A study in The Journal of Cell Biology reveals that the microRNA miR-7 suppresses gastric (stomach) cancer by inhibiting a key signaling pathway, and that this protective mechanism is compromised by the cancer-causing bacterium H. pylori. Finding drugs capable of inducing miR-7 could therefore prove to be an effective treatment against the progression of gastric cancer.
Gastric cancer is the fourth most common cancer and the third leading cause of cancer-related deaths worldwide, according to the National Institutes of Health. miR-7, which is frequently decreased in gastric cancers, can stop the cancer cells from spreading to other tissues by inhibiting a particular growth factor receptor (called IGF1R). Whether miR-7 also suppresses earlier stages of gastric cancer is unknown, however, so researchers in China screened for new targets of the microRNA.
Dai-Ming Fan and colleagues found that miR-7 directly targets the genes RELA and FOS, which encode proteins involved in the pro-oncogenic NF-κB and AP-1 signaling pathways, respectively. In human gastric cancer samples, low miR-7 levels correlated with elevated levels of RELA and FOS proteins and poor patient survival. Increasing levels of miR-7 reduced RELA and FOS levels and inhibited tumor growth in mice.
The researchers found that, as well as directly suppressing RELA expression, miR-7 could control the protein's activation by targeting its upstream kinase (IKKε) in the NF-κB pathway. Yet, this same pathway was itself able to repress miR-7 expression, indicating that miR-7 would be unable to restrain RELA's activity if the NF-κB pathway were strongly activated.
Chronic H. pylori infection is a major risk factor for gastric cancer, in part because the bacterium can hyperactivate the NF-κB pathway. Accordingly, Fan and colleagues found that culturing H. pylori with gastric cells activated IKKε and RELA, and reduced the expression of miR-7, a potentially key step in the transformation of healthy gastric cells into malignant ones.
Zhao, X.-D., et al. 2015. J. Cell Biol. http://dx.
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