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Detection of lung adenocarcinoma using magnetic beads based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry serum protein profiling 被引量:13

Detection of lung adenocarcinoma using magnetic beads based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry serum protein profiling
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摘要 Background Recently, due to the rapid development of proteomic techniques, great advance has been made in many scientific fields. We aimed to use magnetic beads (liquid chip) based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) technology to screen distinctive biomarkers for lung adenocarcinoma (adCA), and to establish the diagnostic protein profiles. Methods Using weak cation exchange magnetic beads (MB-WCX) to isolate and purify low molecular weight proteins from sera of 35 lung adCA, 46 benign lung diseases (BLDs) and 44 healthy individuals. The resulting spectra gained by anchor chip-MALDI-TOF-MS were analyzed by ClinProTools and a pattern recognition genetic algorithm (GA). Results In the working mass range of 800-10 000 Da, 99 distinctive peaks were resolved in lung adCA versus BLDs, while 101 peaks were resolved in lung adCA versus healthy persons. The profile gained by GA that could distinguish adCA from BLDs was comprised of 4053.88, 4209.57 and 3883.33 Da with sensitivity of 80%, specificity of 93%, while that could separate adCA from healthy control was comprised of 2951.83 Da and 4209.73 Da with sensitivity of 94%, specificity of 95%. The sensitivity provided by carcinoembryonic antigen (CEA) in this experiment was significantly lower than our discriminatory profiles (P 〈0.005). We further identified a eukaryotic peptide chain release factor GTP-binding subunit (eRF3b) (4209 Da) and a complement C3f (1865 Da) that may serve as candidate biomarkers for lung adCA. Conclusion Magnetic beads based MALDI-TOF-MS technology can rapidly and effectively screen distinctive proteins/polypeptides from sera of lung adCA patients and controls, which has potential value for establishing a new diagnostic method for lung adCA. Background Recently, due to the rapid development of proteomic techniques, great advance has been made in many scientific fields. We aimed to use magnetic beads (liquid chip) based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) technology to screen distinctive biomarkers for lung adenocarcinoma (adCA), and to establish the diagnostic protein profiles. Methods Using weak cation exchange magnetic beads (MB-WCX) to isolate and purify low molecular weight proteins from sera of 35 lung adCA, 46 benign lung diseases (BLDs) and 44 healthy individuals. The resulting spectra gained by anchor chip-MALDI-TOF-MS were analyzed by ClinProTools and a pattern recognition genetic algorithm (GA). Results In the working mass range of 800-10 000 Da, 99 distinctive peaks were resolved in lung adCA versus BLDs, while 101 peaks were resolved in lung adCA versus healthy persons. The profile gained by GA that could distinguish adCA from BLDs was comprised of 4053.88, 4209.57 and 3883.33 Da with sensitivity of 80%, specificity of 93%, while that could separate adCA from healthy control was comprised of 2951.83 Da and 4209.73 Da with sensitivity of 94%, specificity of 95%. The sensitivity provided by carcinoembryonic antigen (CEA) in this experiment was significantly lower than our discriminatory profiles (P 〈0.005). We further identified a eukaryotic peptide chain release factor GTP-binding subunit (eRF3b) (4209 Da) and a complement C3f (1865 Da) that may serve as candidate biomarkers for lung adCA. Conclusion Magnetic beads based MALDI-TOF-MS technology can rapidly and effectively screen distinctive proteins/polypeptides from sera of lung adCA patients and controls, which has potential value for establishing a new diagnostic method for lung adCA.
出处 《Chinese Medical Journal》 SCIE CAS CSCD 2010年第1期34-39,共6页 中华医学杂志(英文版)
基金 This work was supported by grants from the National Natural Science Foundation of China (No. 30570795) and Program for New Century Excellent Talents in University (No. NECT-06-0845) and the Program in Science and Technology of Xi'an, Shaanxi Province (No. S F08009(1)).Acknowledgement: We are grateful to HU Xiao-hui for the technical guidance.
关键词 magnetic beads matrix-assisted laser desorption/ionization-mass spectrometry lung adenocarcinoma SERUM PROTEOMICS magnetic beads matrix-assisted laser desorption/ionization-mass spectrometry lung adenocarcinoma serum proteomics
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  • 1Swensen SJ, Jett JR, Hartman TE, et al. Lung Cancer Screening with CT: Mayo Clinic Experience[ J]. Radiology,2003,226( 3 ) :756-761.
  • 2Costello P, Anderson W, Blume D. Pulmonary nodule evaluation with spiral CT[ J]. Radiology, 1991,179 ( 3 ) : 875-876.
  • 3Hutehens TW, Yip Tai-Yung. New desorption strategies for the mass spectnm~etric analysis of maeromolecules [ J ]. Rapid Commun Mass Spectrom, 1993,7 ( 0 ) :576-580.
  • 4The ProteinChip System from Ciphergen Biosystems Inc[ J]. Transcript, Lnborwelt ,2001 ,Suppl( Ⅲ) :47-49.
  • 5Xiao Z, Prieto D, Conrads TP, et al. Proteomic patterns: their potential for disease diagnosis[ J]. M~Jl Cell Emtocrinol,2005,230(1-2) :95-106.
  • 6Somiari RI, Somiari S, Russell S, et al. Proteomics of breast carcinoma[ J ]. J Chromatogr B Analyt Technol Biomed Life Sci,2005,815 ( 1-2 ) :215-225.
  • 7Pawlik TM, Fritsche H, Coombes KR, et al. Significant differences in nipple aspirate fluid protein expression between healthy women and those with breast cancer demonstrated by time-of-flight mass spectrometry [ J ]. Breast Cancer Res Treat, 2005,89 ( 2 ) :149-157.
  • 8Malik G, Ward MD, Gupta SK, et al. Serum levels of an isoform of apolipoprotein A-Ⅱ as a potential marker for prostate cancer[ J ]. Clin Cancer Res, 2005,11 ( 3 ) : 1073 -1085.
  • 9Wasinger VC, Cordwell SJ, Cerpa-Poljak A, et al. Progress with gene-product mapping of the Mollicutes: Mycoplasma genitalium[ J ]. Electrophoresis, 1995,16 ( 7 ) : 1090-1094.
  • 10陈海泉,曹勇,高宗礼,孙艺华,周贤.微创肌肉非损伤性开胸术治疗肺癌[J].中国癌症杂志,2001,11(6):536-537. 被引量:23

