A comprehensive analysis-based study of triphenyl phosphate-environmental explanation of glioma progression

As BFRs have gradually been banned recently, organophosphorus flame retardants (OPFRs) have been manu-factured and used in their place. Although OPFRs are considered the better alternatives to BFRs, many studies have discovered that OPFRs may be associated with various cancers, including prostate cancer, bladder cancer, hepatocellular carcinoma, and colorectal cancer. However, few studies have examined the relationship between OPFRs and gliomas. This study investigated the relationship between triphenyl phosphate (TPP) and glioma using bioinformatics analysis approaches. The comparative toxicogenomics database (CTD) and The Cancer Genome Atlas (TCGA) databases were accessed for TPP-related genes and gene expression data from glioma patients. The Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrich-ment analyses show that TPP might be closely related to many pathways. Further, the analysis of protein-protein interactions revealed strong intrinsic relationships between TPP-related genes. In addition, the TPP-based prognostic prediction model demonstrated promising results in predicting the prognosis of patients with gli-omas. Several TPP-related genes were closely related to glioma patients' overall survival rates. The proliferation and migration abilities of glioma cells were further demonstrated to be significantly enhanced by TPP. In a bioinformatics analysis, we also discovered that melatonin is highly correlated with the presence of TPP and gliomas. According to the cell proliferation and migration assays, exposure to melatonin and TPP inhibited the ability of glioma cells to invade compared with the TPP group.

Automated summary

As brominated flame retardants (BFRs) have been gradually banned and replaced by organophosphorus flame retardants (OPFRs), this study investigated the relationship between triphenyl phosphate (TPP) and glioma. The study utilized bioinformatics analysis and databases to identify TPP-related genes, gene expression data, and pathways. The analysis revealed the potential association of TPP with glioma and its impact on patients' prognosis.