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通过分析细胞外液开发用于区分癌性和正常膀胱组织的表面增强拉曼散射诊断工具。

Toward a SERS Diagnostic Tool for Discrimination between Cancerous and Normal Bladder Tissues via Analysis of the Extracellular Fluid.

作者信息

Zacharovas Edvinas, Velička Martynas, Platkevičius Gediminas, Čekauskas Albertas, Želvys Aru Nas, Niaura Gediminas, Šablinskas Valdas

机构信息

Institute of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania.

Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio st. 21/27, LT-03101 Vilnius, Lithuania.

出版信息

ACS Omega. 2022 Mar 17;7(12):10539-10549. doi: 10.1021/acsomega.2c00058. eCollection 2022 Mar 29.

Abstract

Vibrational spectroscopy provides the possibility for sensitive and precise detection of chemical changes in biomolecules due to development of cancers. In this work, label-free near-infrared surface enhanced Raman spectroscopy (SERS) was applied for the differentiation between cancerous and normal human bladder tissues via analysis of the extracellular fluid of the tissue. Specific cancer-related SERS marker bands were identified by using a 1064 nm excitation wavelength. The prominent spectral marker band was found to be located near 1052 cm and was assigned to the C-C, C-O, and C-N stretching vibrations of lactic acid and/or cysteine molecules. The correct identification of 80% of samples is achieved with even limited data set and could be further improved. The further development of such a detection method could be implemented in clinical practice for the aid of surgeons in determining of boundaries of malignant tumors during the surgery.

摘要

由于癌症的发展,振动光谱法为灵敏且精确地检测生物分子中的化学变化提供了可能性。在这项工作中,通过对组织细胞外液的分析,无标记近红外表面增强拉曼光谱法(SERS)被用于区分癌性和正常的人类膀胱组织。使用1064 nm激发波长识别出了特定的癌症相关SERS标记带。发现突出的光谱标记带位于1052 cm附近,归因于乳酸和/或半胱氨酸分子的C-C、C-O和C-N伸缩振动。即使数据集有限,也能正确识别80%的样本,并且可以进一步改进。这种检测方法的进一步发展可应用于临床实践,以帮助外科医生在手术中确定恶性肿瘤的边界。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2d/8973049/7d2787b1dd56/ao2c00058_0001.jpg

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