Won Jin Ho

The paper identifies periductal fibroblast density as a key factor in immune exclusion in pancreatic cancer, showing that CD44-dependent stromal checkpoints restrict leukocyte access to tumor epithelium.

The paper calibrates a spatial QSP model using CODEX data to predict TME states and identify biomarkers for HCC immunotherapy response.

This study shows antigen-presenting cancer-associated fibroblasts (apCAFs) in murine pancreatic tumors influence regulatory T cell phenotype and function through CXCL9 and CCL22, affecting immune checkpoint blockade response.

The paper develops a 3D multi-omic pipeline using deep learning to analyze chemotherapy response in pancreatic cancer, identifying molecular signatures of resistance and fibroblast-cancer interactions.

The paper introduces FunCN, a method to analyze cellular neighborhoods in PDAC, revealing distinct immune interactions in primary and metastatic sites.

PIVOT is an open-source tool for nonlinear registration of multi-omic spatial data, demonstrating improved throughput compared to existing workflows.

The paper investigates how cancer-associated fibroblasts (CAF) influence tumor cell behavior in pancreatic ductal adenocarcinoma by driving EMT and altering cell subtypes, with IL-8 playing a key modulatory role.

This study uses spatial multi-omics to identify TLS-associated immune niches in PDAC that correlate with improved survival in immunotherapy responders.

The paper uses spatial analysis to show metastasis-initiating cancer cells in breast tumors are closely associated with specific macrophage subtypes, suggesting these interactions promote metastasis.

The paper profiles the immune microenvironment of PanINs in 3D at single-cell resolution to understand inflammation's role in cancer progression and finds immune heterogeneity and correlations with PanIN grade.

This study identifies high-motility tumor-associated monocytes (TAMos) that drive macrophage infiltration and cancer cell proliferation via IL-6 and MAPK pathways, suggesting IL-6 as a therapeutic target.

This paper introduces SpaceMarkers, a method to infer molecular changes from cell-cell interactions in spatial transcriptomics data, applied to tumor-immune interactions in metastasis and immunotherapy.

This study uses single-cell RNA sequencing to identify dysregulated fibroblast subclusters in prurigo nodularis, linking them to cancer-associated fibroblast-like phenotypes and increased cancer risks.