Smirnova Ekaterina, Mallow Christopher, Muschelli John, Shao Yuan, Thiboutot Jeffrey, Lam Andres, Rule Ana M, Crainiceanu Ciprian, Yarmus Lonny
Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Division of Pulmonary and Critical Care Medicine, University of Miami, Miami, FL, USA.
Transl Lung Cancer Res. 2022 Jun;11(6):1009-1018. doi: 10.21037/tlcr-21-953.
Lung cancer remains the leading cause of cancer deaths accounting for almost 25% of all cancer deaths. Breath-based volatile organic compounds (VOCs) have been studied in lung cancer but previous studies have numerous limitations. We conducted a prospective matched case to control study of the ability of preidentified VOC performance in the diagnosis of stage 1 lung cancer (S1LC).
Study participants were enrolled in a matched case to two controls study. A case was defined as a patient with biopsy-confirmed S1LC. Controls included a matched control, by risk factors, and a housemate control who resided in the same residence as the case. We included 88 cases, 88 risk-matched, and 49 housemate controls. Each participant exhaled into a Tedlar bag which was analyzed using gas chromatography-mass spectrometry. For each study participant's breath sample, the concentration of thirteen previously identified VOCs were quantified and assessed using area under the curve in the detection of lung cancer.
Four VOCs were above the limit of detection in more than 10% of the samples. Acetoin was the only compound that was significantly associated with S1LC. Acetoin concentration below the 10 percentile (0.026 µg/L) in the training data had accuracy of 0.610 (sensitivity =0.649; specificity =0.583) in the test data. In multivariate logistic models, the best performing models included Acetoin alone (AUC =0.650).
Concentration of Acetoin in exhaled breath has low discrimination performance for S1LC cases and controls, while there was not enough evidence for twelve additional published VOCs.
肺癌仍然是癌症死亡的主要原因,占所有癌症死亡人数的近25%。基于呼吸的挥发性有机化合物(VOCs)已在肺癌研究中得到应用,但以往的研究存在诸多局限性。我们进行了一项前瞻性配对病例对照研究,以探讨预先确定的VOCs在诊断I期肺癌(S1LC)中的能力。
研究参与者被纳入配对病例与两个对照的研究。病例定义为经活检确诊的S1LC患者。对照包括通过风险因素匹配的对照和与病例居住在同一住所的室友对照。我们纳入了88例病例、88例风险匹配对照和49例室友对照。每位参与者向一个 Tedlar 袋中呼气,然后使用气相色谱 - 质谱联用仪进行分析。对于每位研究参与者的呼吸样本,对13种先前确定的VOCs的浓度进行定量,并使用曲线下面积评估其在肺癌检测中的作用。
超过10%的样本中有四种VOCs超过检测限。乙偶姻是唯一与S1LC显著相关的化合物。训练数据中乙偶姻浓度低于第10百分位数(0.026μg/L)在测试数据中的准确率为0.610(敏感性 =0.649;特异性 =0.583)。在多变量逻辑模型中,表现最佳的模型仅包括乙偶姻(AUC =0.650)。
呼出气中乙偶姻的浓度对S1LC病例和对照的鉴别性能较低,而对于另外12种已发表的VOCs则没有足够的证据。