Journal article
Abstract RF3-01: Clinical outcomes of invasive lobular carcinoma (ILC) versus non-lobular breast cancer (NLC) assessed by expert pathologists, an artificial intelligence (AI) CDH1 classifier, and AI-derived tumor microenvironment (TME) biomarkers in TAILORx
R Salgado, R Gray, G Broeckx, C Desmedt, A Li, G Van den Eynden, Z Kos, B Acs, T Tramm, E Stovgaard, C Focke, L Comerma Blesa, A Hida, M Lacroix-Triki, E Provenzano, F Pareja, S Maley, N Villena, H Montgomery, E Li-Ning-Tapia Show all
Clinical Cancer Research | American Association for Cancer Research (AACR) | Published : 2026
Abstract
Abstract Background: Approximately15% of invasive breast cancers are Invasive Lobular Cancer (ILC) with differingclinical outcomes than non-lobular breast cancer (NLC). Digital pathologyenables high-throughput biomarkers and morphology analysis. The TME,particularly TILs is a robust prognostic factor in localized breast cancer.Here, we detail the prognostic importance of ductal vs lobular histology,manually and with AI, combined with manual and novel AI-derived TME metrics inearly (<5y) and late (>5y) recurrence with 15-years of follow-up inTAILORx. Methods: ..
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