4.7 Article

The Expression Patterns and Prognostic Value of the Proteasome Activator Subunit Gene Family in Gastric Cancer Based on Integrated Analysis

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fcell.2021.663001

Keywords

proteasome activator subunit; Kaplan-Meier plotter; gastric cancer; prognosis; biomarkers; immune infiltration

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Increasing evidence supports the crucial role of proteasome activator subunit (PSME) genes in various tumors. In gastric cancer (GC), PSME genes show diverse expression patterns and potential prognostic value, with PSME1 and PSME2 up-regulation correlating with better survival outcomes. High PSME1 and PSME2 expression in GC patients is associated with enhanced anti-cancer immunity and potential response to immunotherapy, while PSME3 may act as an oncogene and PSME4 shows promise as a diagnostic indicator for GC.
Increasing evidence supports that proteasome activator subunit (PSME) genes play an indispensable role in multiple tumors. The diverse expression patterns, prognostic value, underlying mechanism, and the role in the immunotherapy of PSME genes in gastric cancer (GC) have yet to be fully elucidated. We systematically demonstrated the functions of these genes in GC using various large databases, unbiased in silico approaches, and experimental validation. We found that the median expression levels of all PSME genes were significantly higher in GC tissues than in normal tissues. Our findings showed that up-regulated PSME1 and PSME2 expression significantly correlated with favorable overall survival, post-progression survival, and first progression survival in GC patients. The expression of PSME1 and PSME2 was positively correlated with the infiltration of most immune cells and the activation of anti-cancer immunity cycle steps. Moreover, GC patients with high PSME1 and PSME2 expression have higher immunophenoscore and tumor mutational burden. In addition, a receiver operating characteristic analysis suggested that PSME3 and PSME4 had high diagnostic performance for distinguishing GC patients from healthy individuals. Moreover, our further analysis indicated that PSME genes exert an essential role in GC, and the present study indicated that PSME1 and PSME2 may be potential prognostic markers for enhancing survival and prognostic accuracy in GC patients and may even act as potential biomarkers for GC patients indicating a response to immunotherapy. PSME3 may serve as an oncogene in tumorigenesis and may be a promising therapeutic target for GC. PSME4 had excellent diagnostic performance and could serve as a good diagnostic indicator for GC.

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