A cohort study of tumoral LINE-1 hypomethylation and prognosis in colon cancer

J Natl Cancer Inst. 2008 Dec 3;100(23):1734-8. doi: 10.1093/jnci/djn359. Epub 2008 Nov 25.


Genome-wide DNA hypomethylation plays has an important role in genomic instability and colorectal carcinogenesis. However, the relationship between cellular DNA methylation level and patient outcome remains uncertain. Using 643 colon cancers in two independent prospective cohorts, we quantified DNA methylation in repetitive long interspersed nucleotide element-1 (LINE-1) elements using pyrosequencing, which is a good indicator of global DNA methylation level. We used Cox proportional hazard models to calculate hazard ratios (HRs) of colon cancer-specific and overall mortality, adjusting for patient and tumoral features, including CpG island methylator phenotype (CIMP). Statistical tests were two-sided. LINE-1 hypomethylation was linearly associated with a statistically significant increase in colon cancer-specific mortality (for a 30% decrease in LINE-1 methylation: multivariable HR = 2.37, 95% confidence interval [CI] = 1.42 to 3.94; P(trend) < .001) and overall mortality (multivariable HR = 1.85, 95% CI = 1.25 to 2.75; P(trend) = .002). The association was consistent across the two independent cohorts and strata of clinical and molecular characteristics, including sex, age, tumor location, stage, and CIMP, microsatellite instability, KRAS, BRAF, p53, and chromosomal instability status. In conclusion, tumoral LINE-1 hypomethylation is independently associated with shorter survival among colon cancer patients.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Biomarkers, Tumor / genetics*
  • Cohort Studies
  • Colonic Neoplasms / diagnosis
  • Colonic Neoplasms / genetics*
  • Colonic Neoplasms / mortality*
  • DNA Methylation*
  • DNA, Neoplasm / analysis*
  • Female
  • Humans
  • Long Interspersed Nucleotide Elements / genetics*
  • Male
  • Middle Aged
  • Prognosis
  • Prospective Studies
  • Sequence Analysis, DNA
  • Survival Analysis


  • Biomarkers, Tumor
  • DNA, Neoplasm