4.6 Article

A comprehensive analysis of G-protein-signaling modulator 2 as a prognostic and diagnostic marker for pan-cancer

期刊

FRONTIERS IN GENETICS
卷 13, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2022.984714

关键词

Gpsm2; prognosis; phosphorylation; gene mutation; immune infiltration; pan-cancer

资金

  1. Natural Science Foundation of Shaanxi Province
  2. [2021SF-241]

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GPSM2 is highly expressed in most cancers, leading to decreased overall survival and disease-free survival in patients. Phosphorylation analysis suggests a complex process involved in tumor development with GPSM2. The role of GPSM2 in tumors may be associated with cellular immune infiltration.
Background: G-protein signaling modulator 2 (GPSM2) maintains cell polarization and regulates the cell cycle. Recent studies have shown that it is highly expressed in various tumors, but its pan-cancer analysis has not been reported. Methods: First, we analyzed the differential GPSM2 expression in normal and cancer tissues by the Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) and Human Protein Atlas databases and investigated its expression effect on the survival of cancer patients by gene expression profiling interactive analysis 2 (GEPIA2). Second, we analyzed the GPSM2 phosphorylation level using the clinical proteomic tumor analysis consortium dataset. In addition, we investigated GPSM2 gene mutations in human tumor specimens and the impact of gene mutations on patient survival. Finally, we analyzed the relationship between GPSM2 expression and cellular immune infiltration through the TIMER 2.0 database. Meanwhile, the possible signaling pathway of the gene was analyzed by the Gene Ontology (GO)vertical bar Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway to explore its potential mechanism. Results: GPSM2 is overexpressed in most cancers, which leads to reduced overall survival (OS) and disease-free survival in patients. The results of phosphorylation analysis suggest that tumor development involves a complex GPSM2 phosphorylation process. We identified GPSM2 mutation loci with the highest frequency of mutations in uterine corpus endometrial carcinoma (UCEC), and this mutation increased progression-free survival and overall survival in uterine corpus endometrial carcinoma patients. Finally, we found that the role of GPSM2 in tumors may be associated with cellular immune infiltration. Gene Ontology vertical bar KEGG pathway analysis showed that the enrichment pathways were mainly mitotic nuclear division, chromosome segregation, and spindle. Conclusions: Our pan-cancer analysis provides a comprehensive overview of the oncogenic roles and potential mechanisms of GPSM2 in multiple human cancers.

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