Seromic analysis of antibody responses in non-small cell lung cancer patients and healthy donors using conformational protein arrays

被引:61
作者
Gnjatic, Sacha [1 ]
Wheeler, Colin [2 ]
Ebner, Martin [2 ]
Ritter, Erika
Murray, Anne
Altorki, Nasser K. [3 ]
Ferrara, Cathy A. [3 ]
Hepburne-Scott, Henry [2 ]
Joyce, Sarah [2 ]
Koopman, Jens [2 ]
McAndrew, Michael B. [2 ]
Workman, Nicholas [2 ]
Ritter, Gerd
Fallon, Rachel [2 ]
Old, Lloyd J.
机构
[1] Mem Sloan Kettering Canc Ctr, Ludwig Inst Canc Res, New York Branch, New York, NY 10065 USA
[2] Sense Prote Ltd, Unit 4, Maidenhead SL6 7RJ, Berks, England
[3] Cornell Univ, Weill Med Coll, New York Presbyterian Hosp, Div Thorac Surg, New York, NY 10065 USA
关键词
Serum and plasma profiling; Data normalization; Tumor antigens; ELISA; IgG; Validation; HUMORAL IMMUNE-RESPONSE; HUMAN TUMOR-ANTIGENS; SURFACE ANTIGENS; MONOCLONAL-ANTIBODIES; ESCHERICHIA-COLI; MICROARRAYS; IDENTIFICATION; DISCOVERY; CLASSIFICATION; MELANOMA;
D O I
10.1016/j.jim.2008.10.016
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Analysis of antibody responses to self-antigens has driven the development of the field of tumor immunology, with the identification of many protein targets found in cancer but with limited expression in normal tissues. Protein microarray technologies offer an unprecedented platform to assay the serological response of cancer patients to tumor antigens in a comprehensive fashion, against many proteins simultaneously. We developed an array containing 329 full-length proteins, originally identified as antigenic in various cancer patients by serological expression cloning (SEREX), that were immobilized as folded, functional products accessible for antibody binding. To validate the use of these microarrays, we selected 31 sera from non-small cell lung cancer patients previously known to react to the following antigens by ELISA: LAGE-1/CrAG2, MAGEA4, TP53, SSX and SOX2. These sera were compared with 22 sera from healthy donors for reactivity against a series of antigens present on microarrays. The sensitivity and specificity of the arrays compared favorably with standard ELISA techniques (94% concordance). We present here a stringent strategy for data analysis and normalization that is applicable to protein arrays in general, and describe findings suggesting that this approach is suitable for defining potential antigenic targets for cancer vaccine development, serum antibody signatures with clinical value, characterization of predictive serum markers for experimental therapeutics, and eventually for the serological definition of the cancer proteome (seromics). (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:50 / 58
页数:9
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