Detection of Lung Cancer Risks for Serum Metabolomics

血清代谢组学检测肺癌风险

• 批准号: 7787700
• 负责人: Leo L Cheng
• 金额: $ 24.77万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7787700
• 关键词: Adenocarcinoma; Biochemistry; Biological; Blood; Blood Tests; Blood specimen; Cancer Control; Cancer Detection; Cancer Intervention and Surveillance Modeling Network; Cancer Patient; Cancerous; Cardiac Output; Clinic; Clinical; Coupled; Data; Detection; Development; Diagnosis; Disease; Eligibility Determination; Future; General Population; Genomics; Goals; Histopathology; Knowledge; Lesion; Lung; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Malignant Neoplasms; Malignant neoplasm of lung; Measures; Metabolic; Methods; Modeling; Monitor; Non-Small-Cell Lung Carcinoma; Pathology; Patients; Positron-Emission Tomography; Reading; Reporting; Research; Resources; Risk; Sampling; Screening procedure; Sensitivity and Specificity; Serum; Specimen; Squamous cell carcinoma; Staging; Structure of parenchyma of lung; Survival Rate; Symptoms; Techniques; Testing; Time; Tissues; base; cancer proteomics; cancer risk; cancer type; clinical application; cost; design; disorder control; economic outcome; health economics; innovation; lung cancer screening; member; metabolomics; mortality; prevent; public health relevance; research study; success; tool

DESCRIPTION (provided by applicant): The alarmingly high lung cancer mortality rate is due mostly to the lack of effective screening protocols for the general public that can detect and diagnose the condition at early and asymptomatic stages. Current radiological examinations, including CT, MRI, and PET, can detect lesions in the lungs; however, their extremely high costs coupled with their unproven efficacies as screening tools have prevented their use in annual screening protocols for the general public. Analyses of blood samples may be a practical and acceptable resource for advancements in lung cancer screening that can advise patients with suspicious readings to seek immediate further radiological tests. In the era of genomics and proteomics, cancer metabolomics collectively evaluate the biological statuses of global metabolite alterations related to malignancy development and progression. Metabolomic profiles measured from cancerous tissues have shown better sensitivity in assessing patient clinical conditions than current histopathology. The aim of the proposed project is to establish lung cancer specific blood serum metabolomic profiles with enough sensitivity and specificity to indicate the necessity for further radiological tests. In this preliminary and exploratory study, we will analyze paired tissue and serum specimens from the same lung cancer patients by using a magnetic resonance spectroscopy method that we developed for intact specimen analyses, search and discover lung cancer tissue metabolomic profiles in connection with tissue pathologies, apply the parameters of these metabolomic profiles obtained from tissue to their corresponding serum spectroscopic data, and test these calculated serum profiles for their ability to identify and group cancer patients. The project is designed to test the hypothesis that serum metabolomic profiles calculated from tissue metabolomic profiles and corrected by quantitative tissue pathologies may have clinical applicability as an early lung cancer screening test for the general public prior to the development of disease symptoms. The specific aims of the project are: 1) To establish serum metabolomic profiles according to tissue metabolomic profiles measured from the same patients for SCC and adenocarcinoma; and 2) to evaluate the sensitivity and specificity of the established serum metabolite profiles for detection and categorization of lung cancers from these patients, and assess and evaluate the clinical utility of the researched lung cancer serum metabolomic marker for screening, using a model from the NCI's Cancer Intervention and Surveillance Modeling Network (CISNET). PUBLIC HEALTH RELEVANCE: This is an exploratory study of paired tissue and serum samples from various lung cancer patients. If successful, annual screening of serum metabolomic profiles established through the initiatives of this project will direct patients with suspicious serum profiles to advanced and expensive radiological tests to detect lung cancers at early and asymptomatic stages, and in turn increase overall patient survival rates and change the paradigm of current oncological clinics.

描述（由申请人提供）：肺癌死亡率高得惊人，主要是由于缺乏有效的筛查方案，可以在早期和无症状阶段检测和诊断病情。目前的放射学检查，包括CT，MRI和PET，可以检测肺部病变;然而，其极高的成本加上其未经证实的有效性作为筛查工具，阻止了其在公众年度筛查方案中的使用。血液样本的分析可能是肺癌筛查进展的一个实用和可接受的资源，可以建议可疑读数的患者立即寻求进一步的放射性检查。在基因组学和蛋白质组学的时代，癌症代谢组学共同评估与恶性肿瘤发展和进展相关的总体代谢物改变的生物学状态。从癌组织测量的代谢组学谱在评估患者临床状况方面显示出比当前组织病理学更好的灵敏度。该项目的目的是建立具有足够灵敏度和特异性的肺癌特异性血清代谢组学谱，以表明进一步放射学检测的必要性。在这项初步和探索性的研究中，我们将使用我们开发的用于完整标本分析的磁共振光谱方法分析来自同一肺癌患者的配对组织和血清标本，搜索和发现与组织病理学相关的肺癌组织代谢组学谱，将从组织获得的这些代谢组学谱的参数应用于其相应的血清光谱数据，并测试这些计算出的血清谱用于识别和分组癌症患者的能力。该项目的目的是测试的假设，从组织代谢组学谱计算和定量组织病理学校正的血清代谢组学谱可能有临床适用性作为早期肺癌筛查测试的一般公众之前的疾病症状的发展。该项目的具体目标是：1）根据从同一SCC和腺癌患者中测量的组织代谢组学谱建立血清代谢组学谱;和2）评价所建立的血清代谢物谱用于检测和分类这些患者的肺癌的灵敏度和特异性，使用NCI癌症干预和监测模型网络（CISNET）的模型，评估和评价所研究的肺癌血清代谢组学标记物用于筛查的临床效用。 公共卫生相关性：这是一项对来自不同肺癌患者的配对组织和血清样本的探索性研究。如果成功的话，通过该项目的倡议建立的血清代谢谱的年度筛查将指导血清谱可疑的患者进行先进和昂贵的放射性检查，以在早期和无症状阶段发现肺癌，从而提高患者的总体生存率并改变当前肿瘤诊所的模式。