First Immunotherapy Success in TKI-Resistant Lung Cancer Setting Demonstrates Power of AI-driven Immune Phenotyping by Lunit SCOPE IO - newly published in JCO

October 24, 2023 — Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced a significant breakthrough in the treatment of non-small cell lung cancer (NSCLC) with resistance to certain targeted therapies. 

A groundbreaking study, conducted by Samsung Medical Center and utilizing Lunit SCOPE IO, showcases the efficacy of atezolizumab plus bevacizumab and chemotherapy for NSCLC patients with EGFR or ALK mutations. The study result was concurrently published in the Journal of Clinical Oncology (JCO; IF 50.739) and presented in an oral presentation at the ESMO (European Society of Medical Oncology) 2023 Annual Meeting. Against the backdrop of growing interest and need for an AI biomarker in medical practices, this marks the second time a study utilizing Lunit SCOPE IO has been published in the prestigious JCO. 

This research marks a turning point for NSCLC patients with EGFR or ALK mutations, as prior trials faced challenges in identifying effective treatments. Patients with these mutations often respond favorably to targeted agents, but over time, the effectiveness of these treatments diminishes. Multiple leading pharmaceutical companies have attempted clinical trials of immunotherapy in this setting, which have not succeeded to date. This underscores the significance of this first successful phase III trial in this setting, successfully combining immunotherapy with chemotherapy and improving clinical outcomes. 

The study enrolled a total of 228 NSCLC patients with activating EGFR mutation (215 patients) or ALK translocation (13 patients), who experienced progression after the relevant tyrosine kinase inhibitor (TKI) therapy. Patients were randomized into two arms: the ABCP arm (atezolizumab plus bevacizumab/paclitaxel/carboplatin) and the PC arm (pemetrexed plus carboplatin or cisplatin). The results demonstrated the superiority of the ABCP arm, with significantly higher objective response rates (ORR; 69.5% vs. 41.9%) and a longer median progression-free survival (PFS; 8.48 months vs. 5.62 months). 

Lunit SCOPE IO, an AI-powered TIL analyzer for assessing immune phenotype from H&E, played a pivotal role in this research. By assessing patients' immune phenotype and predicting response to immunotherapy, Lunit SCOPE IO enabled the identification of individuals more likely to benefit from ABCP arm treatment. In the group with an Inflamed Score below 20%, there was no significant difference in PFS between ABCP arm and PC arm (8.28 months vs. 6.93 months). However, a substantial difference in PFS was observed in the group with an Inflamed Score of 20% or higher (12.91 months vs. 4.86 months), surpassing the overall study group. Immune phenotype as assessed by Lunit SCOPE IO showed predictive power in stratifying patients more likely to respond to ABCP treatment. 

For more information: www.lunit.com