The prognostic value of global DNA hypomethylation in cancer: a meta-analysis

PLoS One. 2014 Sep 3;9(9):e106290. doi: 10.1371/journal.pone.0106290. eCollection 2014.

Abstract

Background: Aberrant methylation of the global genome has been investigated as a prognostic indicator in various cancers, but the results are controversial and ambiguous.

Methods and findings: This meta-analysis presents pooled estimates of the evidence to elucidate this issue. We searched the electronic databases: PubMed, Embase, ISI Web of Science and the Cochrane library (up to August 2013) to identify all of the relevant studies. The association between the level of surrogates' indexes of genome-wide hypomethylation (LINE-1, Alu and Sat-α) and the overall survival (OS) of cancer patients was examined. In addition, the pooled hazard ratios (HRs) with their 95% confidence interval (95%CI) were calculated to estimate the influences through fixed-effects and random-effects model. Finally, twenty studies with total population of 5447 met the inclusion criteria. The results indicate that the summary HRs for the studies employing LINE-1, Alu, and Sat-α repetitive elements also show that the global DNA hypomethylation have significant desirable effects on the tumour prognostic value. The pooled HRs (and CIs) of LINE-1, Alu and Sat-α were 1.83 (1.38-2.44), 2.00 (1.16-3.45), and 2.92 (1.04-8.25), with a heterogeneity measure index of I2 (and p-value) shows of 66.6% (p = 0.001), 57.1% (p = 0.053) and 68.2% (p = 0.076) respectively. The meta-regression and subgroup analysis indicated that the percentage of hypomethylated sample of cancer patients is one source of heterogeneity.

Conclusion: Our meta-analysis findings support the hypothesis that the global DNA hypomethylation is associated with a detrimental prognosis in tumour patients.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alu Elements / genetics
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism*
  • DNA Methylation*
  • DNA, Neoplasm / genetics
  • DNA, Neoplasm / metabolism*
  • DNA, Satellite / genetics
  • Epigenesis, Genetic
  • Genome, Human
  • Humans
  • Long Interspersed Nucleotide Elements / genetics
  • Neoplasms / genetics
  • Neoplasms / metabolism*
  • Neoplasms / mortality
  • Neoplasms / pathology
  • Prognosis
  • Survival Analysis

Substances

  • Biomarkers, Tumor
  • DNA, Neoplasm
  • DNA, Satellite

Grants and funding

This work was supported by the National Natural Science Foundation of China (81101562, 81273099), Fundamental Research Funds for the Central Universities (12ykpy13), Foundation of Natural Science of Guangdong Province (S2012010009633), Science and Technology Planning Project of Guangdong Province (2012B060300005), Key Project of Guangzhou Medical and Health Science and Technology (20121A021018), The Project for Key Medicine Discipline Construction of Guangzhou Municipality (2013-2015-07). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.