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WIPI1 BAG1 and PEX3 Autophagy-Related Genes Are Relevant Melanoma Markers

机译:WIPI1BAG1和PEX3自噬相关基因是相关的黑色素瘤标志物

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摘要

ROS and oxidative stress may promote autophagy; on the other hand, autophagy may help reduce oxidative damages. According to the known interplay of ROS, autophagy, and melanoma onset, we hypothesized that autophagy-related genes (ARGs) may represent useful melanoma biomarkers. We therefore analyzed the gene and protein expression of 222 ARGs in human melanoma samples, from 5 independent expression databases (overall 572 patients). Gene expression was first evaluated in the GEO database. Forty-two genes showed extremely high ability to discriminate melanoma from nevi (63 samples) according to ROC (AUC ≥ 0.85) and Mann-Whitney (p < 0.0001) analyses. The 9 genes never related to melanoma before were then in silico validated in the IST online database. BAG1, CHMP2B, PEX3, and WIPI1 confirmed a strong differential gene expression, in 355 samples. A second-round validation performed on the Human Protein Atlas database showed strong differential protein expression for BAG1, PEX3, and WIPI1 in melanoma vs control samples, according to the image analysis of 80 human histological sections. WIPI1 gene expression also showed a significant prognostic value (p < 0.0001) according to 102 melanoma patients' survival data. We finally addressed in Oncomine database whether WIPI1 overexpression is melanoma-specific. Within more than 20 cancer types, the most relevant WIPI1 expression change (p = 0.00002; fold change = 3.1) was observed in melanoma. Molecular/functional relationships of the investigated molecules with melanoma and their molecular/functional network were analyzed via Chilibot software, STRING analysis, and gene ontology enrichment analysis. We conclude that WIPI1 (AUC = 0.99), BAG1 (AUC = 1), and PEX3 (AUC = 0.93) are relevant novel melanoma markers at both gene and protein levels.
机译:ROS和氧化应激可能促进自噬;另一方面,自噬可以帮助减少氧化损伤。根据ROS,自噬和黑色素瘤发作的已知相互作用,我们假设自噬相关基因(ARG)可能代表有用的黑色素瘤生物标志物。因此,我们分析了来自5个独立表达数据库(总共572例患者)的人黑素瘤样品中222种ARG的基因和蛋白表达。基因表达首先在GEO数据库中评估。根据ROC(AUC≥0.85)和Mann-Whitney(p <0.0001)分析,有42个基因显示出极高的区分黑色素瘤和痣的能力(63个样品)。然后在IST在线数据库中通过计算机验证了以前从未与黑素瘤相关的9个基因。在355个样本中,BAG1,CHMP2B,PEX3和WIPI1证实了很强的差异基因表达。根据对80个人类组织切片的图像分析,在人蛋白质图集数据库上进行的第二轮验证显示,黑色素瘤与对照样品中BAG1,PEX3和WIPI1的蛋白质表达差异很大。根据102位黑素瘤患者的生存数据,WIPI1基因表达也显示出显着的预后价值(p <0.0001)。我们最终在Oncomine数据库中解决了WIPI1过表达是否是特定于黑色素瘤的问题。在超过20种癌症类型中,黑色素瘤中观察到最相关的WIPI1表达变化(p = 0.00002;倍数变化= 3.1)。通过Chilibot软件,STRING分析和基因本体富集分析,分析了所研究分子与黑素瘤及其分子/功能网络的分子/功能关系。我们得出结论,WIPI1(AUC = 0.99),BAG1(AUC = 1)和PEX3(AUC = 0.93)在基因和蛋白质水平上都是相关的新型黑色素瘤标志物。

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