Recent evidence indicate that small non-coding RNA molecules, called micro-RNAs (miRNAs), can bind to the 3' untranslated regions (UTRs) of messenger RNAs and interfere with their translation, thereby regulating cell growth, differentiation, apoptosis and tumorigenesis. Genetic polymorphisms can reside on miRNA-binding sites. Thus, it is conceivable that the miRNA regulation may be affected by polymorphisms on the 3' UTRs. Since gene deregulation is one of the key mechanisms by which cells can progress to cancer, we hypothesize that common polymorphisms within miRNA-target binding sites could play a role in the individual risk of cancer. In the present study, we selected the 3' UTRs of 104 genes candidate for colorectal cancer (CRC) and we identified putative miRNA-binding sites by specialized algorithms (PicTar, DianaMicroT, miRBase, miRanda, TargetScan and microInspector). Fifty-seven single-nucleotide polymorphisms (SNPs) were identified in miRNA-binding sites. We evaluated the SNPs for their ability to affect the binding of the miRNA with its target, by assessing the variation of Gibbs free energy between the two alleles of each SNP. We found eight common polymorphisms that were further investigated by a case-control association studies. The study was carried out on a series of cases and controls from Czech Republic, a population with the highest worldwide incidence of CRC. We found statistically significant associations between risk of CRC and variant alleles of CD86 [odds ratio (OR) = 2.74; 95% confidence interval (CI) = 1.24-6.04, for the variant homozygotes] and INSR genes (OR = 1.94; 95% CI = 1.03-3.66, for the variant homozygotes). These results are the first reporting positive association between miRNA-binding SNPs sequences and cancer risk.

Hepatocellular carcinoma (HCC) is the fifth most common malignancy caused by environmental and genetic factors. MicroRNAs (miRNAs) are a class of short non-coding RNAs with posttranscriptional regulatory functions. They participate in diverse biological pathways and function as gene regulators. Genetic polymorphisms in 3' untranslated regions (3' UTRs) targeted by miRNAs alter the strength of miRNA binding, with consequences on regulation of target genes thereby affecting the individual's cancer risk. We have previously predicted polymorphisms falling in miRNA-binding regions of cancer genes. We selected an insertion/deletion (Indel) polymorphism (rs3783553) in the 3' UTR of interleukin (IL)-1alpha (IL1A) for a case-control study in a Chinese population. With samples from 403 HCC patients and 434 healthy control individuals, strong evidence of association was observed for the variant homozygote. This association was validated in a second independent case-control study with 1074 HCC patients and 1239 healthy control individuals (odds ratio = 0.62; 95% confidence interval = 0.49-0.78). We further show that the 'TTCA' insertion allele for rs3783553 disrupts a binding site for miR-122 and miR-378, thereby increasing transcription of IL-1alpha in vitro and in vivo. These findings suggest that functional polymorphism rs3783553 in IL1A could contribute to HCC susceptibility. Considering IL-1alpha affects not only various phases of the malignant process, such as carcinogenesis, tumor growth and invasiveness, but also patterns of interactions between malignant cells and the host's immune system, our results indicated that IL-1alpha may be a promising target for immunotherapy, early diagnosis and intervention of HCC.

Recent evidence indicates that small, nonprotein-coding RNA molecules, called microRNAs (miRNAs), control cell growth, differentiation, and apoptosis, and are also involved in tumorigenesis. miRNAs can bind to the 3' untranslated regions (3'UTRs) of messenger RNAs and interfere with their translation. We hypothesized that common polymorphisms within their genes or within their targets could have an important impact for an individual's risk to develop complex diseases. In this study, we selected the 3'UTRs of 129 genes involved in pathways commonly acknowledged as important for cancer, and we identified putative miRNA-binding sites by means of specialized algorithms (PicTar, DIANA-MicroT, miRBase, miRanda, TargetScan, and MicroInspector). Then we investigated 79 single-nucleotide polymorphisms (SNPs) within the putative binding sites for their ability to affect or impair the binding with the miRNA by assessing the DeltaDeltaG, the variation of DeltaG (Gibbs free energy), through comparing the wild-type and their corresponding variant alleles. Moreover, we reported seven identified SNPs in seven pre-miRNA hairpin regions and one SNP in the mature sequence of miR-608. Considering the validation status of the SNPs and their frequencies, we found at least 23 candidate polymorphisms of biological relevance that we propose for further investigation in case-control association studies.