Open AccessIdentification of Novel Low Molecular Weight Serum Peptidome Biomarkers for Non‐Small Cell Lung Cancer ( NSCLC )
Author(s) -
Yang Juan,
Song YongChun,
Song TuSheng,
Hu XiaoYan,
Guo YouMin,
Li ZongFang,
Dang ChengXue,
Huang Chen
Publication year - 2012
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.21502
Subject(s) - lung cancer , copd , medicine , pneumonia , matrix assisted laser desorption/ionization , gastroenterology , oncology , lung , chemistry , desorption , organic chemistry , adsorption
Aim To identify discriminating protein patterns in serum samples among non‐small cell lung cancer ( NSCLC ), chronic obstructive pulmonary disease ( COPD ), pneumonia, and healthy controls. To discover specific low molecular weight ( LMW ) serum peptidome biomarkers and establish a diagnostic pattern for NSCLC by using proteomic technology. Methods We used magnetic bead‐based separation followed by matrix‐assisted laser desorption ionization time‐of‐flight mass spectrometry ( MALDI ‐ TOF MS ) to identify patients with NSCLC , COPD , and pneumonia. A total of 154 serum samples were analyzed in this study, among which there were 60 serum samples from NSCLC patients, 30 from patients with other lung‐related diseases (16 pneumonia patients and 14 patients with COPD ) as disease controls, and 64 from healthy volunteers as healthy control. The mass spectra, analyzed using C lin P ro T ools software, distinguished between cancer patients and healthy individuals based on GA algorithm model. Results In this study, we generated numerous discriminating m/z peaks as well as disease‐specific discrimination peaks. A set of five potential biomarkers ( m/z : 7,763.24, 1,012.61, 4,153.16, 1,450.55, and 2,878.89) could be used as the diagnostic biomarkers to distinguish NSCLC patients from healthy controls. In the training set, patients with NSCLC could be identified with sensitivity of 97.5% and specificity of 98.8%. Similar results were obtained in the testing set, showing 80.7% sensitivity and 91.2% specificity. Conclusion Our study demonstrated that a combined application of magnetic beads with MALDI ‐ TOF MS technique was suitable for identification of serum biomarkers for NSCLC . J. Clin. Lab. Anal. 26:148‐154, 2012. © 2012 Wiley Periodicals, Inc.