Chhichholiya Yogita, Kumar Vicky, Hlawndo Lalnunmawia, Sangave Kshitij, Singh Sandeep, Munshi Anjana
Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, Punjab, India.
Department of Computer Science Engineering, Guru Nanak Dev DSEU Rohini Campus, Delhi Skill and Entrepreneurship University, Dwarka, Delhi, India.
Comput Biol Med. 2025 Mar;186:109639. doi: 10.1016/j.compbiomed.2024.109639. Epub 2024 Dec 30.
Breast cancer (BC) is a multifactorial disease where microRNA (miRNA)-mediated dysregulated gene expression plays a pivotal role in tumorigenesis, progression, and clinical outcomes. Genetic variation, particularly SNPs in miRNA sequences and the 3' untranslated regions (3'UTRs) of their target genes, can disrupt miRNA-mRNA interactions, leading to altered gene expression. Despite several existing databases providing insights into various aspects of miRNAs and their target genes in association with the development of the disease. Still, there remains a critical gap in a unified, BC-specific repository that integrates SNPs in miRNAs, their target genes, and associated molecular mechanisms. To address this, we developed BreVamiR3' (Breast cancer-associated genetic Variations in miRNA and 3'UTR of their target genes), a novel, freely accessible database (https://brevamir3.web.app/index.html). BreVamiR3' features comprehensive and curated data on 500 miRNAs and 828 target genes associated with BC, including experimentally validated SNPs, chromosomal loci, expression profiles, BC subtypes, signaling pathways, and classifications of genes i.e. oncogene, tumor suppressor, or both. Unique features of BreVamiR3' include detailed annotations of SNPs disrupting miRNA-target interactions, subtype-specific miRNA expression, visualization of miRNA-chromosomal distributions and their experimental validation. Chromosome 19 harbours the highest number of BC-associated miRNAs, while target genes such as CCND1, KRAS, and ERBB2 demonstrate extensive miRNA regulation. By integrating genetic variations with functional and clinical relevance, BreVamiR3' provides a single platform to explore miRNA-mediated regulatory networks, their genetic variation, and downstream signaling pathways in BC. This database serves as a powerful resource for researchers, enabling exploration of miRNA-gene interactions, genetic variation, and their role in pathogenesis of BC and diverse clinical outcomes.
乳腺癌（BC）是一种多因素疾病，其中微小RNA（miRNA）介导的基因表达失调在肿瘤发生、发展和临床结局中起关键作用。遗传变异，特别是miRNA序列及其靶基因的3'非翻译区（3'UTR）中的单核苷酸多态性（SNP），可破坏miRNA与mRNA的相互作用，导致基因表达改变。尽管现有的几个数据库提供了有关miRNA及其靶基因与疾病发展相关的各个方面的见解。但是，在整合miRNA中的SNP、其靶基因和相关分子机制的统一的、特定于BC的储存库方面仍存在关键差距。为了解决这个问题，我们开发了BreVamiR3'（乳腺癌相关的miRNA及其靶基因3'UTR中的遗传变异），这是一个新颖的、可免费访问的数据库（https://brevamir3.web.app/index.html）。BreVamiR3'具有关于与BC相关的500个miRNA和828个靶基因的全面且经过整理的数据，包括经过实验验证的SNP、染色体位点、表达谱、BC亚型、信号通路以及基因分类，即癌基因、抑癌基因或两者兼有。BreVamiR3'的独特功能包括破坏miRNA-靶标相互作用的SNP的详细注释、亚型特异性miRNA表达、miRNA-染色体分布的可视化及其实验验证。19号染色体含有与BC相关的miRNA数量最多，而诸如CCND1、KRAS和ERBB2等靶基因表现出广泛的miRNA调控。通过将遗传变异与功能和临床相关性整合，BreVamiR3'提供了一个单一平台，用于探索BC中miRNA介导的调控网络、其遗传变异和下游信号通路。该数据库为研究人员提供了强大的资源，能够探索miRNA-基因相互作用、遗传变异及其在BC发病机制和不同临床结局中的作用。