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  • 1王洪武.周围型肺癌的早期诊断策略[J].中国肺癌杂志,2008,11(4):574-581. 被引量:14
  • 2YANGShuan-ying,XIAOXue-yuan,ZHANGWang-gang,SUNXiu-zhen,ZHANGLi-juan,ZHANGWei,ZHOUBin,CHENGuo-an,HEDa-cheng.Application of serum surface-enhanced laser desorption/ionization proteomic patterns in distinguishing lung cancer patients from healthy people[J].Chinese Medical Journal,2005(12):1036-1039. 被引量:48
  • 3何英,陆学东.液相芯片技术及其临床应用[J].国际检验医学杂志,2006,27(12):1107-1108. 被引量:14
  • 4WONG S C, CHAN C M, MA B B, et al. Advanced proteomic technologies for cancer blomarker discovery [ J ]. Expert Rev Proteomics, 2009,6(2) : 123-134.
  • 5PIETROWSKA M, MARCZAK L, POLANSKA J, et al. Mass spectrometry-based serum proteome pattern analysis in molecular diagnostics of early stage breast cancer[ J]. J Translational Med, 2009,7:60.
  • 6'gANG K D, CHANG Wanching, CHUANG Hau, et al. Increased complement factor H with decreased factor b determined by proteomic differential displays as a biomarker of Tai Chi Chuan exercise[ J]. Clin Chem,2010,56( 1 ) : 127-131.
  • 7G1EBEL R, WORDEN C, RUST S M, et al. Microbial fingerprinting using matrix-assisted laser desorption ionization time-of-Night mass spectrometry (MALDI-TOF MS) applications and challenges[ J]. Adv Appl Microbiol,2010,71 : 149-184.
  • 8CHRISTIN C, BISCHOFF R, HORVATOVICH P. Data processing pipelines for comprehensive profiling of proteomics samples by label-free LC-MS for biomarker discovery [ J ]. Talanta, 2011,83 ( 4 ) : 1209-1224.
  • 9REMMERBACH T W,MAURER K, JANKE S, et al. Oral brush biopsy analysis by matrix assisted laser desorption/ionisation-time of flight mass spectrometry profiling--a pilot study [ J ]. Oral Oncol,2011,47(4) : 278-281.
  • 10LIU Yashu, HE Jintang, LIChen, et al. Identification and Confirmation of biomarkers using an integrated platform for quantitative analysis of glycoproteins and their glycosylations[ J ]. J Proteome Res,2010,9(2) : 798-805.

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