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

Metabolites

Suzanne Miyamoto⁵  Sandra L. Taylor⁴  Dinesh K. Barupal³  Ayumu Taguchi²  Gert Wohlgemuth³  William R. Wikoff³  Ken Y. Yoneda¹  David R. Gandara⁵  Samir M. Hanash²  Kyoungmi Kim⁴  Oliver Fiehn³ 

[1] Division of Pulmonary Medicine, Department of Internal Medicine, UC Davis Medical Center, Sacramento, CA 95817, USA; E-Mail:;The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; E-Mails:;Genome Center, UC Davis, 451 Health Sciences Drive, University of California, Davis, CA 95616, USA; E-Mails:;Division of Biostatistics, Department of Public Health Sciences, UC Davis School of Medicine, One Shields Avenue, Med Sci 1-C, Davis, CA 95616, USA; E-Mails:;Division of Hematology/Oncology, UC Davis Cancer Center, 4501 X Street, Room 3016, Sacramento, CA 95817, USA; E-Mail:

关键词: metabolomic;    lung cancer;    mass spectrometry;    blood;   

DOI  :  10.3390/metabo5020192

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.