ArticleFrontiers in oncology2020
Highly Multiplexed Digital Spatial Profiling of the Tumor Microenvironment of Head and Neck Squamous Cell Carcinoma Patients.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 34 citations in OpenAlex.
- Digital spatial profiling for pathologists.Virchows Archiv : an international journal of pathology · 2025Article
- The potential of hydrogel-free tumoroids in head and neck squamous cell carcinoma.Cancer medicine · 2024Review
- Article
- Digital Spatial Profiling identifies distinct patterns of immuno-oncology-related gene expression within oropharyngeal tumours in relation to HPV and p16 status.Frontiers in oncology · 2024Article
- A Spatial Transcriptome Reveals Changes in Tumor and Tumor Microenvironment in Oral Cancer with Acquired Resistance to Immunotherapy.Biomolecules · 2023Article
- [Advances of spatial omics in the individualized diagnosis and treatment of head and neck cancer].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2023Article
- Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis.Bioinformatics (Oxford, England) · 2023Article
- Review
- Exploration of spatial heterogeneity of tumor microenvironment in nasopharyngeal carcinoma via transcriptional digital spatial profiling.International journal of biological sciences · 2023Article
- Targeted spatial proteomic analysis of CD8Frontiers in oncology · 2023Article
- The Role of Pathology-Based Methods in Qualitative and Quantitative Approaches to Cancer Immunotherapy.Cancers · 2022Review
- Review
- Precision Medicine in Head and Neck Cancers: Genomic and Preclinical Approaches.Journal of personalized medicine · 2022Review
- Immune Checkpoint Inhibitors in Cancer Therapy.Current oncology (Toronto, Ont.) · 2022Review
- Dissecting Tissue Compartment-Specific Protein Signatures in Primary and Metastatic Oropharyngeal Squamous Cell Carcinomas.Frontiers in immunology · 2022Article
- Single-Cell Profiling Reveals Heterogeneity of Primary and Lymph Node Metastatic Tumors and Immune Cell Populations and Discovers Important Prognostic Significance of CCDC43 in Oral Squamous Cell Carcinoma.Frontiers in immunology · 2022Article
- Comparison of the tumor microenvironments of squamous cell carcinoma at different anatomical locations within the upper aerodigestive tract in relation to response to ICI therapy.Clinical & translational immunology · 2022Review
- Mapping and Validation of scRNA-Seq-Derived Cell-Cell Communication Networks in the Tumor Microenvironment.Frontiers in immunology · 2022Review
- NT5E upregulation in head and neck squamous cell carcinoma: A novel biomarker on cancer-associated fibroblasts for predicting immunosuppressive tumor microenvironment.Frontiers in immunology · 2022Article
- Understanding the tumor microenvironment in head and neck squamous cell carcinoma.Clinical & translational immunology · 2022Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImmune checkpoint inhibitors (ICI) have shown durable and long-term benefits in a subset of head and neck squamous cell carcinoma (HNSCC) patients. To identify patient-responders from non-responders, biomarkers are needed which are predictive of outcome to ICI therapy. Cues in the tumor microenvironment (TME) have been informative in understanding the tumor-immune contexture.
methodsIn this preliminary study, the NanoString GeoMx™ Digital Spatial Profiling (DSP) technology was used to determine the immune marker and compartment specific measurements in a cohort of HNSCC tumors from patients receiving ICI therapy.
resultsOur data revealed that markers involved with immune cell infiltration (CD8 T-cells) were not predictive of outcome to ICI therapy. Rather, a number of immune cell types and protein markers (CD4, CD68, CD45, CD44, CD66b) were found to correlate with progressive disease. Cross platform comparison with the Opal Vectra (Perkin Elmer) for a number of markers across similar regions of interest demonstrated concordance for pan-cytokeratin, CD8, and PD-L1.
conclusionThis study, to our knowledge, represents the first digital spatial analysis of HNSCC tumors. A larger cohort of HNSCC will be required to orthogonally validate the findings.
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