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构建失调的miRNA-mRNA相互作用网络,以推测胃腺癌的可能病原体

Shuang Peng^1,1, Hao Zhang^1,1, Guoxin Song^2,1

¹Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Cancer biomarkers : section A of Disease markers

|December 18, 2023

概括

这项研究确定了胃腺癌 (STAD) 中关键的微RNA-信使RNA (miRNA-mRNA) 相互作用. 这些发现揭示了STAD潜在的诊断生物标志物和治疗点.

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:

传递 RNA (mRNA) 的微RNA (miRNA) 介导的转录后调节在癌症的发展,进展和转移中发挥着关键作用.
胃腺癌 (STAD) 是一个重要的全球健康问题,需要识别新的分子点进行诊断和治疗.

研究的目的:

在胃腺癌 (STAD) 中使用综合生物信息分析识别显著的miRNA-mRNA轴.
通过实验验证已识别的miRNA-mRNA相互作用,并评估其诊断潜力.
探索这些轴在瘤微环境中的作用.

主要方法:

来自TCGA和GEO数据库的RNA表达特征被分析,以确定差异表达的miRNAs (DE-miRNAs) 和mRNAs (DE-mRNAs).
进行了功能丰富分析,miRNA-mRNA轴预测 (TarBase,MiRTarBase) 和化合物预测 (Connectivity MAP).
通过实时逆转录聚合酶链反应 (RT-qPCR) 进行实验验证,并通过ROC和决策曲线分析评估诊断疗效.
使用CIBERSORT和ESTIMATE进行了免疫微环境分析.

主要成果:

在STAD中,共有228个DE-mRNA和38个DE-miRNA被确定为重要的.
预测了18个miRNA-mRNA对,12个经过实验验证,包括miR-301a-3p/ELL2和miR-1-3p/ANXA2轴.
一个包含四个签名的诊断模型显示了增强的诊断能力.
发现这些miRNA-mRNA轴与M0巨细胞和静止性巨细胞相互作用,可能影响瘤微环境.

结论:

通过综合生物信息学和实验验证,为STAD建立了一个强大的miRNA-mRNA网络.
已确定的miRNA-mRNA轴,特别是miR-301a-3p/ELL2和miR-1-3p/ANXA2,代表了STAD的有希望的诊断生物标志物和潜在的治疗点.
需要进一步研究这些轴在STAD瘤微环境中的作用.

关键词:

这是一个PCRPCR.在TCGA中,TCGA就是TCGA.这是一个小RNARNA.在miRNA-mRNA网络中.胃腺癌是胃腺癌.

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