Global metabolomics profiling, dietary factors, and colorectal cancer risk in the NIH-Consortium of Metabolomics Studies (COMETS)

NIH 代谢组学研究联盟 (COMETS) 中的全球代谢组学分析、饮食因素和结直肠癌风险

• 批准号: 10435760
• 负责人: Jennifer Ose
• 金额: $ 7.63万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-14 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10435760
• 关键词: Address; Advisory Committees; Age; Alcohols; Asia; Biological Assay; Biological Markers; Biology; Blood; Blood specimen; Body mass index; Cancer Etiology; Chemicals; Clinical; Clinical Data; Collection; Colon; Colorectal Cancer; Consumption; Data; Data Set; Diagnosis; Diagnostic; Diet; Dietary Factors; Dietary Fiber; Dietary intake; Disease; Ensure; Environment; Etiology; Europe; Female; Fishes; Food; Frequencies; Funding; Future; Goals; Heterogeneity; In Vitro; Incidence; Investigation; Laboratories; Link; Lipids; Location; Logistic Regressions; Malignant Neoplasms; Measurement; Mediating; Mediation; Metabolic; Metabolic Pathway; Metadata; Methods; Modeling; Names; Nested Case-Control Study; Nutritional; Obesity; Pathway interactions; Patient Self-Report; Physical activity; Play; Population; Population Heterogeneity; Preparation; Prevalence; Preventive service; Processed Meats; Prospective Studies; Prospective cohort; Prospective cohort study; Public Health; Publishing; Questionnaires; Rectum; Research; Risk; Risk Factors; Role; Sex Differences; Site; Smoking; Standardization; Statistical Data Interpretation; Subgroup; Testing; Time; United States; United States National Institutes of Health; Validation; Vegetables; Work; anticancer research; aqueous; base; blood-based biomarker; cancer biomarkers; cancer diagnosis; case control; clinical application; cohort; colorectal cancer prevention; colorectal cancer risk; design; diet and cancer; dietary; epidemiologic data; experience; improved; in vivo; innovation; lifestyle factors; liquid chromatography mass spectrometry; male; metabolomics; novel; novel marker; prospective; risk prediction; screening; sex; stem; study population; tumor

Summary The prevalence of colorectal cancer (CRC) continues to increase worldwide and it remains the third most commonly diagnosed cancer in the United States. An enhanced understanding of CRC etiology is essential to develop tailored risk prediction methods. Metabolomics, the comprehensive study of small metabolites, is a promising approach to discover etiological biomarkers for CRC. Metabolomics analysis in combination with information on dietary intake could be used for the identification of objective dietary biomarkers for CRC. However, precise metabolic biomarkers to predict CRC are missing. To date, there are no objective dietary biomarkers for CRC risk and the biology underlying the relationship between diet and CRC remains poorly understood. The goal of the proposed work is to investigate associations of metabolites with CRC risk and to enhance our understanding of the underlying biology of the diet-CRC relationship. To achieve this goal, we will use existing global metabolomics data generated in three state-of-the art laboratories using pre-diagnosis biospecimens from eight independent, prospective cohorts from the US, Europe, and Asia. These well- annotated and unique datasets include data from n=3,085 matched case-control pairs from diverse populations, and thus ensure broad generalizability and clinical applicability of identified biomarkers. Data are integrated in the NIH-funded Consortium of Metabolomics Studies (COMETS) together with standardized and validated food frequency questionnaires (FFQ), and epidemiologic and clinical data. We will discover and validate novel blood-based metabolic biomarkers for CRC risk (Aim 1) in a discovery set of n=1,900 matched case-control pairs. Findings will be confirmed in an independent validation set including n=1,185 matched case-control pairs. Additionally, we will perform stratified analyses by sex, tumor location, and age at diagnosis to advance our understanding of CRC etiology across distinct subtypes. Using the described datasets, we will discover and validate correlations of food groups with metabolites. We will perform mediation analysis for the top performing diet-metabolite correlations to investigate the indirect effect of diet on CRC risk through metabolites (Aim 2). The proposed research is highly innovative in that it uses a rigorous multi-step design, employs for the first time a broad set of metabolic biomarkers (n~381) and dietary information, from highly characterized cohorts with biospecimens and questionnaires collected before cancer diagnosis, thus, protecting against reverse causation. Our interdisciplinary team has extensive experience in using metabolomics in cancer research and leverages substantial preliminary data. We expect that our investigation will discover and validate novel CRC biomarkers and enhance our understanding of the underlying biology of diet in CRC etiology, thus addressing a clearly defined clinical and public health need.

概括 结直肠癌（CRC）的患病率在全球范围内继续增加，它仍然是第三大的 在美国通常被诊断出癌症。对CRC病因的增强理解对于 开发量身定制的风险预测方法。代谢组是小型代谢产物的综合研究，是一种 发现CRC的病因生物标志物的有前途的方法。代谢组学分析与 有关饮食摄入量的信息可用于鉴定CRC的客观饮食生物标志物。 但是，缺少用于预测CRC的精确代谢生物标志物。迄今为止，没有客观的饮食 CRC风险的生物标志物和饮食与CRC之间关系的生物学仍然很差 理解。 拟议工作的目的是调查代谢物与CRC风险的关联并增强 我们对Diet-CRC关系的潜在生物学的理解。为了实现这一目标，我们将使用 使用前诊断在三个最先进的实验室中产生的现有全球代谢组学数据 来自美国，欧洲和亚洲的八个独立，潜在人群的生物测量。这些 带注释和唯一的数据集包括来自n = 3,085的匹配的案例对照对的数据。 人群，从而确保已确定的生物标志物的广泛概括和临床适用性。数据是 集成在NIH资助的代谢组学研究（彗星）中，以及标准化和 经过验证的食品频率问卷（FFQ）以及流行病学和临床数据。我们会发现并 在发现n = 1,900的发现集中验证CRC风险的新型血液代谢生物标志物（AIM 1） 匹配的情况对照对。调查结果将在独立验证集中确认，包括n = 1,185 匹配的情况对照对。此外，我们将按性别，肿瘤位置和年龄进行分层分析 诊断以促进我们对不同亚型CRC病因的理解。使用所描述的 数据集，我们将发现并验证食品群与代谢产物的相关性。我们将表演 最高表现饮食代谢物相关性的调解分析以研究间接效应 通过代谢物进行CRC风险的饮食（AIM 2）。拟议的研究具有很高的创新性 严格的多步设计，首次采用了广泛的代谢生物标志物（N〜381）和饮食 信息，来自癌症之前收集的生物测量和问卷的高度特征的人群 因此，诊断可以防止反向因果关系。我们的跨学科团队在 在癌症研究中使用代谢组学并利用大量的初步数据。我们期望我们的 调查将发现并验证新颖的CRC生物标志物，并增强我们对 CRC病因中的饮食生物学基本生物学，从而满足了明确定义的临床和公共卫生需求。