呼出气体中的挥发性有机化合物:准确区分肺腺癌和鳞癌的有效方法

IF 3.7 4区 医学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of breath research Pub Date : 2024-08-05 DOI:10.1088/1752-7163/ad6474
Xian Li, Lin Shi, Yijing Long, Chunyan Wang, Cheng Qian, Wenwen Li, Yonghui Tian, Yixiang Duan
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引用次数: 0

摘要

肺癌亚型鉴定,尤其是腺癌(ADC)与鳞癌(SCC)的鉴别,对于临床医生制定有效的治疗策略至关重要。本研究旨在:(i) 发现用于精确诊断 ADC 和 SCC 的挥发性有机化合物生物标志物;(ii) 研究风险因素对 ADC 和 SCC 预测的影响;(iii) 探索挥发性有机化合物生物标志物的代谢途径。气相色谱-质谱法(GC-MS)分析了 ADC 患者(149 人)和 SCC 患者(94 人)的呼气样本。采用多变量和单变量统计分析方法确定挥发性有机化合物生物标志物。根据这些挥发性有机化合物生物标志物建立并验证了支持向量机(SVM)预测模型。研究了风险因素对 ADC 和 SCC 预测的影响。研究发现,13 种挥发性有机化合物在 ADC 和 SCC 之间存在显著差异。利用 SVM 算法,VOC 生物标记物在训练集上的特异性达到 90.48%,灵敏度达到 83.50%,AUC 值达到 0.958。在验证集上,这些 VOC 生物标记物的灵敏度和特异度分别达到了 85.71% 和 73.08%,AUC 值为 0.875。临床风险因素对 ADC 和 SCC 预测具有一定的预测能力。将这些风险因素整合到基于挥发性有机化合物生物标志物的预测模型中可提高其预测准确性。这项研究表明,呼出气体具有精确检测 ADC 和 SCC 的潜力。在区分这两种亚型时,考虑临床风险因素至关重要。
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Volatile organic compounds in exhaled breath: a promising approach for accurate differentiation of lung adenocarcinoma and squamous cell carcinoma.

Lung cancer subtyping, particularly differentiating adenocarcinoma (ADC) from squamous cell carcinoma (SCC), is paramount for clinicians to develop effective treatment strategies. In this study, we aimed: (i) to discover volatile organic compound (VOC) biomarkers for precise diagnosis of ADC and SCC, (ii) to investigated the impact of risk factors on ADC and SCC prediction, and (iii) to explore the metabolic pathways of VOC biomarkers. Exhaled breath samples from patients with ADC (n= 149) and SCC (n= 94) were analyzed by gas chromatography-mass spectrometry. Both multivariate and univariate statistical analysis method were employed to identify VOC biomarkers. Support vector machine (SVM) prediction models were developed and validated based on these VOC biomarkers. The impact of risk factors on ADC and SCC prediction was investigated. A panel of 13 VOCs was found to differ significantly between ADC and SCC. Utilizing the SVM algorithm, the VOC biomarkers achieved a specificity of 90.48%, a sensitivity of 83.50%, and an area under the curve (AUC) value of 0.958 on the training set. On the validation set, these VOC biomarkers attained a predictive power of 85.71% for sensitivity and 73.08% for specificity, along with an AUC value of 0.875. Clinical risk factors exhibit certain predictive power on ADC and SCC prediction. Integrating these risk factors into the prediction model based on VOC biomarkers can enhance its predictive accuracy. This work indicates that exhaled breath holds the potential to precisely detect ADCs and SCCs. Considering clinical risk factors is essential when differentiating between these two subtypes.

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来源期刊
Journal of breath research
Journal of breath research BIOCHEMICAL RESEARCH METHODS-RESPIRATORY SYSTEM
CiteScore
7.60
自引率
21.10%
发文量
49
审稿时长
>12 weeks
期刊介绍: Journal of Breath Research is dedicated to all aspects of scientific breath research. The traditional focus is on analysis of volatile compounds and aerosols in exhaled breath for the investigation of exogenous exposures, metabolism, toxicology, health status and the diagnosis of disease and breath odours. The journal also welcomes other breath-related topics. Typical areas of interest include: Big laboratory instrumentation: describing new state-of-the-art analytical instrumentation capable of performing high-resolution discovery and targeted breath research; exploiting complex technologies drawn from other areas of biochemistry and genetics for breath research. Engineering solutions: developing new breath sampling technologies for condensate and aerosols, for chemical and optical sensors, for extraction and sample preparation methods, for automation and standardization, and for multiplex analyses to preserve the breath matrix and facilitating analytical throughput. Measure exhaled constituents (e.g. CO2, acetone, isoprene) as markers of human presence or mitigate such contaminants in enclosed environments. Human and animal in vivo studies: decoding the ''breath exposome'', implementing exposure and intervention studies, performing cross-sectional and case-control research, assaying immune and inflammatory response, and testing mammalian host response to infections and exogenous exposures to develop information directly applicable to systems biology. Studying inhalation toxicology; inhaled breath as a source of internal dose; resultant blood, breath and urinary biomarkers linked to inhalation pathway. Cellular and molecular level in vitro studies. Clinical, pharmacological and forensic applications. Mathematical, statistical and graphical data interpretation.
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