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核图像的计算机分析和多变量分析在理解抗肿瘤药物的作用效果及其作用机制方面的应用。

The application of computerized analysis of nuclear images and multivariate analysis to the understanding of the effects of antineoplastic agents and their mechanism of action.

作者信息

Pauwels O, Kiss R

机构信息

Laboratoire d'Histologie, Faculté de Médecine, Université Libre de Bruxelles, Belgium.

出版信息

Methods Find Exp Clin Pharmacol. 1993 Mar;15(2):113-24.

PMID:8487594
Abstract

The present work involves the creation of a model that makes the rapid study of anticancer drugs possible. In order to make possible the multilevel study of antineoplastic derivatives (their effects on cell proliferation, their cell kinetics, their chromatin texture and the study of their potential operating mechanisms), the computerized analysis of nuclear images linked to multivariate analysis was chosen, and, in so doing, took into account 15 computer-calculated morphonuclear parameters for Feulgen-stained cell nuclei. In order to validate the method it was subjected to a series of well-known cancer drugs. The present results are in agreement with those obtained by conventional methods similar to those used for the study of the cytotoxicity of anticancer molecules or their effect on cell kinetics. Multivariate analysis applied to the parameters described by image analysis should make possible the rapid study of new anticancer drugs together with the rapid orientation of studies undertaken to ascertain their operating mechanisms.

摘要

目前的工作涉及创建一个模型,该模型使快速研究抗癌药物成为可能。为了实现对抗肿瘤衍生物的多层次研究(它们对细胞增殖的影响、它们的细胞动力学、它们的染色质结构以及它们潜在作用机制的研究),选择了与多变量分析相关的细胞核图像的计算机化分析,并且在这样做的过程中,考虑了针对福尔根染色的细胞核的15个计算机计算的形态核参数。为了验证该方法,使其接受了一系列知名抗癌药物的检验。目前的结果与通过类似于用于研究抗癌分子细胞毒性或其对细胞动力学影响的传统方法所获得的结果一致。应用于图像分析所描述参数的多变量分析应该使快速研究新的抗癌药物以及确定其作用机制的研究的快速定位成为可能。

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