Serum Peptidome Profiling in Patients with Lung Cancer

Serum peptide profiling is a promising approach for classification of cancer versus noncancer samples. In this study, we aimed to search for discriminating peptide patterns in serum samples between lung cancer patients and healthy controls. The magnetic beads‐based weak cation‐exchange chromatograph...

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Published in:Anatomical record (Hoboken, N.J. : 2007) N.J. : 2007), 2010-12, Vol.293 (12), p.2027-2033
Main Authors: Yang, Juan, Yang, Shuan‐Ying, Hu, Xiao‐Yan, Huo, Shu‐Fen, Shang, Wen‐Li, Li, Zong‐Fang, Ni, Lei, Wang, Ai‐Ying, Guo, You‐Min, Song, Tu‐Sheng, Chen‐Huang
Format: Article
Language:English
Subjects:
Adult
Aged
Biomarkers, Tumor - blood
Case-Control Studies
Female
Humans
lung cancer
Lung Neoplasms - blood
Lung Neoplasms - pathology
MALDI‐TOF mass spectrometry
Male
Middle Aged
Peptides - analysis
Peptides - blood
Proteome - analysis
Reference Values
Serum - chemistry
Serum - metabolism
serum peptidome pattern profiling
Single-Blind Method
Small Cell Lung Carcinoma - blood
Small Cell Lung Carcinoma - pathology
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Summary:Serum peptide profiling is a promising approach for classification of cancer versus noncancer samples. In this study, we aimed to search for discriminating peptide patterns in serum samples between lung cancer patients and healthy controls. The magnetic beads‐based weak cation‐exchange chromatography followed by matrix‐assisted laser desorption and ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS) was used in this study to identify patients with lung cancer. In total, serum samples from 64 lung cancer patients (32 for training set and 32 for testing set), 64 healthy controls (32 for training set and 32 for testing set), and 10 COPD patients (for disease control) were analyzed in this study. The mass spectra data analyzed with ClinProTools software was used to distinguish between cancer patients and healthy individuals based on three different algorithm models (GA, SNN, and QC). In the training set, patients with lung cancer could be identified with the mean sensitivity of 98.9% and specificity of100%. Similar results could be obtained from testing set, showing 87% sensitivity and 84.8% specificity. Screening for serum peptide patterns using MALDI‐TOF MS showed high sensitivity and specificity in identifying patients with lung cancer. Anat Rec, 2010. © 2010 Wiley‐Liss, Inc.
ISSN:1932-8486
1932-8494
DOI:10.1002/ar.21267