Lunit (KRX:328130.KQ), a leading provider of AI for cancer diagnostics and therapeutics, today announced that 12 studies featuring its AI-powered digital pathology solution will be presented at the 2025 American Society of Clinical Oncology (ASCO) Annual Meeting, taking place May 30–June 3 in Chicago, IL. Of these, 11 studies will be presented as posters and one as an online publication.
One of the featured studies, conducted with Japan’s National Cancer Center Hospital East (NCCE), evaluated HER2 expression in biliary tract cancer (BTC) patients using Lunit’s AI-powered analyzer. The resulting AI scores showed strong agreement with pathologist-assigned IHC scores in a 288-patient screening cohort. Among 29 patients treated with trastuzumab deruxtecan (T-DXd), those with higher levels of HER2-intense tumor cells achieved a higher objective response rate (ORR) of 50%, along with significantly longer progression-free survival and overall survival. The study also found that AI-derived „membrane specificity“ helped identify additional responders who achieved a 50% ORR and improved survival. This group included not only HER2-intense patients but also some traditionally classified as HER2-low, suggesting that the metric may expand the pool of patients who can benefit from T-DXd. These findings suggest that AI-powered HER2 analysis – especially when incorporating membrane specificity – could expand access to targeted treatment and enable more precise therapy selection in BTC.
