一个基于EcDNA基因的风险模型和对前列腺癌的关键ec-lncRNA AC016394.2的功能验证
JiangPing Qiu1, Jiang Wu1, Nan Zhou2
1Guangdong Provincial Key Laboratory of Cancer Pathogenesis and Precision Diagnosis and Treatment, Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516621, China.
Cancer cell international
|July 2, 2025
概括
这项研究开发了一种使用异染色体DNA (ecDNA) 基因的前列腺癌 (PCa) 新预后风险模型,识别了预测患者结果和治疗反应的关键长非编码RNA (lncRNAs).
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 分子生物学分子生物学
背景情况:
- 前列腺癌 (PCa) 是一种常见的恶性瘤,具有复杂的进展和异质性.
- 外染色体DNA (ecDNA) 在瘤进展,转移和治疗耐药性方面发挥着作用.
- 以ecDNA编码的基因显著影响瘤特征和临床结果.
研究的目的:
- 在PCa中使用ecDNA基因开发生化无复发生存 (BRFS) 的预后风险模型.
- 识别具有预后价值的关键ecDNA编码的长非编码RNA (ec-lncRNAs).
- 研究ec-lncRNA AC016394.2在PCa中的功能作用.
主要方法:
- 使用ECGA数据库中的ecDNA基因进行PCa分析.
- 采用考克斯和拉索回归来构建BRFS的预后风险模型.
- 进行KEGG/GO通路丰富和免疫细胞透分析.
- 进行了功能测试 (殖民地形成,CCK-8,迁移,入侵) 以评估AC016394.2功能.
主要成果:
- 确定了六个关键的ec-lncRNA,包括AC016394.2,在PCa.中具有显著的预后价值.
- 开发的风险模型准确地预测了PCa患者的BRFS,优于格里森得分和TM分期 (1/3/5年AUC~0.8).
- 高风险患者表现出免疫相关途径的丰富和独特的免疫细胞透模式.
- 抑制AC016394.2抑制了PCa细胞的增殖,迁移和入侵.
结论:
- 建立了一个新的基于ecDNA基因的PCa预后风险模型.
- 这项研究强调了ec-lncRNA AC016394.2在PCa进展中的功能意义.
- 研究结果表明,ec-lncRNAs是PCa精密瘤学和治疗干预的潜在目标.
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