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通过呼气检测癌症:一项系统综述。

Detection of cancer through exhaled breath: a systematic review.

作者信息

Krilaviciute Agne, Heiss Jonathan Alexander, Leja Marcis, Kupcinskas Juozas, Haick Hossam, Brenner Hermann

机构信息

Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Faculty of Medicine, University of Latvia, Digestive Diseases Center GASTRO, and Riga East University Hospital, Riga, Latvia.

出版信息

Oncotarget. 2015 Nov 17;6(36):38643-57. doi: 10.18632/oncotarget.5938.

Abstract

BACKGROUND

Timely diagnosis of cancer represents a challenging task; in particular, there is a need for reliable non-invasive screening tools that could achieve high levels of adherence at virtually no risk in population-based screening. In this review, we summarize the current evidence of exhaled breath analysis for cancer detection using standard analysis techniques and electronic nose.

METHODS

Relevant studies were identified searching Pubmed and Web of Science databases until April 30, 2015. Information on breath test performance, such as sensitivity and specificity, was extracted together with volatile compounds that were used to discriminate cancer patients from controls. Performance of different breath analysis techniques is provided for various cancers together with information on methodological issues, such as breath sampling protocol and validation of the results.

RESULTS

Overall, 73 studies were included, where two-thirds of the studies were conducted on lung cancer. Good discrimination usually required a combination of multiple biomarkers, and area under the receiver operating characteristic curve or accuracy reached levels of 0.9 or higher in multiple studies. In 25% of the reported studies, classification models were built and validated on the same datasets. Huge variability was seen in different aspects among the studies.

CONCLUSIONS

Analyses of exhaled breath yielded promising results, although standardization of breath collection, sample storage and data handling remain critical issues. In order to foster breath analysis implementation into practice, larger studies should be implemented in true screening settings, paying particular attention to standardization in breath collection, consideration of covariates, and validation in independent population samples.

摘要

背景

癌症的及时诊断是一项具有挑战性的任务;特别是,需要可靠的非侵入性筛查工具,这些工具在基于人群的筛查中几乎没有风险且能实现高依从性。在本综述中,我们总结了使用标准分析技术和电子鼻进行呼出气分析以检测癌症的当前证据。

方法

通过检索PubMed和Web of Science数据库确定相关研究,检索截止至2015年4月30日。提取有关呼气测试性能的信息,如敏感性和特异性,以及用于区分癌症患者和对照的挥发性化合物。提供了针对各种癌症的不同呼气分析技术的性能,以及有关方法学问题的信息,如呼气采样方案和结果验证。

结果

总体而言,纳入了73项研究,其中三分之二的研究是针对肺癌进行的。良好的区分通常需要多种生物标志物相结合,在多项研究中受试者工作特征曲线下面积或准确率达到0.9或更高水平。在25%的报告研究中,分类模型是在相同数据集上构建和验证的。各项研究在不同方面存在巨大差异。

结论

呼出气分析取得了有前景的结果,尽管呼气收集、样本储存和数据处理的标准化仍然是关键问题。为了促进呼气分析在实际中的应用,应在真实筛查环境中开展更大规模的研究,尤其要注意呼气收集的标准化、协变量的考虑以及在独立人群样本中的验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4df/4770726/ca51b020e62e/oncotarget-06-38643-g001.jpg

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