Inflammation, among environmental risk factors, is one of the most important contributors to colorectal cancer (CRC) development. In this way, studies revealed that the incidence of CRC in inflammatory bowel disease patients is up to 60% higher than the general population. MicroRNAs (miRNAs), small noncoding RNA molecules, have attracted excessive attention due to their fundamental role in various aspects of cellular biology, such as inflammation by binding to the 3′-untranslated regions (3′-UTR) of pro and anti-inflammatory genes. Based on multiple previous studies, SNPs at 3′-UTR can affect miRNA recognition elements by changing the thermodynamic features and secondary structure. This effect can be categorized, based on the number of changes, into four groups, including break, decrease, create, and enhance. In this paper, we will focus on functional variants in miRNA binding sites in inflammatory genes, which can modulate the risk of CRC by both investigating previous studies, regarding miRSNPs in inflammatory genes associated with CRC and recruiting in silico prediction algorithms to report putative miRSNPs in 176 inflammatory genes. In our analysis, we achieved 110 miRSNPs in 3′-UTR of 67 genes that seem good targets for future researches.

在环境危险因素中，炎症是导致结直肠癌 (CRC) 发展的最重要因素之一。这样，研究表明炎症性肠病患者的CRC发病率比一般人群高出60%。MicroRNAs (miRNAs) 是一种小的非编码 RNA 分子，由于它们在细胞生物学的各个方面的基本作用而引起了过多的关注，例如通过与促炎和抗炎药的 3'-非翻译区 (3'-UTR) 结合而引起的炎症基因。基于之前的多项研究，3'-UTR 处的 SNP 可以通过改变热力学特征和二级结构来影响 miRNA 识别元件。这种效果可以根据变化的数量分为四组，包括中断、减少、创建和增强。在本文中，我们将专注于炎症基因中 miRNA 结合位点的功能变异，通过调查以前的研究，关于与 CRC 相关的炎症基因中的 miRSNPs 和招募计算机预测算法以报告 176 个炎症基因中推定的 mirRSNPs，这可以调节 CRC 的风险。在我们的分析中，我们在 67 个基因的 3'-UTR 中获得了 110 个 miRSNP，这似乎是未来研究的良好目标。