Related Experiment Video
Updated: Jul 13, 2025

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
Published on: April 20, 2018
Immune Cell Abundance and T-cell Receptor Landscapes Suggest New Patient Stratification Strategies in Head and Neck
Maria Secrier1,2, Lara McGrath3, Felicia Ng4
1Translational Medicine, Oncology R&D, AstraZeneca, Cambridge, United Kingdom.
Abstract:
Head and neck squamous cell carcinoma (HNSCC) is a molecularly and spatially heterogeneous disease frequently characterized by impairment of immunosurveillance mechanisms. Despite recent success with immunotherapy treatment, disease progression still occurs quickly after treatment in the majority of cases, suggesting the need to improve patient selection strategies. In the quest for biomarkers that may help inform response to checkpoint blockade, we characterized the tumor microenvironment (TME) of 162 HNSCC primary tumors of diverse etiologic and spatial origin, through gene expression and IHC profiling of relevant immune proteins, T-cell receptor (TCR) repertoire analysis, and whole-exome sequencing. We identified five HNSCC TME categories based on immune/stromal composition: (i) cytotoxic, (ii) plasma cell rich, (iii) dendritic cell rich, (iv) macrophage rich, and (v) immune-excluded. Remarkably, the cytotoxic and plasma cell rich subgroups exhibited a phenotype similar to tertiary lymphoid structures (TLS), which have been previously linked to immunotherapy response. We also found an increased richness of the TCR repertoire in these two subgroups and in never smokers. Mutational patterns evidencing APOBEC activity were enriched in the plasma cell high subgroup. Furthermore, specific signal propagation patterns within the Ras/ERK and PI3K/AKT pathways associated with distinct immune phenotypes. While traditionally CD8/CD3 T-cell infiltration and immune checkpoint expression (e.g., PD-L1) have been used in the patient selection process for checkpoint blockade treatment, we suggest that additional biomarkers, such as TCR productive clonality, smoking history, and TLS index, may have the ability to pull out potential responders to benefit from immunotherapeutic agents.
Significance:
Here we present our findings on the genomic and immune landscape of primary disease in a cohort of 162 patients with HNSCC, benefitting from detailed molecular and clinical characterization. By employing whole-exome sequencing and gene expression analysis of relevant immune markers, TCR profiling, and staining of relevant proteins involved in immune response, we highlight how distinct etiologies, cell intrinsic, and environmental factors combine to shape the landscape of HNSCC primary disease.
Insights
Identifying new biomarkers for head and neck squamous cell carcinoma (HNSCC) can improve immunotherapy response. This study characterized the tumor microenvironment (TME) and found that tertiary lymphoid structures (TLS) and T-cell receptor (TCR) richness predict patient outcomes.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Head and neck squamous cell carcinoma (HNSCC) is a complex disease with impaired immune surveillance.
- Current immunotherapy patient selection relies on markers like PD-L1, but many patients still progress.
- Improved strategies are needed to identify HNSCC patients who will benefit from immunotherapy.
Purpose of the Study:
- To characterize the tumor microenvironment (TME) in HNSCC.
- To identify novel biomarkers for predicting response to immune checkpoint blockade therapy.
- To explore the relationship between genomic features, immune cell composition, and clinical outcomes in HNSCC.
Main Methods:
- Gene expression and immunohistochemistry (IHC) profiling of 162 HNSCC primary tumors.
- T-cell receptor (TCR) repertoire analysis and whole-exome sequencing.
- Analysis of immune/stromal composition to define TME categories.
Main Results:
- Five distinct HNSCC TME categories were identified: cytotoxic, plasma cell rich, dendritic cell rich, macrophage rich, and immune-excluded.
- Cytotoxic and plasma cell rich subgroups showed phenotypes resembling tertiary lymphoid structures (TLS), linked to immunotherapy response.
- Increased TCR repertoire richness was observed in these subgroups and in never-smokers.
- APOBEC mutational patterns were enriched in the plasma cell high subgroup.
- Specific signaling pathway patterns (Ras/ERK, PI3K/AKT) correlated with immune phenotypes.
Conclusions:
- Beyond CD8/CD3 infiltration and PD-L1, additional biomarkers like TCR productive clonality, smoking history, and TLS index may improve HNSCC patient selection for immunotherapy.
- Understanding the genomic and immune landscape of HNSCC is crucial for developing personalized treatment strategies.
- The identified TME categories and biomarkers offer potential for refining immunotherapy efficacy in HNSCC.
More Related Videos
11:28Isolation and Characterization of a Head and Neck Squamous Cell Carcinoma Subpopulation Having Stem Cell Characteristics
Published on: May 11, 2016
07:43Four-color Fluorescence Immunohistochemistry of T-cell Subpopulations in Archival Formalin-fixed, Paraffin-embedded Human Oropharyngeal Squamous Cell Carcinoma Samples
Published on: July 29, 2017