Quantitation of preinvasive neoplastic progression in animal models of chemical carcinogenesis.

J W Bacus, J V Bacus, G D Stoner, R C Moon, G J Kelloff, C W Boone
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引用次数: 0

Abstract

An assay method that precisely quantitates the cellular and tissue changes associated with early, preinvasive neoplasia is much needed as a surrogate endpoint biomarker (SEB) in clinical trials to predict the potential efficacy of chemopreventive agents in bringing about cancer incidence reduction. Quantification of histological changes at the tissue level are potentially powerful SEB's since these visually apparent changes are common in all neoplastic development, regardless of tissue type or neoplastic cause. Currently, subjective inspection of the histological appearance of sectioned and stained material, or "grading," by experienced pathologists is used to evaluate neoplastic progression. This has well-known limitations of reproducibility, accuracy, and resolution of grading scale. Since neoplastic changes are visually apparent and morphologic in nature, quantification by image analysis is a measurement modality of choice. Image analysis was implemented through the use of high-resolution "tiled" images of complete tissue sections. A histological grading system, or "scale," was developed that could be expressed in terms of normal deviate units of multiple and different morphometric descriptors. Neoplastic growth was characterized quantitatively with multiple measurements on each tissue image tile, which were combined into a single number for each tile, i.e., a histologic grade per tile, and parameters from the distributions of these measurements were used to represent the histologic grade for the entire region considered. This concept provided a uniform final scale in similar units of measurement, regardless of which tissues were graded. Also, the grading scale automatically adjusted measurement variance for different tissues by using normal tissue for each different type to obtain the normalization to standard deviation (z) units. This further defined a uniform final scale and maintained standard references. Using this method, results from two well-known animal models of carcinogenesis, squamous cell carcinoma of SENCAR mouse skin induced by benzo(a)pyrene (B[a]P), and squamous cell carcinoma of the rat esophagus induced by N-nitrosomethylbenzylamine (NMBA), were compared to each other. Image analysis was performed on skin tissue sections from a total of 64 SENCAR mice, and esophagus tissue sections from 96 Fischer-344 rats. In both cases, a quantitative expression of the preinvasive neoplastic response to the carcinogen as a function of time of exposure was expressed along a continuous grading scale in standard deviation units (z). In the SENCAR mouse skin animal model, similar cohorts of 4 mice at 20 weeks showed significant modulation of B[a]P-induced neoplasia by treatment with the antiproliferative agent difluoromethylornithine, P < .05. In the rat esophagus animal model, similar cohorts of 6 rats at 10 and 15 weeks showed significant modulation of NMBA-induced neoplasia by treatment with the antimutagen phenethyl isothiocyanate, P < .05.

化学癌变动物模型侵袭前肿瘤进展的定量研究。
在临床试验中,迫切需要一种精确量化与早期侵袭前肿瘤相关的细胞和组织变化的检测方法作为替代终点生物标志物(SEB),以预测化学预防药物在降低癌症发病率方面的潜在功效。组织水平组织学变化的量化是潜在的强大的SEB,因为这些视觉上明显的变化在所有肿瘤发展中都很常见,无论组织类型或肿瘤原因如何。目前,由经验丰富的病理学家对切片和染色材料的组织学外观进行主观检查,或“分级”,用于评估肿瘤进展。这是众所周知的再现性、准确性和分级标度分辨率的限制。由于肿瘤的变化在视觉上是明显的,本质上是形态学的,因此通过图像分析进行量化是一种选择的测量方式。通过使用完整组织切片的高分辨率“平铺”图像来实现图像分析。一种组织学分级系统,或“尺度”,被开发出来,可以用多个和不同形态计量描述符的正方差单位来表示。通过对每个组织图像瓦片进行多次测量来定量表征肿瘤生长,这些测量结果被组合成每个瓦片的单个数字,即每个瓦片的组织学分级,这些测量分布的参数用于表示所考虑的整个区域的组织学分级。这一概念在类似的测量单位中提供了一个统一的最终尺度,无论哪种组织被分级。同时,分级量表通过对每一种不同类型的正常组织自动调整不同组织的测量方差,得到归一化到标准差(z)单位。这进一步确定了统一的最终比例尺,并保持了标准参考。采用该方法,比较了两种著名的致癌动物模型,即苯并(a)芘(B[a]P)诱导的senar小鼠皮肤鳞状细胞癌和n -亚硝基甲基苄胺(NMBA)诱导的大鼠食管鳞状细胞癌的结果。对64只senar小鼠的皮肤组织切片和96只fisher -344大鼠的食管组织切片进行图像分析。在这两种情况下,对致癌物的侵袭前肿瘤反应的定量表达作为暴露时间的函数,以标准偏差单位(z)为连续分级尺度表示。在senar小鼠皮肤动物模型中,相似的4只小鼠在20周时显示,抗增殖剂二氟甲基鸟氨酸治疗对B[a]P诱导的肿瘤有显著调节,P < 0.05。在大鼠食管动物模型中,6只大鼠在第10周和第15周的相似队列中,抗诱变剂异硫氰酸苯乙酯治疗对nba诱导的肿瘤有显著的调节作用,P < 0.05。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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