Case Studies/Predicting Immunotherapy Response in Head and Neck Cancer
Oncology

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

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.

01

50+ responder-associated spatial phenotypes

02

92% predictive accuracy

03

90% reduction in projected analysis costs

04

Weeks instead of months for analysis

05

Novel biomarker candidates identified

06

Companion diagnostic opportunities generated

Demonstrated how multicellular tissue programs outperform single-marker approaches for predicting therapeutic response.
Patient StratificationBiomarker DiscoveryPrecision OncologyClinical Trial Optimization
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