Braoudaki M, Lambrou G I, Papadodima S A, Stefanaki K, Prodromou N, Kanavakis E
University Research Institute for the Study and Treatment of Childhood Genetic and Malignant Diseases, "Aghia Sophia" Children's Hospital, University of Athens, Athens, Greece.
First Department of Pediatrics, Hematology and Oncology Unit, Choremeio Research Laboratory, "Aghia Sophia" Children's Hospital, University of Athens Medical School, Thivon and Levadias, 11527, Goudi, Athens, Greece.
Med Oncol. 2016 Jan;33(1):5. doi: 10.1007/s12032-015-0719-3. Epub 2015 Dec 23.
Among noncoding RNAs, microRNAs (miRNAs) have been most extensively studied, and their biology has repeatedly been proven critical for central nervous system pathological conditions. The diagnostic value of several miRNAs was appraised in pediatric dysembryoplastic neuroepithelial tumors (DNETs) using miRNA microarrays and receiving operating characteristic curves analyses. Overall, five pediatric DNETs were studied. As controls, 17 samples were used: the FirstChoice Human Brain Reference RNA and 16 samples from deceased children who underwent autopsy and were not present with any brain malignancy. The miRNA extraction was carried out using the mirVANA miRNA Isolation Kit, while the experimental approach included miRNA microarrays covering 1211 miRNAs. Quantitative real-time polymerase chain reaction was performed to validate the expression profiles of miR-1909* and miR-3138 in all samples initially screened with miRNA microarrays. Our findings indicated that miR-3138 might act as a tumor suppressor gene when down-regulated and miR-1909* as a putative oncogenic molecule when up-regulated in pediatric DNETs compared to the control cohort. Subsequently, both miRNA signatures might serve as putative diagnostic biomarkers for pediatric DNETs.
在非编码RNA中,微小RNA(miRNA)得到了最为广泛的研究,并且它们的生物学特性已被反复证明对中枢神经系统病理状况至关重要。使用miRNA微阵列并进行操作特征曲线分析,评估了几种miRNA在儿童胚胎发育不良性神经上皮肿瘤(DNET)中的诊断价值。总共研究了5例儿童DNET。作为对照,使用了17个样本:FirstChoice Human Brain Reference RNA以及16个来自已故儿童的样本,这些儿童经过尸检且未患有任何脑恶性肿瘤。使用mirVANA miRNA分离试剂盒进行miRNA提取,而实验方法包括覆盖1211种miRNA的miRNA微阵列。对最初用miRNA微阵列筛选的所有样本进行定量实时聚合酶链反应,以验证miR - 1909和miR - 3138的表达谱。我们的研究结果表明,与对照队列相比,在儿童DNET中,miR - 3138下调时可能充当肿瘤抑制基因,而miR - 1909上调时可能作为推定的致癌分子。随后,这两种miRNA特征都可能作为儿童DNET的推定诊断生物标志物。