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多壁碳纳米管诱导的小鼠肺部基因特征:对人类肺癌风险和预后的潜在预测价值。

Multiwalled carbon nanotube-induced gene signatures in the mouse lung: potential predictive value for human lung cancer risk and prognosis.

机构信息

Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, West Virginia, USA.

出版信息

J Toxicol Environ Health A. 2012;75(18):1129-53. doi: 10.1080/15287394.2012.699852.

Abstract

Concerns over the potential for multiwalled carbon nanotubes (MWCNT) to induce lung carcinogenesis have emerged. This study sought to (1) identify gene expression signatures in the mouse lungs following pharyngeal aspiration of well-dispersed MWCNT and (2) determine if these genes were associated with human lung cancer risk and progression. Genome-wide mRNA expression profiles were analyzed in mouse lungs (n = 160) exposed to 0, 10, 20, 40, or 80 μg of MWCNT by pharyngeal aspiration at 1, 7, 28, and 56 d postexposure. By using pairwise statistical analysis of microarray (SAM) and linear modeling, 24 genes were selected, which have significant changes in at least two time points, have a more than 1.5-fold change at all doses, and are significant in the linear model for the dose or the interaction of time and dose. Additionally, a 38-gene set was identified as related to cancer from 330 genes differentially expressed at d 56 postexposure in functional pathway analysis. Using the expression profiles of the cancer-related gene set in 8 mice at d 56 postexposure to 10 μg of MWCNT, a nearest centroid classification accurately predicts human lung cancer survival with a significant hazard ratio in training set (n = 256) and test set (n = 186). Furthermore, both gene signatures were associated with human lung cancer risk (n = 164) with significant odds ratios. These results may lead to development of a surveillance approach for early detection of lung cancer and prognosis associated with MWCNT in the workplace.

摘要

人们对多壁碳纳米管 (MWCNT) 引发肺癌的潜在可能性表示担忧。本研究旨在:(1) 鉴定经口吸入分散良好的 MWCNT 后小鼠肺部的基因表达特征,以及 (2) 确定这些基因是否与人类肺癌风险和进展相关。对经口吸入 0、10、20、40 或 80μg MWCNT 的小鼠肺部进行全基因组 mRNA 表达谱分析(n=160),在暴露后 1、7、28 和 56 天进行分析。通过使用微阵列的成对统计分析 (SAM) 和线性模型,选择了 24 个基因,这些基因在至少两个时间点有显著变化,在所有剂量下变化超过 1.5 倍,并且在剂量或时间和剂量的线性模型中具有统计学意义。此外,在功能途径分析中,在暴露后 56 天有 330 个基因差异表达,确定了一个与癌症相关的 38 个基因集。使用在暴露后 56 天经口吸入 10μg MWCNT 的 8 只小鼠的癌症相关基因集的表达谱,最近中心分类法准确地预测了人类肺癌的生存率,在训练集(n=256)和测试集(n=186)中均具有显著的危险比。此外,这两个基因特征均与人类肺癌风险(n=164)相关,具有显著的优势比。这些结果可能会导致开发一种监测方法,用于早期检测与 MWCNT 相关的肺癌和预后,并在工作场所中进行。

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