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Updated: Mar 22, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
Promoter methylations of RASSF1A and p16 is associated with clinicopathological features in lung cancers
Ji-Chang Han, Feng Xu, Na Chen
1Department of Respiration, Huaihe Hospital of Henan University, Kaifeng, People's Republic of China.
Unlabelled:
Objection: The aim of this study is to investigate the association between promoter methylation of RASSF1A and p16 and the clinicopathological features in lung cancers.
Materials And Methods:
PubMed, EBSCO, Ovid, Wiley, Web of Science, Wanfang, and VIP databases were searched using combinations of keywords related to RASSF1A, p16, methylation, and lung cancers. After screening for relevant studies, following a strict inclusion and exclusion criteria; the selected studies were incorporated into the present meta.analysis conducted using Comprehensive Meta Analysis 2.0. (CMA 2.0).
Results:
We initially retrieved 402 studies, out which 13 studies met the inclusion and exclusion criteria for this meta.analysis, and contained a total of 1,259. patients with lung cancers. The results of this meta.analysis showed that the differences in promoter methylation ratio between the lung cancer patients in tumor, node, metastasis. (TNM) I.II and III.IV were not statistically significant. Based on histological types, patients with adenocarcinoma. (AC) and squamous cell carcinoma. (SCC) showed no significant differences in the promoter methylation ratios of RASSF1A, while the promoter methylation ratio of p16 was significantly higher in SCC patients compared to AC patients. Based on smoking status, the promoter methylation ratios of both RASSF1A and p16 was significantly higher in lung cancer patients with smoking history compared to nonsmokers.
Conclusion:
The present meta.analysis provides convincing evidence that the promoter methylation ratio of RASSF1A and p16 is associated with clinicopathological features in lung cancers, and could be used as effective biomarkers in early diagnosis in lung cancers.
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