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

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

Front Genet

Department of Hand Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Published: September 2022

AI Article Synopsis

  • G-protein signaling modulator 2 is found to be overexpressed in various tumors, linked to poorer survival rates for cancer patients.
  • The research utilized various databases to analyze gene expression differences between normal and cancer tissues, phosphorylation levels, gene mutations, and their impact on survival.
  • Additionally, the study explored the gene's association with immune cell infiltration and key signaling pathways involved in cancer progression, highlighting its potential role in tumor biology.

Article Abstract

G-protein signaling modulator 2 () 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. First, we analyzed the differential 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 phosphorylation level using the clinical proteomic tumor analysis consortium dataset. In addition, we investigated gene mutations in human tumor specimens and the impact of gene mutations on patient survival. Finally, we analyzed the relationship between 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)| Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway to explore its potential mechanism. 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 phosphorylation process. We identified 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 in tumors may be associated with cellular immune infiltration. Gene Ontology|KEGG pathway analysis showed that the enrichment pathways were mainly "mitotic nuclear division," "chromosome segregation," and "spindle." Our pan-cancer analysis provides a comprehensive overview of the oncogenic roles and potential mechanisms of in multiple human cancers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523219PMC
http://dx.doi.org/10.3389/fgene.2022.984714DOI Listing

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