SPP1 + macrophages facilitate pancreatic cancer progression via ITGB6-mediated interactions: evidence from integrated...

Basement membranes (BMs) and tumor-associated macrophages (TAMs) are crucial stromal components in pancreatic cancer (PC), critically influencing disease progression. Bulk and single-cell RNA-seq (scRNA-seq) data were acquired from publicly available databases. Through integration of multiple machine learning algorithms, we developed and validated a BM-related subtype and prognostic signature in PC cohorts. The expression profiles of BM-related genes in PC were verified using experimental approaches. We further investigated the functional mechanisms of a core gene in PC progression. Additionally, we characterized the TAM landscape in PC, revealing distinct TAM subsets associated with tumor progression and their dynamic interactions with BM components. Based on BM-related gene expression profiles, PC samples were stratified into two distinct subtypes. Our integrated prognostic signature combining LASSO and survival-SVM algorithms demonstrated robust performance in predicting PC outcomes and clinical characteristics. LAMA3, ITGA3, and ITGB6 showed higher expression in PC specimens versus normal controls. Functional experiments confirmed that ITGB6 knockdown markedly suppressed PC progression. Through integrative analysis of multiple scRNA-seq datasets of PC, we established a single-cell landscape of TAMs and ductal cells, respectively. SPP1 + TAMs correlated with poor PC prognosis and facilitated tumor progression through ITGB6-mediated interactions. In this study, we established novel PC subtypes and constructed a prognostic signature based on BM-related genes. An atlas of TAMs was constructed in PC. SPP1 + macrophages drove pancreatic cancer progression via ITGB6-mediated interactions.