High SET Domain Bifurcated 1 (SETDB1) Expression Predicts Poor Prognosis in Breast Carcinoma
| Autor: | Qiang Zou, Zhaoping Zhou, Hongying Wang, Xinjie Tang, Wenlin Yang, Baojin Wu |
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| Rok vydání: | 2020 |
| Předmět: |
CD74
Gene regulatory network Gene Expression Triple Negative Breast Neoplasms Breast Neoplasms 030204 cardiovascular system & hematology Biology 03 medical and health sciences 0302 clinical medicine Breast cancer Databases Genetic Biomarkers Tumor medicine Humans Gene Regulatory Networks RNA Messenger Regulation of gene expression Oncogene Immunochemistry Gene Expression Profiling Computational Biology Histone-Lysine N-Methyltransferase Oncogenes General Medicine Prognosis medicine.disease Gene Expression Regulation Neoplastic Gene Ontology 030220 oncology & carcinogenesis Histone methyltransferase Database Analysis Histone Methyltransferases Cancer research Immunohistochemistry Female Neoplasm Recurrence Local Transcriptome |
| Zdroj: | Medical Science Monitor : International Medical Journal of Experimental and Clinical Research |
| ISSN: | 1643-3750 |
| DOI: | 10.12659/msm.922982 |
| Popis: | BACKGROUND SETDB1, an H3K9-specific histone methyltransferase, plays important roles in the progression of various human cancers. However, the expression patterns and its clinical roles of SETDB1 remain elusive in breast cancer (BC). MATERIAL AND METHODS The transcriptional level of SETDB1 and survival data in BC were analyzed through UALCAN, ONCOMINE, and Pan Cancer Prognostics Database. SETDB1 protein expression was assessed by immunohistochemistry (IHC) in 159 BC tissue samples. The associations between SETDB1 expression and clinical pathological characteristics of patients were analyzed. The GEO dataset GSE108656 was downloaded and analyzed to identify the differentially expressed genes (DEGs) between control and BC cells targeting interference with SETDB. The DEGs were further integrated by bioinformatics analysis to decipher the key signaling pathways and hub genes that are regulated by SETDB. RESULTS The public databases showed the level of SETDB1 mRNA was significantly upregulated in BC. Our IHC results demonstrated the level of SETDB1 protein was associated with tumor size (P=0.028), histopathological grading (P=0.012), lymph node metastasis (P |
| Databáze: | OpenAIRE |
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