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Regulator of G protein signaling 1 (RGS1) is known to be highly expressed in various tumors, but its specific effects and regulatory mechanism in ovarian cancer (OC) progression are not well understood. To delve into the tumor biology, a predictive risk model for OC was developed, incorporating RGS1, PRKG2, CD24, and ABCB1, with RGS1 exhibiting the strongest correlation. The model's reliability and validity were confirmed through Kaplan-Meier analysis, receiver operating characteristic (ROC) curve, and principal component analysis (PCA). The risk score was validated as an independent indicator of overall survival, and a nomogram model was created to predict overall survival. Moreover, RGS1 expression was found to be up-regulated and associated with a poor prognosis in OC. Functional studies revealed that deleting RGS1 inhibited OC cell proliferation both in vitro and in vivo, while overexpression of RGS1 enhanced cell proliferation. Additionally, blocking the NF-kB pathway was shown to impede RGS1-induced proliferation, and overexpression of p65 partially reversed the effects of RGS1 deletion, promoting the tumorigenic properties of OC cells. These findings suggest that RGS1 could be a valuable biomarker for predicting prognosis and a potential novel therapeutic target for OC treatment.
Pubmed ID: 39757280
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The GEO Profiles database stores gene expression profiles derived from curated GEO DataSets. Each Profile is presented as a chart that displays the expression level of one gene across all Samples within a DataSet. Experimental context is provided in the bars along the bottom of the charts making it possible to see at a glance whether a gene is differentially expressed across different experimental conditions. Profiles have various types of links including internal links that connect genes that exhibit similar behaviour, and external links to relevant records in other NCBI databases. GEO Profiles can be searched using many different attributes including keywords, gene symbols, gene names, GenBank accession numbers, or Profiles flagged as being differentially expressed.
View all literature mentionsSoftware for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.
View all literature mentionsA commercial antibody supplier which supplies primary and secondary antibodies, biochemicals, proteins, peptides, lysates, immunoassays and other kits.
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