ArticleJournal of molecular neuroscience : MN2013
Novel gene expression model for outcome prediction in paediatric medulloblastoma.
Article in Journal of molecular neuroscience : MN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Investigation of YAP-1, OTX-2, and nestin protein expressions in neuroblastoma: a preliminary study.Annals of clinical and translational neurology · 2024Article
- Genetic Regulation of Vertebrate Forebrain Development by Homeobox Genes.Frontiers in neuroscience · 2022Review
- Atonal bHLH transcription factor 1 is an important factor for maintaining the balance of cell proliferation and differentiation in tumorigenesis.Oncology letters · 2020Review
- The ubiquitin-proteasome system and chromosome 17 in cerebellar granule cells and medulloblastoma subgroups.Cellular and molecular life sciences : CMLS · 2017Review
- OTX1 Contributes to Hepatocellular Carcinoma Progression by Regulation of ERK/MAPK Pathway.Journal of Korean medical science · 2016Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medulloblastoma is the most frequent type of embryonal tumour in the paediatric population. The disease progression in patients with this tumour may be connected with the presence of stem/tumour-initiating cells, but the precise source and characteristics of such cells is still a subject of debate. Thus, we tried to analyse biomarkers for which a connection with the presence of stem/tumour-initiating cells was suggested. We evaluated the transcriptional level of the ATOH1, FUT4, NGFR, OTX1, OTX2, PROM1 and SOX1 genes in 48 samples of medulloblastoma and analysed their usefulness in the prediction of disease outcome. The analyses showed a strong correlation of PROM1, ATOH1 and OTX1 gene expression levels with the outcome (p ≤ 0.2). On the basis of the multivariate Cox regression analysis, we propose a three-gene model predicting risk of the disease, calculated as follows: RS(risk score) =( 0:81 x PROM1) + (0:18 x OTX1) + (0:02 x ATOH1). Survival analysis revealed a better outcome among standard-risk patients, with a 5-year survival rate of 65 %, compared to the 40 % rate observed among high-risk patients. The most promising advantage of such molecular analysis consists in the identification of molecular markers influencing clinical behaviour, which may in turn be useful in therapy optimization.
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