George A. Poultsides

The paper constructs a pan-cancer single-cell atlas to improve tumor identity inference and identify genetic vulnerabilities by integrating high-quality malignant cells across multiple cancers.

This study uses single-cell and spatial transcriptomics to identify distinct tumor states in uterine leiomyosarcomas and proposes drug targets based on these states.

The paper combines single cell DNA-Seq and RNA-Seq in gastric cancer to reveal subclonal genomic instability and gene expression patterns, showing evidence of tumor evolution.