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Application of HPLC Combined with Laser Induced Fluorescence for Protein Profile Analysis of Tissue Homogenates in Cervical Cancer

机译:HPLC结合激光诱导荧光在宫颈癌组织匀浆蛋白谱分析中的应用

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摘要

A highly objective method, High Performance Liquid Chromatography with Laser Induced Fluorescence (HPLC-LIF) technique was used to study the protein profiles of normal and cervical cancer tissue homogenates. A total of 44 samples including normal cervical biopsy samples from the hysterectomy patients and the patients suffering from different stages of the cervical cancer were recorded by HPLC-LIF and analysed by Principle Component Analysis (PCA) to get statistical information on different tissue components. Discrimination of different stages of the samples was carried out by considering three parameters—scores of factor, spectral residual, and Mahalanobis Distance. Diagnostic accuracy of the method was evaluated using Receiver Operating Characteristic (ROC) analysis, and Youden's index (J) plots. The PCA results showed high sensitivity and specificity (∼100) for cervical cancer diagnosis. ROC and Youden's index curves for both normal and malignant standard sets show good diagnostic accuracy with high AUC values. The statistical analysis has shown that the differences in protein profiles can be used to diagnose biochemical changes in the tissue, and thus can be readily applied for the detection of cervical cancer, even in situations where a histopathology examination is not easy because of nonavailability of experienced pathologists.
机译:一种高度客观的方法,采用激光诱导荧光的高效液相色谱(HPLC-LIF)技术用于研究正常和宫颈癌组织匀浆的蛋白质谱。通过HPLC-LIF记录总共44个样本,包括子宫切除术患者和宫颈癌不同阶段患者的正常宫颈活检样本,并通过主成分分析(PCA)进行分析,以获取有关不同组织成分的统计信息。通过考虑三个参数(因子得分,光谱残差和马氏距离)对样品的不同阶段进行区分。使用接收器工作特性(ROC)分析和尤登指数(J)图评估了该方法的诊断准确性。 PCA结果显示对宫颈癌的诊断具有很高的敏感性和特异性(〜100)。正常和恶性标准品的ROC和Youden指数曲线均显示出较高的AUC值,具有良好的诊断准确性。统计分析表明,蛋白质谱的差异可用于诊断组织中的生化变化,因此,即使在由于缺乏经验的医生无法进行组织病理学检查的情况下,也可以很容易地将其应用于宫颈癌的检测。病理学家。

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