Wikoff William R, Grapov Dmitry, Fahrmann Johannes F, DeFelice Brian, Rom William N, Pass Harvey I, Kim Kyoungmi, Nguyen UyenThao, Taylor Sandra L, Gandara David R, Kelly Karen, Fiehn Oliver, Miyamoto Suzanne
University of California, Davis Genome Center, Davis, California.
Division of Pulmonary, Critical Care and Sleep, New York University, School of Medicine New York, New York.
Cancer Prev Res (Phila). 2015 May;8(5):410-8. doi: 10.1158/1940-6207.CAPR-14-0329. Epub 2015 Feb 5.
Adenocarcinoma, a type of non-small cell lung cancer, is the most frequently diagnosed lung cancer and the leading cause of lung cancer mortality in the United States. It is well documented that biochemical changes occur early in the transition from normal to cancer cells, but the extent to which these alterations affect tumorigenesis in adenocarcinoma remains largely unknown. Herein, we describe the application of mass spectrometry and multivariate statistical analysis in one of the largest biomarker research studies to date aimed at distinguishing metabolic differences between malignant and nonmalignant lung tissue. Gas chromatography time-of-flight mass spectrometry was used to measure 462 metabolites in 39 malignant and nonmalignant lung tissue pairs from current or former smokers with early stage (stage IA-IB) adenocarcinoma. Statistical mixed effects models, orthogonal partial least squares discriminant analysis and network integration, were used to identify key cancer-associated metabolic perturbations in adenocarcinoma compared with nonmalignant tissue. Cancer-associated biochemical alterations were characterized by (i) decreased glucose levels, consistent with the Warburg effect, (ii) changes in cellular redox status highlighted by elevations in cysteine and antioxidants, alpha- and gamma-tocopherol, (iii) elevations in nucleotide metabolites 5,6-dihydrouracil and xanthine suggestive of increased dihydropyrimidine dehydrogenase and xanthine oxidoreductase activity, (iv) increased 5'-deoxy-5'-methylthioadenosine levels indicative of reduced purine salvage and increased de novo purine synthesis, and (v) coordinated elevations in glutamate and UDP-N-acetylglucosamine suggesting increased protein glycosylation. The present study revealed distinct metabolic perturbations associated with early stage lung adenocarcinoma, which may provide candidate molecular targets for personalizing therapeutic interventions and treatment efficacy monitoring.
腺癌是一种非小细胞肺癌,是美国最常被诊断出的肺癌类型,也是肺癌死亡的主要原因。有充分的文献记载,在从正常细胞向癌细胞转变的早期会发生生化变化,但这些改变在腺癌肿瘤发生过程中的影响程度仍 largely 未知。在此,我们描述了质谱分析和多变量统计分析在一项迄今为止最大的生物标志物研究中的应用,该研究旨在区分恶性和非恶性肺组织之间的代谢差异。气相色谱飞行时间质谱用于测量来自患有早期(IA - IB 期)腺癌的现吸烟者或既往吸烟者的 39 对恶性和非恶性肺组织中的 462 种代谢物。统计混合效应模型、正交偏最小二乘判别分析和网络整合被用于识别与非恶性组织相比腺癌中关键的癌症相关代谢扰动。癌症相关的生化改变表现为:(i)葡萄糖水平降低,与瓦伯格效应一致;(ii)细胞氧化还原状态的变化,表现为半胱氨酸以及抗氧化剂α - 和γ - 生育酚水平升高;(iii)核苷酸代谢物 5,6 - 二氢尿嘧啶和黄嘌呤水平升高,提示二氢嘧啶脱氢酶和黄嘌呤氧化还原酶活性增加;(iv)5'-脱氧-5'-甲硫基腺苷水平升高,表明嘌呤补救减少和从头嘌呤合成增加;(v)谷氨酸和 UDP - N - 乙酰葡糖胺协同升高,提示蛋白质糖基化增加。本研究揭示了与早期肺腺癌相关的独特代谢扰动,这可能为个性化治疗干预和治疗效果监测提供候选分子靶点。