TROP2 (EPR20043) NSCLC RUO algorithm

An intelligent and advanced digital pathology solution requires artificial intelligence-based image analysis tools that empower pathologists to confidently and objectively assess whole tissue slide images.

The image analysis algorithm is applied to whole slide images of non-small cell lung cancer (NSCLC) tissue stained with VENTANA TROP2 (EPR20043) Assay to generate a quantitative TROP2 biomarker result.¹ The TROP2 analysis workflow is fully embedded and integrated into navify® Digital Pathology.

About TROP2

According to the American Cancer Society, 87% of lung cancer cases in the US are estimated to be classified as NSCLC.²

Trophoblast cell surface cell antigen 2 (TROP2) expressed in a variety of human tissues, including NSCLC.³ TROP2 is a transmembrane protein on the cell surface but can also be found in other sub-cellular compartments.³ Overexpression of TROP2 has been found in several solid tumors and has emerged as a promising target for cancer therapy.^4,5

TROP2 (EPR20043) NSCLC RUO algorithm features:

• Pathologist-trained, computational pathology-based deep learning algorithm: Objective and reproducible scoring of slides stained with VENTANA TROP2 (EPR20043) Antibody scanned on a VENTANA® DP 200 or DP 600 slide scanner
• Embedded experience: Seamlessly integrated with navify® Digital Pathology
• Whole slide analysis (WSA): Automated pre-computing of the slide image prior to pathologist assessment, providing fast results for user-defined regions of interest (ROI)
• Quick automated scoring: Fast enumeration of the TROP2 normalized membrane ratio (NMR)
• Clear visual overlay: Highlighting analyzable tumor area
• Automatic tumor detection: Enhances workflow efficiency by applying automated segmentation, identification of NCSLC tumor areas and nontumor areas, and delineating tumor boundaries