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多细胞肿瘤球体的振荡生长模式。

Oscillating growth patterns of multicellular tumour spheroids.

作者信息

Chignola R, Schenetti A, Chiesa E, Foroni R, Sartoris S, Brendolan A, Tridente G, Andrighetto G, Liberati D

机构信息

Istituto di Immunologia e Malattie Infettive, Università di Verona, Italy.

出版信息

Cell Prolif. 1999 Feb;32(1):39-48. doi: 10.1046/j.1365-2184.1999.3210039.x.

Abstract

The growth kinetics of 9L (rat glioblastoma cell line) and U118 (human glioblastoma cell line) multicellular tumour spheroids (MTS) have been investigated by non-linear least square fitting of individual growth curves with the Gompertz growth equation and power spectrum analysis of residuals. Residuals were not randomly distributed around calculated growth trajectories. At least one main frequency was found for all analysed MTS growth curves, demonstrating the existence of time-dependent periodic fluctuations of MTS volume dimensions. Similar periodic oscillations of MTS volume dimensions were also observed for MTS generated using cloned 9L cells. However, we found significant differences in the growth kinetics of MTS obtained with cloned cells if compared to the growth kinetics of MTS obtained with polyclonal cells. Our findings demonstrate that the growth patterns of three-dimensional tumour cell cultures are more complex than has been previously predicted using traditional continuous growth models.

摘要

通过将个体生长曲线与Gompertz生长方程进行非线性最小二乘拟合以及对残差进行功率谱分析,研究了9L(大鼠胶质母细胞瘤细胞系)和U118(人胶质母细胞瘤细胞系)多细胞肿瘤球体(MTS)的生长动力学。残差并非围绕计算出的生长轨迹随机分布。在所有分析的MTS生长曲线中均发现至少一个主频率,这表明MTS体积尺寸存在随时间变化的周期性波动。使用克隆的9L细胞生成的MTS也观察到了类似的MTS体积尺寸周期性振荡。然而,我们发现与多克隆细胞获得的MTS生长动力学相比,克隆细胞获得的MTS生长动力学存在显著差异。我们的研究结果表明,三维肿瘤细胞培养物的生长模式比以前使用传统连续生长模型预测的更为复杂。

相似文献

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Oscillating growth patterns of multicellular tumour spheroids.多细胞肿瘤球体的振荡生长模式。
Cell Prolif. 1999 Feb;32(1):39-48. doi: 10.1046/j.1365-2184.1999.3210039.x.

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本文引用的文献

1
DYNAMICS OF TUMOR GROWTH.肿瘤生长动力学
Br J Cancer. 1964 Sep;13(3):490-502. doi: 10.1038/bjc.1964.55.
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Entropic analysis of biological growth models.生物生长模型的熵分析
IEEE Trans Biomed Eng. 1993 Dec;40(12):1193-200. doi: 10.1109/10.250574.
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The biological foundation of the Gompertz model.冈珀茨模型的生物学基础。
Int J Biomed Comput. 1987 Jan;20(1-2):35-9. doi: 10.1016/0020-7101(87)90012-2.

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