Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0476089 (endometrial cancer)
 11,379 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Purpose: N6-methyladenosine (m6A) methylation was the most abundant internal modification on messenger RNAs in eukaryotes. This study intended to explore the role of m6A methylation in endometrial cancer (EC). Materials and Methods: The m6A-sequencing data "GSE93911" of human EC were downloaded from Gene Expression Omnibus database. Hisat2 software and MACS2 were used to perform the alignment of reads and m6A methylation peak calling, and the peaks were annotated using Chipseeker. Then, differential m6A methylation peaks between normal and tumor samples were analyzed, followed by the functional enrichment analysis of the differentially methylated genes in promoter and 3' untranslated region (UTR) using Clusterprofiler. Based on the 450K methylated chip data, gene expression and clinical data in The Cancer Genome Atlas, the differentially methylated genes were verified, followed by Cox univariate/multivariate regression analysis and survival analysis. Finally, a risk prognosis model was constructed. Results: The m6A peak number was decreased in EC. The distribution of m6A peaks was highly enriched near transcriptional start site, in promoter, UTR, intron and exon, followed by distal intergenic. A total of 581 differentially methylated genes (361 hyper- and 220 hypomethylated genes) were identified in promoter and UTR regions that were enriched in insulin resistance (IR) and extracellular matrix (ECM). A total of 181 genes with significant differential expressions and differential methylation site in EC were selected. Of which, 31 genes were correlated with survival, and an 11-gene risk prognosis model was identified, including GDF7, BNC2, SLC8A1, B4GALNT3, DHCR24, ESRP1, HOXB9, IGSF9, KIAA1324, MSnX1, and PHGDH. Conclusion: The m6A methylation regulated EC progression by targeting the genes related to IR and ECM. A 11-gene risk prognosis model was identified to predict survival of patients with EC.
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PMID:The Role of N6-Methyladenosine Methylation in the Progression of Endometrial Cancer. 3305 42

By analyzing the gene expression of endometrial carcinoma (EC) patients, the key factors in PI3K signaling pathway and its related genes mediating EC were explored. The EC samples and normal endometrial samples were downloaded from TCGA database and GTEx database. The R language "limma" package was used for differential analysis, and the expression level of genes in each tissue was analyzed by "gganatogram" package. Functional enrichment analysis of differential genes was carried out by KOBAS, an online bioinformatics website. The correlation between key genes and differential genes was evaluated using TCGA data and GTEx combined gene expression data. The corresponding clinical data were downloaded from TCGA database and GTEx database, and the R language "survival" package was used to assess the potential of candidate differential genes as a key factor of EC. Based on the combined differential analysis of TCGA and GTEx databases, 299 genes with significant differential in expression were finally got. Functional enrichment analysis revealed that genes were predominantly enriched in the entry of "Pathways in cancer", including RAC2 and PIK3R3 genes which were related with the abnormal PI3K pathway in cancer. PIK3R3, a key gene in the PI3K signaling pathway, was highly-expressed in EC. SPDEF, GCNT2, KIAA1324, C9orf152, MARVELD3, and APEX2 genes were found to be positively correlated with PIK3R3 in EC, all of which were highly expressed in EC. KM survival analysis showed that SPDEF, GCNT2, KIAA1324 and C9orf152 were significantly correlated with patients' survival. ROC analysis showed that SPDEF, GCNT2, KIAA1324 and C9orf152 gene could be used as potential markers for prognosis and survival of EC patients. It was found that PIK3R3, a key gene in the PI3K signaling pathway, was highly expressed in EC. The SPDEF, GCNT2, KIAA1324 and C9orf152 genes were also highly expressed in EC, and were positively correlated with PIK3R3 in EC. Moreover, they are significantly correlated with the patients' survival, suggesting that they may be potential markers for the prognosis of patients with EC.
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PMID:Key factors mediated by PI3K signaling pathway and related genes in endometrial carcinoma. 3315 65