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在基于多维数据的基础上,探索和验证结肠腺癌中的死细胞基因调节和相关的lncRNA机制

Weili Wang^1,2, Yi Liu², Ziqi Wang³

¹Department of Oncology, The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, Changsha, China.

Scientific reports

|September 27, 2024

概括

这项研究确定了八个长非编码RNA和九个与亡相关的基因,这些基因可以预测结肠腺癌 (COAD) 的结果. 这些基因影响免疫反应和瘤进展,为COAD患者提供潜在的治疗点.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
遗传学遗传学是一种遗传学.

背景情况:

亡在结肠腺癌 (COAD) 开始和进展中起着重要作用.
有限的研究存在于亡相关基因 (NRGs) 和它们在COAD中的调节长非编码RNA (NRGlncRNAs).
了解这些分子参与者对于开发新的COAD诊断和治疗方法至关重要.

研究的目的:

在结肠腺癌 (COAD) 中识别预后性亡相关基因 (NRGs) 和长非编码RNA (lncRNAs).
探索这些基因在COAD发育中的调节机制和潜在的因果关系.
建立基于已识别的NRG和NRGlncRNAs的COAD预后模型.

主要方法:

使用了癌症基因组图谱 (TCGA) 和基因表达总汇 (GEO) 数据集用于NRG和NRGlncRNA.
采用了Cox和最小绝对收缩和选择操作员 (LASSO) 回归来构建预测风险模型.
进行了门德尔的随机化 (MR) 分析,细胞实验,丰富分析和免疫相关分析.

主要成果:

确定了八种预后NRGlncRNA和九种预后NRG与COAD患者的结果有显著的关联.
使用独立的GEO和GWAS数据集验证了预后模型,显示一致的结果.
证明这些基因调节免疫反应,氧化应激和COAD中的免疫逃生.
高风险组表现出免疫细胞透和免疫检查点基因表达的增加.

结论:

已识别的NRGlncRNAs和NRGs作为COAD的有价值的预后指标.
这些分子为改善COAD的临床诊断和治疗提供了潜在的治疗点.
这项研究为进一步研究COAD中亡相关途径提供了基础.

关键词:

结肠腺癌结肠腺癌.门德尔的随机化尸体灭 (Necroptosis) 是一种死亡的过程.预测预后预测预测风险模型风险模型在ncRNA中,我们可以

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