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在卵巢癌中识别与端粒相关的lncRNA和免疫学分析

Weina Xu¹, Shuliu Sang², Jun Wang¹

¹Department of TCM, Zhoujiadu Community Health Service of Shanghai Pudong New Area, Shanghai, China.

Frontiers in immunology

|October 2, 2024

概括

这项研究开发了一种使用六个端粒相关的长非编码RNA (TRL) 来预测卵巢癌 (OC) 存活率的预后模型. 该TRL模型有助于理解OCOC.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
基因组学就是基因组学.

背景情况:

卵巢癌 (OC) 是一种普遍存在的恶性瘤,以其转移潜力和复发性而闻名.
长非编码RNAs (lncRNAs) 和端粒与各种癌症有关,但它们在OC中的预后价值需要进一步定义.

研究的目的:

建立和验证基于与端粒相关的长非编码RNA (TRLs) 的卵巢癌预后模型.
调查TRL预后模型与免疫透,瘤突变负荷和OC中的药物敏感性之间的相关性.
实验验证关键预后基因在OC细胞行为中的作用.

主要方法:

利用癌症基因组图谱 (TCGA) 数据库用于卵巢癌mRNA和临床数据.
开发了一种使用单变量,LASSO和TRL多变量回归分析的预后模型.
使用外部数据集和名组图验证模型;评估免疫透,TMB和药物敏感性;进行PTPRD-AS1敲击的体外测定.

主要成果:

建立并验证了一个六个TRL预后模型 (PTPRD-AS1,SPAG5-AS1,CHRM3-AS2,AC074286.1,FAM27E3,AC018647.3),有效预测患者的存活率.
高风险的TRL组显示出更高的调节性T细胞和M2巨细胞,而低风险组显示出对抗癌药物的敏感性增加.
预后TRL基因在OC细胞系中显著过度表达,而PTPRD-AS1倒置抑制了增殖,克隆和迁移.

结论:

确定了一种新的六TRL预后模型,具有预测卵巢癌结果的重大潜力.
TRL模型提供了对瘤免疫微环境和卵巢癌中化学敏感性的洞察.
这些发现强调了TRL作为卵巢癌预后和潜在治疗点的有希望的生物标志物.

关键词:

免疫系统是免疫系统的.在 lncRNA 中,卵巢癌是发生在卵巢的癌症.预后预后预后端粒是什么意思端粒是什么意思

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