Julie M. Wilson

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.

The paper identifies four epithelial transcription states in pancreatic cancer and links their origins to early developmental processes.

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 develops a prognostic model for pancreatic ductal adenocarcinoma using meta-analysis of transcriptomic data, identifying gene pairs associated with early mortality after surgery.

The paper compares whole-genome data from primary pancreatic cancer, xenografts, and organoids to assess genetic concordance across different models.