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基于随机森林和LASSO回归算法的结直肠癌相关的长非编码RNA的查和验证

Yujia Zhao¹, Qian Li^1,2, Xintong Cui¹

¹Department of Health Statistics, School of Public Health, Shenyang Medical College, 146 Huanghe North Street, Shenyang, 110034, China.

Discover oncology

|July 1, 2025

概括

这项研究确定了与结直肠癌 (CRC) 相关的五种长非编码RNA (lncRNA). 其中四种,NCAL1,HMGA1P4,EPIST和MT1JP,显示出作为CRC检测和诊断的新生物标志物的潜力.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
癌症研究癌症研究

背景情况:

结肠直肠癌 (CRC) 是一个主要的全球健康负担,死亡率高.
长非编码RNAs (lncRNAs) 越来越多地被认为是它们在癌症发展中的调节作用.
识别新的生物标志物对于早期检测和有效治疗CRC至关重要.

研究的目的:

使用生物信息学和机器学习识别和验证结直肠癌 (CRC) 的新型长非编码RNA (lncRNA) 生物标志物.
探索lncRNAs作为CRC的诊断和预后指标的潜力.

主要方法:

利用了来自GEO数据库的结直肠癌和正常组织的RNA-seq数据.
采用随机森林 (RF) 和 LASSO 回归算法来选差异表达的 lncRNA (DE lncRNA).
预测的lncRNA-miRNA-mRNA调节网络和通过qRT-PCR验证的lncRNA表达.

主要成果:

选了3028个与CRC相关的lncRNA,确定了55个DE lncRNA,随后确定了五个关键的lncRNA:NCAL1,CRNDE,HMGA1P4,EPIST和MT1JP.
NCAL1,CRNDE和HMGA1P4显示上调,而EPIST和MT1JP在CRC组织中显示下调.
实验验证证证实了CRC组织中四个关键lncRNAs (NCAL1,HMGA1P4,EPIST,MT1JP) 的显著差异表达 (p < 0.001).

结论:

确定了五种 lncRNAs (NCAL1,CRNDE,HMGA1P4,EPIST,MT1JP),可能与结直肠癌相关.
NCAL1,HMGA1P4,EPIST和MT1JP显示为结直肠癌的候选生物标志物具有前景.

关键词:

结肠直肠癌是一种癌症.最小绝对收缩和选择操作员 (LASSO)长的非编码RNA是什么?随机森林 (RF) 是一个随机的森林.

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