Robert C. Grant

The paper uses whole-genome and transcriptome sequencing to identify two consensus cancer subtypes in biliary tract cancer, revealing divergent molecular landscapes that better explain tumor heterogeneity than anatomical classification.

This study characterizes morphological classes in pancreatic cancer using transcriptomic, genomic, and clinical data to identify molecular associations and prognostic implications.

This study analyzes ctDNA shedding in pancreatic cancer using paired tissue and plasma whole genomes, finding that subclones contribute significantly to early dissemination and ctDNA levels.

This study integrates spatial proteomics and genomics in PDAC to identify tumour-immune-stroma interactions and their genomic associations, showing multi-omics models improve patient survival prediction.

The paper shows adenomas from individuals with biallelic MUTYH or NTHL1 variants have mutational signatures similar to CRCs, suggesting adenomas can be used for variant classification and cancer prevention.