Table 1 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images

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posted on 2025-01-27, 11:20 authored by Nikhil Cherian Kurian, Peter H. Gann, Neeraj Kumar, Stephanie M. McGregor, Ruchika Verma, Amit Sethi

Clinical and molecular features of PAM50 LumA breast cancers in the test set according to the quartile of the tumor area classified as LumA by the deep learning model (total n = 230)

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ARTICLE ABSTRACT

A deep learning model, trained using transcriptomic data, inexpensively quantifies and fine-maps ITH due to subtype admixture in routine images of LumA breast cancer, the most favorable subtype. This new approach could facilitate exploration of the mechanisms behind such heterogeneity and its impact on selection of therapy for individual patients.