Department of Tropical Medicine and Infectious Diseases, Faculty of Medicine, Tanta University, El-Giash Street, Tanta, 31527, Egypt.
Physiology Department, Faculty of Science, Tanta University, Tanta, Egypt.
Mol Biol Rep. 2020 Jul;47(7):4945-4953. doi: 10.1007/s11033-020-05521-4. Epub 2020 May 19.
MicroRNAs (miRNAs) play important roles in liver pathologies and they are potential biomarkers for diagnosis of liver diseases progression. Changes in miRNA sera expression can be used as non-invasive biomarkers for hepatocellular carcinoma (HCC). The aim of the study was to identify the miRNome profiling of HCC and its diagnostic value in distinguishing HCC from healthy individuals. Expression profiles of miRNAs in serum samples of 20 HCC patients and 10 healthy controls were detected. Whole miRNome profiling was done using next generation sequencing. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic performance of the deregulated miRNAs for discriminating HCC cases from healthy controls. MiRNA 142 was highly expressed in HCC (P value = 0.023) while miRNAs 191, 22, and 126 were higher in the controls (P value = 0.005, 0.034, 0.010 respectively). We have identified 5 novel miRNAs and they were highly expressed in HCC than controls. Analysis of ROC curve demonstrated that these deregulated miRNAs can be used as a reliable biomarker for detection of HCC with high diagnostic accuracy (AUC = 0.93). We have detected a panel of serum miRNAs that can be used as a reliable noninvasive screening biomarker of HCC. The study recommends further research to shed light on a possible role of the newly discovered novel miRNAs in HCC pathogenesis.
微小 RNA（miRNAs）在肝脏疾病中发挥重要作用，它们是诊断肝脏疾病进展的潜在生物标志物。miRNA 血清表达的变化可用作肝细胞癌（HCC）的非侵入性生物标志物。本研究旨在确定 HCC 的 miRNA 组谱及其在区分 HCC 与健康个体方面的诊断价值。检测了 20 例 HCC 患者和 10 例健康对照者血清样本中的 miRNA 表达谱。使用下一代测序进行全 miRNA 组谱分析。进行受试者工作特征（ROC）分析，以评估失调 miRNA 区分 HCC 病例与健康对照的诊断性能。miRNA 142 在 HCC 中高表达（P 值=0.023），而 miRNA 191、22 和 126 在对照组中高表达（P 值分别为 0.005、0.034 和 0.010）。我们鉴定了 5 种新的 miRNA，它们在 HCC 中的表达高于对照组。ROC 曲线分析表明，这些失调的 miRNA 可作为 HCC 检测的可靠生物标志物，具有较高的诊断准确性（AUC=0.93）。我们已经检测到一组可作为 HCC 可靠非侵入性筛查生物标志物的血清 miRNAs。该研究建议进一步研究，以阐明新发现的 miRNA 在 HCC 发病机制中的可能作用。
