Tim Underwood

This study identifies immune cell changes and gene expression patterns in Barrett's esophagus progression to cancer using spatial and multi-omic analyses.

This study compares protein expression between oesophageal adenocarcinoma and normal adjacent tissue using proteomics to identify differentially expressed proteins and pathways.

The paper investigates how CDKN2A and other 9p21 gene losses influence oesophageal cancer progression, finding context-dependent effects on survival and immune infiltration.

The paper develops assembloid models of esophageal adenocarcinoma using tumor organoids and fibroblasts to study the tumor microenvironment.

This study identifies genomic features associated with response to neoadjuvant chemotherapy in esophageal adenocarcinoma, finding lower mutation burden and specific copy number alterations linked to resistance.

The paper introduces conliga, a method for inferring high-resolution SCNA profiles from a low-cost and simple assay, addressing the need for affordable SCNA analysis in clinical settings.