Comprehensive analysis of single-cell and bulk RNA sequencing data unveils antigen-presenting and processing fibroblasts and establishes a predictive model in gastric cancer

Comprehensive analysis of single-cell and bulk RNA sequencing data unveils antigen-presenting and processing fibroblasts and establishes a predictive model in gastric cancer

Abstract Background Antigen-presenting and processing fibroblasts (APPFs) have emerged as pivotal regulators of antitumor immunity. However, the predictive value of APPF-related genes (APPFRGs) in the prognosis and tumor immune status of gastric cancer (GC) remains largely unexplored. Methods Bioinf...

Full description

Saved in:
Bibliographic Details
Main Authors: Chenggang Zhang, Fangqi Chen, Jie Li, Yixuan He, Juan Sun, Zicheng Zheng, Guanmo Liu, Yihua Wang, Weiming Kang, Xin Ye
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Cancer Cell International
Subjects:
Gastric cancer
Fibroblast
Antigen presentation and processing
Single-cell sequencing
Predictive model
Bioinformatics analysis
Online Access:https://doi.org/10.1186/s12935-025-03878-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12935-025-03878-9

Similar Items