4.6 Article

Molecular identification of CNS NB-FOXR2, CNS EFT-CIC, CNS HGNET-MN1 and CNS HGNET-BCOR pediatric brain tumors using tumor-specific signature genes

Journal

ACTA NEUROPATHOLOGICA COMMUNICATIONS
Volume 8, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s40478-020-00984-9

Keywords

Brain tumors; CNS EFT-CIC; CNS NB-FOXR2; CNS HGNET-MN1; CNS HGNET-BCOR; Genes expression

Categories

Funding

  1. National Science Centre, Poland [2016/21/B/NZ2/01785, 2016/23/B/NZ2/03064]

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Four molecular types of rare central nervous system (CNS) tumors have been recently identified by gene methylation profiling: CNS Neuroblastoma withFOXR2activation (CNS NB-FOXR2), CNS Ewing Sarcoma Family Tumor withCICalteration (CNS EFT-CIC), CNS high grade neuroepithelial tumor withMN1alteration (CNS HGNET-MN1) and CNS high grade neuroepithelial tumor withBCORalteration (CNS HGNET-BCOR). Although they are not represented in 2016 updated WHO classification of CNS tumors, their diagnostic recognition is important because of clinical consequences. We have introduced a diagnostic method based on transcription profiling of tumor specific signature genes from formalin-fixed, paraffin-embedded tumor blocks using NanoString nCounter Technology. Altogether, 14 out of 187 (7.4%) high grade pediatric brain tumors were diagnosed with either of four new CNS categories. Histopathological examination of the tumors confirmed, that they demonstrate a spectrum of morphology mimicking other CNS high grade tumors. However, they also exhibit some suggestive histopathological and immunohistochemical features that allow for a presumptive diagnosis prior to molecular assessment. Clinical characteristics of patients corroborated with the previous findings for CNS EFT-CIC, CNS NB-FOXR2 and CNS HGNET-MN1 patients, with a favorable survival rate for the latter two groups. Among six CNS HGNET-BCOR patients, three patients are long term survivors, suggesting possible heterogeneity within this molecular category of tumors. In summary, we confirmed the effectiveness of NanoString method using a single, multi-gene tumor specific signature and recommend this novel approach for identification of either one of the four newly described CNS tumor entities.

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