Integrated analysis highlights genomic aberrations and immune response in pancreatic ductal adenocarcinoma, suggesting novel patient stratification.
Key Points
Spatial single cell data outperformed genomic features for predicting outcomes in pancreatic ductal adenocarcinoma, emphasizing the importance of microenvironment mapping.
Using imaging mass cytometry, distinct tumour-immune-stroma interactions were identified, revealing their association with genetic changes and treatment responses.
Comprehensive multi-omics analysis defined co-dependencies within the tumour microenvironment, aiding in personalized therapeutic targeting for patients with PDAC.
This research supports the use of integrated approaches for refining patient classification and improving survival predictions in pancreatic cancer.