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一个基于circRNA的ceRNA网络在非小细胞肺癌中显示了其诊断价值

Jianuo Yang¹, Zhenhua Chen¹, Jinxian He²

¹Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, Zhejiang 315211, China; Zhejiang Provincial Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, Zhejiang 315211, China.

Clinical biochemistry

|October 4, 2023

概括

一个基于循环RNA (circRNA) 的新型调节网络,circ_0061235-miR-3180-5p-PPM1L,显示出对诊断非小细胞肺癌 (NSCLC) 的前景. 这个轴精确地区分NSCLC与健康个体和良性瘤,有助于早期检测和个性化治疗策略.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
生物化学生物化学

背景情况:

循环RNAs (circRNAs) 通过竞争性内源RNA (ceRNA) 网络在癌症发展中发挥关键作用.
非小细胞肺癌 (NSCLC) 的诊断和分期需要改进的生物标志物.

研究的目的:

建立和评估用于NSCLC诊断的circRNA-miRNA-mRNA轴.
在NSCLC中评估circ_0061235-miR-3180-5p-PPM1L轴的诊断值.

主要方法:

使用测序,生物信息学和初步测试构建circRNA-miRNA-mRNA轴.
通过定量聚合酶链反应 (qPCR) 来量化血清circ_0061235,miR-3180-5p和PPM1L水平.
接收器操作特征 (ROC) 分析以确定诊断功率.

主要成果:

在NSCLC患者中,circ_0061235-miR-3180-5p-PPM1L轴显著失调.
该轴证明了诊断能力,可以将NSCLC与健康对照和良性肺瘤区分开来.
组合标记物显示出比单个成分和传统瘤标记物更高的灵敏度和特异性,用于NSCLC严重程度.

结论:

为NSCLC诊断建立了一个特定的circRNA-miRNA-mRNA网络.
这种网络具有很高的灵敏度和特异性,特别是对于侵略性的NSCLC.
这些发现为开发NSCLC的先进瘤生物标志物提供了新的策略.

关键词:

这是循环RNARNA.有竞争力的内源性RNA.诊断诊断诊断诊断诊断非小细胞肺癌是非小细胞肺癌.这是一个微型RNA.

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lncRNA - Long Non-coding RNAs

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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...