Oncogenomics: prospects for the future

Genomics has generated a wealth of data that is now being used to identify additional molecular alterations associated with cancer development. Mapping these alterations in the cancer genome is a critical first step in dissecting oncological pathways. There are two ways in which cancer research has changed in recent years. The first is the progressive elucidation of the genomic basis of cancer. This has been accomplished by the generation of detailed information using procedures such as global expression profiling. The second is a renewed emphasis on the role of epigenetic modifications in the etiology of cancer. Changes in DNA methylation and chromatin modification patterns are some of the epigenetic factors that cause gene deregulation in cancer. In this article, current and evolving genomic applications and the hypotheses underlying the modality for cancer therapy will be reviewed.     

Evidence of a conserved functional role for DNA methylation in termites

Many organisms are capable of developing distinct phenotypes from the same genotype. This developmental plasticity is particularly prevalent in insects, which can produce alternate adaptive forms in response to distinct environmental cues. The ability to develop divergent phenotypes from the same genotype often relies on epigenetic information, which affects gene function and is transmitted through cell divisions. One of the most important epigenetic marks, DNA methylation, has been lost in several insect lineages, yet its taxonomic distribution and functional conservation remain uninvestigated in many taxa. In the present study, we demonstrate that the signature of high levels of DNA methylation exists in the expressed genes of two termites, Reticulitermes flavipes and Coptotermes formosanus. Further, we show that DNA methylation is preferentially targeted to genes with ubiquitous expression among morphs. Functional associations of DNA methylation are also similar to those observed in other invertebrate taxa with functional DNA methylation systems. Finally, we demonstrate an association between DNA methylation and the long‐term evolutionary conservation of genes. Overall, our findings strongly suggest DNA methylation is present at particularly high levels in termites and may play similar roles to those found in other insects.     

Epigenetically downregulated Semaphorin 3E contributes to gastric cancer

Axon guidance protein Semaphorin 3E (Sema3E) promotes tumor metastasis and suppresses tumor cell death. Here, we demonstrated that Sema3E was decreased in gastric cancer. Its levels were inversely associated with tumor progression. Levels of Sema3E were associated with low p300 and high class I histone deacetylase (class I HDAC). Ectopic expression of Sema3E inhibited proliferation and colony formation of gastric cancer cell lines in vitro and xenografts in vivo. Sema3E overexpression inhibited migration and invasion of gastric cancer cells, which was associated with induction of E-cadherin and reduction of Akt and ERK1/2 phosphorylation. We suggest that silencing of Sema3E contributes to the pathogenesis of gastric cancer.     

Integrative modeling of multi‐platform genomic data under the framework of mediation analysis

Given the availability of genomic data, there have been emerging interests in integrating multi‐platform data. Here, we propose to model genetics (single nucleotide polymorphism (SNP)), epigenetics (DNA methylation), and gene expression data as a biological process to delineate phenotypic traits under the framework of causal mediation modeling. We propose a regression model for the joint effect of SNPs, methylation, gene expression, and their nonlinear interactions on the outcome and develop a variance component score test for any arbitrary set of regression coefficients. The test statistic under the null follows a mixture of chi‐square distributions, which can be approximated using a characteristic function inversion method or a perturbation procedure. We construct tests for candidate models determined by different combinations of SNPs, DNA methylation, gene expression, and interactions and further propose an omnibus test to accommodate different models. We then study three path‐specific effects: the direct effect of SNPs on the outcome, the effect mediated through expression, and the effect through methylation. We characterize correspondences between the three path‐specific effects and coefficients in the regression model, which are influenced by causal relations among SNPs, DNA methylation, and gene expression. We illustrate the utility of our method in two genomic studies and numerical simulation studies. Copyright © 2014 John Wiley & Sons, Ltd.     

Influence of middle-distance running on muscular micro RNAs

A specific subset of micro RNAs (miRs), including miR-133 and miR-206, is specifically expressed in muscle tissue, so that they are currently defined as muscular miRs (myomiRs). To further elucidate the role of myomiRs in muscle biology, we measured miR-133a and miR-206 in plasma of 28 middle-age recreational athletes. The study population consisted of 28 middle aged, recreation athletes (11 women and 17 men; mean age, 46?years) who completed a 21.1?km, half-marathon. The plasma concentration of miR-133a and miR-206, the serum concentration of creatine kinase (CK) and high-sensitivity (HS) cardiac troponin T (cTnT), as well as capillary lactate, were measured before and immediately after the run. The median serum concentration of total CK (257 versus 175?U/L; p?p??4; p??4; p?=?.001) were considerably increased immediately after the half-marathon run. In multivariate analysis only post-exercise capillary lactate was found to be independently associated with running time. A significant and independent correlation was observed between plasma variations of the two miRs, but not with other physiological or laboratory parameters. The results of this study suggest that the biological significance of miR-133a and 206 variation after middle-distance running parallels but not overlaps the release of biomarkers of nonspecific tissue damage. Enhanced plasma values of these myomiRs may hence reflect a physiological response to high-intensity and/or prolonged exercise rather than tissue injury.