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基于亲和色谱分离的尿液修饰核苷的金纳米粒子表面增强拉曼光谱的无创癌症检测策略。

A noninvasive cancer detection strategy based on gold nanoparticle surface-enhanced raman spectroscopy of urinary modified nucleosides isolated by affinity chromatography.

机构信息

Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China.

Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Teaching Hospital of Fujian Medical University, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou 350014, China.

出版信息

Biosens Bioelectron. 2017 May 15;91:616-622. doi: 10.1016/j.bios.2017.01.006. Epub 2017 Jan 5.

Abstract

The search for tumor biomarkers in the urine for cancer diagnosis is currently a hot topic in clinical oncology, with potential for cancer screening and diagnosis. Modified nucleosides excreted through the urine are considered to be a general tumor marker for various cancer types. Herein, we explore a new method that utilizes surface-enhanced Raman scattering (SERS) spectroscopy to obtain a complete biochemical profile of urinary modified nucleosides. In our method, modified nucleosides are first isolated from urine sample utilizing the excellent separation ability of affinity chromatography; then supplemented with gold (Au) nanoparticles as substrate for SERS spectroscopy analysis. The obtained SERS spectra present rich diagnostic and fingerprinting type signatures of urinary modified nucleosides. The utility of this new method in cancer detection was evaluated by analyzing urine samples from three groups of subjects: nasopharyngeal cancer patients (n=62), esophageal cancer patients (n=55), and healthy volunteers (n=52). Partial least squares and linear discriminant analysis (PLS-DA) were used to analyze and classify the SERS spectra of urinary modified nucleosides from nasopharyngeal cancer, esophageal cancer, and the normal group, achieving diagnostic sensitivities of 95.2%, 90.9% and 98.1% and specificities of 97.2%, 98.2% and 95.7%, respectively. These results demonstrated great potential of this novel method for non-invasive and label-free cancer detection and screening.

摘要

尿液中肿瘤标志物的寻找目前是临床肿瘤学的一个热门话题,具有癌症筛查和诊断的潜力。通过尿液排泄的修饰核苷被认为是各种癌症类型的一般肿瘤标志物。在此,我们探索了一种利用表面增强拉曼散射(SERS)光谱获得尿液修饰核苷完整生化谱的新方法。在我们的方法中,首先利用亲和色谱的优异分离能力从尿液样本中分离修饰核苷;然后补充金(Au)纳米粒子作为 SERS 光谱分析的基底。获得的 SERS 光谱呈现出丰富的尿液修饰核苷的诊断和指纹类型特征。通过分析三组受试者的尿液样本,评估了这种新方法在癌症检测中的应用:鼻咽癌患者(n=62)、食管癌患者(n=55)和健康志愿者(n=52)。偏最小二乘法和线性判别分析(PLS-DA)用于分析和分类鼻咽、食管和正常组尿液修饰核苷的 SERS 光谱,分别实现了 95.2%、90.9%和 98.1%的诊断灵敏度和 97.2%、98.2%和 95.7%的特异性。这些结果表明,这种新方法在非侵入性和无标记癌症检测和筛查方面具有巨大潜力。

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