Benjamin Hila, Schnitzer-Perlman Temima, Shtabsky Alexander, VandenBussche Christopher J, Ali Syed Z, Kolar Zdenek, Pagni Fabio, Bar Dganit, Meiri Eti
Rosetta Genomics, Inc, Philadelphia, Pennsylvania.
Rosetta Genomics Ltd, Rehovot, Israel.
Cancer Cytopathol. 2016 Oct;124(10):711-721. doi: 10.1002/cncy.21731. Epub 2016 May 25.
The majority of thyroid nodules are diagnosed using fine-needle aspiration (FNA) biopsies. The authors recently described the clinical validation of a molecular microRNA-based assay, RosettaGX Reveal, which can diagnose thyroid nodules as benign or suspicious using a single stained FNA smear. This paper describes the analytical validation of the assay.
More than 800 FNA slides were tested, including slides stained with Romanowsky-type and Papanicolaou stains. The assay was examined for the following features: intranodule concordance, effect of stain type, minimal acceptable RNA amounts, performance on low numbers of thyroid cells, effect of time since sampling, and analytical sensitivity, specificity, and reproducibility.
The assay can be run on FNA slides for which as little as 1% of the cells are thyroid epithelial cells or from which only 5 ng of RNA have been extracted. Samples composed entirely of blood failed quality control and were not classified. Stain type did not affect performance. All slides were stored at room temperature. However, the length of time between FNA sampling and processing did not affect assay performance. There was a high level of concordance between laboratories (96%), and the concordance for slides created from the same FNA pass was 93%.
The microRNA-based assay was robust to various physical processing conditions and to differing sample characteristics. Given the assay's performance, robustness, and use of routinely prepared FNA slides, it has the potential to provide valuable aid for physicians in the diagnosis of thyroid nodules. Cancer Cytopathol 2016;124:711-21. © 2016 Rosetta Genomics. Cancer Cytopathology published by Wiley Periodicals, Inc. on behalf of American Cancer Society.
大多数甲状腺结节通过细针穿刺(FNA)活检进行诊断。作者最近描述了一种基于微小RNA的分子检测方法RosettaGX Reveal的临床验证情况,该方法可通过单一染色的FNA涂片将甲状腺结节诊断为良性或可疑。本文描述了该检测方法的分析验证情况。
对800多张FNA涂片进行了检测,包括用罗曼诺夫斯基型染色和巴氏染色的涂片。对该检测方法的以下特征进行了检查:结节内一致性、染色类型的影响、最低可接受的RNA量、对少量甲状腺细胞的检测性能、采样后时间的影响以及分析敏感性、特异性和可重复性。
该检测方法可在FNA涂片上进行,其中甲状腺上皮细胞低至1%的涂片或仅提取出5 ng RNA的涂片均可。完全由血液组成的样本质量控制不合格,未进行分类。染色类型不影响检测性能。所有涂片均保存在室温下。然而,FNA采样与处理之间的时间长度并不影响检测性能。实验室之间的一致性水平很高(96%),同一FNA穿刺所制成涂片的一致性为93%。
基于微小RNA的检测方法对各种物理处理条件和不同的样本特征具有较强的耐受性。鉴于该检测方法的性能、耐受性以及对常规制备的FNA涂片的使用,它有可能为医生诊断甲状腺结节提供有价值的帮助。《癌症细胞病理学》2016年;124:711 - 721。© 2016罗塞塔基因组学公司。《癌症细胞病理学》由威利期刊公司代表美国癌症协会出版。