BMI1作为miR-330-3p在癌症大肠癌中的潜在靶点

Mohammad Hasan Soheilifar, Abdolvahab Moshtaghian, R. Amini, Masoud Asefi, Parviz Basiri, M. Saidijam
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引用次数: 6

摘要

背景:癌症是世界范围内最常见的癌症之一。由于肿瘤内存在癌症干细胞(CSCs),CRC治疗仍然是一个严重的问题。BMI1(B淋巴瘤Mo MLV插入区1同源物)是CSCs自我更新的重要分子之一,也是多梳抑制复合物1的一种成分,其通过肿瘤抑制剂的表观遗传学抑制在刺激细胞周期的进展中发挥重要作用。BMI1是结肠干细胞的标志物,其在结肠直肠癌干细胞中的表达增加。miRNA对BMI1表达的抑制可能是CRC中有前景的治疗选择之一。此外,研究miRNA在肿瘤发生过程中对BMI1表达的调节可能对鉴定CRC的分子机制有价值。我们的目的是对CRC中已知的具有抑制BMI1表达潜力的肿瘤抑制miRNA进行生物信息学分析。方法:在各种miRNA靶点预测数据库中,包括TargetScan、DIANA-microT、PicTar、miRanada、miRtar、mirMAP和miRDB,探索BMI-1作为所选miRNA的潜在靶点的存在。这些数据库基于miRNA靶标相互作用和热力学稳定性等算法(�G) 。根据预测得分选择得分最高的miRNA。结果:根据生物信息学分析,miR-330-3p得分最高。miR-330-3p作为一种新的抑制BMI-1的miRNA,可用于应用研究。结论:与CRC中的其他抑癌miRNA相比,miR-330-3p抑制BMI1的可能性最大。因此,miR-330-3p/BMI1轴的实验验证将有助于鉴定CRC的新疗法和生物标志物。关键词:结直肠癌癌症,miRNA,BMI1,生物信息学
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BMI1 as a Potential Target of miR-330-3p in Colorectal Cancer
Background: Colorectal cancer (CRC) is one of the most common cancers worldwide. CRC therapy is still a serious problem because of the presence of cancer stem cells (CSCs) within the tumor. BMI1 (B lymphoma Mo-MLV insertion region 1 homolog) is one of the important molecules for self-renewal of the CSCs and a component of poly comb repressive complex 1 that plays an important role in stimulating the progression of the cell cycle through epigenetic inhibition of tumor suppressors. BMI1 is a marker of colon stem cells that its expression increases in colorectal CSCs. The inhibition of BMI1 expression by miRNA could be one of the promising treatment options in CRC. Furthermore, investigating the regulation of BMI1 expression by miRNAs during tumorigenesis could be valuable in the identification of molecular mechanisms involved in CRC. Our aim was to conduct a bioinformatics analysis of known tumor suppressor miRNAs in CRC that have a potential to inhibit BMI1 expression. Methods: The presence of BMI-1, as a potential target of the selected miRNAs, was explored in various databases of miRNA target prediction including TargetScan, DIANA-microT, PicTar, miRanada, miRtar, mirMAP, and miRDB. These databases are based on algorithms such as miRNA-target interactions and thermodynamic stability (�G). miRNA with the highest score was selected according to the prediction score. Results: According to bioinformatics analysis, the highest score was derived for miR-330-3p. As a new miRNA to suppress BMI-1, miR-330-3p can be used in applied studies. Conclusions: Compared to other tumor suppressor miRNAs in CRC, miR-330-3p has the greatest probability to inhibit BMI1. Therefore, the experimental validation of miR-330-3p/BMI1 axis would be useful in identifying novel therapeutics and biomarkers in CRC. Keywords: Colorectal Cancer, miRNA, BMI1, Bioinformatics
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