The Prognostic Significance of Proteasome 26S Subunit, Non-ATPase (PSMD) Genes for Bladder Urothelial Carcinoma Patients.

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Cancer Informatics Pub Date : 2021-12-22 eCollection Date: 2021-01-01 DOI:10.1177/11769351211067692
AbdulFattah Salah Fararjeh, Ali Al-Khader, Malak Al-Saleem, Rinad Abu Qauod
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引用次数: 13

Abstract

Proteasome a highly sophisticated systems that alter protein structure and function. Proteasome 26S Subunit, Non-ATPase (PSMD) genes have been implicated in several types of malignancies. This is the first study to look at how proteasomal subunits are expressed in patients with bladder urothelial carcinoma (BLCA). BLCA was used to evaluate the predictive value of PSMD genes (PSMD1 to PSMD12) in relation to clinicopathological characteristics. PSMD genes' expression patterns at the mRNA level were analyzed using a variety of bioinformatics methods, including gene expression profile integrative analysis (GEPIA), Oncomine, TCGA, and Gene expression Omnibus (GEO) databases. The GEPIA and TCGA dataset survival plot functions were used to assess the prognostic significance of PSMD genes. PSMD2, PSMD3, PSMD4, PSMD8, and PSMD11 genes were significantly overexpressed in BLCA compared with normal bladder tissues. PSMD2 and PSMD8 were significantly overexpressed in BLCA more than other types of cancer. High level of PSMD2 and PSMD8 predicted shorter overall (OS) and progression free survival (PFS) in BLCA patients. High level of PSMD2 was significantly associated with elder age (P< .001), female gender (P = .014), tumor grade (P< .001), and metastasis (P = .003). PSMD2 has been shown to be an independent predictor for OS in BLCA patients based on univariate and multivariate analysis (P< .001). Overall, according to this study, PSMD2 and PSMD8 could be served as a prognostic biomarker for BLCA patients.

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蛋白酶体26S亚基非atp酶(PSMD)基因对膀胱尿路上皮癌患者预后的意义。
蛋白酶体是一个高度复杂的系统,可以改变蛋白质的结构和功能。蛋白酶体26S亚基,非atp酶(PSMD)基因与几种类型的恶性肿瘤有关。这是第一个观察膀胱尿路上皮癌(BLCA)患者中蛋白酶体亚基表达的研究。采用BLCA评价PSMD基因(PSMD1 ~ PSMD12)对临床病理特征的预测价值。采用多种生物信息学方法,包括基因表达谱整合分析(GEPIA)、Oncomine、TCGA和gene expression Omnibus (GEO)数据库,分析了PSMD基因在mRNA水平上的表达模式。使用GEPIA和TCGA数据集生存图函数来评估PSMD基因的预后意义。与正常膀胱组织相比,BLCA中PSMD2、PSMD3、PSMD4、PSMD8和PSMD11基因显著过表达。PSMD2和PSMD8在BLCA中的过表达明显高于其他类型的癌症。高水平的PSMD2和PSMD8预测BLCA患者的总生存期(OS)和无进展生存期(PFS)较短。PSMD2高水平与年龄(P .001)、女性(P = .014)、肿瘤分级(P .001)、转移(P = .003)相关。基于单因素和多因素分析,PSMD2已被证明是BLCA患者OS的独立预测因子(P .001)。总之,根据本研究,PSMD2和PSMD8可以作为BLCA患者的预后生物标志物。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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