Identification of long noncoding RNAs as potential novel diagnosis and prognosis biomarkers in colorectal cancer

Identification of long noncoding RNAs as potential novel diagnosis and prognosis biomarkers in colorectal cancer
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鉴定长非编码 RNA 作为结直肠癌潜在的新型诊断和预后生物标志物

DOI:
10.1007/s00432-016-2238-9
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发表时间:
2016-11-01
影响因子:
3.6
通讯作者:
Wang, Chuanxin
Wang, Chuanxin
中科院分区:
医学3区
文献类型:
--
作者:
Wang, Rui;Du, Lutao;Wang, Chuanxin

文献摘要

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结直肠癌(colorectal cancer,CRC)是一种世界性的癌症,其诊断的及时性和有效性亟待提高.我们的目的是确定潜在的长非编码RNA(lncRNA)的生物标志物CRC诊断沿着与预后predict.MethodslncRNA表达谱进行了研究,在配对的肿瘤和正常组织从6例CRC患者的芯片。在80对组织和两个独立的血清样品组中分析候选lncRNA的表达水平。采用受试者工作特征(ROC)曲线来评估所鉴定的lncRNA的性能。lncRNA和疾病特异性生存率的CRC patients之间的相关性进行了评估,以探索预后potential.ResultsFour lncRNA(BANCR,NR_026817,NR_029373,和NR_034119)被确定为显着失调,在组织和血清样品具有一致的模式,并建立了一个面板基于此结果。测量4-lncRNA组的性能,ROC曲线下面积(AUC)为0.881。TNM Ⅰ、Ⅱ、Ⅲ期患者的AUC分别为0.774、0.844、0.949,显著高于CEA。Kaplan-Meier分析显示,NR_029373和NR_034119水平较低的患者的疾病特异性生存率显著较低(分别为p= 0.013和0.044)。多变量考克斯分析表明,NR_029373和NR_034119都是独立相关的疾病特异性生存率(p= 0.013和0.038,分别)。
BackgroundColorectal cancer (CRC) is prevalent worldwide, and improvements in timely and effective diagnosis are imperatively needed. We aimed to identify potential long noncoding RNA (lncRNA) biomarkers for CRC diagnosis along with prognosis prediction.MethodsLncRNA expression profiles were studied by microarray in paired tumor and normal tissues from six patients with CRC. The expression levels of candidate lncRNAs were analyzed in 80 pairs of tissues and two independent cohorts of serum samples. Receiver-operating characteristic (ROC) curves were employed to evaluate the performance of the lncRNAs identified. The correlation between lncRNAs and disease-specific survival rate of CRC patients was assessed to explore prognostic potential.ResultsFour lncRNAs (BANCR, NR_026817, NR_029373, and NR_034119) were identified to be significantly dysregulated in both tissue and serum samples with consistent pattern, and a panel was established based on this result. The performance of the 4-lncRNA panel was measured with an area under the ROC curve (AUC) of 0.881. The corresponding AUCs of the panel for patients with TNM stageI, II and III were 0.774, 0.844 and 0.949, respectively, significantly higher than that of CEA. Kaplan–Meier analysis showed that patients with low levels of NR_029373 and NR_034119 had significantly lower disease-specific survival rate (p= 0.013 and 0.044, respectively). Multivariate Cox analysis demonstrated that NR_029373 and NR_034119 were both independently associated with disease-specific survival rate (p= 0.013 and 0.038, respectively).ConclusionsOur study established a distinctive 4-lncRNA panel with considerable diagnostic value and identified NR_029373 and NR_034119 as potential biomarkers for CRC prognosis prediction.