Tanigawa N, Kitaoka A, Yamakawa M, Tanisaka K, Kobayashi H
Second Department of Surgery, Fukui Medical School, Japan.
Anticancer Res. 1996 Jul-Aug;16(4A):1925-30.
It is necessary to develop an in vitro test to overcome the problems often associated with in vitro chemosensitivity tests on individual human tumours. We have developed a collagen gel droplet culture technique that allows for a three-dimensional in vitro growth and drug response assay for human solid tumour cells. Important features of chemosensitivity testing by the collagen gel droplet culture technique include the maintenance of high cloning efficiencies resulting in the need for fewer tumour cells, sufficient suppression of the in vitro proliferation of contaminating non-malignant cells by serum-free medium, and the application of the image analysis system which automatically discriminates between cancer cell colonies and fibroblasts. We described in vitro-in vivo correlations for drug response using 7 human lung cancer xenografts grown in the collagen gel droplet culture and as xenografts in nude mice. Results demonstrated significant correlations with the in vitro drug concentration at 1/10 of the peak plasma concentrations (1/10 Cmax) with the correlation coefficient 0.84 for all four drugs tested. We have cultured 206 tumours thus far obtaining 86% of evaluability for drug response. The drug response data of the fresh lung cancers were similar to not only to data for lung cancer lines but the reported clinical pattern. These results suggested that the collagen gel droplet culture at 1/10 Cmax may have potential in predicting clinical drug responses.
有必要开发一种体外试验,以克服个体人类肿瘤体外化学敏感性试验常伴随的问题。我们开发了一种胶原凝胶微滴培养技术,该技术可用于人类实体瘤细胞的三维体外生长和药物反应测定。胶原凝胶微滴培养技术进行化学敏感性测试的重要特征包括维持高克隆效率,从而减少所需肿瘤细胞数量;通过无血清培养基充分抑制污染的非恶性细胞的体外增殖;以及应用图像分析系统自动区分癌细胞集落和成纤维细胞。我们描述了使用在胶原凝胶微滴培养中生长的7种人肺癌异种移植瘤以及在裸鼠体内作为异种移植瘤的药物反应的体外-体内相关性。结果表明,在所有四种测试药物中,血浆峰浓度的1/10(1/10 Cmax)时的体外药物浓度与体内存在显著相关性,相关系数为0.84。到目前为止,我们已经培养了206个肿瘤,药物反应的可评估率为86%。新鲜肺癌的药物反应数据不仅与肺癌细胞系的数据相似,而且与报道的临床模式相似。这些结果表明,1/10 Cmax的胶原凝胶微滴培养在预测临床药物反应方面可能具有潜力。