Bioinformatics- and quantitative proteomics-based identification of gastric adenocarcinoma-related proteins and analysis.

ABSTRACT:

Background

The emergence of immune resistance and a lack of effective therapeutic targets have become significant challenges in immunotherapy, highlighting the urgent need for new molecular markers and treatment targets. Moreover, the significance and mechanisms of PGRN (Progranulin) in gastric cancer remain ambiguous.

Objective

To identify differentially expressed proteins in gastric cancer and elucidate the function and mechanism of PGRN.

Methods

The data-independent acquisition proteomics was used to identify the differentially expressed proteins in gastric adenocarcinoma and the corresponding paraneoplastic tissues, providing a comprehensive dataset of gastric cancer-related proteins. The function and mechanism of PGRN in gastric cancer were further explored using

SUBMITTER: Liu W 

PROVIDER: S-EPMC11626274 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature