Department of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via S. Sofia 87, 95123 Catania, Italy.
Medical Oncology, Azienda Ospedaliero Universitaria Policlinico "G. Rodolico-S. Marco", 95123 Catania, Italy.
Viruses. 2022 Oct 5;14(10):2195. doi: 10.3390/v14102195.
Merkel cell polyomavirus (MCPyV) prevalence in Merkel cell carcinoma (MCC) cases is controversial. The detection and quantification of MCPyV DNA is mainly performed by PCR techniques using formalin-fixed, paraffin-embedded (FFPE) tissues. The aim of this study is to compare the performance of two different molecular techniques, specifically the quantitative Real-Time PCR (qPCR) and digital PCR (dPCR). Samples from 31 cases of MCC excisional surgical biopsies were analyzed. DNA extraction and purification from clinical samples were performed using the QIAcube Qiagen automated nucleic acid extractor. After the extraction, MCPyV was detected by qPCR and dPCR using specially designed primers and probes. Of the 31 MCC samples under study, the MCPyV genome was detected in 11 samples (35%) by qPCR compared with 20 samples (65%) detected by dPCR. Notably, 65% of primary tumors were positive for MCPyV (15/23). The viral genome was detected in 75% of tumors located at UV-exposed sites (6/8), 55% of tumors at partially UV-protected sites (5/9), and 67% of tumors at UV-protected sites (4/6). Our results showed a better sensitivity of dPCR in detecting the MCPyV genome in MCC samples compared with traditional qPCR techniques.
默克尔细胞多瘤病毒(MCPyV)在默克尔细胞癌(MCC)病例中的流行情况存在争议。MCPyV DNA 的检测和定量主要通过使用福尔马林固定、石蜡包埋(FFPE)组织的 PCR 技术来完成。本研究的目的是比较两种不同分子技术的性能,特别是定量实时 PCR(qPCR)和数字 PCR(dPCR)。分析了 31 例 MCC 切除性手术活检的样本。使用 QIAcube Qiagen 自动化核酸提取仪从临床样本中提取和纯化 DNA。提取后,使用专门设计的引物和探针通过 qPCR 和 dPCR 检测 MCPyV。在所研究的 31 个 MCC 样本中,qPCR 检测到 11 个样本(35%)存在 MCPyV 基因组,而 dPCR 检测到 20 个样本(65%)存在 MCPyV 基因组。值得注意的是,65%的原发性肿瘤呈 MCPyV 阳性(15/23)。病毒基因组在位于 UV 暴露部位的肿瘤中检测到 75%(6/8),位于部分 UV 保护部位的肿瘤中检测到 55%(5/9),位于 UV 保护部位的肿瘤中检测到 67%(4/6)。我们的结果表明,与传统 qPCR 技术相比,dPCR 在检测 MCC 样本中的 MCPyV 基因组方面具有更好的敏感性。