Liquid biopsy is currently a nondestructive and convenient cancer screening method, which has attracted the attention of many researchers in the field of biomedicine. Moreover, the diagnostic applications of liquid biopsy based on surface‐enhanced Raman spectroscopy (SERS), as a candidate method, potentially offers opportunities for cancer detection. In this work, we mainly evaluated the influence of Au nanoparticles with different sizes on urine SERS signals and analyzed the urine SERS spectra obtained by gastric cancer patients (n = 50), breast cancer patients (n = 43), and healthy volunteers (n = 48) through the principal component analysis combined linear discriminant analysis (PCA‐LDA). The detection sensitivity for identifying gastric cancer versus healthy, breast cancer versus healthy, and gastric cancer versus breast cancer was 90.0%, 96.0%, and 62.0%, respectively. And the corresponding diagnostic specificities for each combination were 93.8%, 93.8%, and 81.4%, respectively. These results show that urine SERS technology based on Au nanoparticles holds promising potential to be a rapid, noninvasive, and label‐free clinical tool for both gastric and breast cancer detection.

中文翻译：

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基于尿液分析的无标记液体活检，使用表面增强拉曼光谱技术进行无创胃癌和乳腺癌检测

液体活检目前是一种无损且方便的癌症筛查方法，引起了生物医学领域许多研究人员的关注。此外，基于表面增强拉曼光谱（SERS）的液体活检的诊断应用作为一种候选方法，可能为癌症检测提供机会。在这项工作中，我们主要评估不同大小的金纳米颗粒对尿液SERS信号的影响，并分析了胃癌患者（n = 50），乳腺癌患者（n = 43）和健康志愿者（n= 48）通过主成分分析结合线性判别分析（PCA-LDA）。识别胃癌与健康，乳腺癌与健康以及胃癌与乳腺癌的检测灵敏度分别为90.0％，96.0％和62.0％。每种组合的相应诊断特异性分别为93.8％，93.8％和81.4％。这些结果表明，基于金纳米颗粒的尿液SERS技术具有潜力，有望成为一种快速，无创且无标签的胃癌和乳腺癌检测临床工具。