循环miRNA 20a、miRNA 140-5p和VEGF作为乳腺癌患者液体活检转移的预测性生物标志物

sherehan Galal, Hany Abdelaziz, A. Kamal
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引用次数: 1

摘要

MicroRNAs (miRNAs)是乳腺癌发生过程中的重要调节因子。转移仍然是乳腺癌相关死亡的潜在原因。我们试图阐明循环miR-20a和miR-1405p作为非侵入性液体活检生物标志物的预测潜力。本研究招募了50名乳腺癌患者(25名原发非转移性患者和25名转移性患者)和15名对照受试者。采用qRT-PCR检测miR-20a和miR-140-5p的表达。ELISA法检测血清血管内皮生长因子(VEGF)水平。采用受试者工作特征(ROC)曲线分析检验指标的预测价值。在所有乳腺癌患者中,与对照组相比,MiR-20a显著上调,miR-140-5p下调,同时血清VEGF水平升高,转移组与非转移组相比(均p<0.001)。MiR-20a、miR-140-5p和VEGF对转移具有显著的预测价值(AUC均为1),具有较高的特异性和敏感性。MiR-20a、miR-140-5p表达与淋巴结转移阳性相关(p<0.05),与VEGF水平相关(p<0.0001)。总之,我们的研究结果表明,循环miR-20a和miR-140-5p是区分转移性乳腺癌和局部局限性乳腺癌的有希望的非侵入性预测生物标志物。它们也有望成为基于mirna的治疗靶点。
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Circulating miRNA 20a, miRNA 140-5p and VEGF as Predictive Biomarkers of Metastasis in Liquid Biopsy of Breast Cancer Patients
MicroRNAs (miRNAs) are critical modulators in breast carcinogenesis. Metastasis remains the underlying cause of breast cancer-related mortality. We sought to elucidate the predictive potential of circulating miR-20a and miR-1405p as non-invasive liquid biopsy biomarkers. This study enrolled 50 breast cancer patients (25 primary nonmetastatic and 25 metastatic patients), and 15 control subjects. The expression of miR-20a and miR-140-5p was measured using qRT-PCR. Serum level of vascular endothelial growth factor (VEGF) was determined by ELISA. The predictive value of the studied markers was examined by Receiver-operating characteristics (ROC) curve analysis. MiR-20a was significantly upregulated, miR-140-5p downregulated, together with elevated serum VEGF levels in all breast cancer patients in comparison to controls and the metastatic compared to non-metastatic group (p<0.001 for each). MiR-20a, miR-140-5p, and VEGF exhibited significant predictive value for metastasis (AUC of 1 in all), with high specificity and sensitivity. MiR-20a and miR-140-5p expression were associated with positive lymph node metastasis (p<0.05) and correlated with VEGF levels (p<0.0001). In conclusion, our findings suggest that circulating miR-20a and miR-140-5p are promising non-invasive predictive biomarkers to discriminate between metastatic and locally-confined breast cancer. They may also hold a promise as targets for miRNA-based treatments.
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