Alicia M. Braxton

This study shows that 3D assessments are necessary to accurately determine tissue composition and neoplastic content, as 2D methods under-sample spatial heterogeneity.

The paper profiles the immune microenvironment of PanINs in 3D at single-cell resolution to understand inflammation's role in cancer progression and finds immune heterogeneity and correlations with PanIN grade.

The paper uses AI-based 3D tissue mapping to show PanIN lesion sizes follow a power-law distribution and identifies growth mechanisms driving pancreatic cancer precursor lesions.