CAJ | 학술논문

目的：研究常压直接质谱分析技术（ AMS）快速鉴别肺癌与癌旁组织的效果及应用。方法在不对肺组织进行任何预处理前提下，采用自制的甲醇萃取辅助的针尖电喷雾离子源对15例肺癌患者的肺癌和癌旁组织样品进行快速质谱分析，萃取剂甲醇的流速为4μL/min，设置离子源为正离子模式，质荷比（m/z）750～850 Da，离子传输管温度150℃，喷雾电压3.5 kV，透镜电压65.0 V。应用matlab软件对谱图数据进行分析，肺癌与癌旁组织质谱峰丰度差异采用独立样本t检验；用主成分分析（ PCA）方法对肺癌与癌旁组织样品的质谱指纹谱图进行快速分类和鉴别。结果肺癌和癌旁组织样品指纹谱图在m/z为756.7、772.6、780.7、808.7、824.7、832.7等处的相对丰度在肺癌和癌旁组织中差异有统计学意义（ P＜0.01）；PCA分类图中，肺癌组织和癌旁组织样品分别落在不同的区域，两类样品能有效区分。结论 AMS耦合PCA能够有效地将肺癌与癌旁组织样品的质谱指纹区分，从而快速鉴别出肺癌与癌旁组织，并获得相关样品的分子尺度信息，为快速诊断肺癌及肺癌肿瘤标志物研究提供新的思路和策略。
목적：연구상압직접질보분석기술（ AMS）쾌속감별폐암여암방조직적효과급응용。방법재불대폐조직진행임하예처리전제하，채용자제적갑순췌취보조적침첨전분무리자원대15례폐암환자적폐암화암방조직양품진행쾌속질보분석，췌취제갑순적류속위4μL/min，설치리자원위정리자모식，질하비（m/z）750～850 Da，리자전수관온도150℃，분무전압3.5 kV，투경전압65.0 V。응용matlab연건대보도수거진행분석，폐암여암방조직질보봉봉도차이채용독립양본t검험；용주성분분석（ PCA）방법대폐암여암방조직양품적질보지문보도진행쾌속분류화감별。결과폐암화암방조직양품지문보도재m/z위756.7、772.6、780.7、808.7、824.7、832.7등처적상대봉도재폐암화암방조직중차이유통계학의의（ P＜0.01）；PCA분류도중，폐암조직화암방조직양품분별락재불동적구역，량류양품능유효구분。결론 AMS우합PCA능구유효지장폐암여암방조직양품적질보지문구분，종이쾌속감별출폐암여암방조직，병획득상관양품적분자척도신식，위쾌속진단폐암급폐암종류표지물연구제공신적사로화책략。
Objective To investigate the effect and application of ambient mass spectrometry ( AMS) for fast identification of lung cancer .Methods Intraoperatively collected tissue samples and adjacent normal lung tissues from 15 lung cancer patients were analyzed by home -made solvent-assisted tip electrospray ionization mass spectrometry without any pretreatment .Flow rate of solvent ( methanol ) was 4 μL/min with ion source mode was set as follows: positive ion mode, mass range of m/z 750~850 Da, of 150℃ion transmission tube temperature, 3.5 kV spray voltage, 65.0 V lens voltage as.Data of the spectra was analyzed using matlab software .Student′s t test was performed.Principal component a-nalysis ( PCA) was used as a data processing method for the fingerprinting spectra .Results Significant difference was observed in fingerprint spectra at 756.7, 772.6, 780.7, 808.7, 824.7 and 832.7 m/z between cancerous tissue and nor-mal tissue (P<0.01).Pattern recognitions at the fingerprint spectrum level for clustering analysis of tissue samples were achieved successfully with lung cancer separated from normal tissues .Conclusion Coupling with PCA analysis , the can-cerous tissue samples of NSCLC can be identified effectively from the adjacent normal tissue by AMS , suggesting potential application in fast diagnosis of lung cancer .