Novel immunogenic antigens increase classification accuracy in meningioma to 93.84%.
Int J Cancer
; 128(6): 1493-501, 2011 Mar 15.
Article
em En
| MEDLINE
| ID: mdl-20506373
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Autoanticorpos
/
Biomarcadores Tumorais
/
Glioma
/
Neoplasias Meníngeas
/
Meningioma
/
Antígenos de Neoplasias
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adolescent
/
Adult
/
Aged
/
Aged80
/
Child
/
Child, preschool
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Int J Cancer
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
Alemanha