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Lipocalin-1 Expression as a Prognosticator Marker of Survival in Breast Cancer Patients

机译:Lipocalin-1表达作为乳腺癌患者存活的预稳定剂标志物

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Purpose:LCN1 (lipocalin-1), a gene that encodes tear lipocalin (or von Ebner's gland protein), is mainly expressed in secretory glands and tissues, such as the lachrymal and lingual gland, and nasal, mammary, and tracheobronchial mucosae. Analysis of the Cancer Genome Atlas (TCGA) Breast Carcinoma (BRCA) level 3 data revealed a relationship between LCN1 expression and survival in breast cancer patients.Methods:The chi(2) test and Fisher exact test were applied to analyze the clinical data and RNA sequencing expression data, and the association between LCN1 expression and clinicopathologic features was determined. The receiver-operating characteristic (ROC) curve of LCN1 was drawn to assess its ability as a diagnostic marker, and the optimal cutoff value was obtained from the ROC curve to distinguish groups with high and low LCN1 expression. Cox regression was used to compare both groups, and a log-rank test was applied to calculatepvalues and compare the -Kaplan-Meier curves. Furthermore, GEO datasets were employed for external data validation.Results:Analysis of 1,104 breast cancer patients with a primary tumor revealed that LCN1 was overexpressed in breast cancer. High LCN1 expression was associated with clinicopathologic features and poor survival. Analyzing the area under the ROC curve (AUC) of LCN1, it was found that its diagnostic ability was limited. Multivariate analysis indicated that LCN1 expression is an independent predictor of survival in breast cancer patients. Through validation in GEO datasets, LCN1 expression was higher in tumor than normal tissue of the breast. High LCN1 expression was associated with poor survival in breast cancer patients.Conclusions:High LCN1 expression is an independent prognosticator of a poor prognosis in breast cancer.
机译:目的:LCN1(Lipocalin-1),一种编码泪腺(或von Ebners腺蛋白)的基因,主要在分泌腺和组织中表达,例如龙克里尔和舌腺,鼻腔,乳腺和气管中粘膜。癌症基因组乳腺癌(TCGA)乳腺癌(BRCA)3级数据显示LCN1表达与乳腺癌患者的生存之间的关系。方法:CHI(2)试验和FISHER精确测试分析临床数据和确定RNA测序表达数据,并确定LCN1表达与临床病理学特征之间的关联。 LCN1的接收器操作特征(ROC)曲线被抽出以评估其作为诊断标记的能力,并且从ROC曲线获得最佳截止值以区分具有高和低LCN1表达的基团。 COX回归用于比较这两个组,并将对数级测试应用于计算values并比较-kaplan-meier曲线。此外,使用Geo数据集用于外部数据验证。结果:1,104乳腺癌患者的原发性肿瘤显示,LCN1在乳腺癌中过表达。高LCN1表达与临床病理特征和存活率不良有关。发现LCN1的ROC曲线(AUC)下的区域,发现其诊断能力有限。多变量分析表明,LCN1表达是乳腺癌患者中存活的独立预测因子。通过在Geo Datasets中的验证,肿瘤的LCN1表达比乳房的正常组织更高。高LCN1表达与乳腺癌患者的存活率不良有关。结论:高LCN1表达是乳腺癌预后不良的独立预后。

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