Abstract 6187: Multimodal characterization of tertiary lymphoid structures identified via deep learning on digitized H&E images in NSCLC

Abstract Background: Tertiary lymphoid structures (TLS) have recently shown association with improved outcomes for patients treated with immunotherapy across several cancer types. But pathologist-led identification of TLS on routine hematoxylin and eosin (H0. 05). Immuno-histopathological evaluation of model-identified mTLS revealed concordance with central clusters of CD20+ B cells surrounded by a mix of CD20+ B Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 6187.