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构建和验证基于与二硫化相关的 lncRNAs 的膀癌预后模型

Xiaoyu Yang¹, Yunzhi Zhang², Jun Liu¹

¹Department of Urology, Suining Central Hospital, Suining, Sichuan, China.

|July 5, 2024

概括

这项研究开发了一种与8-disulfidptosis相关的长非编码RNA (DRL) 预后模型,用于膀癌 (BLCA). 该模型预测了患者的生存率和免疫治疗的反应,提供了新的治疗点.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

膀癌 (BLCA) 是一种具有高死亡率的侵袭性恶性瘤.
对BLCA的预后预测和治疗目标仍然具有挑战性.
在BLCA中与二硫化相关的长非编码RNAs (DRLs) 的作用尚未得到充分研究.

研究的目的:

开发一种使用DRLs用于膀癌 (BLCA) 患者的预后模型.
为了确定BLCA的新型治疗点.
为了提高BLCA中生存预测的准确性.

主要方法:

利用了癌症基因组图谱 (TCGA) 转录和BLCA的临床数据.
使用考克斯回归和LASSO开发了一个8-DRL预后签名.
通过生存分析,ROC曲线和PCA评估模型性能.
进行功能丰富,免疫细胞透,TMB和药物敏感性分析.

主要成果:

一个8-DRL预后特征 (LINC00513,SMARCA5-AS1,MIR4435-2HG,MIR4713HG,AL122035.1,AL359762.3,AC006160.1,AL590428.1) 被确定为BLCA.的独立预后指标.
该模型有效地预测了整体存活率,并在风险组之间显示了瘤微环境,免疫透,TMB和药物易感性的显著差异.
DRL签名与免疫疗法响应指标相关,例如瘤免疫功能障碍和排除 (TIDE) 评分.

结论:

一个创新的8-DRL预后签名为BLCA预后提供了一个有价值的工具.
这些DRL代表了膀癌的潜在治疗点.
这些发现为BLCA的TMB,免疫格局以及患者对免疫疗法和向疗法的反应提供了洞察力.

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相关概念视频

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...