ArticleCancer immunology, immunotherapy : CII2019
Morphomolecular analysis of the immune tumor microenvironment in human head and neck cancer.
Article in Cancer immunology, immunotherapy : CII, 2019. 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, 17 citations in OpenAlex.
- Multi-omics analysis to uncover the molecular basis of tumor budding in head and neck squamous cell carcinoma.NPJ precision oncology · 2025Article
- Circadian rhythm-related genes index: A predictor for HNSCC prognosis, immunotherapy efficacy, and chemosensitivity.Frontiers in immunology · 2023Article
- Seven Immune-Related Genes' Prognostic Value and Correlation with Treatment Outcome in Head and Neck Squamous Cell Carcinoma.Mediators of inflammation · 2023Article
- Review
- Understanding the tumor microenvironment in head and neck squamous cell carcinoma.Clinical & translational immunology · 2022Review
- Establishment and characterization of patient-derived head and neck cancer models from surgical specimens and endoscopic biopsies.Journal of experimental & clinical cancer research : CR · 2021Article
- The Double-Edge Role of the Addition of Adjuvant Chemotherapy to Concurrent Chemoradiotherapy in the Treatment of Nasopharyngeal Carcinoma.Cancer management and research · 2020Article
- Integrated Analysis RevealsFrontiers in oncology · 2020Article
- CD45RO+TILs: cellular biomarkers for larynx squamous cell carcinoma outcome.Brazilian journal of otorhinolaryngologyArticle
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
Immunotherapy is effective in head and neck squamous cell carcinoma (HNSCC), but only a minority of patients responds to immune checkpoint blockade (ICB). To contribute to a better understanding of the underlying immune biology, we combined histomorphological evaluation and molecular analysis of the HNSCC immune microenvironment in the TCGA cohort. Analyzing digital HE-stained slides, a method for classification of tumor infiltrating lymphocytes (TILs) in the intra-epithelial compartment (ieTILs, present vs. absent) and the stromal compartment (strTILs, high vs. low) was established. We also analyzed the abundance of eight immune cell populations (estimated from RNAseq data) and PD-L1 mRNA expression. Status of ieTILs and status of strTILs were concordant for 61%, but discordant for 39% of tumors. In univariate survival analysis, ieTILs were a positive prognostic marker for DFS in the study cohort (HR = 0.66, p = 0.015) and in the HPV- subcohort (HR = 0.68, p = 0.04), but not in the HPV + subcohort. T cells were a positive prognostic marker for DFS in the study cohort (HR = 0.80, p = 0.03) and in the HPV + subcohort (HR = 0.20, p = 0.001), but not in the HPV- subcohort. In univariate survival analysis, PD-L1 mRNA expression was neither associated with DFS nor with OS. However, in bivariate and multivariate analyses including both PD-L1 mRNA levels and T cells, PD-L1 was a negative prognostic marker of DFS and OS, while T cells remained a positive prognostic marker. In conclusion, ieTILs and strTILs were non-redundant biomarkers in HNSCC and should be evaluated separately. The identified prognostic markers should be evaluated for predictivity in ICB-treated patients.
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Registered trials
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