Haemostasis, Thrombosis, Atherosclerosis and Vascular Biology Research Group, Medical Research Institute Hospital La Fe (IIS La Fe), 46026 Valencia, Spain.
Department of Gastrointestinal Surgery and Centre of Clinical Cancer Research, Aalborg University Hospital, 9000 Aalborg, Denmark.
Int J Mol Sci. 2020 Jan 28;21(3):840. doi: 10.3390/ijms21030840.
Cancer-associated venous thrombosis (VTE) increases mortality and morbidity. However, limited tools are available to identify high risk patients. Upon activation, neutrophils release their content through different mechanisms, thereby prompting thrombosis. We explored plasma microRNAs (miRNAs) and neutrophil activation markers to predict VTE in pancreatic ductal adenocarcinoma (PDAC) and distal extrahepatic cholangiocarcinoma (DECC). Twenty-six PDAC and 6 DECC patients recruited at cancer diagnosis, were examined for deep vein thrombosis and pulmonary embolisms, and were then followed-up with clinical examinations, blood collections, and biCUS. Ten patients developed VTE and were compared with 22 age- and sex-matched controls. miRNA expression levels were measured at diagnosis and right before VTE, and neutrophil activation markers (cell-free DNA, nucleosomes, calprotectin, and myeloperoxidase) were measured in every sample obtained during follow-up. We obtained a profile of 7 miRNAs able to estimate the risk of future VTE at diagnosis (AUC = 0.95; 95% Confidence Interval (CI) (0.987, 1)) with targets involved in the and pathways. Seven miRNAs were up- or down-regulated before VTE compared with diagnosis. We obtained a predictive model of VTE with calprotectin as predictor (AUC = 0.77; 95% CI (0.57, 0.95)). This is the first study that addresses the ability of plasma miRNAs and neutrophil activation markers to predict VTE in PDAC and DECC.
癌症相关静脉血栓栓塞症(VTE)会增加死亡率和发病率。然而,目前可用的识别高危患者的工具有限。中性粒细胞在被激活后,会通过不同的机制释放其内容物,从而引发血栓形成。我们探讨了血浆 microRNAs(miRNAs)和中性粒细胞活化标志物,以预测胰腺导管腺癌(PDAC)和肝外远端胆管癌(DECC)中的 VTE。在癌症诊断时,招募了 26 名 PDAC 患者和 6 名 DECC 患者,对其进行深静脉血栓形成和肺栓塞检查,然后通过临床检查、血液采集和生物 CUS 进行随访。10 名患者发生了 VTE,并与 22 名年龄和性别匹配的对照进行了比较。在诊断时和 VTE 发生前测量了 miRNA 表达水平,并在随访中测量了每个样本中的中性粒细胞活化标志物(无细胞 DNA、核小体、钙卫蛋白和髓过氧化物酶)。我们获得了一个能够在诊断时估计未来 VTE 风险的 7 miRNAs 特征(AUC = 0.95;95%置信区间(CI)(0.987,1)),其靶标涉及 和 途径。与诊断相比,在发生 VTE 之前,有 7 个 miRNA 上调或下调。我们获得了一个基于钙卫蛋白的 VTE 预测模型(AUC = 0.77;95% CI(0.57,0.95))。这是第一项探讨血浆 miRNAs 和中性粒细胞活化标志物在 PDAC 和 DECC 中预测 VTE 能力的研究。