TME-Analyzer

TME-Analyzer interrogates tumor microenvironments through interactive image analysis to identify spatial immune phenotypes and survival predictors in triple-negative breast cancer.

Key Features:

• Spatial Immune Phenotype Visualization: Enables interactive visualization of spatial immune phenotypes independent of image acquisition platforms.
• Immune Cell Distance Analysis: Computes cellular distances between immune effector cells as core parameters for survival prediction.
• Density and Network Analysis: Quantifies densities and networks of immune effector cells from multiplexed images.
• Multi-platform Compatibility: Analyzes spatial immune phenotypes from multiplexed immune-fluorescent images and multiplexed ion beam time of flight images.
• Survival Prediction: Identifies multi-parameter classifiers featuring cellular distances that predict overall survival.

Scientific Applications:

• Triple-Negative Breast Cancer Prognosis: Identifies spatial immune cell distribution patterns as predictors of overall survival in TNBC patients.
• Tumor Microenvironment Interrogation: Enables systematic search for contexture-based predictors of tumor evolution and therapy response.
• Cross-platform Validation: Validates survival classifiers across independent cohorts using different imaging modalities.

Methodology:

TME-Analyzer was benchmarked against two software tools regarding densities and networks of immune effector cells using multiplexed immune-fluorescent images of triple negative breast cancer, and a 10-parameter classifier predominantly featuring cellular distances was identified and validated using multiplexed ion beam time of flight images from an independent cohort.