肿瘤受体(miR-21、miR-15和miR-let-7)调控abc转运体基因表达在乳腺癌药物外排和化疗耐药中的作用

Q3 Mathematics
B. Khalaf, A. Suleiman, M. Suwaid
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引用次数: 1

摘要

乳腺癌是女性中最常见和最具侵袭性的恶性肿瘤,全球患病率高达7790万。化疗和酪氨酸激酶抑制剂已被用于治疗侵袭性和恶性肿瘤;然而,侵袭性肿瘤已经显示出对常规治疗的耐药性。ABC转运蛋白由于其耐化疗和药物外排能力在乳腺癌中起着至关重要的作用。此外,ABC转运蛋白在宫颈癌、结肠癌、食管鳞状细胞癌、胶质瘤和HCC等多种癌症中的耐药作用也有报道。本研究的目的是确定miR-21、miR-15和miR-let-7在乳腺癌中对化疗耐药基因(主要是ABCA1、ABCB1和ABCC1)的抑瘤作用。TargetScan、miRWalk和miRDB被用来预测microRNA-mRNA的相互作用。利用MC-Sym和RNAComposer对入围的mirna和mrna进行三级结构预测。分子对接和可视化采用HDOCK和PyMOL。本研究通过miRWalk、miRDB和TargetScan分别鉴定了microrna (miR-21、miR-15和miR-let-7)与癌基因(ABCA1、ABCB1、ABCC1)之间的10、7和13种相互作用。RNA22分别预测了22 miR-21、11 miR-15和58 miR-let-7等microrna在ABCA1、ABCB1和ABCC1上的结合位点。在多个对接配合物中,根据最大置信度评分和最小结合亲和力,将前3名列入可视化候选名单。本研究确定了两种新型microrna (miR-15a-5p和let-7c-5p)与ABCA1、ABCB1和ABCC1区域的相互作用,因为它们的相互作用最大。本研究结果可能有助于开发靶向ABC转运蛋白ABCA1、ABCB1和ABCC1的miRNA药物,以抑制乳腺癌中增加的药物外排和化疗耐药。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-silico Elucidation of the Role of ABC-Transporter Genes Expression Regulation by OncomiRs (miR-21, miR-15, and miR-let-7) in Drug Efflux and Chemoresistance in Breast Cancer
Breast cancer is the most common and aggressive malignancy in females with a high prevalence rate of 77.9 million worldwide. Chemotherapy and tyrosine kinase inhibitors have been used to treat invasive and malignant tumors; however, invasive tumors have showed resistance to conventional therapies. ABC transporters play a crucial role in breast cancer due to their chemo-resistance and drug efflux abilities. Additionally, chemo-resistant roles of ABC transporters have been reported in several cancers such as cervical cancer, colon cancer, esophageal squamous cell carcinoma, glioma and HCC. The goal of this study was to identify the tumor suppressor role of miR-21, miR-15 and miR-let-7 to chemo-resistant genes majorly ABCA1, ABCB1 and ABCC1 in breast cancer. TargetScan, miRWalk, and miRDB were employed to predict microRNA-mRNA interactions. MC-Sym and RNAComposer were utilized for the tertiary structure prediction of shortlisted miRNAs and mRNAs. For molecular docking and visualization, HDOCK and PyMOL were employed. The present study identified 10, 7 and 13 interactions between microRNAs (miR-21, miR-15, and miR-let-7) and oncogenes (ABCA1, ABCB1, ABCC1) through miRWalk, miRDB and TargetScan respectively. RNA22 predicted the binding sites of microRNAs such as 22 miR-21, 11 miR-15 and 58 miR-let-7 on ABCA1, ABCB1 and ABCC1, respectively. Out of multiple docked complexes, the top 3 were shortlisted for visualization based on maximum confidence score and least binding affinity. The present study identifies the interactions of two novel (miR-15a-5p and let-7c-5p) microRNAs with ABCA1, ABCB1 and ABCC1 regions due to their maximum interactions. The findings of this research may help in developing miRNA drugs that could target ABC transporters specifically ABCA1, ABCB1 and ABCC1 to inhibit increased drug efflux and chemoresistance in breast cancer.
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
自引率
0.00%
发文量
13
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