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低表达表明肾癌患者预后不良的生物标志物。

Low Expression Indicates a Biomarker of Poor Prognosis in Patients with Renal Cell Carcinoma.

机构信息

The Key Laboratory of Molecular Epigenetic, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China.

Key Laboratory of JiLin Province for Zoonosis Prevention and Control, Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun 130122, China.

出版信息

Biomed Res Int. 2021 Mar 24;2021:6682758. doi: 10.1155/2021/6682758. eCollection 2021.

Abstract

It was initially found that neural-restrictive silencer factor/repressor 1-silencing transcription factor () is a transcriptional repressor of neuronal genes in nonneuronal cells. However, it is reported to be abundantly expressed in various types of aggressive cancer cells. In this study, we evaluated the expression patterns of in renal cell carcinoma and found that its expression is lower in tumor tissues compared to normal tissues. The chi-square test showed that the low expression was closely related to patients' clinicopathologic parameters, including the pathologic stage and survival status. ROC curve showed that had excellent clinical diagnostic prospect. In addition, patients with low expression had poor over survival (OS) and relapse-free survival (RFS). Univariate and multivariate Cox regression analysis confirmed that the low expression was an independent predictor of poor prognosis in renal cell carcinoma. Gene set enrichment analysis identified P53 pathway, reactive oxygen species pathway, glycolysis, DNA repair, cholesterol homeostasis, and MYC targets V2 enriched with low expression phenotype. These results suggested that may be a novel biomarker for the diagnosis and prognosis of renal cell carcinoma in clinical applications.

摘要

最初发现神经抑制性沉默因子/抑制转录因子()是神经细胞中非神经元细胞中神经元基因的转录抑制剂。然而,据报道,它在各种侵袭性癌细胞中大量表达。在这项研究中,我们评估了在肾细胞癌中的表达模式,发现其在肿瘤组织中的表达水平低于正常组织。卡方检验表明,低表达与患者的临床病理参数密切相关,包括病理分期和生存状态。ROC 曲线表明在临床诊断方面有很好的应用前景。此外,低表达的患者总生存(OS)和无复发生存(RFS)较差。单因素和多因素 Cox 回归分析证实,低表达是肾细胞癌预后不良的独立预测因子。基因集富集分析确定了富含低表达表型的 P53 通路、活性氧通路、糖酵解、DNA 修复、胆固醇稳态和 MYC 靶标 V2。这些结果表明,在临床应用中,可能是肾细胞癌诊断和预后的一个新的生物标志物。

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