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      Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes.

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          Abstract

          To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression-based "intrinsic" subtypes luminal A, luminal B, HER2-enriched, and basal-like.

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          Author and article information

          Journal
          J Clin Oncol
          Journal of clinical oncology : official journal of the American Society of Clinical Oncology
          American Society of Clinical Oncology (ASCO)
          1527-7755
          0732-183X
          Sep 10 2023
          : 41
          : 26
          Affiliations
          [1 ] From the Lineberger Comprehensive Cancer Center and Departments of Genetics, Pathology and Laboratory Medicine, and Department of Statistics and Operations Research, Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Pathology, University of Utah Health Sciences Center; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT; Genetic Pathology Evaluation Centre, Department of Pathology, Vancouver Coastal Health Research Institute; Departments of Pathology and Radiation Oncology, British Columbia Cancer Agency; Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada; Genome Sequencing Facility and Division of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO; and Department of Pathology, Thomas Jefferson University, Philadelphia, PA.
          Article
          10.1200/JCO.22.02511
          37672882
          7c306364-9037-41b9-b559-3d856b0e743e
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