Cathrin Brisken

The paper introduces a modular lentiviral system for multiplexed gene perturbation and functional analysis, showing that ER+ breast cancer cells rely on AR, ER, and PR for in vivo growth.

CNN patch classifiers trained only on normal breast H&E slides label epithelium, stroma and adipocytes with AUCs of 0.98–1.00 on three external cohorts and feed a lobule-detection pipeline.

LOX inhibition disrupts a collagen-integrin-MYC axis in ILC, halting tumor growth and metastasis with minimal toxicity, offering a new therapeutic strategy.

This study shows CDK4 inhibition in TNBC cells reduces apoptosis sensitivity and disrupts mitochondrial calcium signaling through MERCs, contributing to resistance to CDK4/6 inhibitors.

The paper introduces a deep learning tool to classify xenograft cells in histological images by analyzing contextual features, achieving up to 96% accuracy in distinguishing human and murine cells.