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A three-long noncoding RNA signature as a diagnostic biomarker for differentiating between triple-negative and non-triple-negative breast cancers

机译:三长非编码RNA标记物作为区分三阴性和非三阴性乳腺癌的诊断生物标志物

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Background: Triple-negative breast cancer (TNBC) is an aggressive cancer with unfavorable outcome and it is useful to explore noninvasive biomarkers for its early diagnosis. Here, we identified differentially expressed long noncoding RNAs (lncRNAs) in blood samples of patients with TNBC to assess their diagnostic value. Methods: Differential expression of lncRNAs in plasma of patients with TNBC (n = 25) and non-TNBC (NTNBC; n = 35) and in healthy controls was compared by microarray analysis and validated by real-time PCR. lncRNA expression between plasma and BC tissues was compared using Pearson correlation test. Logit model was used to obtain a new lncRNA-based score. Receiver operating characteristic analysis was performed to assess the diagnostic value of the selected lncRNAs. Results: Microarray data showed that 41 lncRNAs were aberrantly expressed. Among these, antisense noncoding RNA in the INK4 locus ( ANRIL ), hypoxia inducible factor 1alpha antisense RNA-2 ( HIF1A-AS2 ), and urothelial carcinoma-associated 1 ( UCA1 ) were markedly upregulated in plasma of patients with TNBC compared with patients with NTNBC ( P < 0.01). HIF1A-AS2 expression was positively associated with its tissue levels ( r = 0.670, P < 0.01). AUC (95% CI) of ANRIL , HIF1A-AS2 , and UCA1 was 0.785 (0.660–0.881), 0.739 (0.610–0.844), and 0.817 (0.696–0.905), respectively. TNBCSigLnc-3, a new score obtained using the logit model, showed excellent diagnostic performance, with AUC of 0.934 (0.839–0.982), sensitivity of 76.0%, and specificity of 97.1%. Conclusion: ANRIL , HIF1A-AS2 , and UCA1 expression was significantly increased in plasma of patients with TNBC, suggesting their use as TNBC-specific diagnostic biomarkers.
机译:背景:三阴性乳腺癌(TNBC)是一种侵袭性癌症,预后不良,对于早期诊断无创生物标志物很有用。在这里,我们确定了TNBC患者血液样本中差异表达的长非编码RNA(lncRNA),以评估其诊断价值。方法:通过微阵列分析比较TNBC(n = 25)和非TNBC(NTNBC; n = 35)患者血浆中lncRNA的差异表达,并通过实时PCR进行验证。使用Pearson相关检验比较血浆和BC组织之间的lncRNA表达。 Logit模型用于获得新的基于lncRNA的评分。进行接收者操作特征分析以评估所选lncRNA的诊断价值。结果:微阵列数据显示41个lncRNA异常表达。其中,与TNBC患者相比,INBC4基因座(ANRIL)中的反义非编码RNA,缺氧诱导因子1α反义RNA-2(HIF1A-AS2)和与尿路上皮癌相关的1(UCA1)明显上调。 NTNBC(P <0.01)。 HIF1A-AS2表达与其组织水平呈正相关(r = 0.670,P <0.01)。 ANRIL,HIF1A-AS2和UCA1的AUC(95%CI)分别为0.785(0.660-0.881),0.739(0.610-0.844)和0.817(0.696-0.905)。使用logit模型获得的新分数TNBCSigLnc-3具有出色的诊断性能,AUC为0.934(0.839-0.982),敏感性为76.0%,特异性为97.1%。结论:TNBC患者血浆中的ANRIL,HIF1A-AS2和UCA1表达显着增加,表明它们可作为TNBC特异性诊断生物标记物。

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