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Updated: Sep 12, 2025

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment
Published on: April 22, 2019
Inflammation and limited adaptive immunity predict worse outcomes on immunotherapy in head and neck cancer
Lisa Paschold1, Christoph Schultheiss2,3, Paul Schmidt-Barbo2,3,4
1Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Abstract:
Most patients with relapsed or metastatic head and neck squamous cell carcinoma (rmHNSCC) do not experience durable responses to PD-1 immune checkpoint inhibitors. PD-L1 tissue expression is the most commonly assessed response marker, but an insufficient predictor of treatment outcome. To identify suitable response biomarkers, we profiled the FOCUS trial (Registered at ClinicalTrials.gov: NCT05075122) cohort for several blood- and tissue-based markers. PD-L1 levels in the tumor or tumor microenvironment were not associated with treatment benefit. In contrast, inflammation-related markers such as IL-6, sCD25, and sTIM-3, as well as high peripheral neutrophils, cell-free DNA levels, and T cell receptor repertoire clonality, were associated with poor clinical outcomes. Patients lacking these high-risk markers performed remarkably well on inhibition of immune checkpoints with pembrolizumab. Biomarker-guided patient selection for pembrolizumab monotherapy or novel combinatorial approaches-potentially including anti-inflammatory agents-for patients with immune-impaired, inflammatory profiles may be the next step in personalizing immunotherapy for these hard-to-treat patients.
Insights
Biomarkers in blood, not PD-L1, predict immunotherapy response in head and neck cancer. High inflammation markers indicate poor outcomes, while their absence predicts success with pembrolizumab.
Area of Science:
- Oncology
- Immunotherapy
- Biomarker Discovery
Background:
- Relapsed or metastatic head and neck squamous cell carcinoma (rmHNSCC) patients often lack durable responses to PD-1 inhibitors.
- PD-L1 expression is an unreliable biomarker for predicting treatment outcomes in rmHNSCC.
Purpose of the Study:
- To identify reliable blood- and tissue-based biomarkers for predicting response to PD-1 immune checkpoint inhibitors in rmHNSCC.
- To stratify patients for more effective immunotherapy strategies.
Main Methods:
- Analysis of the FOCUS trial cohort (NCT05075122) using various blood- and tissue-based markers.
- Correlation of biomarker levels with clinical outcomes in patients receiving PD-1 inhibitors.
Main Results:
- Tumor PD-L1 levels did not correlate with treatment benefit.
- Increased inflammation markers (IL-6, sCD25, sTIM-3), high peripheral neutrophils, cell-free DNA, and T cell receptor clonality were associated with poor outcomes.
- Patients without these high-risk markers showed significant benefit from pembrolizumab.
Conclusions:
- Inflammation-related blood biomarkers, not PD-L1, are key predictors of immunotherapy response in rmHNSCC.
- Biomarker-guided selection can personalize pembrolizumab therapy or inform novel combinatorial approaches for immune-impaired patients.
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