Predicting Immunotherapy Response in Head and Neck Cancer
Only a subset of patients benefit from checkpoint blockade therapy, yet existing biomarkers frequently fail to predict response before treatment begins.
92%
predictive accuracy
50+
responder-associated spatial phenotypes
90%
reduction in projected analysis costs
APPROACH
Stratica partnered with investigators at a leading academic cancer center to analyze a Phase II immunotherapy trial using spatial proteomics, digital pathology, and StraticaOS-enabled virtual tissue modeling.
KEY OUTCOMES
50+ responder-associated spatial phenotypes
92% predictive accuracy
90% reduction in projected analysis costs
Weeks instead of months for analysis
Novel biomarker candidates identified
Companion diagnostic opportunities generated
IMPACT
Demonstrated how multicellular tissue programs outperform single-marker approaches for predicting therapeutic response.
APPLICATIONS
Drug Repurposing and Precision Stratification in Autoimmune Disease
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