YKL-40 Is a Differential Diagnostic Marker for Histologic Subtypes of High-Grade Gliomas
Purpose and Experimental Design: In modern neuro-oncology, no variable affects therapeutic decisions and prognostic estimation more than tumor classification. We showed recently that class prediction models, based on gene expression profiles, classify diagnostically challenging malignant gliomas in...
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Veröffentlicht in: | Clinical cancer research 2005-03, Vol.11 (6), p.2258-2264 |
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Zusammenfassung: | Purpose and Experimental Design: In modern neuro-oncology, no variable affects therapeutic decisions and prognostic estimation more than tumor classification.
We showed recently that class prediction models, based on gene expression profiles, classify diagnostically challenging malignant
gliomas in a manner that better correlates with clinical outcome than standard pathology. In the present study, we used immunohistochemistry
to investigate YKL-40 protein expression in independent sets of glioblastomas and anaplastic oligodendrogliomas to determine
whether this single marker can aid classification of these high-grade gliomas.
Results and Conclusions: Glioblastomas show strikingly more YKL-40 expression than anaplastic oligodendrogliomas. Only 2 of 37 glioblastomas showed
completely negative YKL-40 staining in both tumor cells and extracellular matrix, whereas 18 of 29 anaplastic oligodendrogliomas
were completely negative in non-microgemistocytic tumor cells and extracellular matrix. Tumor cell staining intensity was
also markedly different: 84% of glioblastomas showed strong staining intensities of 2+ or 3+ whereas 76% of anaplastic oligodendrogliomas
either did not stain or stained at only 1+. YKL-40 staining provided a better class distinction of glioblastoma versus anaplastic
oligodendroglioma than glial fibrillary acidic protein, the current standard immunohistochemical marker used to distinguish
diagnostically challenging gliomas. Moreover, a combination of YKL-40 and glial fibrillary acidic protein immunohistochemistry
afforded even greater diagnostic accuracy in anaplastic oligodendrogliomas. |
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ISSN: | 1078-0432 1557-3265 |
DOI: | 10.1158/1078-0432.CCR-04-1601 |