卵巢癌中 FBXL6 表达的临床和预后意义。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Dianxin Tao , Shenghan Lou , Wei Huang , Kaidi Sun , Jian Li , Zhiqiang Wang , Yanan Pi , Yue Zhao , Jinglin Wen , Qin Xie , Fanling Meng , Ge Lou
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引用次数: 0

摘要

目的:越来越多的证据表明,F-盒和富含亮氨酸重复蛋白6(FBXL6)与胃癌、肝癌和结直肠癌等多种癌症的进展有关。本研究的重点是 FBXL6 在 OC 中的预后意义:方法:利用 TCGA 和 GSE26712 数据库评估了 FBXL6 在多种癌症中的差异水平。我们利用 GSE63885 数据集筛选了与 FBXL6 相关的差异表达基因,并进行了基因本体和京都基因组百科全书的通路分析。使用 "limma "软件包、STRING 数据库和 Cytoscape 软件筛选与 FBXL6 相关的基因,并通过基因表达谱交互分析验证其关联性。利用 UbiBrowser2.0 数据库预测了 FBXL6 的潜在底物。采用免疫组化方法评估了84个OC样本中的FBXL6蛋白水平。使用 Kaplan-Meier 和 Cox 回归分析探讨了 FBXL6 的预后意义。根据 Cox 回归结果,我们构建了一个基于 FBXL6 的提名图,可以预测总生存率(OS)。此外,我们还利用决策曲线分析(DCA)、校准图和接收器操作特征曲线(ROC)检验了提名图的净效益和鉴别能力:结果:FBXL6在OC组织中升高,FBXL6的过表达与OC患者的不良预后有关。ROC曲线和DCA曲线显示,基于FBXL6的提名图模型的预后价值优于单纯的FBXL6、年龄和FIGO分期:结论:FBXL6表达升高是OC的一个独立因素,研究人员开发了一种易于应用的提名图来预测OC患者的OS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical and prognostic significance of FBXL6 expression in ovarian cancer

Objective

Growing evidence indicates that F-box and leucine-rich repeat protein 6 (FBXL6) is associated with the progression of various cancers, including gastric cancer, hepatocellular carcinoma, and colorectal cancer. This study focuses on the prognostic significance of FBXL6 in OC.

Methods

Differential levels of FBXL6 in multiple cancers were evaluated using the TCGA and GSE26712 databases. We screened FBXL6-related differentially expressed genes using the GSE63885 dataset and conducted Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways analysis. The genes that associate with FBXL6 were screened using the “limma” package, the STRING database, and Cytoscape software, and the association was validated through Gene Expression Profiling Interactive Analysis. The potential substrates of FBXL6 were predicted using UbiBrowser2.0 database. FBXL6 protein levels in 84 OC samples were evaluated using immunohistochemistry. The prognostic significance of FBXL6 was explored using Kaplan–Meier and Cox regression analyses. Based on the Cox regression results, an FBXL6-based nomogram that can predict the overall survival (OS) rate were constructed. Moreover, we examined the net benefits and discriminative ability of the nomogram using the decision curve analysis (DCA), calibration plots, and receiver operating characteristic (ROC) curve.

Results

FBXL6 was elevated in OC tissues, and the overexpression of FBXL6 was linked to poor prognosis in OC patients. The ROC and DCA curves indicated that the prognostic value of the FBXL6-based nomogram model was superior to that of FBXL6, age, and FIGO stage alone.

Conclusions

Elevated FBXL6 expression was an independent factor for OC, and an easily applied nomogram was developed to predict OS in OC patients.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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