Table 2 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

PFS for the test cohort of PAM50-assigned LumA breast cancer, comparing pure vs. admixed cases based on the proportion of the tumor image classified as LumA by the deep learning model

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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.