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Towards detection and identification of circulating tumour cells using Raman spectroscopy

机译：利用拉曼光谱法检测和鉴定循环肿瘤细胞

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摘要

Body fluids are easily accessible and contain valuable indices for medical diagnosis. Fascinating toolsnare tumour cells circulating in the peripheral blood of cancer patients. As these cells are extremely rare,nthey constitute a challenge for clinical diagnostics. In this contribution we present the Ramannspectroscopic-based identification of different single cells in suspension that are found in peripheralnblood of cancer patients including healthy cells like leukocytes and erythrocytes, and tumour cells likenleukaemic cells and cells originating from solid tumours. Leukocytes and erythrocytes were isolatednfrom the peripheral blood of healthy donors while myeloid leukaemia cells (OCI-AML3) and breastncarcinoma derived cells (MCF-7, BT-20) were obtained from cell cultures. A laser emitting 785 nm lightnwas used for optical trapping the single cells in the laser focus and to excite the Raman spectrum.nSupport vector machines were applied to develop a supervised classification model with spectra of 1210ncells originating from three different donors and three independent cultivation batches. Distinguishingntumour cells from healthy cells was achieved with a sensitivity of >99.7% and a specificity of >99.5%. Innaddition, the correct cell types were predicted with an accuracy of approximately 92%.
机译：体液易于获取，并且包含用于医学诊断的有价值的指标。令人着迷的工具具有在癌症患者外周血中循环的肿瘤细胞。由于这些细胞极为稀少，因此对临床诊断构成了挑战。在这项贡献中，我们提出了基于拉曼光谱的悬浮液中不同单个细胞的鉴定，这些单个细胞存在于癌症患者的外周血中，包括健康细胞（如白细胞和红细胞）以及肿瘤细胞（如白血病细胞和源自实体瘤的细胞）。从健康供体的外周血中分离出白细胞和红细胞，而从细胞培养物中获得了髓样白血病细胞（OCI-AML3）和乳腺癌细胞（MCF-7，BT-20）。使用发射785 nm的光的激光光捕获激光聚焦中的单个细胞并激发拉曼光谱.nSupport Vector Machine被用于开发监督分类模型，该模型具有来自三个不同供体和三个独立培养批次的1210n个细胞的光谱。实现了将肿瘤细胞与健康细胞区分开，灵敏度> 99.7％，特异性> 99.5％。此外，预测正确的细胞类型的准确性约为92％。

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  • 来源
    《The Analyst》 |2010年第12期|p.3178-3182|共5页
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    U. Neugebauer T. Bocklitz J. H. Clement C. Krafft and J. Popp;

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    aInstitute of Photonic Technology, Albert-Einstein-Str. 9, D-07745 Jena,Germany. E-mail: christoph.krafft@ipht-jena.debInstitute of Physical Chemistry, Friedrich-Schiller-University Jena,Helmholtzweg 4, D-07743 Jena, GermanycDepartment of Internal Medicine II, University Hospital Jena, ErlangerAllee 101, D-07740 Jena, Germany† This article is part of a themed issue on Optical Diagnosis. This issueincludes work presented at SPEC 2010 Shedding Light on Disease:Optical Diagnosis for the New Millennium, which was held inManchester, UK June 26th–July 1st 2010.;

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