1. Mesenchymal/radioresistant traits in granular astrocytomas: evidence from a combined clinical and molecular approach.
- Author
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Senetta R, Mellai M, Manini C, Castellano I, Bertero L, Pittaro A, Schiffer D, Boldorini R, and Cassoni P
- Subjects
- Adult, Aged, Astrocytoma diagnosis, Astrocytoma genetics, Astrocytoma pathology, Biomarkers, Tumor genetics, Brain Neoplasms diagnosis, Brain Neoplasms genetics, Brain Neoplasms pathology, Caveolin 1 genetics, Chitinase-3-Like Protein 1 genetics, Cohort Studies, Female, Glioblastoma classification, Glioblastoma diagnosis, Glioblastoma genetics, Glioblastoma pathology, Granular Cell Tumor classification, Granular Cell Tumor diagnosis, Granular Cell Tumor genetics, Granular Cell Tumor pathology, Humans, Immunohistochemistry, Male, Middle Aged, Prognosis, Proto-Oncogene Proteins c-met genetics, Astrocytoma classification, Biomarkers, Tumor metabolism, Brain Neoplasms classification, Caveolin 1 metabolism, Chitinase-3-Like Protein 1 metabolism, Proto-Oncogene Proteins c-met metabolism
- Abstract
Aims: Granular-cell astrocytomas (GCAs) are morphologically characterized by a prominent component of granular periodic acid-Schiff-positive cells, and show increased aggressiveness as compared with 'ordinary' astrocytomas. The aim of this study was to investigate, in a small series of three GCAs, the expression of mesenchymal/radioresistance-associated biomarkers [such as chitinase-3-like protein 1 (YKL-40), hepatocyte growth factor receptor (c-Met), and caveolin 1 (Cav1)] that could contribute to the poor outcome associated with this glioma subgroup., Methods and Results: Our results show that GCAs, according to the new molecular glioma classifications, consistently show a prognostically negative molecular trait (IDH1wt-ATRX noloss-1p/19q nocodeletion). Furthermore, GCAs significantly differed from a control series of 33 'conventional' astrocytomas, because of diffuse and strong immunohistochemical coexpression of YKL-40, c-Met, and Cav1., Conclusions: Our findings show that specific morphological traits, such as a granular-cell component, could represent useful features in guiding the search for prognostic and predictive biomarkers that could eventually be therapy-targetable (e.g. Met inhibitors aimed at reducing radioresistance)., (© 2016 John Wiley & Sons Ltd.)
- Published
- 2016
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