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细胞外囊泡在胰腺癌精准诊断中的应用进展

Advances in the application of extracellular vesicles in precise diagnosis of pancreatic cancer.

作者信息

Yu Haiyang, Xin Congling, Zhou Yu, Ding Xiaoyi

机构信息

Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.

Department of Gynecology, Fudan University Shanghai Cancer Center Minhang District, Shanghai, 200240, China.

出版信息

Eur J Med Res. 2025 Jun 13;30(1):478. doi: 10.1186/s40001-025-02739-5.

Abstract

Pancreatic cancer is a highly malignant tumor with poor prognosis, emphasizing the need for accurate early diagnosis. EVs, as mediators of intercellular communication, carry DNA, RNA, and proteins that show differential but not tumor-specific expression patterns in pancreatic cancer. Studies have shown that combining RNA markers in EVs (such as miRNA, circRNA, and lncRNA) with serum CA 19-9 testing can significantly enhance diagnostic accuracy for pancreatic cancer. EV-associated proteins have exhibited favorable diagnostic performance in early-stage pancreatic cancer in preliminary studies, though their clinical applicability remains to be further validated. Furthermore, mutations in KRAS, TP53, and SMAD4 genes within EVs offer a promising avenue for non-invasive liquid biopsy. However, challenges such as standardization, low sensitivity, and specificity still hinder the clinical application of EVs. Future research should focus on strategies including multi-omics integration, AI-assisted analysis, multi-marker combined detection, and large-scale clinical validation to further improve the diagnostic capability for pancreatic cancer. Overcoming these obstacles may position EVs as a vital tool in the diagnosis of pancreatic cancer.

摘要

胰腺癌是一种预后较差的高度恶性肿瘤,这凸显了准确早期诊断的必要性。细胞外囊泡(EVs)作为细胞间通讯的介质,携带DNA、RNA和蛋白质,这些物质在胰腺癌中呈现出差异表达但并非肿瘤特异性的表达模式。研究表明,将EVs中的RNA标志物(如miRNA、circRNA和lncRNA)与血清CA 19-9检测相结合,可显著提高胰腺癌的诊断准确性。在初步研究中,EV相关蛋白在早期胰腺癌中表现出良好的诊断性能,但其临床适用性仍有待进一步验证。此外,EVs中KRAS、TP53和SMAD4基因的突变为非侵入性液体活检提供了一条有前景的途径。然而,标准化、低敏感性和特异性等挑战仍然阻碍着EVs的临床应用。未来的研究应聚焦于多组学整合、人工智能辅助分析、多标志物联合检测和大规模临床验证等策略,以进一步提高胰腺癌的诊断能力。克服这些障碍可能会使EVs成为胰腺癌诊断的重要工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1c6/12164127/284178f70c26/40001_2025_2739_Fig1_HTML.jpg

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