Over the past few years several drugs that target epigenetic modifications have shown clinical benefits, thus seemingly validating epigenetic cancer therapy. More recently, however, it has become clear that these drugs are either characterized by low specificity or that their target enzymes have low substrate specificity. As such, clinical proof‐of‐concept for epigenetic cancer therapies remains to be established. Human cancers are characterized by widespread changes in their genomic DNA methylation and histone modification patterns. Epigenetic cancer therapy aims to restore normal (...) epigenetic modification patterns through the inhibition of epigenetic modifier enzymes. In this review, we provide an overview about the known functional roles of DNA methyltransferases, histone deacetylases, histone methyltransferases, and demethylases in cancer development. The available data identify several examples that warrant further consideration as drug targets. Future research should be directed toward targeted enzyme inhibition and toward exploring interactions between epigenetic pathways to maximize cancer specificity. (shrink)

Here I present and discuss a model that, among other things, appears able to describe the dynamics of cancer cell origin from the perspective of stable and unstable gene expression profiles. In identifying suchaberrantgene expression profiles as lying outside the normal stable states attracted through development and normal cell differentiation, the hypothesis explains why cancer cells accumulate mutations, to which they are not robust, and why these mutations create a new stable state far from the normal gene expression profile space. (...) Such cells are in strong contrast with normal cell types that appeared as an attractor state in the gene expression dynamical system under cell‐cell interaction and achieved robustness to noise through evolution, which in turn also conferred robustness to mutation. In complex gene regulation networks, otheraberrantcellular states lacking such high robustness are expected to remain, which would correspond to cancer cells. (shrink)