利用一系列突变和毒性数据预测癌症潜能。
Prediction of cancer potency using a battery of mutation and toxicity data.
作者信息
Travis C C, Saulsbury A W, Pack S A
机构信息
Health and Safety Research Division, Oak Ridge National Laboratory, TN 37831-6109.
出版信息
Mutagenesis. 1990 May;5(3):213-9. doi: 10.1093/mutage/5.3.213.
Correlations between the carcinogenic potencies of 146 known mouse carcinogens and potency estimates determined from (i) Ames test results, (ii) a battery of mutation test results, and (iii) a battery of mutation and toxicity data are presented. The lowest correlation was found using Salmonella mutagenic potency (r = 0.37). The highest correlations were found using the battery of mutation and toxicity data to predict the potency of lung carcinogens (r = 0.94) and liver carcinogens (r = 0.91). The results suggest that short-term batteries which include tests for both mutagenicity and toxicity will be able to predict carcinogenic potency better than current batteries relying solely on mutagenicity tests.
本文呈现了146种已知小鼠致癌物的致癌效力与通过以下方式确定的效力估计值之间的相关性：（i）艾姆斯试验结果；（ii）一系列突变试验结果；（iii）一系列突变和毒性数据。使用沙门氏菌致突变效力得出的相关性最低（r = 0.37）。使用一系列突变和毒性数据来预测肺癌致癌物（r = 0.94）和肝癌致癌物（r = 0.91）的效力时，相关性最高。结果表明，包含诱变性和毒性测试的短期试验组合比目前仅依赖诱变性测试的试验组合能更好地预测致癌效力。
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