Gloria Vittone Echeverria

Mitochondrial rewiring supports survival of triple negative breast cancer cells after ionizing radiation

This study shows that TNBC cells surviving ionizing radiation adopt an OPA1-dependent mitochondrial reprogramming that supports their survival and regrowth.

Mitochondrial Responses to Conventional and Ultra-high Dose Rate (FLASH) Radiation

This study investigates how FLASH and conventional radiation affect mitochondrial function in tumor and nontumorigenic cells, finding FLASH preserves mitochondrial integrity in non-tumor cells.

Three-dimensional electron microscopy uncovers mitochondrial network remodeling in residual triple negative breast cancer persisting after conventional chemotherapy treatments.

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.

Mitochondrial translation is a targetable dependency of chemo-refractory triple negative breast cancer

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

An annotated biobank of triple negative breast cancer patient-derived xenografts featuring treatment-naive and longitudinal samples throughout neoadjuvant chemotherapy

The paper establishes a biobank of TNBC patient-derived xenografts with treatment-naive and longitudinal samples to study chemoresistance and metastasis.

Artificial intelligence-enabled automated analysis of transmission electron micrographs to evaluate chemotherapy impact on mitochondrial morphology in triple negative breast cancer

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.

Patient-Derived Xenograft-Guided Prediction of Chemotherapy Response in Triple-Negative Breast Cancer

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.

Xenomake: a pipeline for processing and sorting xenograft reads from spatial transcriptomic experiments

Xenomake processes and sorts xenograft reads from spatial transcriptomic experiments, improving data quality and compatibility with downstream analysis.