John P. Burke

The paper investigates cell engulfment in colorectal cancer, showing it creates competitive metabolic niches linked to clinical outcomes.

This paper identifies a five-protein stem cell signature using a deep neural network that predicts relapse in stage III colorectal cancer patients.

The paper introduces a multi-step filtering pipeline to remove human reads from WGS data, improving detection of Fusobacterium in rectal cancer samples confirmed by immunohistochemistry.

This study uses high-resolution spatial proteomics to characterize colorectal cancer consensus molecular subtypes at single-cell resolution, revealing subtype-specific immune and metabolic features.