L. T. Kagohara

The paper develops a spatial quantitative systems pharmacology model for virtual clinical trials in HCC, validated with spatial multi-omics data from a neoadjuvant immunotherapy trial.

This study uses spatial transcriptomics to analyze HCC tumors treated with cabozantinib and nivolumab, identifying distinct immune and fibrotic mechanisms linked to response and recurrence.

This paper develops a new protocol for spatial transcriptomics analysis of FFPE PanIN specimens and integrates it with imaging and scRNA-seq to study the progression from PanIN to PDAC.

This paper integrates single-cell RNA sequencing data with organoid co-cultures to study inflammatory signaling in pancreatic cancer and validates findings through transfer learning and mechanistic experiments.

The paper uses single-cell RNA-sequencing to show entinostat shifts tumor microenvironment cell states, reducing immunosuppression and enhancing immune checkpoint inhibitor responses in HER2+ breast tumors.

The paper uses single cell and bulk multi-omics to study early resistance mechanisms in HNSCC cells treated with cetuximab, identifying TFAP2A and EMT as independent pathways.