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Open AccessJournal ArticleDOI

Polymorphisms within micro-RNA-binding sites and risk of sporadic colorectal cancer

TLDR
This study selected the 3' UTRs of 104 genes candidate for colorectal cancer and identified putative miRNA-binding sites by specialized algorithms, finding statistically significant associations between risk of CRC and variant alleles of CD86 and INSR genes.
Abstract
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.

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Journal ArticleDOI

Genetic variation in microRNA networks: the implications for cancer research

TL;DR: In reviewing this new field of cancer biology, the methodological approaches of these studies are described, and recommendations for which strategies will be most informative in the future are made.
Journal ArticleDOI

MicroRNA related polymorphisms and breast cancer risk

Sofia Khan, +161 more
- 12 Nov 2014 - 
TL;DR: Five miRNA binding site SNPs associated significantly with breast cancer risk are located in the 3′ UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively, which belongs to miRNA machinery genes and has a central role in initial miRNA processing.
Journal ArticleDOI

Inflammation and cancer: interweaving microRNA, free radical, cytokine and p53 pathways

TL;DR: A general overview of the connection between inflammation, microRNAs and cancer is provided and how improved understanding of these connections may provide novel preventive, diagnostic and therapeutic strategies to reduce the health burden of cancer is highlighted.
Journal ArticleDOI

MicroRNAs in colorectal cancer: translation of molecular biology into clinical application

TL;DR: The knowledge regarding miRNAs' functioning in CRC is summarized while emphasizing their significance in pathogenetic signaling pathways and their potential to serve as disease biomarkers and novel therapeutic targets.
References
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Journal ArticleDOI

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Book

Statistical Methods in Cancer Research

N. E. Breslow
TL;DR: Statistical methods in cancer research as mentioned in this paper, Statistical Methods in Cancer Research, Statistical methods in Cancer research, Statistical methods for cancer research, کتابخانه مرکزی دانشگاه علوم پزش
Journal ArticleDOI

Prediction of Mammalian MicroRNA Targets

TL;DR: The predicted regulatory targets of mammalian miRNAs were enriched for genes involved in transcriptional regulation but also encompassed an unexpectedly broad range of other functions.
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