ArticleJournal of neuro-oncology2022
Single nCounter assay for prediction of MYCN amplification and molecular classification of medulloblastomas: a multicentric study.
Article in Journal of neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Definition of parameters and thresholds to detect MYCN amplification in retinoblastomas.Virchows Archiv : an international journal of pathology · 2026Article
- The Prognostic Value of Amplification of theDiseases (Basel, Switzerland) · 2025Article
- High B7-H3 protein expression in Medulloblastoma is associated with metastasis and unfavorable patient outcomes.Diagnostic pathology · 2025Article
- Targeting the MYCN-MDM2 pathways for cancer therapy: Are they druggable?Genes & diseases · 2025Review
- The importance of basic and translational research in caring for children with malignant solid tumors in Latin America.Revista panamericana de salud publica = Pan American journal of public health · 2024Review
- Digital expression profile of immune checkpoint genes in medulloblastomas identifies CD24 and CD276 as putative immunotherapy targets.Frontiers in immunology · 2023Article
- High frequency of WNT-activated medulloblastomas withFrontiers in oncology · 2023Article
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Authors and funding
23 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMedulloblastoma is the most frequent pediatric malignant brain tumor, and is divided into four main subgroups: WNT, SHH, group 3, and group 4. MYCN amplification is an important medulloblastoma prognostic biomarker. We aimed to molecular classify and predict MYCN amplification in a single assay.
methodsIt was included 209 medulloblastomas from 205 patients (Brazil, Argentina, and Portugal), divided into training (n = 50) and validation (n = 159) sets. A nCounter assay was carried out using a custom panel for molecular classification, with additional genes, including MYCN. nSolver 4.0 software and the R environment were used for profiling and MYCN mRNA analysis. MYCN amplification by FISH was performed in 64 cases.
resultsThe 205 medulloblastomas were classified in SHH (44.9%), WNT (15.6%), group 3 (18.1%) and group 4 (21.4%). In the training set, MYCN amplification was detected in three SHH medulloblastomas by FISH, which showed significantly higher MYCN mRNA counts than non-FISH amplified cases, and a cutoff for MYCN amplification was established ([Formula: see text] + 4σ = 11,124.3). Applying this threshold value in the validation set, we identified MYCN mRNA counts above the cutoff in three cases, which were FISH validated.
conclusionWe successfully stratified medulloblastoma molecular subgroups and predicted MYCN amplification using a single nCounter assay without the requirement of additional biological tissue, costs, or bench time.
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