Suppr超能文献

气相色谱飞行时间质谱分析肺癌患者血液样本中的系统代谢组学变化。

Systemic Metabolomic Changes in Blood Samples of Lung Cancer Patients Identified by Gas Chromatography Time-of-Flight Mass Spectrometry.

机构信息

Division of Hematology/Oncology, UC Davis Cancer Center, 4501 X Street, Room 3016, Sacramento, CA 95817, USA.

Division of Biostatistics, Department of Public Health Sciences, UC Davis School of Medicine, One Shields Avenue, Med Sci 1-C, Davis, CA 95616, USA.

出版信息

Metabolites. 2015 Apr 9;5(2):192-210. doi: 10.3390/metabo5020192.

Abstract

Lung cancer is a leading cause of cancer deaths worldwide. Metabolic alterations in tumor cells coupled with systemic indicators of the host response to tumor development have the potential to yield blood profiles with clinical utility for diagnosis and monitoring of treatment. We report results from two separate studies using gas chromatography time-of-flight mass spectrometry (GC-TOF MS) to profile metabolites in human blood samples that significantly differ from non-small cell lung cancer (NSCLC) adenocarcinoma and other lung cancer cases. Metabolomic analysis of blood samples from the two studies yielded a total of 437 metabolites, of which 148 were identified as known compounds and 289 identified as unknown compounds. Differential analysis identified 15 known metabolites in one study and 18 in a second study that were statistically different (p-values <0.05). Levels of maltose, palmitic acid, glycerol, ethanolamine, glutamic acid, and lactic acid were increased in cancer samples while amino acids tryptophan, lysine and histidine decreased. Many of the metabolites were found to be significantly different in both studies, suggesting that metabolomics appears to be robust enough to find systemic changes from lung cancer, thus showing the potential of this type of analysis for lung cancer detection.

摘要

肺癌是全球癌症死亡的主要原因。肿瘤细胞的代谢改变以及宿主对肿瘤发展的全身反应指标有可能产生具有临床应用价值的血液谱,用于诊断和监测治疗。我们报告了两项使用气相色谱飞行时间质谱(GC-TOF MS)分析人类血液样本中代谢物的独立研究结果,这些代谢物与非小细胞肺癌(NSCLC)腺癌和其他肺癌病例有显著差异。两项研究的代谢组学分析共产生了 437 种代谢物,其中 148 种被鉴定为已知化合物,289 种被鉴定为未知化合物。差异分析在一项研究中确定了 15 种已知代谢物,在第二项研究中确定了 18 种统计学上不同的代谢物(p 值<0.05)。癌症样本中麦芽糖、棕榈酸、甘油、乙醇胺、谷氨酸和乳酸的水平升高,而色氨酸、赖氨酸和组氨酸等氨基酸的水平降低。许多代谢物在两项研究中均有显著差异,这表明代谢组学似乎足够稳健,可以发现来自肺癌的系统性变化,从而显示出这种分析类型用于肺癌检测的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11aa/4495369/0abe4e70c7d0/metabolites-05-00192-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验