Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Department of Radiology, Houston Methodist Research Institute, Houston, Texas.
Cancer Prev Res (Phila). 2017 Oct;10(10):588-597. doi: 10.1158/1940-6207.CAPR-17-0198. Epub 2017 Aug 29.
Smoking is a major risk factor for the development of bladder cancer; however, the functional consequences of the carcinogens in tobacco smoke and bladder cancer-associated metabolic alterations remain poorly defined. We assessed the metabolic profiles in bladder cancer smokers and non-smokers and identified the key alterations in their metabolism. LC/MS and bioinformatic analysis were performed to determine the metabolome associated with bladder cancer smokers and were further validated in cell line models. Smokers with bladder cancer were found to have elevated levels of methylated metabolites, polycyclic aromatic hydrocarbons, DNA adducts, and DNA damage. DNA methyltransferase 1 (DNMT1) expression was significantly higher in smokers than non-smokers with bladder cancer. An integromics approach, using multiple patient cohorts, revealed strong associations between smokers and high-grade bladder cancer. exposure to the tobacco smoke carcinogens, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone and benzo[a]pyrene (BaP) led to increase in levels of methylated metabolites, DNA adducts, and extensive DNA damage in bladder cancer cells. Cotreatment of bladder cancer cells with these carcinogens and the methylation inhibitor 5-aza-2'-deoxycytidine rewired the methylated metabolites, DNA adducts, and DNA damage. These findings were confirmed through the isotopic-labeled metabolic flux analysis. Screens using smoke-associated metabolites and DNA adducts could provide robust biomarkers and improve individual risk prediction in bladder cancer smokers. Noninvasive predictive biomarkers that can stratify the risk of developing bladder cancer in smokers could aid in early detection and treatment. .
吸烟是膀胱癌发展的主要危险因素;然而,烟草烟雾中的致癌物和膀胱癌相关代谢改变的功能后果仍不清楚。我们评估了膀胱癌吸烟者和非吸烟者的代谢谱,并确定了他们代谢的关键改变。采用 LC/MS 和生物信息学分析方法来确定与膀胱癌吸烟者相关的代谢组,并在细胞系模型中进一步验证。结果发现,膀胱癌吸烟者的甲基化代谢物、多环芳烃、DNA 加合物和 DNA 损伤水平升高。与膀胱癌非吸烟者相比,吸烟者的 DNA 甲基转移酶 1(DNMT1)表达明显更高。使用多个患者队列的整合组学方法,发现吸烟者与高级别膀胱癌之间存在强烈关联。暴露于烟草烟雾致癌物 4-(甲基亚硝氨基)-1-(3-吡啶基)-1-丁酮和苯并[a]芘(BaP)会导致膀胱癌细胞中甲基化代谢物、DNA 加合物和广泛的 DNA 损伤水平增加。用这些致癌物和甲基化抑制剂 5-氮杂-2'-脱氧胞苷共同处理膀胱癌细胞,会重新布线甲基化代谢物、DNA 加合物和 DNA 损伤。通过同位素标记代谢通量分析证实了这些发现。使用与烟雾相关的代谢物和 DNA 加合物进行筛选,可以提供强大的生物标志物,并改善膀胱癌吸烟者的个体风险预测。非侵入性的预测生物标志物可以对吸烟者中膀胱癌的发展风险进行分层,有助于早期发现和治疗。