Novel immunogenic antigens increase classification accuracy in meningioma to 93.84%
✍ Scribed by Nicole Ludwig; Andreas Keller; Sabrina Heisel; Petra Leidinger; Stefanie Rheinheimer; Claudia Andres; Bernhard Stephan; Wolf-Ingo Steudel; Erich Donauer; Norbert Graf; Bernhard Burgeth; Joachim Weickert; Hans-Peter Lenhof; Eckart Meese
- Book ID
- 102274897
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- French
- Weight
- 380 KB
- Volume
- 128
- Category
- Article
- ISSN
- 0020-7136
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✦ Synopsis
Abstract
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.