Constructing Scissor+ risk model to predict prognosis and immunotherapy responses in PAAD by integrating bulk and single-cell RNA sequencing data.

ABSTRACT:

Background

This study focused on epithelial cells to construct a prognostic risk model and provide targeted insights into responses to immunotherapy.

Methods

Single-cell RNA sequencing (scRNA-seq) was clustered using Uniform Manifold Approximation and Projection (UMAP) and a risk model was developed through Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. Kaplan-Meier analysis was performed to evaluate the prognosis of PAAD. The biological characteristics of LIPH were assessed using CCK-8, colony formation and Transwell assays.

Results

Eight major cell clusters were identified, revealing two developmental trajectories for malignant epithelial cells from primary to metastases. Epithelial cells were categorized into Scissor+ and Scissor- subt

SUBMITTER: Zhang G 

PROVIDER: S-EPMC12491314 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature