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
Year: 2026
Type: conference-abstract
Source: Clinical Cancer Research
Authors: 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, A. Lazar, S. Badve, S. Loi, J. Sparano, The International Immuno-Oncology Biomarker Working Group, TAILORx Investigators
Institutions: Peter MacCallum Cancer Centre, Dana-Farber Cancer Institute, Ziekenhuis aan de Stroom, KU Leuven, Massachusetts General Hospital, University of British Columbia, Karolinska Institutet, Aarhus University Hospital, University of Copenhagen, Dietrich Bonhoeffer Klinikum, Hospital Del Mar, Parc de Salut, Institut Gustave Roussy, Addenbrooke's Hospital, Memorial Sloan Kettering Cancer Center, NSABP Foundation, Aalborg University Hospital, The University of Texas MD Anderson Cancer Center, Emory University, Winship Cancer Institute, Montefiore Medical Center
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: closed
OpenAlex ID: W7130208818
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