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Authors Meng W, Jiang Y, Ma J
Received 26 April 2017
Accepted for publication 14 July 2017
Published 20 September 2017 Volume 2017:9 Pages 411—425
DOI https://doi.org/10.2147/CMAR.S140447
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Akshita Wason
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Alexandra Fernandes
Background: O6-methylguanine-DNA
methyltransferase (MGMT) is an independent predictor of therapeutic response
and potential prognosis in patients with glioblastoma multiforme (GBM).
However, its significance of clinical prognosis in different continents still
needs to be explored.
Patients and
methods: To explore the effects of MGMT
promoter methylation on both progression-free survival (PFS) and overall
survival (OS) among GBM patients from different continents, a systematic review
of published studies was conducted.
Results: A total of 5103 patients from 53 studies were involved in the systematic
review and the total percentage of MGMT promoter methylation was 45.53%. Of
these studies, 16 studies performed univariate analyses and 17 performed
multivariate analyses of MGMT promoter methylation on PFS. The pooled hazard
ratio (HR) estimated for PFS was 0.55 (95% CI 0.50, 0.60) by univariate
analysis and 0.43 (95% CI 0.38, 0.48) by multivariate analysis. The effect of
MGMT promoter methylation on OS was explored in 30 studies by univariate
analysis and in 30 studies by multivariate analysis. The combined HR was 0.48
(95% CI 0.44, 0.52) and 0.42 (95% CI 0.38, 0.45), respectively.
Conclusion: In each subgroup divided by areas, the prognostic significance
still remained highly significant. The proportion of methylation in each group
was in inverse proportion to the corresponding HR in the univariate and
multivariate analyses of PFS. However, from the perspective of OS, compared
with data from Europe and the US, higher methylation rates in Asia did not
bring better returns.
Keywords: O6-methylguanine-DNA methyltransferase, methylation, glioblastoma,
prognosis, meta-analysis