Hanai Yosuke, Shimono Ken, Matsumura Koichi, Vachani Anil, Albelda Steven, Yamazaki Kunio, Beauchamp Gary K, Oka Hiroaki
Bioscience Technology Development Office, Panasonic Corporation, Kyoto, Japan.
Biosci Biotechnol Biochem. 2012;76(4):679-84. doi: 10.1271/bbb.110760. Epub 2012 Apr 7.
Lung cancer is a leading cause of deaths in cancer. Hence, developing early-stage diagnostic tests that are non-invasive, highly sensitive, and specific is crucial. In this study, we investigated to determine whether biomarkers derived from urinary volatile organic compounds (VOCs) can be used to discriminate between lung cancer patients and normal control patients. The VOCs were extracted from the headspace by solid-phase microextraction and were analyzed by gas chromatography time-of-flight mass spectrometry. Nine putative volatile biomarkers were identified as elevated in the lung cancer group. Receiver operating characteristic curve analysis was also performed, and the markers were found to be highly sensitive and specific. Next we used principal component analysis (PCA) modeling to make comparisons compare within the lung cancer group, and found that 2-pentanone may have utility in differentiating between adenocarcinoma and squamous cell carcinomas.
肺癌是癌症死亡的主要原因之一。因此，开发非侵入性、高灵敏度和高特异性的早期诊断测试至关重要。在本研究中，我们进行了调查，以确定源自尿液挥发性有机化合物（VOC）的生物标志物是否可用于区分肺癌患者和正常对照患者。通过固相微萃取从顶空中提取VOC，并采用气相色谱飞行时间质谱进行分析。已鉴定出九种假定的挥发性生物标志物在肺癌组中含量升高。还进行了受试者工作特征曲线分析，发现这些标志物具有高度的敏感性和特异性。接下来，我们使用主成分分析（PCA）模型在肺癌组内进行比较，发现2-戊酮可能有助于区分腺癌和鳞状细胞癌。
