Jia Wu

The paper identifies tetrads as a multicellular immune unit that correlates with antitumor immunity and response to checkpoint blockade in mouse and human tumors.

This study develops gene expression signatures from LUSC tumors to predict progression risk of precancerous lesions, finding they outperform genomic aberrations in prognosis and correlate with immune features.

This study benchmarks five DNA foundation models across genomic tasks, finding that mean token embeddings improve classification performance and specialized models outperform general ones in gene expression and QTL prediction.

GASPS develops a statistical framework to define genomic aberration-driven signatures and predict patient outcomes in lung cancer using transcriptomic data.

The paper investigates how anti-cancer immunity evolves from preneoplasia to invasive lung adenocarcinomas, identifying changes in immune response and molecular features that may facilitate immune evasion.

This study shows that transcriptomic features, not genomic characteristics, drive the histologic phenotype of lung cancers.