Immune profiling and prognostic model of pancreatic cancer using quantitative pathology and single-cell RNA sequencing.

ABSTRACT:

Background

Pancreatic ductal adenocarcinoma (PDAC) has a complex tumor immune microenvironment (TIME), the clinical value of which remains elusive. This study aimed to delineate the immune landscape of PDAC and determine the clinical value of immune features in TIME.

Methods

Univariable and multivariable Cox regression analyses were performed to evaluate the clinical value of immune features and establish a new prognostic model. We also conducted single-cell RNA sequencing (scRNA-seq) to further characterize the immune profiles of PDAC and explore cell-to-cell interactions.

Results

There was a significant difference in the immune profiles between PDAC and adjacent noncancerous tissues. Several novel immune features were captured by quantitative pathological analysis o

SUBMITTER: Chen K 

PROVIDER: S-EPMC10031915 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature