Micro and Nanotechnology in Medicine, Department of Electrical Engineering and Computer Science, College of Engineering and Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Int J Mol Sci. 2023 Mar 7;24(6):5081. doi: 10.3390/ijms24065081.
Pancreatic ductal adenocarcinoma (PDAC) is rapidly becoming one of the leading causes of cancer-related deaths in the United States, and with its high mortality rate, there is a pressing need to develop sensitive and robust methods for detection. Exosomal biomarker panels provide a promising avenue for PDAC screening since exosomes are highly stable and easily harvested from body fluids. PDAC-associated miRNAs packaged within these exosomes could be used as diagnostic markers. We analyzed a series of 18 candidate miRNAs via RT-qPCR to identify the differentially expressed miRNAs ( < 0.05, -test) between plasma exosomes harvested from PDAC patients and control patients. From this analysis, we propose a four-marker panel consisting of miR-93-5p, miR-339-3p, miR-425-5p, and miR-425-3p with an area under the curve (AUC) of the receiver operator characteristic curve (ROC) of 0.885 with a sensitivity of 80% and a specificity of 94.7%, which is comparable to the CA19-9 standard PDAC marker diagnostic.
胰腺导管腺癌 (PDAC) 在美国迅速成为癌症相关死亡的主要原因之一,由于其死亡率高,因此迫切需要开发灵敏和强大的检测方法。外泌体生物标志物谱为 PDAC 筛查提供了一个有前途的途径,因为外泌体非常稳定,并且可以从体液中轻松采集。这些外泌体中包装的与 PDAC 相关的 miRNAs 可以用作诊断标志物。我们通过 RT-qPCR 分析了一系列 18 种候选 miRNA,以鉴定从 PDAC 患者和对照患者中采集的血浆外泌体中差异表达的 miRNAs ( < 0.05,-检验)。通过这项分析,我们提出了一个由 miR-93-5p、miR-339-3p、miR-425-5p 和 miR-425-3p 组成的四个标志物面板,ROC 曲线下面积 (AUC) 为 0.885,灵敏度为 80%,特异性为 94.7%,与 CA19-9 标准 PDAC 标志物诊断相当。