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Novel immunogenic antigens increase classification accuracy in meningioma to 93.84%
Author(s) -
Ludwig Nicole,
Keller Andreas,
Heisel Sabrina,
Leidinger Petra,
Rheinheimer Stefanie,
Andres Claudia,
Stephan Bernhard,
Steudel WolfIngo,
Donauer Erich,
Graf Norbert,
Burgeth Bernhard,
Weickert Joachim,
Lenhof HansPeter,
Meese Eckart
Publication year - 2011
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.25467
Subject(s) - meningioma , autoantibody , antigen , recombinant dna , immunology , medicine , computational biology , biology , pathology , antibody , genetics , gene
There is growing evidence that simultaneous analysis of multiple autoantibody reactions can be utilized for diagnosis of neoplasms. Using a set of 57 meningioma‐associated antigens, we recently separated meningioma patients from individuals without known disease with an accuracy of 90.3%. Here, we ask whether a largely increased set of immunogenic antigens can further improve this discrimination. We used an array with 1,827 human recombinant clones and measured reactivity of serum autoantibodies against the clones by a novel automated image analysis procedure. We were able to separate meningioma sera from sera of healthy controls with a specificity of 95.62%, a sensitivity of 91.83% and an accuracy of 93.84%. Of the analyzed clones, 23 in‐frame clones were highly informative for the classification of meningioma vs . normal sera as shown by their AUC values. These results demonstrate that the accuracy of a serum‐based diagnostic can be readily and considerably improved by screening extended sets of proteins.