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基于阿诺基斯相关 lncRNAs 的分子亚型识别的临床价值,用于割抗性前列腺癌

Kailei Chen¹, Yunxuan Zhang¹, Chengyong Li²

¹Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.

Cellular signalling

|February 19, 2024

概括

研究人员开发了一种使用阿诺基斯相关的长非编码RNA (arlncRNAs) 的预后指标,以预测割抵抗性前列腺癌 (CRPC) 的结果. 该模型有助于理解CRPC的进展,并确定潜在的治疗策略.

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:

阿诺基斯是一种编程细胞死亡形式,在瘤进展和转移中发挥作用.
割抵抗性前列腺癌 (CRPC) 中阿诺基斯的特定功能尚不清楚.
这项研究研究了与阿诺基斯相关的长非编码RNAs (arlncRNAs) 在CRPC中的作用.

研究的目的:

开发基于arlncRNAs的CRPC预后指标.
探索CRPC中arlncRNAs的生物功能.
在CRPC中识别潜在的治疗点和药物敏感性.

主要方法:

在CRPC数据集中对阿诺基斯相关基因的差异基因表达分析 (GSE51873,GSE78201).
在TCGA和MSKCC队列中验证的四种预后性arlncRNA的选择和风险模型开发.
功能性分析包括KEGG丰富,免疫透,免疫检查点表达,药物敏感性,CCK-8试验,殖民地形成试验和流细胞计.

主要成果:

一个基于四个arlncRNA的预后指数 (ARPI) 被开发和验证,将CRPC患者分为两种亚型.
高ARPI组与丰富的癌症和免疫相关途径以及增加的免疫透有关.
特定的药物 (Fulvestrant,OSI-027,拉巴提尼布,达布拉费尼布,Palbociclib) 在高ARPI患者中显示出潜在的敏感性.
沉默LINC01138抑制了增殖,迁移和酶胺耐药性,同时促进了细胞亡,并抑制了CRPC中的上皮-介质细胞过渡.

结论:

确定了四种arlncRNA,形成了一个风险模型来预测前列腺癌的预后.
免疫透和药物敏感性分析表明CRPC患者的潜在治疗策略.

关键词:

在 Anoikisikis 中.对割的抗性有所抵抗.这是一个LncRNARNA.预测模型是一个预测模型.前列腺癌是前列腺癌.

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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...