Gun Ho Jang

This study shows HMGA2 in PDAC drives immunosuppressive TME by upregulating IL1α, which promotes CAFs and reduces CD8+ T cells, and blocking IL1 improves tumor control with KRAS inhibitors.

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 identifies MICAL2 as a super enhancer-associated gene that promotes pancreatic cancer growth and metastasis through multiple molecular mechanisms.

This study shows that eliminating nSMase2 in pancreatic cancer reduces tumor growth, promotes a less aggressive tumor subtype, and enhances immune responses by altering exosome production and macrophage polarization.

The paper infers multicellular ecosystems from nonspatial scRNA-seq data and shows they predict therapy response and are linked to somatic mutations.

The paper benchmarks 31 subclonal reconstruction algorithms on simulated tumours, finding that algorithm choice significantly impacts performance and no single algorithm excels across all tasks.

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.

This paper introduces PhyloWGS, a method for subclonal reconstruction from whole genome sequencing data, showing it can accurately recover subclonal composition, genotype, and phylogeny using both SSMs and CNVs.