IDENTIFICATION OF BIOCHEMICAL MARKERS IN SMOKERS BREATH

吸烟者呼吸中生化标记物的鉴定

• 批准号: 3422858
• 负责人: Sydney Michael Gordon
• 金额: $ 3.5万
• 依托单位: IIT RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 1986
• 资助国家: 美国
• 起止时间: 1986-08-01 至 1988-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3422858
• 关键词: benzene; cancer risk; environment related neoplasm /cancer; genetic markers; lung neoplasms; smoke inhalation; tobacco abuse prevention

Cancer Problem: Cessation of smoking substantially decreases the risk of lung cancer among smokers, but the benefits of programs aimed at reducing smoking are sometimes difficult to assess. Self-reported smoking behavior is often unreliable; independent biochemical verification is necessary to validate survey data and monitor compliance. Cancer Control Hypothesis: Our basic hypothesis is that the exhaled breath of smokers contains volatile organic compounds (VOCs) that can be used to determine smoker status. A recent study in which we participated has found that benzene concentration in the exhaled breath of smokers is substantially higher than that of nonsmokers. The data were generated as part of the TEAM (Total Exposure Assessment Methodology) study, which measured human exposure to VOCs in the breath of a group of subjects in New Jersey. Although data were obtained on 100-200 volatile constituents in the breath of each participant, the TEAM study focused on only 20 preselected compounds (including benzene), and ignored the remaining measured volatiles in the breath. We plan to evaluate a subset of the complete data base (69 samples) to test our hypothesis. Proposed Cancer Control Intervention: The ultimate objective of this research program is to develop a noninvasive detector to validate compliance with smoking intervention strategies, using volatile organic constituents in expired air. Cancer Control Research Phase: In the exploratory study proposed here, the raw GC/MS data will be conditioned first using a set of special computer algorithms. Thereafter, all the variables (GC/MS peaks) will be screened both individually and in combination for statistical significance using one-way analysis of variance and stepwise discriminant function analysis. If a variable or linear combination of variables appears to be significant, we will conclude that it provides a basis for distinguishing between smokers and nonsmokers. Normally, a study designed especially to obtain such information would be very costly. The fact that the data base is already available is clearly a great advantage, since the major costs associated with generating the raw data have already been incurred.

癌症问题：戒烟可大幅降低患癌症的风险 吸烟者中的肺癌，但旨在减少吸烟的计划的好处 吸烟有时很难评估。自我报告的吸烟行为 通常是不可靠的；独立的生化验证是必要的 验证调查数据并监控合规性。 癌症控制假说：我们的基本假说是呼气 含有挥发性有机化合物(VOC)，可用于 确定吸烟者状态。我们最近参与的一项研究发现 吸烟者呼气中的苯浓度是 比不吸烟的人高出很多。数据是这样生成的 团队(全面暴露评估方法)研究的一部分， 纽约一组受试者呼吸中VOCs的测量结果 泽西岛。尽管获得了关于100-200种挥发性成分的数据 每个参与者的呼吸，团队研究只关注了20个 预先选择的化合物(包括苯)，并忽略剩余的 在呼吸中测量到挥发物。我们计划评估一个子集 完整的数据库(69个样本)来检验我们的假设。 拟议的癌症控制干预：这项研究的最终目标 研究计划是开发一种非侵入性检测器来验证 遵守吸烟干预策略，使用挥发性有机化合物 呼出的空气中的成分。 癌症控制研究阶段：在这里提出的探索性研究中， 原始的GC/MS数据将首先使用一套专用计算机进行处理 算法。此后，将对所有变量(GC/MS峰)进行筛选 对于统计意义，单独和组合使用 单因素方差分析和逐步判别函数分析。 如果变量或变量的线性组合看起来很重要， 我们将得出结论，它为区分 吸烟者和不吸烟者。 通常，一项专门为获得此类信息而设计的研究将是 非常昂贵。数据库已经可用这一事实显然是一个 巨大的优势，因为与生产原始能源相关的主要成本 数据已经产生了。