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Importance of GFAP isoform-specific analyses in astrocytoma

期刊

GLIA
卷 67, 期 8, 页码 1417-1433

出版社

WILEY
DOI: 10.1002/glia.23594

关键词

astrocytoma; biomarker; GFAP; GFAP variants; GFAP delta; glioma; intermediate filaments

资金

  1. Netherlands Organization for Scientific Research [NWO
  2. VICI grant] [865.09.003]
  3. Dutch Cancer Society [KWF 10123]
  4. TP Bohnenn fund

向作者/读者索取更多资源

Gliomas are a heterogenous group of malignant primary brain tumors that arise from glia cells or their progenitors and rely on accurate diagnosis for prognosis and treatment strategies. Although recent developments in the molecular biology of glioma have improved diagnosis, classical histological methods and biomarkers are still being used. The glial fibrillary acidic protein (GFAP) is a classical marker of astrocytoma, both in clinical and experimental settings. GFAP is used to determine glial differentiation, which is associated with a less malignant tumor. However, since GFAP is not only expressed by mature astrocytes but also by radial glia during development and neural stem cells in the adult brain, we hypothesized that GFAP expression in astrocytoma might not be a direct indication of glial differentiation and a less malignant phenotype. Therefore, we here review all existing literature from 1972 up to 2018 on GFAP expression in astrocytoma patient material to revisit GFAP as a marker of lower grade, more differentiated astrocytoma. We conclude that GFAP is heterogeneously expressed in astrocytoma, which most likely masks a consistent correlation of GFAP expression to astrocytoma malignancy grade. The GFAP positive cell population contains cells with differences in morphology, function, and differentiation state showing that GFAP is not merely a marker of less malignant and more differentiated astrocytoma. We suggest that discriminating between the GFAP isoforms GFAP delta and GFAP alpha will improve the accuracy of assessing the differentiation state of astrocytoma in clinical and experimental settings and will benefit glioma classification.

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