综合分析确定Hsa_circ_0058191为多发性骨髓瘤的潜在耐药靶点

IF 2.7 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
OncoTargets and therapy Pub Date : 2025-02-12 eCollection Date: 2025-01-01 DOI:10.2147/OTT.S505074
Huiye Yang, Jie Zhu, Xiaotao Wang
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引用次数: 0

摘要

背景:多发性骨髓瘤(MM)是第二常见的血液系统恶性肿瘤,对硼替佐米(硼替佐米是一线治疗药物)具有很强的耐药性。环状rna (circRNAs)越来越被认为是各种癌症耐药的重要驱动因素,但它们在多发性骨髓瘤中的作用尚不清楚。目的:研究和鉴定潜在的circRNA靶点及其在硼替佐米耐药机制中的作用。方法:使用Arraystar circRNA微阵列筛选耐硼替佐米MM患者特异性circRNA。使用GEO2R分析GEO数据库中的MM circRNA数据集,以确定与MM进展和耐药相关的候选circRNA。通过Sanger测序确定了环状rna形成位点和环形成位点及其结构。鉴定的circRNA在有和没有硼替佐米耐药的MM患者中进行了qRT-PCR验证。通过CircInteractome进行生物信息学分析,预测核心circrna的潜在miRNA和RBP结合。使用metscape进行RBP通路分析,以确定circRNAs中的特定生物过程。结果:hsa_circ_0058191在硼替佐米耐药MM患者样本中过表达,提示其在耐药机制中起关键作用。通过生物信息学预测,hsa_circ_0058191与miR-660和AGO2的相互作用表明,它调节RNA修饰和mRNA调控途径。这些分子相互作用扩大了我们对多发性骨髓瘤耐药机制的理解。结论:本研究明确了hsa_circ_0058191在MM耐药发展中的作用,为设计预防耐药的潜在治疗策略提供了理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Analysis Identifies Hsa_circ_0058191 as a Potential Drug Resistance Target in Multiple Myeloma.

Background: Multiple Myeloma (MM) is the second most common hematologic malignancy, which exhibits strong resistance to bortezomib, the first-line treatment. Circular RNAs (circRNAs) are increasingly considered as important drivers of drug resistance across various cancers, but their roles in multiple myeloma are not well understood.

Aim: To investigate and identify potential circRNA targets and their roles in the mechanisms of bortezomib resistance.

Methods: Bortezomib-resistant MM patient-specific circRNAs were screened using Arraystar circRNA microarrays. The MM circRNA dataset from the GEO database was analyzed with GEO2R to identify candidate circRNAs associated with MM progression and drug resistance. CircRNA-forming and loop-forming sites, along with their structures, were identified via Sanger sequencing. The identified circRNA was validated by qRT-PCR in MM patients with and without bortezomib resistance. Bioinformatic analysis through CircInteractome was conducted to predict potential miRNA and RBP binding for the core circRNAs. Metascape was employed to perform RBP pathway analysis to identify specific biological processes in circRNAs.

Results: The hsa_circ_0058191 was found to be overexpressed in bortezomib-resistant MM patient samples, suggesting its pivotal role in drug resistance mechanisms. The interaction of hsa_circ_0058191 with miR-660 and AGO2 as determined through bioinformatic predictions, indicated that it regulates RNA modification and mRNA regulation pathways. These molecular interactions expand our understanding of the mechanisms of drug resistance in multiple myeloma.

Conclusion: This study identified the role of hsa_circ_0058191 in the development of drug resistance in MM, which provides a theoretical foundation for designing potential therapeutic strategies to prevent drug resistance.

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来源期刊
OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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