Frequent FGFR1 hotspot alterations in driver-unknown low-grade glioma and mixed neuronal-glial tumors.

PURPOSE: Low-grade gliomas (LGG) and mixed neuronal-glial tumors (MNGT) show frequent MAPK pathway alterations. Oncogenic fibroblast growth factor receptor 1 (FGFR1) tyrosinase kinase domain has been reported in brain tumors of various histologies. We sought to determine the frequency of FGFR1 hotspot mutations N546 and K656 in driver-unknown LGG/MNGT and examined FGFR1 immunohistochemistry as a potential tool to detect those alterations. METHODS: We analyzed 476 LGG/MNGT tumors for KIAA-1549-BRAF fusion, IDH1/2, TERT promotor, NF1, H3F3A and the remaining cases for FGFR1 mutation frequency and correlated FGFR1 immunohistochemistry in 106 cases. RESULTS: 368 of 476 LGG/MNGT tumors contained non-FGFR1 alterations. We identified 9 FGFR1 p.N546K and 4 FGFR1 p.K656E mutations among the 108 remaining driver-unknown samples. Five tumors were classified as dysembryoplastic neuroepithelial tumor (DNT), 4 as pilocytic astrocytoma (PA) and 3 as rosette-forming glioneuronal tumor (RGNT). FGFR1 mutations were associated with oligodendroglia-like cells, but not with age or tumor location. FGFR1 immunohistochemical expression was observed in 92 cases. FGFR1 immunoreactivity score was higher in PA and DNT compared to diffuse astrocytoma, but no correlation between FGFR1 mutation in tumors and FGFR1 expression level was observed. CONCLUSION: FGFR1 hotspot mutations are the fifth most prevailing alteration in LGG/MNGT. Performing FGFR1 sequencing analysis in driver-unknown low-grade brain tumors could yield up to 12% FGFR1 N546/K656 mutant cases.

Expression-based decision tree model reveals distinct microRNA expression pattern in pediatric neuronal and mixed neuronal-glial tumors.

BACKGROUND: The understanding of the molecular biology of pediatric neuronal and mixed neuronal-glial brain tumors is still insufficient due to low frequency and heterogeneity of those lesions which comprise several subtypes presenting neuronal and/or neuronal-glial differentiation. Important is that the most frequent ganglioglioma (GG) and dysembryoplastic neuroepithelial tumor (DNET) showed limited number of detectable molecular alterations. In such cases analyses of additional genomic mechanisms seem to be the most promising. The aim of the study was to evaluate microRNA (miRNA) profiles in GGs, DNETs and pilocytic asytrocytomas (PA) and test the hypothesis of plausible miRNA connection with histopathological subtypes of particular pediatric glial and mixed glioneronal tumors. METHODS: The study was designed as the two-stage analysis. Microarray testing was performed with the use of the miRCURY LNA microRNA Array technology in 51 cases. Validation set comprised 107 samples used during confirmation of the profiling results by qPCR bioinformatic analysis. RESULTS: Microarray data was compared between the groups using an analysis of variance with the Benjamini-Hochberg procedure used to estimate false discovery rates. After filtration 782 miRNAs were eligible for further analysis. Based on the results of 10 × 10-fold cross-validation J48 algorithm was identified as the most resilient to overfitting. Pairwise comparison showed the DNETs to be the most divergent with the largest number of miRNAs differing from either of the two comparative groups. Validation of array analysis was performed for miRNAs used in the classification model: miR-155-5p, miR-4754, miR-4530, miR-628-3p, let-7b-3p, miR-4758-3p, miRPlus-A1086 and miR-891a-5p. Model developed on their expression measured by qPCR showed weighted AUC of 0.97 (95% CI for all classes ranging from 0.91 to 1.00). A computational analysis was used to identify mRNA targets for final set of selected miRNAs using miRWalk database. Among genomic targets of selected molecules ZBTB20, LCOR, PFKFB2, SYNJ2BP and TPD52 genes were noted. CONCLUSIONS: Our data showed the existence of miRNAs which expression is specific for different histological types of tumors. miRNA expression analysis may be useful in in-depth molecular diagnostic process of the tumors and could elucidate their origins and molecular background.

Magnetic resonance imaging findings of mixed neuronal-glial tumors with pathologic correlation: a review.

Mixed neuronal-glial tumors are rare, and MRI diagnosis of them presents a challenge. In this review, we discuss the MRI findings of ganglioglioma, anaplastic ganglioglioma, desmoplastic infantile ganglioglioma, papillary glioneuronal tumor, rosette-forming glioneuronal tumor, and primary diffuse leptomeningeal glioneuronal tumor with clinicopathologic correlation. There is overlap of imaging features both with each other and some other tumors, which complicates diagnosis. The combination of imaging findings and the age, location, and appropriate clinical picture should allow the radiologist and the clinicians to raise a provisional diagnosis of a mixed neuronal glial tumor, and guide patient management.

Comprehensive genetic characterization of rosette-forming glioneuronal tumors: independent component analysis by tissue microdissection.

A rosette-forming glioneuronal tumor (RGNT) is a rare mixed neuronal-glial tumor characterized by biphasic architecture of glial and neurocytic components. The number of reports of genetic analyses of RGNTs is few. Additionally, the genetic background of the unique biphasic pathological characteristics of such mixed neuronal-glial tumors remains unclear. To clarify the genetic background of RGNTs, we performed separate comprehensive genetic analyses of glial and neurocytic components of five RGNTs, by tissue microdissection. Two missense mutations in FGFR1 in both components of two cases, and one mutation in PIK3CA in both components of one case, were detected. In the latter case with PIK3CA mutation, the additional FGFR1 mutation was detected only in the glial component. Moreover, the loss of chromosome 13q in only the neurocytic component was observed in one other case. Their results suggested that RGNTs, which are tumors harboring two divergent differentiations that arose from a single clone, have a diverse genetic background. Although previous studies have suggested that RGNTs and pilocytic astrocytomas (PAs) represent the same tumor entity, their results confirm that the genetic background of RGNTs is not identical to that of PA.

Papillary glioneuronal tumor:a clinicopathologic analysis of three cases / 临床与实验病理学杂志

Purpose To investigate clinicopathological features, immunohistochemical findings and differential diagnosis of papillary glioneuronal tumor ( PGNT) . Methods The clinical features, imaging, histological and immunohistochemical findings were analyzed in three cases of PGNT, along with review of the related literatures. Results Two patients were female adults, and the other was male adults. One presented with dizziness, and the other exhibited intractable seizures. Magnetic resonance imaging ( MRI) revealed a cyst-ic space-occupying mass in brain parenchyma of left temporal lobe or right parietal lobe. Microscopically, it was characterized by pseu-dopapillary structures composed of hyalinized vessels rimmed by cuboidal glial cells, oligodendrocyte-like cells and the proliferation of neuronal cells. On immunohistochemical staining, the perivascular cuboidal cells were GFAP-positive, the oligodendrocyte-like cells were Olig-2-positive, and the neuronal cells were synaptophysin-and nuclear protein-positive. Conclusion PGNT is a rare and new variant of mixed neuronal-glial neoplasm, the natural evolution of this tumor is one of low malignant potential and it has a good progno-sis. The distinctive pathologic features help to differentiate this entity from other neoplasm of the central nervous system which has pa-pillary structures.