Human protein arginine N-methyltransferase 2 (PRMT2, HRMT1L1) is a protein that belongs to the arginine methyltransferase family, and it has diverse roles in transcriptional regulation through different mechanisms depending on its binding partners. In this study, we provide evidences for the negative effect of PRMT2 on breast cancer cell proliferation in vitro and in vivo. Morever, cyclin D1, one of the key modulators of cell cycle, was found to be downregulated by PRMT2, and PRMT2 was further shown to suppress the estrogen receptor α-binding affinity to the activator protein-1 (AP-1) site in cyclin D1 promoter through indirect binding with AP-1 site, resulting in the inhibition of cyclin D1 promoter activity in MCF-7 cells. Furthermore, a positive correlation between the expression of PRMT2 and cyclin D1 was confirmed in the breast cancer tissues by using tissue microarray assay. In addition, PRMT2 was found to show a high absent percentage in breast caner cell nuclei and the nuclear loss ratio of PRMT2 was demonstrated to positively correlate with cyclin D1 expression and the increasing tumor grade of invasive ductal carcinoma. Those results offer an essential insight into the effect of PRMT2 on breast carcinogenesis, and PRMT2 nuclear loss might be an important biological marker for the diagnosis of breast cancer.

ABSTRACT. Identification of epigenetic alterations in tumors has become a common method for identifying genes critical to cancer development and progression. Thus, we identified DNA methylation alterations on the genome scale during lung adenocarcinoma (LADC) progression to understand the carcinogenic process and identify clinically relevant biomarkers. We found that epigenetic alterations in LADC mainly occur during the early stage of LADC progression, and there are no significant methylation differences between early-stage and late-stage LADCs. This suggests that DNA methylation alterations characterize a turning point of early events in LADC progression. By comparing DNA methylation between early-stage LADCs and normal lung tissues, we further identified 940 genes with significant alterations in DNA methylation. Sixty-seven genes were found to exhibit strong correlation between methylation alterations and expression changes, based on associated gene expression data. According to gene ontology analysis, these genes are involved in lung development, respiratory 9200-9214 (2015) system development, cell cycle, histidine metabolism, the Wnt signaling pathway, and the p53 signaling pathway. We also found that genes on chromosome 18 most frequently showed promoter hypermethylation. Moreover, we found that LADC-associated DNA hypomethylation occurred preferentially at neither histone H3 lysine 4 nor histone H3 lysine 27 mark domains in human embryonic stem cells (NMDs) and that hypomethylation of NMDs was associated with a poor prognostic signature in LADC. Our findings have important implications for LADC progression because of the identification of novel epigenetic biomarkers potentially involved in early-stage LADC and for establishing the importance of NMD DNA hypomethylation for predicting prognosis in LADC.

ABSTRACT. We investigated gene expression in embryonic stem (ES) cells, induced pluripotent stem (iPS) cells, and fibroblasts. Microarray expression data sets obtained from the Gene Expression Omnibus were analyzed using the Partek software. Human genes from ES cells, iPS cells, and fibroblasts were ranked from low to high according to their expression levels. The gene expression mode in iPS cells was much more like the mode in ES cells, and the expression levels of fibroblast genes fluctuated more dramatically than those of iPS and ES cells. The number of genes with significantly different expression was lower in the iPS and ES cells. Several genes with the expression levels that were significantly different between ES and iPS cells were found, including LEFTY2, DLK1, and NLRP2. Four genes belonged to the low expression category in fibroblasts with the high expression category occurring in ES cells, i.e., HESRG, PROM1, NTS, and LRRN1. Analyzing the expression of these genes is helpful to elucidate the mechanisms of cell fate regulation and efficiently obtain iPS cells.

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