Metabolite Profiles of the Serum of Patients with Non-Small Cell Carcinoma

被引:45
作者
Mazzone, Peter J. [1 ]
Wang, Xiao-Feng [2 ]
Beukemann, Mary [1 ]
Zhang, Qi [2 ]
Seeley, Meredith [1 ]
Mohney, Rob [3 ]
Holt, Tracy [3 ]
Pappan, Kirk L. [3 ]
机构
[1] Cleveland Clin, Dept Pulm, 9500 Euclid Ave,A90, Cleveland, OH 44195 USA
[2] Cleveland Clin, Quantitat Hlth Sci, 9500 Euclid Ave,A90, Cleveland, OH 44195 USA
[3] Metabolon, Durham, NC USA
关键词
Adenocarcinoma; Squamous cell carcinoma; Metabolites; Biomarkers; LUNG-CANCER; MASS-SPECTROMETRY; PLASMA; METABOLOMICS; BIOMARKERS; DISCOVERY;
D O I
10.1016/j.jtho.2015.09.002
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Alterations of serum metabolites may allow us to identify individuals with lung cancer and advance our understanding of the nature and treatment of their cancer. We aimed to identify serum metabolites that differentiate patients with lung cancer from at-risk controls. Methods: Serum samples from patients with biopsy confirmed untreated stage I through stage III non-small cell lung cancer and at-risk controls were divided into fractions for analysis by ultrahigh-performance liquid chromatography tandem mass spectrometry and gas chromatography-mass spectrometry. Compounds were identified by comparison with library entries of purified standards. Differences in concentrations of single metabolites and metabolite ratios were identified. Prediction models were developed. Results: Serum samples from 284 subjects was analyzed. The subjects' mean age was 67 and 48% were female. Ninety-four patients had lung cancer (50 had adenocarcinoma and 44 had squamous cell carcinoma), 44% had stage I disease, 17% had stage II disease, and 39% had stage III disease. The patients with cancer were slightly older than the controls (68.7 versus 66.2 years, p = 0.013). A total of 534 metabolites were identified in eight metabolite super pathways and 73 subpathways. The concentrations of 149 metabolites differed significantly (q values <0.05) between the cancer and control groups (70 were lower in the cancer group and 79 were higher), and 9723 metabolite ratios differed significantly (q values <0.001) between the cancer and control groups. The accuracies of the models (cancer and cancer subtypes versus control) trained on 70% of the subjects and tested on 30% (expressed as C-statistics) ranged from 0.748 to 0.858. Conclusions: Differences in the serum metabolite profile exist between patients with stage I through stage III non-small cell lung cancer and matched controls. (C) 2015 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:72 / 78
页数:7
相关论文
共 24 条
  • [1] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING
    BENJAMINI, Y
    HOCHBERG, Y
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) : 289 - 300
  • [2] Non-small-cell lung cancers: a heterogeneous set of diseases
    Chen, Zhao
    Fillmore, Christine M.
    Hammerman, Peter S.
    Kim, Carla F.
    Wong, Kwok-Kin
    [J]. NATURE REVIEWS CANCER, 2014, 14 (08) : 535 - 546
  • [3] Organization of GC/MS and LC/MS metabolomics data into chemical libraries
    DeHaven, Corey D.
    Evans, Anne M.
    Dai, Hongping
    Lawton, Kay A.
    [J]. JOURNAL OF CHEMINFORMATICS, 2010, 2
  • [4] Lysophosphatidylcholine profiling of plasma: discrimination of isomers and discovery of lung cancer biomarkers
    Dong, Jun
    Cai, Xiaoming
    Zhao, Lili
    Xue, Xingya
    Zou, Lijuan
    Zhang, Xiuli
    Liang, Xinmiao
    [J]. METABOLOMICS, 2010, 6 (04) : 478 - 488
  • [5] Integrated, Nontargeted Ultrahigh Performance Liquid Chromatography/Electrospray Ionization Tandem Mass Spectrometry Platform for the Identification and Relative Quantification of the Small-Molecule Complement of Biological Systems
    Evans, Anne M.
    DeHaven, Corey D.
    Barrett, Tom
    Mitchell, Matt
    Milgram, Eric
    [J]. ANALYTICAL CHEMISTRY, 2009, 81 (16) : 6656 - 6667
  • [6] Altered regulation of metabolic pathways in human lung cancer discerned by 13C stable isotope-resolved metabolomics (SIRM)
    Fan, Teresa W. M.
    Lane, Andrew N.
    Higashi, Richard M.
    Farag, Mohamed A.
    Gao, Hong
    Bousamra, Michael
    Miller, Donald M.
    [J]. MOLECULAR CANCER, 2009, 8
  • [7] Probing gender-specific lipid metabolites and diagnostic biomarkers for lung cancer using Fourier transform ion cyclotron resonance mass spectrometry
    Guo, Yumei
    Wang, Xianmin
    Qiu, Ling
    Qin, Xuzhen
    Liu, Hui
    Wang, Yanying
    Li, Fang
    Wang, Xiaodong
    Chen, Guoqiang
    Song, Gaoguang
    Li, Fenjie
    Guo, Shuai
    Li, Zhili
    [J]. CLINICA CHIMICA ACTA, 2012, 414 : 135 - 141
  • [8] A metabolomic approach to lung cancer
    Hori, Suya
    Nishiumi, Shin
    Kobayashi, Kazuyuki
    Shinohara, Masakazu
    Hatakeyama, Yukihisa
    Kotani, Yoshikazu
    Hatano, Naoya
    Maniwa, Yoshimasa
    Nishio, Wataru
    Bamba, Takeshi
    Fukusaki, Eiichiro
    Azuma, Takeshi
    Takenawa, Tadaomi
    Nishimura, Yoshihiro
    Yoshida, Masaru
    [J]. LUNG CANCER, 2011, 74 (02) : 284 - 292
  • [9] Building Predictive Models in R Using the caret Package
    Kuhn, Max
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2008, 28 (05): : 1 - 26
  • [10] Comparison of the Volatile Organic Compounds from Different Biological Specimens for Profiling Potential
    Kusano, Maiko
    Mendez, Eladio
    Furton, Kenneth G.
    [J]. JOURNAL OF FORENSIC SCIENCES, 2013, 58 (01) : 29 - 39