- Mann, Jacqueline E;
- Smith, Joshua D;
- Birkeland, Andrew C;
- Bellile, Emily;
- Swiecicki, Paul;
- Mierzwa, Michelle;
- Chinn, Steven B;
- Shuman, Andrew G;
- Malloy, Kelly M;
- Casper, Keith A;
- McLean, Scott A;
- Moyer, Jeffery S;
- Wolf, Gregory T;
- Bradford, Carol R;
- Prince, Mark E;
- Carey, Thomas E;
- McHugh, Jonathan B;
- Spector, Matthew E;
- Brenner, J Chad
Background
Recurrent laryngeal squamous cell carcinomas (LSCCs) are associated with poor outcomes, without reliable biomarkers to identify patients who may benefit from adjuvant therapies. Given the emergence of tumor-infiltrating lymphocytes (TIL) as a biomarker in head and neck squamous cell carcinoma, we generated predictive models to understand the utility of CD4+, CD8+ and/or CD103+ TIL status in patients with advanced LSCC.Methods
Tissue microarrays were constructed from salvage laryngectomy specimens of 183 patients with recurrent/persistent LSCC and independently stained for CD4+, CD8+, and CD103+ TIL content. Cox proportional hazards regression analysis was employed to assess combinations of CD4+, CD8+, and CD103+ TIL levels for prediction of overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS) in patients with recurrent/persistent LSCC.Results
High tumor CD103+ TIL content was associated with significantly improved OS, DSS, and DFS and was a stronger predictor of survival in recurrent/persistent LSCC than either high CD8+ or CD4+ TIL content. On multivariate analysis, an "immune-rich" phenotype, in which tumors were enriched for both CD103+ and CD4+ TILs, conferred a survival benefit (OS hazard ratio: 0.28, p = 0.0014; DSS hazard ratio: 0.09, p = 0.0015; DFS hazard ratio: 0.18, p = 0.0018) in recurrent/persistent LSCC.Conclusions
An immune profile driven by CD103+ TIL content, alone and in combination with CD4+ TIL content, is a prognostic biomarker of survival in patients with recurrent/persistent LSCC. Predictive models described herein may thus prove valuable in prognostic stratification and lead to personalized treatment paradigms for this patient population.