Serum Long Non-Coding RNAs PVT1, HOTAIR, and NEAT1 as Potential Biomarkers in Egyptian Women with Breast Cancer.
Serum Long Non-Coding RNAs PVT1, HOTAIR, and NEAT1 as Potential Biomarkers in Egyptian Women with Breast Cancer.
复制标题
血清长链非编码rna PVT1、HOTAIR和NEAT1作为埃及女性乳腺癌的潜在生物标志物
DOI：
10.3390/biom11020301
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发表时间：
2021-02-18
期刊：
影响因子：
5.5
通讯作者：
Shahin NN
中科院分区：
文献类型：
--
作者：
El-Fattah AAA;Sadik NAH;Shaker OG;Mohamed Kamal A;Shahin NN
长链非编码RNA在多种癌症的肿瘤生长、血管生成和转移中发挥着重要作用。然而，使用lncRNA作为乳腺癌诊断和预后生物标志物的临床意义仍缺乏研究。在这项研究中，我们分析了乳腺癌患者与纤维腺瘤患者和健康受试者中 lncRNA PVT1、HOTAIR、NEAT1 和 MALAT1 及其相关蛋白 PAI-1 和 OPN 的血清表达水平。使用定量实时 PCR (qRT-PCR)，我们比较了乳腺癌患者 (n = 50)、纤维腺瘤 (n = 25) 和健康对照 (n = 25) 患者中四种循环 lncRNA 的血清表达水平。采用ELISA法测定血清PAI-1和OPN水平。使用接受操作特征（ROC）分析和多变量逻辑回归来评估所选参数的诊断价值。与对照组和纤维腺瘤患者相比，乳腺癌患者的血清 HOTAIR、PAI-1 和 OPN 水平显着升高。乳腺癌患者的血清PVT1水平显着高于对照组，而乳腺癌患者的NEAT1血清水平显着低于对照组和纤维腺瘤患者。 ROC 和多变量逻辑回归分析均显示，PAI-1 在区分乳腺癌与对照组方面具有最大能力，而 HOTAIR、PAI-1 和 OPN 在区分乳腺癌与纤维腺瘤患者方面具有最大能力。总之，我们的数据表明 PVT1、HOTAIR、NEAT1、PAI-1 和 OPN 的血清水平可以作为乳腺癌有前景的诊断生物标志物。
Long non-coding RNAs play an important role in tumor growth, angiogenesis, and metastasis in several types of cancer. However, the clinical significance of using lncRNAs as biomarkers for breast cancer diagnosis and prognosis is still poorly investigated. In this study, we analyzed the serum expression levels of lncRNAs PVT1, HOTAIR, NEAT1, and MALAT1, and their associated proteins, PAI-1, and OPN, in breast cancer patients compared to fibroadenoma patients and healthy subjects. Using quantitative real-time PCR (qRT-PCR), we compared the serum expression levels of the four circulating lncRNAs in patients with breast cancer (n = 50), fibroadenoma (n = 25), and healthy controls (n = 25). The serum levels of PAI-1 and OPN were measured using ELISA. Receiveroperating-characteristic (ROC) analysis and multivariate logistic regression were used to evaluate the diagnostic value of the selected parameters. The serum levels of HOTAIR, PAI-1, and OPN were significantly higher in breast cancer patients compared to controls and fibroadenoma patients. The serum level of PVT1 was significantly higher in breast cancer patients than in the controls, while that of NEAT1 was significantly lower in breast cancer patients compared to controls and fibroadenoma patients. Both ROC and multivariate logistic regression analyses revealed that PAI-1 has the greatest power in discriminating breast cancer from the control, whereas HOTAIR, PAI-1, and OPN have the greatest power in discriminating breast cancer from fibroadenoma patients. In conclusion, our data suggest that the serum levels of PVT1, HOTAIR, NEAT1, PAI-1, and OPN could serve as promising diagnostic biomarkers for breast cancer.