Wu Yixing, Zeng Hongmei, Yu Qing, Huang Huatian, Fervers Beatrice, Chen Zhe-Sheng, Lu Lingeng
Department of Endocrinology, Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China.
National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Cancers (Basel). 2021 May 24;13(11):2565. doi: 10.3390/cancers13112565.
Several exosome proteins, miRNAs and mutations have been investigated in the hope of carrying out the early detection of pancreatic cancer with high sensitivity and specificity, but they have proven to be insufficient. Exosome RNAs, however, have not been extensively evaluated in the diagnosis of pancreatic cancer. The purpose of this study was to investigate the potential of circulating exosome RNAs in pancreatic cancer detection. By retrieving RNA-seq data from publicly accessed databases, differential expression and random-effects meta-analyses were performed. The results showed that pancreatic cancer had a distinct circulating exosome RNA signature in healthy individuals, and that the top 10 candidate exosome RNAs could distinguish patients from healthy individuals with an area under the curve (AUC) of 1.0. Three (, and ) of the 10 genes in exosomes had similar differential patterns to those in tumor tissues based on RNA-seq data. In the validation dataset, the levels of these three genes in exosomes displayed good performance in distinguishing cancer from both chronic pancreatitis (AUC = 0.815) and healthy controls (AUC = 0.8558), whereas a slight difference existed between chronic pancreatitis and healthy controls (AUC = 0.586). Of the three genes, the level of was positively associated with status. However, there was no significant difference in the levels of the three genes across the disease stages (stages I-IV). These findings indicate that circulating exosome RNAs have a potential early detection value in pancreatic cancer, and that a distinct exosome RNA signature exists in distinguishing pancreatic cancer from healthy individuals.
为了实现胰腺癌的高灵敏度和特异性早期检测，人们对几种外泌体蛋白、微小RNA（miRNA）和突变进行了研究，但结果证明这些都还不够。然而，外泌体RNA在胰腺癌诊断中的评估尚未广泛开展。本研究的目的是探讨循环外泌体RNA在胰腺癌检测中的潜力。通过从公开数据库检索RNA测序（RNA-seq）数据，进行了差异表达和随机效应荟萃分析。结果显示，胰腺癌在健康个体中具有独特的循环外泌体RNA特征，前10个候选外泌体RNA能够以曲线下面积（AUC）为1.0区分患者与健康个体。基于RNA-seq数据，外泌体中10个基因中的3个（、和）与肿瘤组织中的差异模式相似。在验证数据集中，外泌体中这三个基因的水平在区分癌症与慢性胰腺炎（AUC = 0.815）和健康对照（AUC = 0.8558）方面表现良好，而慢性胰腺炎与健康对照之间存在细微差异（AUC = 0.586）。在这三个基因中，的水平与状态呈正相关。然而，这三个基因在疾病各阶段（I-IV期）的水平没有显著差异。这些发现表明，循环外泌体RNA在胰腺癌早期检测中具有潜在价值，并且存在独特的外泌体RNA特征可用于区分胰腺癌与健康个体。
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