Werner Shannon L, Graf Ryon P, Landers Mark, Valenta David T, Schroeder Matthew, Greene Stephanie B, Bales Natalee, Dittamore Ryan, Marrinucci Dena
Epic Sciences, Inc., San Diego, CA, USA.
J Circ Biomark. 2015 May 5;4:3. doi: 10.5772/60725. eCollection 2015 Jan-Dec.
The Epic Platform was developed for the unbiased detection and molecular characterization of circulating tumour cells (CTCs). Here, we report assay performance data, including accuracy, linearity, specificity and intra/inter-assay precision of CTC enumeration in healthy donor (HD) blood samples spiked with varying concentrations of cancer cell line controls (CLCs). Additionally, we demonstrate clinical feasibility for CTC detection in a small cohort of metastatic castrate-resistant prostate cancer (mCRPC) patients. The Epic Platform demonstrated accuracy, linearity and sensitivity for the enumeration of all CLC concentrations tested. Furthermore, we established the precision between multiple operators and slide staining batches and assay specificity showing zero CTCs detected in 18 healthy donor samples. In a clinical feasibility study, at least one traditional CTC/mL (CK+, CD45-, and intact nuclei) was detected in 89 % of 44 mCRPC samples, whereas 100 % of samples had CTCs enumerated if additional CTC subpopulations (CK-/CD45- and CK+ apoptotic CTCs) were included in the analysis. In addition to presenting Epic Platform's performance with respect to CTC enumeration, we provide examples of its integrated downstream capabilities, including protein biomarker expression and downstream genomic analyses at single cell resolution.
Epic平台是为循环肿瘤细胞(CTC)的无偏检测和分子表征而开发的。在此,我们报告了检测性能数据,包括在添加了不同浓度癌细胞系对照(CLC)的健康供体(HD)血样中进行CTC计数的准确性、线性、特异性以及批内/批间精密度。此外,我们还展示了在一小群转移性去势抵抗性前列腺癌(mCRPC)患者中进行CTC检测的临床可行性。Epic平台对所有测试的CLC浓度的计数都显示出准确性、线性和敏感性。此外,我们确定了多个操作人员和玻片染色批次之间的精密度,并显示在18份健康供体样本中检测到的CTC为零,证明了检测的特异性。在一项临床可行性研究中,44份mCRPC样本中有89%检测到至少一个传统的CTC/mL(细胞角蛋白阳性、CD45阴性且细胞核完整),而如果分析中包括额外的CTC亚群(细胞角蛋白阴性/CD45阴性和细胞角蛋白阳性凋亡CTC),则100%的样本都能计数到CTC。除了展示Epic平台在CTC计数方面的性能外,我们还提供了其综合下游功能的示例,包括单细胞分辨率下的蛋白质生物标志物表达和下游基因组分析。