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运用代谢组学的癌症流行病学研究的特征:范围综述。

Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.

机构信息

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.

出版信息

Cancer Epidemiol Biomarkers Prev. 2023 Sep 1;32(9):1130-1145. doi: 10.1158/1055-9965.EPI-23-0045.

Abstract

An increasing number of cancer epidemiology studies use metabolomics assays. This scoping review characterizes trends in the literature in terms of study design, population characteristics, and metabolomics approaches and identifies opportunities for future growth and improvement. We searched PubMed/MEDLINE, Embase, Scopus, and Web of Science: Core Collection databases and included research articles that used metabolomics to primarily study cancer, contained a minimum of 100 cases in each main analysis stratum, used an epidemiologic study design, and were published in English from 1998 to June 2021. A total of 2,048 articles were screened, of which 314 full texts were further assessed resulting in 77 included articles. The most well-studied cancers were colorectal (19.5%), prostate (19.5%), and breast (19.5%). Most studies used a nested case-control design to estimate associations between individual metabolites and cancer risk and a liquid chromatography-tandem mass spectrometry untargeted or semi-targeted approach to measure metabolites in blood. Studies were geographically diverse, including countries in Asia, Europe, and North America; 27.3% of studies reported on participant race, the majority reporting White participants. Most studies (70.2%) included fewer than 300 cancer cases in their main analysis. This scoping review identified key areas for improvement, including needs for standardized race and ethnicity reporting, more diverse study populations, and larger studies.

摘要

越来越多的癌症流行病学研究使用代谢组学检测方法。本范围综述从研究设计、人群特征和代谢组学方法等方面描述了文献中的趋势,并确定了未来增长和改进的机会。我们在 PubMed/MEDLINE、Embase、Scopus 和 Web of Science: Core Collection 数据库中进行了检索,并纳入了主要使用代谢组学研究癌症、每个主要分析层至少包含 100 例病例、采用流行病学研究设计且发表于 1998 年至 2021 年 6 月的英文研究文章。共筛选出 2048 篇文章,其中 314 篇全文进一步评估,最终纳入 77 篇文章。研究最多的癌症是结直肠癌(19.5%)、前列腺癌(19.5%)和乳腺癌(19.5%)。大多数研究采用巢式病例对照设计来估计个体代谢物与癌症风险之间的关联,并采用液相色谱-串联质谱非靶向或半靶向方法来测量血液中的代谢物。研究具有地域多样性,包括亚洲、欧洲和北美的国家;27.3%的研究报告了参与者的种族,其中大多数报告的是白人参与者。大多数研究(70.2%)在其主要分析中纳入的癌症病例少于 300 例。本范围综述确定了需要改进的关键领域,包括需要标准化的种族和民族报告、更多样化的研究人群以及更大规模的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d4b/10472112/c6d36e6b367c/1130fig1.jpg

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