Surface enhanced Raman spectroscopy-based immunoassay detection of tumor-derived extracellular vesicles to differentiate pancreatic cancers from chronic pancreatitis,Journal of Raman Spectroscopy

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Surface enhanced Raman spectroscopy-based immunoassay detection of tumor-derived extracellular vesicles to differentiate pancreatic cancers from chronic pancreatitis
Journal of Raman Spectroscopy ( IF 2.4 ) Pub Date : 2021-09-06 , DOI: 10.1002/jrs.6241
Nariman Banaei ₁ , Javad Moshfegh ₂ , Byung Kim _{1,

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Affiliation

Pancreatic cancer (PC) is an aggressive malignancy with an exceptionally high mortality rate because it lacks effective early diagnosis methods. To improve the ability to diagnose PC, the identification of biomarkers that can differentiate PC patients from both normal controls (NC) and those with chronic pancreatitis (CP) is vital. This study demonstrates the detection of extracellular vesicles (EVs) as an excellent resource of diagnostic biomarkers in serum samples from NC individuals, and CP and PC patients using a surface enhanced Raman spectroscopy (SERS)-based immunoassay technique. The assay uses the Au-CD81-EVs-EphA2-Au complex to capture PC tumor-derived EVs specifically and produces highly localized regions of intense field enhancement (hot spots) concurrently. Applying a machine learning algorithm to the analysis of the expression level of EVs biomarkers in PC, CP, and NC individuals, the sensitivity and specificity were measured as 0.95 and 0.96, respectively. Measuring PC tumor-derived EVs' expression levels in serum of PC patients, CP patients, and NC individuals suggests the great potential of using this biomarker to differentiate pancreatic cancers from chronic pancreatitis.

中文翻译：

基于表面增强拉曼光谱的肿瘤细胞外囊泡免疫分析检测以区分胰腺癌和慢性胰腺炎

胰腺癌 (PC) 是一种侵袭性恶性肿瘤，由于缺乏有效的早期诊断方法，因此死亡率极高。为了提高诊断 PC 的能力，鉴定可以区分 PC 患者与正常对照 (NC) 和慢性胰腺炎 (CP) 患者的生物标志物至关重要。本研究表明，使用基于表面增强拉曼光谱 (SERS) 的免疫测定技术，检测细胞外囊泡 (EV) 作为 NC 个体以及 CP 和 PC 患者血清样本中诊断生物标志物的极好资源。该测定使用 Au-CD81-EVs-EphA2-Au 复合物来特异性捕获 PC 肿瘤衍生的 EV，并同时产生高度局部化的强场增强区域（热点）。将机器学习算法应用于 PC、CP 和 NC 个体中 EV 生物标志物的表达水平的分析，灵敏度和特异性分别测量为 0.95 和 0.96。测量 PC 患者、CP 患者和 NC 个体血清中 PC 肿瘤衍生的 EV 表达水平表明使用这种生物标志物区分胰腺癌和慢性胰腺炎的巨大潜力。

更新日期：2021-11-09

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