Spatial Transcriptomics Study Provides New Insights into Pancreatic Cancer Precursors

By integrating spatial transcriptomics with machine learning and single-cell datasets, researchers at Johns Hopkins Kimmel Cancer Center have uncovered novel molecular and cellular markers in the development of pancreatic intraepithelial neoplasias (PanINs), precursors to pancreatic ductal adenocarcinoma (PDAC).

The study, published in Cell Systems, analyzed 14 PanINs from nine patients, including five rare high-grade lesions. The innovative three-way analysis pipeline revealed key features of pancreatic cancer present in PanINs, providing crucial insights into PDAC progression.

Luciane Kagohara, an assistant professor of oncology and senior study co-author, highlighted a significant finding: "When we looked at the progression of normal to high grade PanIN lesions, we found that cell proliferation gradually increases while inflammatory signaling decreases." This observation suggests an early development of an immunosuppressive environment, even before PDAC fully forms.

The research also identified the presence of cancer-associated fibroblasts at the premalignant stage, a finding previously observed only in animal models. Despite the small size of PanINs (less than 1 millimeter), the team detected strong signatures from these lesions, emphasizing the power of their analytical approach.

Dr. Kagohara stressed the importance of computational tools in analyzing spatial transcriptomics data: "With the right tools, you can enhance the results that you can extract from these novel technologies."

To promote collaboration, the study's data and code have been made publicly available. The researchers hope this resource will aid in the search for early detection markers and further our understanding of how spatial distribution of molecular and cellular signatures affects pancreatic cancer progression and treatment response.