Data from Computational Modeling of Cellular Influence Delineates Functionally Relevant and Distinct Cellular Neighborhoods in Primary and Metastatic Pancreatic Ductal Adenocarcinoma

作者：Yeonju Cho, Jae W. Lee, Sarah M. Shin, Alexei Hernandez, Xuan Yuan, Jowaly Schneider, Jody E. Hooper, Laura D. Wood, Elizabeth M. Jaffee, Atul Deshpande, Won Jin Ho · 年份：2026 · DOI：10.1158/2326-6066.c.8545201 · 研究领域：Single-cell and spatial transcriptomics、Pancreatic and Hepatic Oncology Research、Mathematical Biology Tumor Growth

<div>Abstract<p>Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer, with liver metastases significantly worsening outcomes. However, features of the tumor microenvironment (TME) that are distinct between primary and metastatic sites remain poorly defined. Cellular neighborhoods within the TME are recognized as functional units that influence tumor behavior. Conventional spatial methods, which assign equal weights to all cells in a region, fail to capture the nuances of cellular interactions. To address this, we report here the development of Functional Cellular Neighborhood (FunCN) quantification, which integrates both the proportion and proximity of surrounding cells. Applying FunCN to PDAC imaging mass cytometry data, we identified neutrophil-enriched interactions in liver metastases compared with primary tumors, correlating with elevated VISTA expression by tumor cells. Additionally, FunCN clusters around CD8<sup>+</sup> T cells in the pancreas and liver were associated with higher TIGIT and LAG3, respectively. These findings demonstrate the importance of spatial immune landscapes in PDAC and identify potential therapeutic opportunities.</p></div>