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唾液代谢组学用于癌症检测。

Salivary metabolomics for cancer detection.

机构信息

Research and Development Centre for Minimally Invasive Therapies, Medical Research Institute, Tokyo Medical University , Tokyo, Japan.

Institute for Advanced Biosciences, Keio University , Yamagata, Japan.

出版信息

Expert Rev Proteomics. 2020 Sep;17(9):639-648. doi: 10.1080/14789450.2020.1846524. Epub 2020 Nov 12.

Abstract

: Saliva is an ideal biofluid that can be collected in a noninvasive manner, enabling safe and frequent screening of various diseases. Recent studies have revealed that salivary metabolomics analysis has the potential to detect both oral and systemic cancers. : We reviewed the technical aspects, as well as applications, of salivary metabolomics for cancer detection. The topics include the effects of preconditioning and the method of sample collection, sample storage, processing, measurement, data analysis, and validation of the results. We also examined the rational relationship between salivary biomarkers and tumors distant from the oral cavity. A strategy to establish standard operating protocols for obtaining reproducible quantification data is also discussed : Salivary metabolomics reflects oral and systematic health status, which potently enables cancer detection. The sensitivity and specificity of each marker and their combinations have been well evaluated, but a validation study is required. Further, the standard operating protocol for each procedure should be established to obtain reproducible data before clinical usage.

摘要

唾液是一种理想的生物体液,可通过非侵入性方式收集,从而安全、频繁地筛查各种疾病。最近的研究表明,唾液代谢组学分析有可能检测口腔和全身癌症。

我们综述了唾液代谢组学在癌症检测方面的技术方面和应用,包括预处理的影响和样本采集、样本储存、处理、测量、数据分析以及结果验证的方法。我们还研究了唾液生物标志物与远离口腔的肿瘤之间的合理关系。还讨论了建立用于获得可重复定量数据的标准操作协议的策略。

唾液代谢组学反映了口腔和全身的健康状况,有力地促进了癌症的检测。每个标志物及其组合的灵敏度和特异性已得到很好的评估,但需要进行验证研究。此外,在临床应用之前,应建立每个步骤的标准操作协议,以获得可重复的数据。

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