Wu Jianrong, Houghton Peter J
Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105-3678, USA.
J Biopharm Stat. 2009 Sep;19(5):755-62. doi: 10.1080/10543400903105158.
In preclinical solid tumor xenograft experiments, tumor response to cytotoxic agents is often assessed by tumor cell kill. Log10 cell kill (LCK) is commonly used to quantify the tumor cell kill in such experiments. For comparisons of antitumor activity between tumor lines, the LCK values are converted to an arbitrary rating; for example, the treatment effect is considered significant if the LCK > 0.7 (Corbett et al., 2003). The drawback of using such a predefined cutoff point is that it does not account for the true variation of the experiments. In this article, a nonparametric bootstrap percentile interval of the LCK is proposed. The cytotoxic treatment effect can be assessed by the confidence limits of the LCK. Monte Carlo simulations are conducted to study the coverage probabilities of the proposed interval for small samples. Tumor xenograft data from a real experiment are analyzed to illustrate the proposed method.
在临床前实体瘤异种移植实验中，肿瘤对细胞毒性药物的反应通常通过肿瘤细胞杀伤来评估。对数10细胞杀伤（LCK）常用于在此类实验中量化肿瘤细胞杀伤。为了比较不同肿瘤细胞系之间的抗肿瘤活性，LCK值会被转换为一个任意等级；例如，如果LCK > 0.7，则认为治疗效果显著（Corbett等人，2003年）。使用这样一个预定义的截止点的缺点是它没有考虑到实验的真实变异性。在本文中，提出了LCK的非参数自助百分位数区间。细胞毒性治疗效果可以通过LCK的置信限来评估。进行蒙特卡洛模拟以研究该提议区间对小样本的覆盖概率。分析来自一项实际实验的肿瘤异种移植数据以说明所提出的方法。
