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基于挥发性有机化合物的呼气测试用于癌症诊断的准确性和方法学挑战:系统评价和荟萃分析。

Accuracy and Methodologic Challenges of Volatile Organic Compound-Based Exhaled Breath Tests for Cancer Diagnosis: A Systematic Review and Meta-analysis.

机构信息

Department of Surgery and Cancer, Imperial College London, London, United Kingdom.

出版信息

JAMA Oncol. 2019 Jan 1;5(1):e182815. doi: 10.1001/jamaoncol.2018.2815. Epub 2019 Jan 10.

DOI:10.1001/jamaoncol.2018.2815
PMID:30128487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6439770/
Abstract

IMPORTANCE

The detection and quantification of volatile organic compounds (VOCs) within exhaled breath have evolved gradually for the diagnosis of cancer. The overall diagnostic accuracy of proposed tests remains unknown.

OBJECTIVES

To determine the diagnostic accuracy of VOC breath tests for the detection of cancer and to review sources of methodologic variability.

DATA SOURCES

An electronic search (title and abstract) was performed using the Embase and MEDLINE databases (January 1, 2000, to May 28, 2017) through the OVID platform. The search terms cancer, neoplasm, malignancy, volatile organic compound, VOC, breath, and exhaled were used in combination with the Boolean operators AND and OR. A separate MEDLINE search that used the search terms breath AND methodology was also performed for studies that reported factors that influenced the concentration of VOCs within exhaled breath in humans.

STUDY SELECTION

The search was limited to human studies published in the English language. Trials that analyzed named endogenous VOCs within exhaled breath to diagnose or assess cancer were included in this review.

DATA EXTRACTION AND SYNTHESIS

Systematic review and pooled analysis were conducted in accordance with the recommendations of the Cochrane Library and Meta-analysis of Observational Studies in Epidemiology guidelines. Bivariate meta-analyses were performed to generate pooled point estimates of the hierarchal summary receiver operating characteristic curve of breath VOC analysis. Included studies were assessed according to the Standards for Reporting of Diagnostic Accuracy Studies checklist and Quality Assessment of Diagnostic Accuracy Studies 2 tool.

MAIN OUTCOMES AND MEASURES

The principal outcome measure was pooled diagnostic accuracy of published VOC breath tests for cancer.

RESULTS

The review identified 63 relevant publications and 3554 patients. All reports constituted phase 1 biomarker studies. Pooled analysis of findings found a mean (SE) area under the receiver operating characteristic analysis curve of 0.94 (0.01), sensitivity of 79% (95% CI, 77%-81%), and specificity of 89% (95% CI, 88%-90%). Factors that may influence variability in test results included breath collection method, patient physiologic condition, test environment, and method of analysis.

CONCLUSIONS AND RELEVANCE

The findings of our review suggest that standardization of breath collection methods and masked validation of breath test accuracy for cancer diagnosis is needed among the intended population in multicenter clinical trials. We propose a framework to guide the conduct of future breath tests in cancer studies.

摘要

重要性

挥发性有机化合物(VOC)在呼气中的检测和定量分析已经逐渐发展成为癌症诊断的一种手段。但提出的检测方法的整体诊断准确性尚不清楚。

目的

确定用于检测癌症的 VOC 呼气测试的诊断准确性,并综述方法学差异的来源。

数据来源

采用 Embase 和 MEDLINE 数据库(通过 OVID 平台)进行电子检索(标题和摘要),检索时间截至 2017 年 5 月 28 日,检索词为“cancer”“neoplasm”“malignancy”“volatile organic compound”“VOC”“breath”和“exhaled”,并使用了布尔运算符 AND 和 OR 进行组合。还单独进行了一次 MEDLINE 检索,检索词为“breath”和“methodology”,以检索那些报道了影响人体呼气中 VOC 浓度的因素的研究。

研究选择

仅纳入以英语发表的人类研究。本综述纳入了分析呼气中内源性 VOC 以诊断或评估癌症的试验。

数据提取和综合

系统评价和汇总分析均按照 Cochrane 图书馆和观察性研究的荟萃分析中流行病学指南的建议进行。采用双变量 meta 分析生成分层综合受试者工作特征曲线的汇总点估计值。纳入的研究按照诊断准确性研究报告标准和诊断准确性研究质量评估 2 工具进行评估。

主要结局和测量指标

主要结局指标是已发表的 VOC 呼气测试用于癌症的汇总诊断准确性。

结果

本综述共确定了 63 项相关文献和 3554 例患者。所有报告均为 1 期生物标志物研究。汇总分析结果显示,受试者工作特征曲线下面积的均值(SE)为 0.94(0.01),敏感度为 79%(95%CI,77%81%),特异度为 89%(95%CI,88%90%)。可能影响测试结果变异性的因素包括呼气采集方法、患者生理状况、测试环境和分析方法。

结论和相关性

本研究结果表明,需要在多中心临床试验中针对目标人群对呼气采集方法进行标准化,并对癌症诊断用呼气测试的准确性进行盲法验证。我们提出了一个框架来指导未来癌症研究中呼气测试的开展。

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Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm.使用支持向量机算法从肺癌患者呼气中的挥发性有机化合物进行诊断。
Sensors (Basel). 2017 Feb 4;17(2):287. doi: 10.3390/s17020287.
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Exhaled breath and oral cavity VOCs as potential biomarkers in oral cancer patients.呼出气体和口腔挥发性有机化合物作为口腔癌患者潜在的生物标志物。
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BMJ Open. 2016 Nov 14;6(11):e012799. doi: 10.1136/bmjopen-2016-012799.
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Comparison of volatile organic compounds from lung cancer patients and healthy controls-challenges and limitations of an observational study.肺癌患者与健康对照者挥发性有机化合物的比较——一项观察性研究的挑战与局限
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