Lacey Elizabeth Dobrolecki

This study uses 3D electron microscopy to analyze mitochondrial network changes in residual triple negative breast cancer after chemotherapy, revealing structural remodeling and lipid droplet interactions associated with chemoresistance.

This study identifies OXA1L-dependent mitochondrial translation as a targetable dependency in chemo-refractory TNBC, showing that inhibiting it enhances chemotherapy sensitivity.

The paper introduces an AI model to analyze mitochondrial morphology in TNBC using TEM images, finding significant structural changes in response to chemotherapy and metastasis.

This paper develops chemotherapy-specific predictors for triple-negative breast cancer using patient-derived xenografts and multi-omic data, achieving high AUROC scores for response prediction.

The paper presents a pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis of tumor regions and xenograft-transplant lymphoproliferative disorder prediction.