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Updated: Jun 5, 2026

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
Published on: March 7, 2025
Inverse relationship between neoantigen clonality and T-cell activity reveals distinct immune phenotypes in HNSCC
Babak Saravi1, Daman Deep Singh2, Lara Schorn2
1Department of Oral, Maxillofacial and Facial Plastic Surgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225, Düsseldorf, Germany. babak.saravi@med.uni-duesseldorf.de.
Background:
Neoantigens derived from tumour-specific mutations are critical targets for T-cell recognition, yet the relationship between neoantigen clonality and immune response in head and neck squamous cell carcinoma (HNSCC) remains poorly understood. We hypothesised that clonal neoantigens, being present in all tumour cells, would drive T-cell exhaustion through persistent antigen exposure.
Methods:
We analysed 527 HNSCC tumours from The Cancer Genome Atlas. Neoantigens were predicted using pVACseq with MHCflurry binding prediction for patient-specific HLA class I alleles. We computed a Clonality Score (binder-weighted variant allele frequency normalised by neoantigen count) to quantify clonal origin independent of total burden. T-cell exhaustion was assessed using a 17-gene expression signature, alongside TIDE dysfunction scores and the Pan-Immune Score. Cox proportional hazards models with interaction terms tested whether prognostic effects of clonality depended on immune context.
Results:
Contrary to our hypothesis, neoantigen clonality showed strong inverse correlations with T-cell infiltration-associated signatures, including a 17-gene exhaustion/activation panel (ρ = -0.41, P = 9.8 × 10⁻²²), TIDE dysfunction (ρ = -0.53, P = 6.7 × 10⁻³⁸), and Pan-Immune Score (ρ = -0.50, P = 8.5 × 10⁻³³). Tumours stratified into four phenotypes: Hot/Low Clonality (33%) exhibited high immune infiltration and cytolytic activity; Cold/High Clonality (33%) showed minimal immune engagement despite abundant clonal neoantigens. High clonality also associated with reduced antigen presentation machinery expression (ρ = -0.31, P = 1.0 × 10⁻¹²), suggesting impaired antigen visibility as a potential upstream mechanism. Survival analysis revealed a significant clonality × immune status interaction (P = 0.034). In 'hot' tumours, high clonality predicted improved survival (HR = 0.72, P = 0.043), whereas clonality had no prognostic effect in 'cold' tumours (HR = 1.00, P = 0.98).
Conclusions:
Neoantigen clonality inversely predicts T-cell activity in HNSCC, identifying high-clonality tumours as immunologically 'cold' despite abundant tumour-specific antigens. Crucially, the prognostic benefit of clonality is realised only when T-cell effectors are present, reconciling our findings with the paradigm that clonal neoantigens represent optimal immunological targets. This context-dependent relationship generates the hypothesis that neoantigen clonality, when interpreted alongside immune context, may help identify patients who could benefit from immune-priming strategies prior to checkpoint inhibitor therapy, pending validation in immunotherapy-treated cohorts.
Insights
Neoantigen clonality inversely correlates with T-cell activity in head and neck squamous cell carcinoma (HNSCC). High clonality predicts better survival in immune-active tumors, suggesting a role in immunotherapy selection.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Neoantigens are crucial for T-cell recognition in cancer.
- The role of neoantigen clonality in head and neck squamous cell carcinoma (HNSCC) immune response is unclear.
- Hypothesis: Clonal neoantigens drive T-cell exhaustion via persistent exposure.
Purpose of the Study:
- To investigate the relationship between neoantigen clonality and T-cell activity in HNSCC.
- To determine the prognostic significance of neoantigen clonality in HNSCC.
- To explore the impact of neoantigen clonality on immune evasion mechanisms.
Main Methods:
- Analysis of 527 HNSCC tumors from The Cancer Genome Atlas.
- Neoantigen prediction using pVACseq and MHCflurry.
- Calculation of a Clonality Score to quantify clonal origin.
- Assessment of T-cell exhaustion using gene expression signatures, TIDE, and Pan-Immune Score.
- Cox proportional hazards models to test interactions between clonality and immune context.
Main Results:
- Neoantigen clonality inversely correlated with T-cell infiltration signatures (e.g., exhaustion, dysfunction).
- High clonality was associated with reduced antigen presentation machinery expression.
- Tumors stratified into 'Hot/Low Clonality' and 'Cold/High Clonality' phenotypes.
- High clonality predicted improved survival in 'hot' tumors but not 'cold' tumors (P=0.034 interaction).
Conclusions:
- Neoantigen clonality inversely predicts T-cell activity in HNSCC, identifying 'cold' tumors.
- Prognostic benefit of clonality is context-dependent, requiring T-cell effectors.
- Clonality may help identify HNSCC patients benefiting from immune-priming strategies before checkpoint inhibitor therapy.
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