Discrimination analysis of human lung cancer cells associated with histological type and malignancy using Raman spectroscopy
Discrimination analysis of human lung cancer cells associated with histological type and malignancy using Raman spectroscopy
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DOI：
10.1117/1.3316296
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发表时间：
2010-01-01
影响因子：
3.5
通讯作者：
Sato, Hidetoshi
中科院分区：
文献类型：
--
作者：
Oshima, Yusuke;Shinzawa, Hideyuki;Sato, Hidetoshi
拉曼光谱技术可以在不进行固定或原位标记的情况下观察细胞内的分子。拉曼光谱是一种很有前途的技术，可以用来诊断癌症，特别是肺癌，这是人类最常见的癌症之一。本研究的目的是寻找一种利用拉曼光谱鉴定癌细胞及其恶性程度的有效标记物。我们使用拉曼光谱、主成分分析(PCA)和线性判别分析(LDA)对培养的人肺癌细胞进行了分类。用532 nm激发激光成功地获得了单个正常肺细胞和四种不同病理类型的癌细胞的拉曼光谱。细胞色素c(Cyt-c)产生的强吸收带表明，在激发光作用下，通过550 nm附近的Q带，光谱是共振和增强的。PCA负荷图表明，Cyt-c在区分正常细胞和癌细胞方面做出了很大贡献。PCA结果反映了原始癌症的性质，如其组织类型和恶性程度。LDA成功地将这5个细胞区分开来。(C)2010年光学仪器工程师学会。[DOI：10.1117/1.3316296]
The Raman spectroscopic technique enables the observation of intracellular molecules without fixation or labeling procedures in situ. Raman spectroscopy is a promising technology for diagnosing cancers-especially lung cancer, one of the most common cancers in humans-and other diseases. The purpose of this study was to find an effective marker for the identification of cancer cells and their malignancy using Raman spectroscopy. We demonstrate a classification of cultured human lung cancer cells using Raman spectroscopy, principal component analysis (PCA), and linear discrimination analysis (LDA). Raman spectra of single, normal lung cells, along with four cancer cells with different pathological types, were successfully obtained with an excitation laser at 532 nm. The strong appearance of bands due to cytochrome c (cyt-c) indicates that spectra are resonant and enhanced via the Q-band near 550 nm with excitation light. The PCA loading plot suggests a large contribution of cyt-c in discriminating normal cells from cancer cells. The PCA results reflect the nature of the original cancer, such as its histological type and malignancy. The five cells were successfully discriminated by the LDA. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3316296]