Unravelling colorectal cancer mechanisms: Insights from a regulatory network of ncRNAs, TFs, and mutated genes

IF 0.5 Q4 GENETICS & HEREDITY
Pankaj Kumar Tripathi, Chakresh Kumar Jain
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引用次数: 0

Abstract

Colorectal cancer (CRC) presents a significant challenge due to its complexity and high mortality rates, yet the precise molecular drivers remain elusive. Non-coding RNAs (ncRNAs), known for their roles in various cancers including CRC, are implicated in these intricate mechanisms. This study aimed to elucidate key regulators by constructing a regulatory network integrating CRC patient-mutated genes with transcription factors (TFs) and ncRNAs. Utilizing Onco-DB and COSMIC, we detected overexpressed genes and analyzed their mutational profiles, constructing a curated interactome network. Topological analysis identified the top ten hub genes, with five (CDK1, MYC, TOP2A, CCNA2, BRCA1) implicated in the gene regulatory network (GRN). These genes, characterized by high mutation rates, play pivotal roles in CRC tumour formation via mechanisms like gene amplification, cancer progression, proliferation, and migration. Additionally, potential TFs (SP1, E2F1, ESR1, MYC, E2F3) and miRNAs (hsa-miR-16-5p, hsa-miR-186-5p, hsa-miR-29b-3p) were identified, as a regulatory element. Additionally, the construction of the ceRNA network revealed that the 7 circRNA and 3 lncRNA collectively sponged the same miRNA “hsa-miR-16-5p”, ultimately affecting the expression of targeted mRNA BRCA1 and CDK1. This comprehensive approach sheds light on the molecular mechanisms of regulatory elements underlying CRC development, offering insights for clinical diagnosis and innovative treatment strategies.
解开结直肠癌的机制:从ncrna, tf和突变基因的调控网络的见解
结直肠癌(CRC)由于其复杂性和高死亡率而面临重大挑战,但精确的分子驱动因素仍然难以捉摸。非编码rna (ncRNAs)因其在包括CRC在内的各种癌症中的作用而闻名,与这些复杂的机制有关。本研究旨在通过构建整合CRC患者突变基因与转录因子(tf)和ncRNAs的调控网络来阐明关键调控因子。利用Onco-DB和COSMIC,我们检测了过表达基因并分析了它们的突变谱,构建了一个精心策划的相互作用组网络。拓扑分析确定了前10个枢纽基因,其中5个(CDK1、MYC、TOP2A、CCNA2、BRCA1)与基因调控网络(GRN)有关。这些基因以高突变率为特征,通过基因扩增、癌症进展、增殖和迁移等机制在结直肠癌肿瘤形成中发挥关键作用。此外,潜在的tf (SP1, E2F1, ESR1, MYC, E2F3)和mirna (hsa-miR-16-5p, hsa-miR-186-5p, hsa-miR-29b-3p)被鉴定为调控元件。此外,ceRNA网络的构建表明,7个circRNA和3个lncRNA共同海绵相同的miRNA“hsa-miR-16-5p”,最终影响靶向mRNA BRCA1和CDK1的表达。这种全面的方法揭示了CRC发展的分子调控机制,为临床诊断和创新治疗策略提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Gene
Human Gene Biochemistry, Genetics and Molecular Biology (General), Genetics
CiteScore
1.60
自引率
0.00%
发文量
0
审稿时长
54 days
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