Moradi Hamid, Ahmad Abrar, Shepherdson Dean, Vuong Nhung H, Niedbala Gosia, Eapen Libni, Vanderhyden Barbara, Nyiri Balazs, Murugkar Sangeeta
Department of Physics, Carleton University, K1S 5B6, Ottawa, Canada.
Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada.
J Biophotonics. 2017 Oct;10(10):1327-1334. doi: 10.1002/jbio.201600211. Epub 2016 Dec 23.
Despite the many advances intended to enhance the response to treatment, the survival rate of patients with ovarian cancer has only marginally improved in the past few decades. One major cause for this, is the lack of diagnostics for platinum-resistant disease. The goal of this study was to determine whether Raman micro-spectroscopy in conjunction with multivariate statistical analysis could discriminate between chemically fixed cisplatin-resistant (A2780cp) and cisplatin-sensitive (A2780s) human ovarian carcinoma cells. Raman spectra collected from individual cells were pre-processed and subsequently analyzed with Principal Component Analysis - Linear Discriminant Analysis (PCA-LDA). Statistically significant differences (P < 0.0001) were observed between the Raman spectra of A2780s and A2780cp cells. A diagnostic accuracy of 82% was obtained using the PCA-LDA classifier model for the discrimination between the A2780s and A2780cp cells. The loading plot analysis suggests that relative increases in proteins and glutathione in the cisplatin-resistant cells compared to the cisplatin-sensitive cells are most likely the major source of discrimination between the two types of cells. These results support the potential application of Raman spectroscopy in the identification of chemo-resistant tumors prior to treatment.
尽管在增强治疗反应方面取得了诸多进展，但在过去几十年里，卵巢癌患者的生存率仅略有提高。造成这种情况的一个主要原因是缺乏针对铂耐药疾病的诊断方法。本研究的目的是确定拉曼显微光谱结合多变量统计分析能否区分化学固定的顺铂耐药（A2780cp）和顺铂敏感（A2780s）的人卵巢癌细胞。从单个细胞收集的拉曼光谱经过预处理，随后用主成分分析 - 线性判别分析（PCA - LDA）进行分析。在A2780s和A2780cp细胞的拉曼光谱之间观察到具有统计学意义的差异（P < 0.0001）。使用PCA - LDA分类器模型区分A2780s和A2780cp细胞的诊断准确率为82%。载荷图分析表明，与顺铂敏感细胞相比，顺铂耐药细胞中蛋白质和谷胱甘肽的相对增加很可能是这两种细胞类型之间差异的主要来源。这些结果支持拉曼光谱在治疗前识别化疗耐药肿瘤方面的潜在应用。
