在甲状腺癌中发现了一种与cuproptosis相关的IncRNA预后特征
Lujia Liu1, Jie Xu2, Xifeng Sun3
1Department of Thyroid Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, China.
Biomarkers in medicine
|November 7, 2023
概括
这项研究确定了四种与cuproptosis相关的长非编码RNA (lncRNAs),以创建甲状腺癌的预后模型. 该模型有助于识别高风险患者,以定制治疗策略.
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:
- 甲状腺癌预后和风险分层仍然是关键的挑战.
- 细胞亡是一种新型的受调细胞死亡形式,越来越多地与癌症有关.
- 长非编码RNAs (lncRNAs) 在癌症的发展和进展中发挥着不同的作用.
研究的目的:
- 评估与cuproptosis相关的lncRNAs在识别高风险甲状腺癌患者中的潜力.
- 基于与cuproptosis相关的lncRNAs开发一种新的甲状腺癌预后特征.
主要方法:
- 利用甲状腺癌的癌症基因组图谱 (TCGA) 的RNA测序数据.
- 使用考克斯回归分析构建了与cuproptosis相关的lncRNA签名.
- 使用接收器操作特征 (ROC) 曲线验证了模型的预测准确性.
主要成果:
- 一个包括四个与cuproptosis相关的lncRNAs的预后模型已成功开发.
- 该模型表现出显著的预测性能,曲线下的面积 (AUC) 为0.830 (1年),0.790 (3年) 和0.824 (5年).
结论:
- 与cuproptosis相关的IncRNA签名显示了查高风险甲状腺癌患者的前景.
- 这种模式可能有助于开发针对甲状腺癌的个性化和更有效的治疗策略.
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