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Preclinical and clinical implications of TERT promoter mutation in glioblastoma multiforme.

ABSTRACT: The promoter region of the telomerase reverse transcriptase gene (TERT) is mutated in a subpopulation of patients with glioblastoma multiforme (GBM). In the present study, preclinical and clinical implications of the mutation were analyzed in 25 GBMs to evaluate its utility as a therapeutic target. Associations between the TERT promoter mutation and a number of preclinical/clinical characteristics were analyzed. Notably, the TERT promoter mutation was identified in 92.3% of GBMs where dissociated cells revealed in vitro sphere formation capacity; while the TERT promoter mutation was identified in 33.3% of GBMs without in vitro sphere formation capacity (P=0.004). In addition, this significantly increased mutation rate was observed in GBMs with in vivo tumorigenic potential (80% vs. 0%; P=0.004). Furthermore, patients with GBM exhibiting the TERT promoter mutation demonstrated significantly decreased overall survival rate compared with patients lacking this mutation (81.7 vs. 152.6 weeks; P=0.026). The results of the present study indicated that the TERT promoter mutation is associated with the self-renewal capacity of GBM cells and clinical aggressiveness of GBMs, which may be translated to a targeting therapy against TERT to inhibit the self-renewal of GBM cells.

SUBMITTER: Jeong DE

PROVIDER: S-EPMC5755188 | biostudies-other | 2017 Dec

REPOSITORIES: biostudies-other

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Preclinical and clinical implications of TERT promoter mutation in glioblastoma multiforme.

Jeong Da Eun DE Woo Seon Rang SR Nam Hyun H Nam Do-Hyun DH Lee Jae-Ho JH Joo Kyeung Min KM

Oncology letters 20171016 6

The promoter region of the telomerase reverse transcriptase gene (TERT) is mutated in a subpopulation of patients with glioblastoma multiforme (GBM). In the present study, preclinical and clinical implications of the mutation were analyzed in 25 GBMs to evaluate its utility as a therapeutic target. Associations between the TERT promoter mutation and a number of preclinical/clinical characteristics were analyzed. Notably, the TERT promoter mutation was identified in 92.3% of ...[more]

PMID: 29344264

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Project description:Congenital glioblastoma multiforme (cGBM) historically has been considered an aggressive tumor of infancy requiring extensive chemotherapy to achieve cure. We report on 4 patients at our institution with cGBMs who were treated with surgery and chemotherapy (carboplatin and etoposide every 21 days for 2-6 cycles). Four of four patients are progression free at a median time of 27.5 months (22-103 months). To characterize the molecular biology of cGBM, we compared the gene expression profiles of 3 cGBMs to 12 pediatric and 6 primary adult glioblastomas collected at our institution. Unsupervised hierarchical clustering showed cGBMs grouped together with other high-grade gliomas. cGBMs demonstrated marked similarity to both pediatric and adult GBMs, with only a total of 31 differentially expressed genes identified (FDR < 0.05). Unique molecular features of congenital GBMs identified included over-expression of multiple genes involved in glucose metabolism and tissue hypoxia pathways. Four tyrosine kinases were also mong the up-regulated genes (RET, RASGRF2, EFNA5, ALK). Thus, at our institution congenital GBMs, while similar both histologically and molecularly to other GBMs, appear to have a good prognosis with surgery in combination with relatively moderate chemotherapy. Further study is needed to determine if the few gene expression differences that were identified may contribute to the better survival seen in these tumors compared to pediatric or adult GBMs. Key Words: glioblastoma; congenital; pediatric; gene expression; microarray Molecular profiling of 18 AT/RT patient tumor samples was performed using Affymetrix U133 Plus2 GeneChips. Data were background corrected and normalized using gcRMA (as implemented in Bioconductor). Unsupervised agglomerative hierarchical clustering was performed to identify subsets of AT/RTs with similar gene expression. Limma (moderated t-tests; Bioconductor) was used to identify signature genes for each cluster. Bioinformatics web tool DAVID was used to identify enriched biological processes for each cluster. Survival was analyzed using Kaplan-Meier curves and Cox Hazard Ratio. Bioinformatics tools Gene Set Enrichment (GSEA) and Ingenuity Pathways Analysis were also used to gain further insight into cluster differences.

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Preclinical and clinical implications of TERT promoter mutation in glioblastoma multiforme.

Publications

Preclinical and clinical implications of <i>TERT</i> promoter mutation in glioblastoma multiforme.

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