Soo‐Ryum Yang

This study examines ecDNA in lung cancer, finding it in 18.9% of patients and associating it with worse survival and genomic instability.

This paper develops a deep learning model to predict molecular alterations in never-smoker lung adenocarcinomas from histological images, achieving high accuracy for most features.

This study identifies RRASQ87L and RRAS2Q72L mutations as recurrent oncogenic drivers in lung cancer and shows sensitivity to the pan-RAS inhibitor RMC-6236.

This study identifies three distinct evolutionary trajectories in lung adenocarcinomas using whole-genome sequencing, revealing that some never-smoking tumors follow smoking-like paths driven by KRAS mutations.

The paper identifies three subtypes of NS-LUAD using RNA-seq data and develops a 60-gene signature that predicts survival across subgroups.

This study analyzes 1024 lung adenocarcinomas to identify evolutionary patterns and mutational mechanisms, revealing distinct trajectories linked to smoking, ancestry, and retrotransposition.

This study identifies a four amino acid motif in VISTA that suppresses tumor growth by altering EGFR signaling through NUMB recruitment.

The paper describes the development and clinical application of MSK-ACCESS, a liquid biopsy assay that improves the specificity of somatic variant detection in cell-free DNA by using paired normal sequencing.