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利用傅里叶变换红外光谱显微镜监测病毒相关癌症进展:完整细胞与组织的比较研究

Monitoring of viral cancer progression using FTIR microscopy: a comparative study of intact cells and tissues.

作者信息

Bogomolny Evgeny, Argov Shmuel, Mordechai Shaul, Huleihel Mahmoud

机构信息

Department of Physics, Ben Gurion University, Beer-Sheva 84105, Israel.

出版信息

Biochim Biophys Acta. 2008 Sep;1780(9):1038-46. doi: 10.1016/j.bbagen.2008.05.008. Epub 2008 Jun 25.

DOI:10.1016/j.bbagen.2008.05.008
PMID:18588944
Abstract

Fourier transform infrared microspectroscopy (FTIR-MSP) is an analytical method with a promising potential for detecting the spectral changes due to cancerous changes in cells. The purpose of the present study is monitoring biochemical spectral changes accompanying viral cancer progression in cells and tissues using FTIR-MSP. As a model system, we used cells in culture which were transformed to malignant cells by infection with murine sarcoma virus (MuSV) and cervical tissues at different neoplastic stages. In order to devise a systematic follow-up of the cancer progression, it was essential first to determine and validate consistent and significant spectral biomarkers, which can evidently discriminate between normal and cancerous cells/tissues. Then these biomarkers were used for the characterization and classification of early stages of malignant transformation utilizing discriminant classification function techniques. Our study points out that malignancy progression can be eminently graded for both cell lines and tissues. For example, using the array of four biomarkers: A(2958)A(2852)+A(2923),A(1121)/A(1015),A(1171)/A(1152)and|A(1082)-A(1056)|A(1028), we attained that the classification accuracies of different premalignant stages of cell lines and tissues were varied between 89.5 and 97.4%. These results strongly support the potential of developing FTIR microspectroscopy as a simple, reagent free method for early detection and accurate differentiation of premalignant stages.

摘要

傅里叶变换红外显微光谱法(FTIR-MSP)是一种具有检测细胞癌变引起的光谱变化潜力的分析方法。本研究的目的是使用FTIR-MSP监测细胞和组织中伴随病毒癌进展的生化光谱变化。作为一个模型系统,我们使用了通过感染鼠肉瘤病毒(MuSV)转化为恶性细胞的培养细胞以及处于不同肿瘤阶段的宫颈组织。为了设计对癌症进展的系统随访,首先确定并验证一致且显著的光谱生物标志物至关重要,这些标志物能够明显区分正常细胞和癌细胞/组织。然后利用判别分类函数技术将这些生物标志物用于恶性转化早期阶段的表征和分类。我们的研究指出,对于细胞系和组织,恶性进展都可以显著分级。例如,使用四个生物标志物组成的阵列:A(2958)A(2852)+A(2923)、A(1121)/A(1015)、A(1171)/A(1152)以及|A(1082)-A(1056)|A(1028),我们得出细胞系和组织不同癌前阶段的分类准确率在89.5%至97.4%之间变化。这些结果有力地支持了将FTIR显微光谱法开发为一种用于癌前阶段早期检测和准确区分的简单、无需试剂的方法的潜力。

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Monitoring of viral cancer progression using FTIR microscopy: a comparative study of intact cells and tissues.利用傅里叶变换红外光谱显微镜监测病毒相关癌症进展:完整细胞与组织的比较研究
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