TEST:

Lunit SCOPE HER2

"Lunit...today announced the presentation of seven studies at the American Association for Cancer Research (AACR) 2024 Annual Meeting...In a poster presentation, Lunit's AI-powered HER2 analyzer, Lunit SCOPE HER2's precision shines through its analysis of 194,259 pan-cancer samples, correlating different ERBB2 mutations with changes in HER2 protein expression. This AI-powered assessment successfully identified key mutation-expression correlations, particularly focusing on exon 20 insertions (ex20ins) and S310x mutations across a variety of cancers, including NSCLC, urothelial, and breast cancers...Through detailed HER2 intensity examination, the AI analysis highlighted that, among ERBB2-mutated cases with HER2 IHC images, a higher proportion of HER2 3+ tumor cells was observed in S310x and ex20ins cases compared to others....The analysis of 795 pan-cancer tissue samples revealed an important inverse correlation between CNTN4 expression and PD-L1 levels."

"Lunit...announced the publication of a new study featuring Lunit SCOPE HER2 and Lunit SCOPE ER/PR, Lunit's AI-powered analyzer of human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), and progesterone receptor (PR)...The study aimed to evaluate the role of Lunit SCOPE in enhancing pathologists' consistency and accuracy of breast cancer molecular subtype classification, including expression levels of HER2, ER, and PR."

Introduction: HER2 (ERBB2) is a target for various anti-cancer therapies, including large (Trastuzumab deruxtecan) or small molecules (Neratinib). An AI-powered pan-cancer image analysis of HER2 IHC of tumor cells in conjunction with genomic data reveals a positive correlation between ex20ins and S310x ERBB2 mutation and protein expression. This correlation is also seen at the RNA level, but the lesser levels relative to ERBB2 amplified cases suggests the effect may be mediated at the protein level.

"This study underscores the significant role of AI analyzers in improving pathologists' concordance in the classification of breast cancer molecular subtypes."

"Lunit...announced the presentation of 9 studies featuring its AI pathology research at the upcoming European Society for Medical Oncology (ESMO) 2023 Congress, scheduled to be held in Madrid, Spain, from October 20 to 24, 2023...This year's collection of abstracts delves into multifaceted research, including the use of AI-powered analysis to predict treatment outcomes in different cancer types, assess HER2 expression in breast and biliary tract cancer, and streamline clinical workflows for treatment decisions in lung cancer, all utilizing the Lunit SCOPE suite."

"Lunit...today announced the presentation of a groundbreaking study at the ASCO (American Society of Clinical Oncology) Breakthrough conference, to be held from August 3 to August 5 in Yokohama, Japan...This study showcases the potential of Lunit SCOPE HER2, an AI-powered solution designed to detect HER2 expression profile in detail, to provide valuable insights that can predict treatment response, thereby advancing personalized medicine in mCRC patients....Objective response rates (ORR) for Pertuzumab plus Trastuzumab treatment in the entire patient group and the HER2 IHC 3+ patient subgroup assessed by pathologists were 26.7% and 34.8%, respectively. Importantly, Lunit SCOPE HER2 identified that the >50% HER2 3+ patient subgroup had an ORR of 42.1%, which contained all 8 responding patients."

The DeLong test showed a significant difference in the prediction of FISH positivity (p=0.023). Conclusions This study showed that AI analysis of breast cancer HER2 expression, specifically the proportion of strong positive tumor cells, can predict FISH and therapy response better than the H-score.

"Lunit will also present clinical findings that demonstrate the accuracy of Lunit SCOPE PD-L1 CPS. After classifying PD-L1 Combined Positive Score (CPS) levels in 543 urothelial carcinoma (UC) cases, the AI-powered CPS analyzer showed an equivalent level of accuracy to that of pathologists....Another study from Lunit reveals the capability of the AI-powered TIL and PD-L1 CPS analysis solution to be utilized as a predictive biomarker for immune checkpoint inhibitor (ICI) response in neuroendocrine neoplasms (NEN)....The last study shows that Lunit SCOPE can discover novel targets for antibody-drug conjugates (ADC) by precisely analyzing linked NGS and IHC data in tumors, highlighting the potential of multimodal analysis linking molecular and visual methods."

The patients in pCR had a significantly higher proportion of tumor cells in H3 intensity category by AI (84.7% vs. 76.7%, p = 0.010 in all patients; 87.7% vs. 81.0%, p = 0.019 in HER2 IHC 3+ by pathologists), and significantly higher densities of stromal and intratumoral TILs (Table). Table: 155P Conclusions AI-powered automated HER2 scoring and TIL analysis can provide additional information for response prediction in HER2-positive early breast cancer patients treated with NAC.