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利用振动光谱研究高危型人乳头瘤病毒对宫颈癌细胞生化成分的影响。

Investigation of the influence of high-risk human papillomavirus on the biochemical composition of cervical cancer cells using vibrational spectroscopy.

机构信息

RESC, Focas Research Institute, Dublin Institute of Technology, Kevin Street, Dublin 8, Ireland.

出版信息

Analyst. 2010 Dec;135(12):3087-93. doi: 10.1039/c0an00571a. Epub 2010 Oct 21.

DOI:10.1039/c0an00571a
PMID:20967345
Abstract

The main aetiology of cervical cancer is infection with high-risk human papillomavirus (HPV). Cervical cancer is almost 100% curable if detected in the early stages. Thus, information about the presence and levels of HPV in patient samples has high clinical value. As current screening methods, such as the Pap smear test, are highly subjective and in many cases show low sensitivity and specificity, new supportive techniques are desirable to improve the quality of cervical cancer screening. In this study, vibrational spectroscopic techniques (Raman and Fourier Transform Infra Red absorption) have been applied to the investigation of four cervical cancer cell lines: HPV negative C33A, HPV-18 positive HeLa with 20-50 integrated HPV copies per cell, HPV-16 positive SiHa with 1-2 integrated HPV strands per cell and HPV-16 positive CaSki containing 60-600 integrated HPV copies per cell. Results show that vibrational spectroscopic techniques can discriminate between the cell lines and elucidate cellular differences originating from proteins, nucleic acids and lipids. Similarities between C33A and SiHa cells were exhibited in the Raman and infrared spectra and were confirmed by Principal Component Analysis (PCA). Analysis of the biochemical composition of the investigated cells, with the aid of PCA, showed a clear discrimination between the C33A-SiHa group and HeLa and CaSki cell lines indicating the potential of vibrational spectroscopic techniques as a support to current methods for cervical cancer screening.

摘要

宫颈癌的主要病因是感染高危型人乳头瘤病毒(HPV)。如果在早期发现,宫颈癌几乎可以 100%治愈。因此,关于患者样本中 HPV 的存在和水平的信息具有很高的临床价值。由于目前的筛查方法,如巴氏涂片检查,具有高度主观性,并且在许多情况下显示出低灵敏度和特异性,因此需要新的支持技术来提高宫颈癌筛查的质量。在这项研究中,振动光谱技术(拉曼和傅里叶变换红外吸收)已应用于四种宫颈癌细胞系的研究:HPV 阴性的 C33A、HPV-18 阳性的 HeLa(每个细胞中有 20-50 个整合的 HPV 拷贝)、HPV-16 阳性的 SiHa(每个细胞中有 1-2 个整合的 HPV 链)和 HPV-16 阳性的 CaSki(每个细胞中有 60-600 个整合的 HPV 拷贝)。结果表明,振动光谱技术可以区分细胞系,并阐明源自蛋白质、核酸和脂质的细胞差异。C33A 和 SiHa 细胞的拉曼和红外光谱显示出相似性,并通过主成分分析(PCA)得到证实。借助 PCA 对所研究细胞的生化成分进行分析表明,C33A-SiHa 组与 HeLa 和 CaSki 细胞系之间存在明显的区分,表明振动光谱技术作为对当前宫颈癌筛查方法的支持具有潜力。

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