Smolle J, Hofmann-Wellenhof R, Fink-Puches R, Auersperg N
Department of Dermatology, University of Graz, Austria.
Anal Quant Cytol Histol. 1996 Jun;18(3):199-204.
There is abundant evidence that patterning in life sciences may be closely related to the functional properties of the constitutive elements. In order to estimate some of these functional properties by examining the static pattern evolved, pattern interpretation by cellular automata (PICA) was introduced and applied to the mechanisms of tumor growth. Previously it was shown that the estimates concerning tumor cell proliferation and motility were consistent with those obtained by other methods.
Morphologic patterns obtained by growing two variants of the C4 cervical carcinoma cell lines with different in vitro adhesive properties in the hamster cheek pouch were evaluated by PICA.
PICA estimates of tumor cell cohesion turned out to be significantly higher in tumors derived from the C4-I cell line (0.73 +/- 0.02 SD) with high in vitro cohesiveness than in tumors derived from the less adhesive C4-II cell line (0.32 +/- 0.04 SD; t test, P = .001).
These results indicate that functional estimates concerning tumor cell cohesion obtained by PICA may be in good agreement with in vitro observations of the same cellular property and further underscore that PICA may be a useful tool for the functional interpretation of static histologic patterns.
有充分证据表明，生命科学中的模式形成可能与组成元素的功能特性密切相关。为了通过检查所形成的静态模式来评估其中一些功能特性，引入了细胞自动机模式解释（PICA）并将其应用于肿瘤生长机制。此前已表明，关于肿瘤细胞增殖和运动性的估计与通过其他方法获得的估计一致。
通过PICA评估在仓鼠颊囊内培养具有不同体外黏附特性的两种C4宫颈癌细胞系变体所获得的形态学模式。
结果表明，源自具有高体外黏附性的C4-I细胞系的肿瘤中，PICA对肿瘤细胞黏附力的估计（0.73±0.02标准差）显著高于源自黏附性较低的C4-II细胞系的肿瘤（0.32±0.04标准差；t检验，P = 0.001）。
这些结果表明，通过PICA获得的关于肿瘤细胞黏附力的功能估计可能与对相同细胞特性的体外观察结果高度一致，并进一步强调PICA可能是对静态组织学模式进行功能解释的有用工具。
