Computer Extracted Features Of Tumor Grade From H&E Images Predict Oncotype Dx Risk Categories For Early Stage Er Plus Breast Cancer

Introduction: The ODx test is a 21 gene assay that is currently employed for separating Estrogen Receptor positive (ER+) breast cancer patients into low (L) and high (H) risk of recurrence categories, helping clinicians decide if adjuvant chemotherapy is appropriate. In this study, we sought to explore whether computer extracted features pertaining to tumor grade (nuclear pleomorphism, tubule count, mitotic index) in conjunction with a machine learning classifier were predictive of the corresponding ODx risk category for ER+ breast cancer patients. Design: First, 2000x2000 pixel sub-regions of digitized HE 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P4-09-11.