Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA.
Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Biosensors (Basel). 2022 Oct 6;12(10):831. doi: 10.3390/bios12100831.
Pancreatic ductal adenocarcinoma (PDAC) remains a difficult tumor to diagnose and treat. To date, PDAC lacks routine screening with no markers available for early detection. Exosomes are 40-150 nm-sized extracellular vesicles that contain DNA, RNA, and proteins. These exosomes are released by all cell types into circulation and thus can be harvested from patient body fluids, thereby facilitating a non-invasive method for PDAC detection. A bioinformatics analysis was conducted utilizing publicly available miRNA pancreatic cancer expression and genome databases. Through this analysis, we identified 18 miRNA with strong potential for PDAC detection. From this analysis, 10 (MIR31, MIR93, MIR133A1, MIR210, MIR330, MIR339, MIR425, MIR429, MIR1208, and MIR3620) were chosen due to high copy number variation as well as their potential to differentiate patients with chronic pancreatitis, neoplasms, and PDAC. These 10 were examined for their mature miRNA expression patterns, giving rise to 18 mature miRs for further analysis. Exosomal RNA from cell culture media was analyzed via RTqPCR and seven mature miRs exhibited statistical significance (miR-31-5p, miR-31-3p, miR-210-3p, miR-339-5p, miR-425-5p, miR-425-3p, and miR-429). These identified biomarkers can potentially be used for early detection of PDAC.
胰腺导管腺癌（PDAC）仍然是一种难以诊断和治疗的肿瘤。迄今为止，PDAC 缺乏常规筛查，也没有用于早期检测的标志物。外泌体是 40-150nm 大小的细胞外囊泡，其中包含 DNA、RNA 和蛋白质。这些外泌体由所有细胞类型释放到循环中，因此可以从患者的体液中采集，从而为 PDAC 的检测提供一种非侵入性的方法。利用公开的 miRNA 胰腺癌细胞表达和基因组数据库进行了生物信息学分析。通过这项分析，我们确定了 18 种具有很强 PDAC 检测潜力的 miRNA。在此分析中，选择了 10 个 miRNA（MIR31、MIR93、MIR133A1、MIR210、MIR330、MIR339、MIR425、MIR429、MIR1208 和 MIR3620），因为它们的拷贝数变异较高，并且有可能区分慢性胰腺炎、肿瘤和 PDAC 患者。对这 10 个 miRNA 的成熟 miRNA 表达模式进行了检测，得到了 18 个成熟 miRNA 进行进一步分析。通过 RTqPCR 分析细胞培养介质中的外泌体 RNA，有 7 个成熟 miRNA 表现出统计学意义（miR-31-5p、miR-31-3p、miR-210-3p、miR-339-5p、miR-425-5p、miR-425-3p 和 miR-429）。这些鉴定出的生物标志物可能可用于 PDAC 的早期检测。
