S. H. Strand

This study uses scRNA-seq to analyze DCIS and normal breast tissue, identifying clonal heterogeneity and cell state changes associated with progression to invasive cancer.

The paper analyzes molecular differences in ductal carcinoma in situ (DCIS) by self-reported race and outcome groups, identifying variations in gene expression, tumor microenvironment, and copy number variations between Black and White women.

The paper develops a classifier for DCIS recurrence using genomic data from two cohorts and identifies pathways and stroma-specific signatures associated with progression to invasive cancer.

The paper analyzes tumor microenvironment changes from normal to invasive breast cancer using imaging and machine learning, finding coordinated shifts in stromal cell location and function.