Lunit Backs the Potential of Tertiary Lymphoid Structures Analysis as an Emerging Biomarker for Lung Cancer Treatment to be presented at WCLC 2023

SEOUL - Lunit (KRX: 328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced the presentation of a groundbreaking study at the 2023 World Conference on Lung Cancer (WCLC 2023), to be held in Singapore on September 9-12.

Co-led by Lunit, Northwestern University Feinberg School of Medicine, Ascension Saint Francis Hospital, and Lincoln Medical and Mental Health Center, the study explores the use of Lunit SCOPE IO - an AI-powered H&E analyzer which identifies Tertiary Lymphoid Structures (TLS) within the tumor microenvironment (TME) - to forecast immunotherapy treatment outcomes in lung cancer. The study builds on recent academic findings that the presence of TLS can serve as a predictive marker for the effectiveness of immuno-oncology treatment.

A total of 85 patients with non-small cell lung cancer (NSCLC) who received immune checkpoint inhibitors (ICI) were analyzed for the study. According to the study, the utilization of Lunit SCOPE IO for TLS evaluation yielded clinically significant correlations with patients' overall survival (OS). 25 patients with detected TLS had notably prolonged overall survival compared to 60 patients without TLS. This correlation remained consistent irrespective of PD-L1 expression, a known biomarker for treatment response in NSCLC patients.

These findings underscore the potential of AI-based TLS analysis as a biomarker for predicting treatment response in NSCLC patients.

'Through rigorous collaboration and cutting-edge technology, our study illuminates a promising path toward better predicting lung cancer treatment outcomes. The potential of TLS analysis via Lunit SCOPE IO in predicting immunotherapy response represents a meaningful step forward in better understanding cancer biology, and making AI analysis of the TME an actionable part of cancer care,' said Brandon Suh, CEO of Lunit.

Lunit SCOPE IO was developed with a dataset of thousands of Hematoxylin and Eosin (H&E) stained whole-slide images derived from 18 different types of cancer from patients around the world.

Contact:

Email: contact@lunit.io