Single nCounter assay for prediction of MYCN amplification and molecular classification of medulloblastomas: a multicentric study
Purpose Medulloblastoma 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 as...
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Veröffentlicht in: | Journal of neuro-oncology 2022-03, Vol.157 (1), p.27-35 |
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Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Purpose
Medulloblastoma 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.
Methods
It 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.
Results
The 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 (
X
¯
+ 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.
Conclusion
We 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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ISSN: | 0167-594X 1573-7373 |
DOI: | 10.1007/s11060-022-03965-1 |