首页> 外文期刊>Neuroendocrinology: International Journal for Basic and Clinical Studies on Neuroendocrine Relationships >Pulmonary Carcinoids and Low-Grade Gastrointestinal Neuroendocrine Tumors Show Common MicroRNA Expression Profiles, Different from Adenocarcinomas and Small Cell Carcinomas
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Pulmonary Carcinoids and Low-Grade Gastrointestinal Neuroendocrine Tumors Show Common MicroRNA Expression Profiles, Different from Adenocarcinomas and Small Cell Carcinomas

机译:肺癌和低级胃肠神经内分泌肿瘤显示常见的microRNA表达谱,不同于腺癌和小细胞癌

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Background: It is still uncertain whether small cell lung carcinomas (SCLCs), pulmonary carcinoids, and the gastrointestinal neuroendocrine tumors (GI-NETs) have a common origin. MicroRNA (miRNA) expression may clarify their genetic relationships and origin. Methods: First, we compared the miRNA expression signature of formalin-fixed paraffin-embedded (FFPE) samples with frozen samples to verify the applicability of microarray analysis. Second, we compared the comprehensive miRNA expression patterns of pulmonary carcinoids and GI-NETs as well as other types of tumors and normal tissues from each organ using FFPE samples. These data were analyzed by hierarchical clustering and consensus clustering with nonnegative matrix factorization. Results: We confirmed that FFPE samples retained the miRNA signatures. In the first hierarchical clustering comparing carcinoids/NETs with adenocarcinomas and normal tissues, most of the carcinoids (48/50) formed 1 major cluster with loose subpartitioning into each organ type, while all the adenocarcinomas (9/9) and normal tissues (15/15) formed another major cluster. The nonnegative matrix factorization approach largely matched the classification of the hierarchical clustering. In the additional cluster analysis comparing carcinoids/NETs with SCLCs, most carcinoids/NETs (17/22) formed a major cluster, while SCLCs (9/9) grouped together with pulmonary adenocarcinomas (3/3) and normal tissues (6/6) in another major cluster. Furthermore, a subset of miRNAs was successfully identified that exhibited significant expression in carcinoids/NETs. Conclusion: Carcinoids/NETs had a characteristic pattern of miRNA expression, suggesting a common origin for pulmonary carcinoids and GI-NETs. The expression profiles of pulmonary carcinoids and SCLCs were quite different, indicating the distinct histogenesis of these neuroendocrine neoplasms. (C) 2017 S. Karger AG, Basel
机译:背景:仍然不确定小细胞肺癌(SCLC),肺癌和胃肠神经内分泌肿瘤(GI型网)是否具有共同的起源。 microRNA(miRNA)表达可以阐明它们的遗传关系和起源。方法:首先,将福尔马林固定的石蜡包埋(FFPE)样品的MiRNA表达特征与冷冻样品进行比较,以验证微阵列分析的适用性。其次,我们将肺癌骨质和Gi-网的综合miRNA表达模式与来自每个器官的其他类型的肿瘤和正常组织使用FFPE样品进行了比较。通过分层聚类和具有非负矩阵分解的共识聚类分析这些数据。结果:我们确认FFPE样品保留了miRNA签名。在第一分层聚类中,将类癌/网与腺癌和正常组织进行比较,大多数类癌(48/50)形成1个主要簇,其伴有松散的亚容,进入每个器官类型,而所有腺癌(9/9)和正常组织(15 / 15)形成另一个主要簇。非负矩阵分子化方法在很大程度上与分层聚类的分类相匹配。在额外的聚类分析中,将类癌/网与SCLC进行比较,大多数类癌/网(17/22)形成了一个主要簇,而SCLC(9/9)与肺腺癌(3/3)和正常组织一起组合在一起(6/6 )在另一个主要的集群中。此外,成功鉴定了MIRNA的副本,其表现出致癌物/网中的显着表达。结论:致癌物/网具有miRNA表达的特征模式,表明肺癌和Gi-ent的常见起源。肺癌癌和SCLC的表达谱不同,表明这些神经内分泌肿瘤的不同组织。 (c)2017年S. Karger AG,巴塞尔

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