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Updated: Jul 18, 2026
Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
Prognostic significance of p16(INK4a) hypermethylation in non-small cell lung cancer is evident by quantitative DNA
Naohiro Ota1, Kazuyuki Kawakami, Toshiyuki Okuda
1Department of Surgery, Kanazawa University School of Medicine, Ishikawa 920-8641, Japan.
Background:
p16(INK4a) is a tumor suppressor gene frequently inactivated by aberrant promoter hypermethylation. In the present study, p16(INK4a) methylation was evaluated in non-small cell lung cancer (NSCLC) using a quantitative assay and the clinical significance of the methylation was explored.
Materials And Methods:
A total of 244 tumor samples from formalin-fixed paraffin-embedded archives were examined in this study. p16(INK4a) methylation was analyzed by the fluorescence-based, real-time methylation-specific PCR assay, MethyLight. The quantitative methylation value was expressed as the percentage of methylated reference (PMR).
Results:
The median level of p16(INK4) methylation was 0.55 PMR (range 0.00-503.4). The p16(INK4) methylation value was significantly higher in males (p = 0.005) and in squamous cell carcinoma (p = 0.018). Prognostic analysis using the Cox proportional hazard model showed that the p16(INK4a) methylation value was a significant prognostic factor (odds ratio, 1.005; 95% CI, 1.003 to 1.008; p < 0.0001). The p16(INK4a) methylation value remained a significant prognostic factor (p = 0.0004) in multivariate analysis including age, gender, histological type and clinical stage. Specimens were then classified into hypermethylated or non-hypermethylated groups based on the p16(INK4a) methylation value using various cut-offs from 1 to 100 PMR. There was no significant difference in prognosis between the two groups using a cut-off value of 1 PMR. On the other hand, there was a significant difference using 6 PMR or more as the cut-off value (p < 0.01).
Conclusion:
These results provide clear evidence for the prognostic significance of p16(INK4a) methylation in NSCLC using quantitative DNA methylation analysis. Careful assessment of DNA methylation is needed because qualitative methylation analysis may overestimate low levels of methylation, which have less clinical significance.
