Pesticides pivotal in controlling pests, can represent a threat for human health. Regulatory agencies constantly monitor their harmful effects, regulating their use. Several studies support a positive association between long-term exposure to pesticides and chronic pathologies, such as cancer. Geno-toxicological biomonitoring has proven to be valuable to assess genetic risks associated with exposure to pesticides, representing a promising tool to improve preventive measures and identify workers at higher risk. In this study, a differential gene expression analysis of 70 candidate genes deregulated upon pesticide exposure, was performed in 10 GEO human gene expression DataSets. It was found that six genes (PMAIP1, GCLM, CD36, SQSTM1, ABCC3, NR4A2) had significant AUC predictive values. Also, CD36 was upregulated in non-transformed cell samples and healthy workers, but downregulated in cancer cells. Further validation in larger groups of workers will corroborate the importance of the identified candidates as biomarkers of exposure/effect.

中文翻译：

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农药暴露对正常和癌症样本中选定基因表达的影响：鉴定用于风险评估的预测生物标志物


农药对于控制害虫至关重要，可能对人类健康构成威胁。监管机构不断监测其有害影响，规范其使用。多项研究支持长期接触农药与癌症等慢性疾病之间存在正相关关系。基因毒理学生物监测已被证明对于评估与接触农药相关的遗传风险很有价值，是改进预防措施和识别高风险工人的有前途的工具。在这项研究中，在 10 个 GEO 人类基因表达数据集中对 70 个农药暴露后失调的候选基因进行了差异基因表达分析。结果发现，6个基因（PMAIP1、GCLM、CD36、SQSTM1、ABCC3、NR4A2）具有显着的AUC预测值。此外，CD36 在非转化细胞样本和健康工人中表达上调，但在癌细胞中表达下调。在更大的工人群体中进行的进一步验证将证实已确定的候选者作为暴露/效应生物标志物的重要性。