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生物信息学分析和鉴定结直肠癌中与cuproptosis相关的长非编码RNA

Weihong Chen¹, Dongqin Huang¹, Xiaoping Su¹

¹Department of Anxi County Hospital, Quanzhou, PR China.

The Journal of international medical research

|August 27, 2024

概括

这项研究开发了一种结直肠癌 (CRC) 的预后模型,使用与cuproptosis相关的长非编码RNA (lncRNAs). 这些lncRNA显示出作为CRC检测和管理的可靠生物标志物的潜力.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

准确的生物标志物对于结直肠癌 (CRC) 检测和管理至关重要.
细胞死亡的调节形式质亡及其相关的长非编码RNAs (lncRNAs) 代表了癌症研究的新领域.

研究的目的:

开发一种创新的CRC预后模型,利用与cuproptosis相关的lncRNAs.
评估这些lncRNAs作为CRC的诊断和预后生物标志物的潜力.

主要方法:

从癌症基因组图谱 (The Cancer Genome Atlas) 中对CRC患者的转录和临床数据进行了回顾性分析.
基于6个已识别的与cuproptosis相关的lncRNAs的预后模型的开发和验证.
定量聚合酶连锁反应 (qPCR) 用于检查CRC细胞中的lncRNA表达.

主要成果:

使用六个与cuproptosis相关的lncRNAs (ZKSCAN2-DT,AL161729.4,AC016394.1,AC007128.2,AL137782.1,AC099850.3) 构建了一个预后模型.
该模型有效地区分高风险和低风险患者群体,显示出对生存结果的强大预测能力.
在风险组之间观察到免疫细胞透,免疫检查点和m6A甲基化中的显著差异.

结论:

与cuproptosis相关的lncRNAs显示出作为结直肠癌可靠生物标志物的潜力.
开发的预后模型为CRC患者的管理和预测结果提供了一个有前途的工具.

关键词:

结肠直肠癌是一种癌症.这就是cuproptosis.免疫疗法免疫疗法在体外实验实验实验.长非编码RNA是什么意思预测模型的预测模型.

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