Identification of New Genetic Clusters in Glioblastoma Multiforme: EGFR Status and ADD3 Losses Influence Prognosis

Glioblastoma multiforme (GB) is one of the most aggressive tumors. Despite continuous efforts to improve its clinical management, there is still no strategy to avoid a rapid and fatal outcome. amplification is the most characteristic alteration of these tumors. Although effective therapy against it...

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Veröffentlicht in:Cells (Basel, Switzerland) Switzerland), 2020-11, Vol.9 (11), p.2429
Hauptverfasser: Navarro, Lara, San-Miguel, Teresa, Megías, Javier, Santonja, Nuria, Calabuig, Silvia, Muñoz-Hidalgo, Lisandra, Roldán, Pedro, Cerdá-Nicolás, Miguel, López-Ginés, Concha
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Sprache:eng
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Zusammenfassung:Glioblastoma multiforme (GB) is one of the most aggressive tumors. Despite continuous efforts to improve its clinical management, there is still no strategy to avoid a rapid and fatal outcome. amplification is the most characteristic alteration of these tumors. Although effective therapy against it has not yet been found in GB, it may be central to classifying patients. We investigated somatic-copy number alterations (SCNA) by multiplex ligation-dependent probe amplification in a series of 137 GB, together with the detection of vIII and FISH analysis for amplification. Publicly available data from 604 patients were used as a validation cohort. We found statistical associations between amplification and/or vIII, and SCNA in and . Interestingly, we found that both vIII and losses on were independent markers of bad prognosis ( = 0.028 and 0.014, respectively). Finally, we got an unsupervised hierarchical classification that differentiated three clusters of patients based on their genetic alterations. It offered a landscape of co-alterations that may improve the comprehension of the mechanisms underlying GB aggressiveness. Our findings can help in defining different genetic profiles, which is necessary to develop new and different approaches in the management of our patients.
ISSN:2073-4409
2073-4409
DOI:10.3390/cells9112429