Sarah A. Mazzilli

This study identifies four molecular archetypes of lung adenocarcinoma premalignant lesions using bulk RNA and exome sequencing, linking proliferation-associated features to aggressive tumor outcomes.

This study uses in vitro exposure of human airway epithelial cells to genotoxic carcinogens to define mutational signatures associated with lung cancer.

The paper introduces GPAS to analyze gene co-expression modules in NSCLC, identifying lineage plasticity and aggressiveness patterns across different cancer subtypes.

This study shows the aryl hydrocarbon receptor (AhR) mediates IFNγ-induced PD-L1 and IDO1 in lung adenocarcinoma via JAK/STAT, leading to immunosuppression and tumor growth.

This study identifies hsa-miR-149-5p as a regulator of immune evasion in progressive bronchial premalignant lesions through integrative analysis of RNA and miRNA sequencing data.

This study compares the transcriptomic and developmental origins of lymphatic and venous smooth muscle cells in mice, finding they share similarities but distinct lineage origins.

This study shows that repetitive head impacts in young athletes cause neuronal loss and neuroinflammation before CTE pathology, with specific cellular changes linked to disease progression.

The paper establishes a database of lung cancer mouse models to improve data comparison and translational relevance by aligning mouse mutations with human lung cancer mutations.

This paper introduces GRAPE-Net, a graph-based model that stratifies bronchial premalignant lesions using histopathology images, showing improved classification accuracy for lung cancer subtypes.

The paper develops a method for single nucleus RNA-Seq from FFPE tissues and applies it to a human lung adenocarcinoma sample.

This study uses single-cell RNA sequencing to analyze smoking effects on bronchial epithelial cell types, identifying molecular changes and a novel subpopulation linked to premalignant lesions.