High levels of PROM1 (CD133) transcript are a potential predictor of poor prognosis in medulloblastoma

Alessandro Raso, Samantha Mascelli, Roberto Biassoni, Paolo Nozza, Marcel Kool, Angela Pistorio, Elisabetta Ugolotti, Claudia Milanaccio, Sara Pignatelli, Manuela Ferraro, Marco Pavanello, Marcello Ravegnani, Armando Cama, Maria Luisa Garré, Valeria Capra

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33 Citaten (Scopus)

Samenvatting

The surface marker PROM1 is considered one of the most important markers of tumor-initiating cells, and its expression is believed to be an adverse prognostic factor in gliomas and in other malignancies. To date, to our knowledge, no specific studies of its expression in medulloblastoma series have been performed. The aims of our study were to evaluate the expression profile of the PROM1 gene in medulloblastoma and to assess its possible role as a prognostic factor. The PROM1 gene expression was evaluated by quantitative-polymerase chain reaction on 45 medulloblastoma samples by using specific dye-labeled probe systems. A significantly higher expression of PROM1 was found both in patients with poorer prognosis (P =.007) and in those with metastasis (P =.03). Kaplan-Meier analysis showed that both overall survival (OS) and progression-free survival (PFS) were shorter in patients with higher PROM1 mRNA levels than in patients with lower expression, even when the desmoplastic cases were excluded (P =.0004 and P =.002, for OS and PFS for all cases, respectively; P =.002 and P =.008 for OS and PFS for nondesmoplastic cases, respectively). Cox regression model demonstrated that PROM1 expression is an independent prognostic factor (hazard ratio, 4.56; P =.008). The result was validated on an independent cohort of 42 cases by microarray-based analysis (P =.019). This work suggests that high mRNA levels of PROM1 are associated with poor outcome in pediatric medulloblastoma. Furthermore, high PROM1 expression levels seem to increase the likelihood of metastases. Such results need to be confirmed in larger prospective series to possibly incorporate PROM1 gene expression into risk classification systems to be used in the clinical setting.

Originele taal-2Engels
Pagina's (van-tot)500-508
Aantal pagina's9
TijdschriftNeuro-Oncology
Volume13
Nummer van het tijdschrift5
DOI's
StatusGepubliceerd - mei 2011
Extern gepubliceerdJa

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