Elinor J. Sawyer

The paper introduces SMART, a spatio-molecular atlas of TNBC response trajectories, revealing distinct epithelial archetypes and tumor-immune microenvironments associated with treatment response and prognosis.

The paper uses case-control data from over 400,000 women to classify BRCA1 and BRCA2 variants, finding high consistency with ClinVar annotations for 785 previously unclassified variants.

This paper develops a deep learning model to detect HER2 status in breast cancer, showing higher concordance with ground truth than pathologists for HER2-low cases.

The paper uses genomic profiling to show that some invasive breast cancers are clonally unrelated to their preceding DCIS, suggesting DCIS may act as both a precursor and independent risk factor.

The paper assesses breast cancer risks linked to rare missense variants in five susceptibility genes using logistic and mixture models, finding varying risk contributions across genes.

The paper analyzes rare copy number variants (CNVs) in breast cancer cases and controls, identifying associations with known and novel susceptibility loci.