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子宫内膜癌进展和预后相关分子标志物的鉴定：一项生物信息学研究

Identification of molecular markers associated with the progression and prognosis of endometrial cancer: a bioinformatic study.

作者信息

Liu JinHui, Feng Mingming, Li SiYue, Nie Sipei, Wang Hui, Wu Shan, Qiu Jiangnan, Zhang Jie, Cheng WenJun

机构信息

Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 Jiangsu China.

出版信息

Cancer Cell Int. 2020 Feb 19;20:59. doi: 10.1186/s12935-020-1140-3. eCollection 2020.

DOI:10.1186/s12935-020-1140-3
PMID:32099532
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7031962/
Abstract

BACKGROUND

Endometrial cancer (EC) is one kind of women cancers. Bioinformatic technology could screen out relative genes which made targeted therapy becoming conventionalized.

METHODS

GSE17025 were downloaded from GEO. The genomic data and clinical data were obtained from TCGA. R software and bioconductor packages were used to identify the DEGs. Clusterprofiler was used for functional analysis. STRING was used to assess PPI information and plug-in MCODE to screen hub modules in Cytoscape. The selected genes were coped with functional analysis. CMap could find EC-related drugs that might have potential effect. Univariate and multivariate Cox proportional hazards regression analyses were performed to predict the risk of each patient. Kaplan-Meier curve analysis could compare the survival time. ROC curve analysis was performed to predict value of the genes. Mutation and survival analysis in TCGA database and UALCAN validation were completed. Immunohistochemistry staining from Human Protein Atlas database. GSEA, ROC curve analysis, Oncomine and qRT-PCR were also performed.

RESULTS

Functional analysis showed that the upregulated DEGs were strikingly enriched in chemokine activity, and the down-regulated DEGs in glycosaminoglycan binding. PPI network suggested that NCAPG was the most relevant protein. CMap identified 10 small molecules as possible drugs to treat EC. Cox analysis showed that BCHE, MAL and ASPM were correlated with EC prognosis. TCGA dataset analysis showed significantly mutated BHCE positively related to EC prognosis. MAL and ASPM were further validated in UALCAN. All the results demonstrated that the two genes might promote EC progression. The profile of ASPM was confirmed by the results from immunohistochemistry. ROC curve demonstrated that the mRNA levels of two genes exhibited difference between normal and tumor tissues, indicating their diagnostic efficiency. qRT-PCR results supported the above results. Oncomine results showed that DNA copy number variation of MAL was significantly higher in different EC subtypes than in healthy tissues. GSEA suggested that the two genes played crucial roles in cell cycle.

CONCLUSION

BCHE, MAL and ASPM are tumor-related genes and can be used as potential biomarkers in EC treatment.

摘要

背景

子宫内膜癌（EC）是女性癌症的一种。生物信息学技术可以筛选出相关基因，使靶向治疗变得常规化。

方法

从GEO下载GSE17025。基因组数据和临床数据来自TCGA。使用R软件和生物导体包来识别差异表达基因（DEGs）。Clusterprofiler用于功能分析。STRING用于评估蛋白质-蛋白质相互作用（PPI）信息，并在Cytoscape中插入MCODE来筛选枢纽模块。对选定的基因进行功能分析。CMap可以找到可能有潜在作用的EC相关药物。进行单变量和多变量Cox比例风险回归分析以预测每个患者的风险。Kaplan-Meier曲线分析可以比较生存时间。进行ROC曲线分析以预测基因的价值。完成TCGA数据库中的突变和生存分析以及UALCAN验证。来自人类蛋白质图谱数据库的免疫组织化学染色。还进行了基因集富集分析（GSEA）、ROC曲线分析、Oncomine和定量逆转录聚合酶链反应（qRT-PCR）。

结果

功能分析表明，上调的DEGs显著富集于趋化因子活性，下调的DEGs富集于糖胺聚糖结合。PPI网络表明核仁磷酸蛋白（NCAPG）是最相关的蛋白质。CMap识别出10种小分子作为治疗EC的可能药物。Cox分析表明丁酰胆碱酯酶（BCHE）、膜联蛋白样蛋白（MAL）和异常纺锤体样微管相关蛋白（ASPM）与EC预后相关。TCGA数据集分析显示，显著突变的BCHE与EC预后呈正相关。MAL和ASPM在UALCAN中得到进一步验证。所有结果表明这两个基因可能促进EC进展。免疫组织化学结果证实了ASPM的表达谱。ROC曲线表明，两个基因的mRNA水平在正常组织和肿瘤组织之间存在差异，表明它们的诊断效率。qRT-PCR结果支持上述结果。Oncomine结果显示MAL的DNA拷贝数变异在不同EC亚型中显著高于健康组织。GSEA表明这两个基因在细胞周期中起关键作用。

结论

BCHE、MAL和ASPM是肿瘤相关基因，可作为EC治疗中的潜在生物标志物。

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2
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Biol Res. 2018 Nov 3;51(1):44. doi: 10.1186/s40659-018-0192-5.
3
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4
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6
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9
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9
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