Predicting breast cancer response to neoadjuvant chemotherapy based on tumor vascular features in needle biopsies.

ABSTRACT: In clinical breast cancer intervention, selection of the optimal treatment protocol based on predictive biomarkers remains an elusive goal. Here, we present a modeling tool to predict the likelihood of breast cancer response to neoadjuvant chemotherapy using patient specific tumor vasculature biomarkers. A semi-automated analysis was implemented and performed on 3990 histological images from 48 patients, with 10-208 images analyzed for each patient. We applied a histology-based model to resected primary breast cancer tumors (n = 30), and then evaluated a cohort of patients (n = 18) undergoing neoadjuvant chemotherapy, collecting pre- and post-treatment pathology specimens and MRI data. We found that core biopsy samples can be used with acceptable accuracy (r = 0.76) to determine histologic

SUBMITTER: Brocato TA 

PROVIDER: S-EPMC6538356 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature