Epigenetic changes can lead to abnormal expression of genes in cancer, and several genes have been reported to have aberrant promoter DNA methylation in non-small-cell lung cancer (NSCLC). We identified aberrantly methylated genes in NSCLC by combination of in silico and experimental approaches. We first applied bioinformatics, and from microarray datasets, we selected genes with low expression and having functions related to cancer. Next, combined bisulfite restriction analysis was carried out in 10 pooled resected lung cancer tissues to screen for genes that were aberrantly methylated, and the methylation ratio (the fraction of methylated DNA in extracted DNA from a cancer tissue sample) was quantified using quantitative analysis of methylated alleles. We identified 8 methylated genes (ARPC1B, DNAH9, FLRT2, G0S2, IRS2, PKP1, SPOCK1 and UCHL1) previously unreported in NSCLC. Analyses of methylation profiles of 101 resected lung cancer tissue samples revealed quantitatively low methylation in whole, methylation ratios were almost less than 30% even in the methylated samples, and no significant correlation to prognosis after 2 years of follow-up using hierarchical clustering. DNA methylation of G0S2 gene was significantly more frequent in squamous lung cancer (n 5 18, mean of methylation ratios: 15%) compared with nonsquamous lung cancer (n 5 83, mean of methylation ratios: 2.6%) (Mann-Whitney U test, p < 0.001). DNA methylation of G0S2 can be an important biomarker for squamous lung cancer.
Cancer-specific gene promoter methylation has been described in many types of cancers, and various semiquantified results have shown their usefulness. Here, we show a more sensitive and specific second-generation system for profiling the DNA methylation status. This method is based on bisulfite reaction of DNA and realtime PCR using two TaqMan MGB probes labeled with different fluorescence, followed by clustering analysis. Primers were designed with CpG-less sequences, and TaqMan MGB probes were designed to contain three or four CpG sites and to be shorter than conventional TaqMan probes. We have added new criteria for primer and probe design for further specificity. We confirmed the reliability of this system and applied it to analysis of lung cancers. Using 10 promoters, 90 primary lung cancers were clustered into six groups consisting of cases having similar smoking status and pathological findings. EGFR mutation and p16 promoter DNA methylation were exclusive, as previously reported; however, DNA methylation in other genes was unrelated to EGFR mutation. This system was also useful to distinguish double primary lung cancers from a single cancer with intrapulmonary metastasis. As above, our system has widespread availability in clinical use and biological research.
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