Abstract 4233: MeTA-array, a useful method to identify genes transcriptionally silenced by tumor-specific hypermethylation in cancer.
Authors: Shinichi Fukushige, Akira Horii
Journal: Cancer Research (2013)

Abstract Aberrant DNA hypermethylation, the most well defined epigenetic changes in cancer, is associated with inappropriate gene silencing and this feature is utilized to search for tumor-specific DNA methylation biomarkers. Methyl-CpG binding domain (MBD) proteins (MBPs) can elicit the repressive potential of methylated DNA and play a major role in gene silencing mechanisms. Therefore, if the genes governed by MBPs are specifically reactivated, it should be possible to uncover them. We developed a method termed “methyl-CpG targeted transcriptional activation (MeTA)” that employs a fusion gene comprised of the MBD from MBD2 and the NFκB transcriptional activation domain. Microarray coupled with MeTA (MeTA-array) provides not only the information about methylated genes but also the one about transcriptional repression in a single experiment. We first applied either MeTA or a conventional DNA demethylating agent, 5-aza-cytidine (Aza-CR), to a human embryonic kidney cell line 293T and analyzed gene expression profiles by microarray; 138 and 202 genes that are upregulated 5-fold or more were identified by MeTA and Aza-CR, respectively. ChIP-Seq analysis indicated that MeTA-inducing protein containing MBD binds to more than 80% of genes selected by MeTA-array. We found associations between expressional restorations by MeTA, methylation status, and NFκB (AD)-MBD fusion protein bindings in CpG islands (CGIs) around the transcription start site of the genes. Importantly, MeTA can upregulate genes meeting the stringent criteria of CGIs defined by Takai and Jones (Proc Natl Acad Sci USA 99: 3740-3745, 2002) at the promoter region at higher frequency; 109 of 138 (79.0%) genes in MeTA vs. 121 of 202 (59.9%) genes in Aza-CR. We further applied MeTA-array to 12 pancreatic cancer cell lines along with HPDE (normal pancreatic ductal epithelial cell line) and identified 31 candidate tumor-specific hypermethylated genes; 26 of them have never been reported previously using the conventional DNA demethylating agents. Seven genes, IRX4, LHX6, NEFH, NEFL, NEFM, NPTX2 and TMEM204 were further examined their methylation statuses by MSP, and we found that 100% (21/21) of IRX4, 62% (13/21) of LHX6, 100% (21/21) of NEFH, 100% (21/21) of NEFL, 100% (21/21) of NEFM, 100% (21/21) of NPTX2 and 95% (20/21) of TMEM204 were methylated in our series of pancreatic cancer cell lines. Furthermore, 68% (15/22) of IRX4, 55% (12/22) of LHX6, 55% (12/22) of NEFH, 59% (23/22) of NEFL, 82% (18/22) of NEFM and 82% (18/22) of NPTX2 were also hypermethylated in primary pancreatic cancer specimens in a tumor-specific manner. Our results suggest that MeTA-array is a highly efficient method to identify methylation-mediated transcriptionally silenced genes in human cancer. Citation Format: Shinichi Fukushige, Akira Horii. MeTA-array, a useful method to identify genes transcriptionally silenced by tumor-specific hypermethylation in cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4233. doi:10.1158/1538-7445.AM2013-4233