Gu Yuxi, Song Yidan, Liu Jun
State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
PLoS One. 2025 Jun 6;20(6):e0324438. doi: 10.1371/journal.pone.0324438. eCollection 2025.
Extrachromosomal circular DNA (eccDNA) amplification promotes oncogene expression and cancer development. However, the global transcriptional landscape mediated by eccDNA has not yet been extensively profiled. Here we report a comprehensive analysis spanning cancer, non-cancerous disease and health by developing a new approach to catalog eccDNA-driven genes (EDGs). EDG expression is significantly higher than the average level. Our study identifies 27 common EDGs (CEDGs) existing in most cancer types. Integrated analysis of the CEDGs on gene expression, pathway and network, genetic alteration, epigenetic state, single-cell state, immune infiltration, microbiome and clinically-related features reveals their crucial roles in tumorigenesis and clinical significance. A 17-gene CEDG signature and nomogram was constructed to predict pan-cancer patients' outcomes. By a novel eccDriver algorithm, 432 candidate eccDNA-driven drivers were identified. We show the candidate drivers regulate five major biological processes including immune system process, developmental process, metabolic process, cell cycle and division, and regulation of transport. 275 of the 432 candidate drivers are clinically actionable with approved drugs. We also demonstrate that eccDNA generation is associated with DNA methylation. Our study reveals general EDG function in humans and provides the most comprehensive discovery of eccDNA-driven driver genes in cancer and non-cancerous diseases to date for future research and application.
染色体外环状DNA(eccDNA)扩增促进癌基因表达和癌症发展。然而,由eccDNA介导的整体转录图谱尚未得到广泛分析。在此,我们通过开发一种新方法来编目eccDNA驱动基因(EDG),报告了一项涵盖癌症、非癌性疾病和健康状况的综合分析。EDG的表达显著高于平均水平。我们的研究确定了大多数癌症类型中存在的27个常见EDG(CEDG)。对CEDG在基因表达、通路和网络、基因改变、表观遗传状态、单细胞状态、免疫浸润、微生物组和临床相关特征方面的综合分析揭示了它们在肿瘤发生中的关键作用和临床意义。构建了一个包含17个基因的CEDG特征和列线图来预测泛癌患者的预后。通过一种新的eccDriver算法,鉴定出432个候选eccDNA驱动因子。我们发现这些候选驱动因子调控五个主要生物学过程,包括免疫系统过程、发育过程、代谢过程、细胞周期和分裂以及转运调控。432个候选驱动因子中有275个在临床上可通过获批药物进行干预。我们还证明eccDNA的产生与DNA甲基化有关。我们的研究揭示了人类中EDG的一般功能,并为未来的研究和应用提供了迄今为止在癌症和非癌性疾病中对eccDNA驱动的驱动基因最全面的发现。