Institute for Respiratory Health and Centre for Respiratory Health, School of Biomedical Sciences, University of Western Australia, Nedlands, WA 6009, Australia.
Centre for Cell Therapy and Regenerative Medicine, School of Biomedical Sciences, University of Western Australia and Harry Perkins Institute of Medical Research, Nedlands, WA 6009, Australia.
Dis Markers. 2019 Jul 31;2019:8628612. doi: 10.1155/2019/8628612. eCollection 2019.
Malignant pleural mesothelioma (MPM) is an incurable cancer of the pleura that can be difficult to diagnose. Biomarkers for an easier and/or earlier diagnosis are needed. Approximately 90% of MPM patients develop a pleural effusion (PE). PEs are ideal sources of biomarkers as the fluid would almost always require drainage for diagnostic and/or therapeutic reasons. However, differentiating MPM PE from PE caused by other diseases can be challenging. MicroRNAs are popular biomarkers given their stable expression in tissue and fluid. MicroRNAs have been analysed in PE cytology samples for the diagnosis of MPM but have not been measured in frozen/fresh PE. We hypothesise that microRNAs expressed in PE are biomarkers for MPM. TaqMan OpenArray was used to analyse over 700 microRNAs in PE cells and supernatants from 26 MPMs and 21 other PE-causing diseases. In PE cells, combining miR-143, miR-210, and miR-200c could differentiate MPM with an area under the curve (AUC) of 0.92. The three-microRNA signature could also discriminate MPM from a further 40 adenocarcinomas with an AUC of 0.9887. These results suggest that the expression of miR-143, miR-210, and miR-200c in PE cells might provide a signature for diagnosing MPM.
恶性胸膜间皮瘤(MPM)是一种难以诊断的胸膜间皮恶性肿瘤。需要有更容易和/或更早诊断的生物标志物。大约 90%的 MPM 患者会出现胸腔积液(PE)。PE 是生物标志物的理想来源,因为由于诊断和/或治疗原因,几乎总是需要引流胸腔积液。然而,区分 MPM 性 PE 和由其他疾病引起的 PE 可能具有挑战性。由于 microRNA 在组织和液体中的稳定表达,它们是很受欢迎的生物标志物。已经在 PE 细胞学样本中分析了 microRNA 用于诊断 MPM,但尚未在冷冻/新鲜 PE 中进行测量。我们假设在 PE 中表达的 microRNA 是 MPM 的生物标志物。TaqMan OpenArray 用于分析 26 例 MPM 和 21 例其他引起 PE 的疾病的 PE 细胞和上清液中的 700 多个 microRNA。在 PE 细胞中,组合 miR-143、miR-210 和 miR-200c 可以区分 MPM,曲线下面积(AUC)为 0.92。这三个 microRNA 特征也可以将 MPM 与另外 40 个腺癌区分开来,AUC 为 0.9887。这些结果表明,PE 细胞中 miR-143、miR-210 和 miR-200c 的表达可能为诊断 MPM 提供特征。