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Identification of New Genetic Clusters in Glioblastoma Multiforme: EGFR Status and ADD3 Losses Influence Prognosis.
- Source :
-
Cells [Cells] 2020 Nov 06; Vol. 9 (11). Date of Electronic Publication: 2020 Nov 06. - Publication Year :
- 2020
-
Abstract
- 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. EGFR 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 EGFR vIII and FISH analysis for EGFR amplification. Publicly available data from 604 patients were used as a validation cohort. We found statistical associations between EGFR amplification and/or EGFR vIII, and SCNA in CDKN2A, MSH6, MTAP and ADD3 . Interestingly, we found that both EGFR vIII and losses on ADD3 were independent markers of bad prognosis ( p = 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 EGFR 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.
- Subjects :
- Brain Neoplasms pathology
DNA Copy Number Variations genetics
ErbB Receptors metabolism
Female
Gene Amplification
Glioblastoma pathology
Humans
Male
Middle Aged
Prognosis
Signal Transduction genetics
Survival Analysis
Brain Neoplasms genetics
Calmodulin-Binding Proteins metabolism
Glioblastoma genetics
Multigene Family
Subjects
Details
- Language :
- English
- ISSN :
- 2073-4409
- Volume :
- 9
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Cells
- Publication Type :
- Academic Journal
- Accession number :
- 33172155
- Full Text :
- https://doi.org/10.3390/cells9112429