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基于与二硫化相关的 lncRNAs 的预后模型,用于预测膀癌的生存率和治疗反应

Lirui Han¹, Hankai Yang¹, Xuan Jiang¹

¹Department of Life and Pharmaceutical Sciences, School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin, China.

Frontiers in immunology

|December 17, 2024

概括

研究人员确定了五种关键的长非编码RNA (lncRNAs),与膀癌中的二硫化有关. 这些lncRNAs形成了患者预后的预测模型,并建议潜在的向疗法.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
遗传学是一个遗传学.

背景情况:

膀癌带来了严重的挑战,治疗结果差.
溶硫脱,一种新的细胞死亡途径,及其相关的长非编码RNA (lncRNAs) 在膀癌治疗中没有明确的作用.
精确瘤学需要了解选择性癌细胞杀死的新机制.

研究的目的:

在膀癌中识别关键的与二硫化相关的 lncRNA.
开发基于这些 lncRNAs 的预后风险模型.
探索膀癌治疗的潜在治疗点.

主要方法:

识别关键的与二硫化相关的 lncRNAs.
使用已识别的 lncRNAs.构建一个预测风险模型.
验证模型的可靠性和有效性.
定量PCR分析以确认发现.

主要成果:

五个lncRNAs (AC005840.4,AC010331.1,AL021707.6,MIR4435-2HG,ARHGAP5-AS1) 被确定并集成到一个预测模型中.
与二硫化相关的lncRNA指数有效预测了患者的预后.
高风险患者显示PI3K-Akt通路,细胞外矩阵组织和免疫逃生基因的表达增加.
高风险患者对索拉费尼布,奥克萨利普拉丁和MK-2206.表现出更大的敏感性.

结论:

与二硫化相关的lncRNAs是膀癌预后的重要预测因子.
这些lncRNAs为膀癌的分子格局提供了新的见解.
鉴定到的lncRNAs代表了在膀癌中精准医学的有前途的治疗点.

关键词:

膀癌:膀癌是一种癌症.硫化物脱硫症 (disulfidptosis) 是一种脱硫症.长非编码RNA是什么意思机器学习是机器学习.预后预后预后

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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...