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通过数字细胞图像分析对耐药性进行形态核特征分析:一项体外评估

Morphonuclear characterization of drug resistance by means of digital cell-image analysis: an in vitro assessment.

作者信息

Pauwels O, Kiss R

机构信息

Laboratory of Histology, Faculty of Medicine, Free University of Brussels, Belgium.

出版信息

Cancer Chemother Pharmacol. 1995;37(1-2):179-86. doi: 10.1007/BF00685647.

Abstract

The prediction of tumor resistance to antineoplastic drugs remains an important challenge in cancer chemotherapy. Several methods have been proposed in this connection, but they present a number of problems such as clinical relevance and applicability. In the present work we put forward an original methodology to assess the drug sensitivity of cancer cells. For this purpose we submitted chemosensitive and chemoresistant cell lines to different anticancer drugs and monitored the cell growth and the drug-induced morphonuclear effects by means of digital cell-image analysis of Feulgen-stained nuclei. The results showed that drug-induced effects at the morphonuclear level correlated statistically with the effects produced at the cell proliferation level. For example, the mean nuclear size value increased as a function of the drugs' efficiency recorded at the cell proliferation level. In the same way, the frequency of large dense chromatin clumps also increased in accordance with the drugs' efficiency. The present work thus demonstrates that digital cell-image analysis can be applied to monitor the efficiency of chemotherapeutic treatment carried out on cell lines in vitro. The present methodology could possibly be used on solid tumors, from which biological material can be obtained serially by means of fine-needle aspiration. As evidence of this, the present methodology can also be applied to hematological cancers.

摘要

肿瘤对抗肿瘤药物耐药性的预测仍然是癌症化疗中的一项重要挑战。为此已经提出了几种方法,但它们存在一些问题,如临床相关性和适用性。在本研究中,我们提出了一种评估癌细胞药物敏感性的原创方法。为此,我们将化疗敏感和化疗耐药细胞系暴露于不同的抗癌药物,并通过对福尔根染色细胞核进行数字细胞图像分析来监测细胞生长和药物诱导的形态核效应。结果表明,形态核水平上药物诱导的效应与细胞增殖水平上产生的效应在统计学上相关。例如,平均核大小值随着细胞增殖水平上记录的药物效率而增加。同样,大的致密染色质团块的频率也随着药物效率而增加。因此,本研究表明数字细胞图像分析可用于监测体外对细胞系进行的化疗治疗的效率。本方法可能适用于实体瘤,通过细针穿刺可以连续获取实体瘤的生物材料。作为证据,本方法也可应用于血液系统癌症。

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