Ovarian cancer marker of 11.7 kDa detected by proteomics is a serum amyloid A1

被引:88
作者
Moshkovskii, SA
Serebryakova, MV
Kuteykin-Teplyakov, KB
Tikhonova, OV
Goufman, EI
Zgoda, VG
Taranets, IN
Makarov, OV
Archakov, AI
机构
[1] Ctr Proteom, Inst Biomed Chem, Moscow 119121, Russia
[2] Russian State Med Univ, Moscow 117437, Russia
关键词
biomarker; ovarian cancer; SELDI; serum amyloid A;
D O I
10.1002/pmic.200401205
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In this study, to reduce the number of major plasma components, we examined thermostable plasma fractions to search for a biomarker of ovarian cancer. An apparent cancer biomarker of 11.7 kDa was detected in these fractions using ProteinChip SELDI-TOF mass spectrometry System. This peak invariably appeared with another close peak of about 11.5 kDa, suggesting that it is a derivative of a larger mass molecule. Of 27 cancer plasma specimens, 15 (55.6%) demonstrated this peak pair, whereas only 2 of 34 controls specimens (5.8%) were shown to express it with low intensity. Using a method involving cysteine modification by 4-vinylpyridine (4-VP), 2DE and HPLC, these peaks were identified by mass spectrometry as serum amyloid A1 (11.68 kDa) and its N-terminal arginine-truncated form (11.52 kDa).
引用
收藏
页码:3790 / 3797
页数:8
相关论文
共 19 条
  • [1] The human plasma proteome - History, character, and diagnostic prospects
    Anderson, NL
    Anderson, NG
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2002, 1 (11) : 845 - 867
  • [2] BENSON MD, 1986, CANCER, V57, P1783, DOI 10.1002/1097-0142(19860501)57:9<1783::AID-CNCR2820570912>3.0.CO
  • [3] 2-L
  • [4] IMPROVED SILVER STAINING OF PLANT-PROTEINS, RNA AND DNA IN POLYACRYLAMIDE GELS
    BLUM, H
    BEIER, H
    GROSS, HJ
    [J]. ELECTROPHORESIS, 1987, 8 (02) : 93 - 99
  • [5] BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
  • [6] Fast-response proteomics by accelerated in-gel digestion of proteins
    Havlis, J
    Thomas, H
    Sebela, M
    Shevchenko, A
    [J]. ANALYTICAL CHEMISTRY, 2003, 75 (06) : 1300 - 1306
  • [7] Machine learning approaches to lung cancer prediction from mass spectra
    Hilario, M
    Kalousis, A
    Müller, M
    Pellegrini, C
    [J]. PROTEOMICS, 2003, 3 (09) : 1716 - 1719
  • [8] Identification and validation of a potential lung cancer serum biomarker detected by matrix-assisted laser desorption/ionization-time of flight spectra analysis
    Howard, BA
    Wang, MZ
    Campa, MJ
    Corro, C
    Fitzgerald, MC
    Patz, EF
    [J]. PROTEOMICS, 2003, 3 (09) : 1720 - 1724
  • [9] Detection of novel truncated forms of human serum amyloid A protein in human plasma
    Kiernan, UA
    Tubbs, KA
    Nedelkov, D
    Niederkofler, EE
    Nelson, RW
    [J]. FEBS LETTERS, 2003, 537 (1-3) : 166 - 170
  • [10] Kimura M, 2001, CANCER, V92, P2072, DOI 10.1002/1097-0142(20011015)92:8<2072::AID-CNCR1547>3.0.CO