Association between Promoter Methylation and Non- Small Cell Lung Cancer A Meta-Analysis.pdf

Association between P16INK4a Promoter Methylation and Non-Small Cell Lung Cancer: A Meta-Analysis Jundong Gu1,5., Yanjun Wen2., Siwei Zhu3, Feng Hua4, Hui Zhao5, Hongrui Xu5, Jiacong You1, Linlin Sun1, Weiqiang Wang1, Jun Chen1, Qinghua Zhou1* 1 Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China, 2Department of Neuropathology, Neurology Institute, Tianjin Medical University General Hospital, Tianjin, China, 3Department of Oncology, Tianjin Union Medical Center, Tianjin, China, 4Department of Thoracic Surgery, Shandong Cancer Hospital, Shandong, China, 5Department of Thoracic Surgery, Tianjin Union Medical Center, Tianjin, China Abstract Background: Aberrant methylation of CpG islands acquired in tumor cells in promoter regions plays an important role in carcinogenesis. Accumulated evidence demonstrates P16INK4a gene promoter hypermethylation is involved in non-small cell lung carcinoma (NSCLC), indicating it may be a potential biomarker for this disease. The aim of this study is to evaluate the frequency of P16INK4a gene promoter methylation between cancer tissue and autologous controls by summarizing published studies. Methods: By searching Medline, EMBSE and CNKI databases, the open published studies about P16INK4a gene promoter methylation and NSCLC were identified using a systematic search strategy. The pooled odds of P16INK4A promoter methylation in lung cancer tissue versus autologous controls were calculated by meta-analysis method. Results: Thirty-four studies, including 2 652 NSCLC patients with 5 175 samples were included in this meta-analysis. Generally, the frequency of P16INK4A promoter methylation ranged from 17% to 80% (median 44%) in the lung cancer tissue and 0 to 80% (median 15%) in the autologous controls, which indicated the methylation frequency in cancer tissue was much higher than that in autologous samples. We also find a stron