GBM-associated mutations and altered protein expression are more common in young patients

Sherise D. Ferguson, Joanne Xiu, Shiao Pei Weathers, Shouhao Zhou, Santosh Kesari, Stephanie E. Weiss, Roeland G. Verhaak, Raymond J. Hohl, Geoffrey R. Barger, Sandeep K. Reddy, Amy B. Heimberger

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Background: Geriatric glioblastoma (GBM) patients have a poorer prognosis than younger patients, but IDH1/2 mutations (more common in younger patients) confer a favorable prognosis. We compared key GBM molecular alterations between an elderly (age ≥ 70) and younger (18 < = age < = 45) cohort to explore potential therapeutic opportunities. Results: Alterations more prevalent in the young GBM cohort compared to the older cohort (P < 0.05) were: overexpression of ALK, RRM1, TUBB3 and mutation of ATRX, BRAF, IDH1, and TP53. However, PTEN mutation was significantly more frequent in older patients. Among patients with wild-type IDH1/2 status, TOPO1 expression was higher in younger patients, whereas MGMT methylation was more frequent in older patients. Within the molecularly-defined IDH wild-type GBM cohort, younger patients had significantly more mutations in PDGFRA, PTPN11, SMARCA4, BRAF and TP53. Methods: GBMs from 178 elderly patients and 197 young patients were analyzed using DNA sequencing, immunohistochemistry, in situ hybridization, and MGMT-methylation assay to ascertain mutational and amplification/expressional status. Conclusions: Significant molecular differences occurred in GBMs from elderly and young patients. Except for the older cohort's more frequent PTEN mutation and MGMT methylation, younger patients had a higher frequency of potential therapeutic targets.

Original languageEnglish (US)
Pages (from-to)69466-69478
Number of pages13
JournalOncotarget
Volume7
Issue number43
DOIs
StatePublished - 2016

Keywords

  • DNA sequencing
  • GBM
  • Mutational analysis

ASJC Scopus subject areas

  • Oncology

MD Anderson CCSG core facilities

  • Bioinformatics Shared Resource
  • Biostatistics Resource Group

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