Powrózek Tomasz, Otieno Michael Ochieng', Maffeo Debora, Frullanti Elisa, Martinez-Useros Javier
Department of Human Physiology, Medical University of Lublin, Lublin, Poland.
Translational Oncology Division, Oncohealth Institute, Fundacion Jiménez Díaz University Hospital, Madrid, Spain.
Int J Biol Macromol. 2025 May;308(Pt 4):142469. doi: 10.1016/j.ijbiomac.2025.142469. Epub 2025 Apr 1.
Pancreatic cancer (PC) is one of the deadliest cancers, characterized by a poor prognosis. Currently, there are no screening programs for the early detection of PC, and existing diagnostic methods are primarily limited to high-risk individuals. Biomarkers such as CA19-9 have not significantly improved early diagnosis, making the identification of new potential biomarkers crucial for routine clinical practice. Among the candidate biomarkers, miRNAs have been most extensively studied due to their role in regulating gene expression (either as oncomiRs or tumor suppressor miRNAs) and their potential for minimally invasive analysis through liquid biopsy techniques. This review aims to summarize the current literature on blood-circulating miRNAs and their diagnostic value in PC detection, considering the context of CA19-9 and benign pancreatic diseases. The data from the collected studies were curated through both statistical and bioinformatics analyses to identify the most promising miRNAs with optimal diagnostic accuracy for PC detection and to assess their role in the molecular processes leading to tumor development.
胰腺癌(PC)是最致命的癌症之一,预后较差。目前,尚无用于早期检测PC的筛查项目,现有诊断方法主要限于高危个体。诸如CA19-9等生物标志物并未显著改善早期诊断,因此识别新的潜在生物标志物对常规临床实践至关重要。在候选生物标志物中,miRNA因其在调节基因表达中的作用(作为癌基因miRNA或肿瘤抑制miRNA)以及通过液体活检技术进行微创分析的潜力而得到了最广泛的研究。本综述旨在总结当前关于血液中循环miRNA及其在PC检测中的诊断价值的文献,同时考虑CA19-9和良性胰腺疾病的背景。通过统计和生物信息学分析对收集研究的数据进行整理,以识别出对PC检测具有最佳诊断准确性的最有前景的miRNA,并评估它们在导致肿瘤发生的分子过程中的作用。