Combining single-cell and bulk RNA sequencing, NK cell marker genes reveal a prognostic and immune status in pancreatic ductal adenocarcinoma

Sci Rep. 2024 Jul 1;14(1):15037. doi: 10.1038/s41598-024-65917-1.

Abstract

The NK cell is an important component of the tumor microenvironment of pancreatic ductal adenocarcinoma (PDAC), also plays a significant role in PDAC development. This study aimed to explore the relationship between NK cell marker genes and prognosis, immune response of PDAC patients. By scRNA-seq data, we found the proportion of NK cells were significantly downregulated in PDAC and 373 NK cell marker genes were screened out. By TCGA database, we enrolled 7 NK cell marker genes to construct the signature for predicting prognosis in PDAC patients. Cox analysis identified the signature as an independent factor for pancreatic cancer. Subsequently, the predictive power of signature was validated by 6 GEO datasets and had an excellent evaluation. Our analysis of relationship between the signature and patients' immune status revealed that the signature has a strong correlation with immunocyte infiltration, inflammatory reaction, immune checkpoint inhibitors (ICIs) response. The NK cell marker genes are closely related to the prognosis and immune capacity of PDAC patients, and they have potential value as a therapeutic target.

Keywords: Immunotherapy; NK cell marker genes signature; Pancreatic ductal adenocarcinoma; Prognosis; Single-cell RNA-sequencing.

MeSH terms

  • Aged
  • Biomarkers, Tumor* / genetics
  • Carcinoma, Pancreatic Ductal* / genetics
  • Carcinoma, Pancreatic Ductal* / immunology
  • Carcinoma, Pancreatic Ductal* / mortality
  • Carcinoma, Pancreatic Ductal* / pathology
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Killer Cells, Natural* / immunology
  • Male
  • Middle Aged
  • Pancreatic Neoplasms* / genetics
  • Pancreatic Neoplasms* / immunology
  • Pancreatic Neoplasms* / mortality
  • Pancreatic Neoplasms* / pathology
  • Prognosis
  • Sequence Analysis, RNA
  • Single-Cell Analysis* / methods
  • Tumor Microenvironment / genetics
  • Tumor Microenvironment / immunology

Substances

  • Biomarkers, Tumor