Laura S. Rozek

This study examines HPV integration in HNSCC using RNA-seq data to link splicing events and expression ratios to poor clinical outcomes.

This study shows that HPV16 E6 splicing variants influence oropharyngeal cancer aggressiveness by altering E-cadherin localization and clinical outcomes.

This paper develops a machine learning classifier to subtype HPV+ HNSCC tumors into IMU or KRT using bulk RNA-seq data and validates its accuracy across multiple cohorts.

The paper uses single-cell RNA sequencing to analyze ALDH+ and CD44+CD24- populations in normal human breast tissue, revealing heterogeneity and hybrid epithelial/mesenchymal cells with stemness and EMT features.