established, which may be a potential predictor of HNSC prognosis.
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