Qiu Sufang, Li Miaomiao, Liu Jun, Chen Xiaochuan, Lin Ting, Xu Yunchao, Chen Yang, Weng Youliang, Pan Yuhui, Feng Shangyuan, Lin Xiandong, Zhang Lurong, Lin Duo
Department of Radiation Oncology, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou 350014, China.
Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou 350014, China.
Biomed Opt Express. 2020 Mar 5;11(4):1819-1833. doi: 10.1364/BOE.388785. eCollection 2020 Apr 1.
To explore the effect in nasopharyngeal carcinoma (NPC) cells after treatment with chemodrugs, Raman profiles were characterized by laser tweezer Raman spectroscopy. Two NPC cell lines (CNE2 and C666-1) were treated with gemcitabine, cisplatin, and paclitaxel, respectively. The high-quality Raman spectra of cells without or with treatments were recorded at the single-cell level with label-free laser tweezers Raman spectroscopy (LTRS) and analyzed for the differences of alterations of Raman profiles. Tentative assignments of Raman peaks indicated that the cellular specific biomolecular changes associated with drug treatment include changes in protein structure (e.g. 1655 cm), changes in DNA/RNA content and structure (e.g. 830 cm), destruction of DNA/RNA base pairs (e.g. 785 cm), and reduction in lipids (e.g. 970 cm). Besides, both principal components analysis (PCA) combined with linear discriminant analysis (LDA) and the classification and regression trees (CRT) algorithms were employed to further analyze and classify the spectral data between control group and treated group, with the best discriminant accuracy of 96.7% and 90.0% for CNE2 and C666-1 group treated with paclitaxel, respectively. This exploratory work demonstrated that LTRS technology combined with multivariate statistical analysis has promising potential to be a novel analytical strategy at the single-cell level for the evaluation of NPC-related chemotherapeutic drugs.
为了探究化疗药物处理后对鼻咽癌(NPC)细胞的影响,利用激光镊子拉曼光谱对拉曼光谱特征进行了表征。分别用吉西他滨、顺铂和紫杉醇处理两种NPC细胞系(CNE2和C666-1)。采用无标记激光镊子拉曼光谱(LTRS)在单细胞水平记录未经处理和经处理细胞的高质量拉曼光谱,并分析拉曼光谱特征变化的差异。拉曼峰的初步归属表明,与药物处理相关的细胞特异性生物分子变化包括蛋白质结构变化(如1655 cm)、DNA/RNA含量和结构变化(如830 cm)、DNA/RNA碱基对破坏(如785 cm)以及脂质减少(如970 cm)。此外,主成分分析(PCA)结合线性判别分析(LDA)以及分类与回归树(CRT)算法均被用于进一步分析和分类对照组与处理组之间的光谱数据,紫杉醇处理的CNE2组和C666-1组的最佳判别准确率分别为96.7%和90.0%。这项探索性工作表明,LTRS技术结合多变量统计分析在单细胞水平评估NPC相关化疗药物方面具有成为一种新型分析策略的潜力。