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一项两阶段全面 NSCLC 预后研究确定了具有显著主效应和相互作用的 lncRNAs。

A two-phase comprehensive NSCLC prognostic study identifies lncRNAs with significant main effect and interaction.

机构信息

Department of Oncology, The Affiliated Jiangning Hospital of Nanjing Medical University, 169 Hushan Road, No. 2 Building, 212 East Ward, Nanjing, 211100, Jiangsu, China.

Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, SPH Building, Room 406, Nanjing, 211166, Jiangsu, China.

出版信息

Mol Genet Genomics. 2022 Mar;297(2):591-600. doi: 10.1007/s00438-022-01869-3. Epub 2022 Feb 26.

DOI:10.1007/s00438-022-01869-3
PMID:35218396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8960609/
Abstract

Long noncoding RNA (lncRNA) are involved in regulating physiological behaviors for various malignant tumors, including non-small-cell lung cancer (NSCLC). However, few studies comprehensively evaluated both lncRNA-lncRNA interaction effects and main effects of lncRNA on overall survival of NSCLC. Hence, we performed a two-phase designed study of lncRNA expression in tumor tissues using 604 NSCLC patients from The Cancer Genome Atlas as the discovery phase and 839 patients from Gene Expression Omnibus as the validation phase. In the discovery phase, we adopted a two-step strategy, Screening before Testing, for dimension reduction and signal detection. These candidate lncRNAs first screened out by the weighted random forest (Ranger), were then tested through the Cox proportional hazards model adjusted for covariates. Significant lncRNAs with either type of effects aforementioned were carried forward into the validation phase to confirm their significances again. As a result, in the discovery phase, 19 lncRNAs were identified by Ranger, among which five lncRNAs and one pair of lncRNA-lncRNA interaction exhibited significant effects (FDR-q ≤ 0.05) main and interaction effects on NSCLC survival, respectively, through Cox model. After the independent validation, we finally observed that one lncRNA (ENSG00000227403.1) with main effect was robustly associated with NSCLC prognosis (HR = 0.90, P = 1.20 × 10; HR = 0.94, P = 4.11 × 10) and one pair of lncRNAs (ENSG00000267121.4 and ENSG00000272369.1) had significant interaction effect on NSCLC survival (HR = 1.12, P = 3.07 × 10; HR = 1.11, P = 0.0397). Our comprehensive NSCLC prognostic study of lncRNA provided population-level evidence for further functional study.

摘要

长链非编码 RNA(lncRNA)参与调节各种恶性肿瘤的生理行为,包括非小细胞肺癌(NSCLC)。然而,很少有研究全面评估 lncRNA-lncRNA 相互作用效应和 lncRNA 对 NSCLC 总生存率的主要影响。因此,我们使用来自癌症基因组图谱的 604 例 NSCLC 患者进行了肿瘤组织中 lncRNA 表达的两阶段设计研究,作为发现阶段,并使用来自基因表达综合数据库的 839 例患者作为验证阶段。在发现阶段,我们采用了一种两步策略,即筛选前测试,用于降维和信号检测。首先通过加权随机森林(Ranger)筛选候选 lncRNA,然后通过 Cox 比例风险模型调整协变量进行测试。具有上述任何一种类型效应的显著 lncRNA 被带入验证阶段,以再次确认其显著性。结果,在发现阶段,Ranger 鉴定出 19 个 lncRNA,其中 5 个 lncRNA 和一对 lncRNA-lncRNA 相互作用通过 Cox 模型分别显示出对 NSCLC 生存的显著主要和相互作用效应(FDR-q≤0.05)。经过独立验证,我们最终观察到一个具有主要效应的 lncRNA(ENSG00000227403.1)与 NSCLC 预后显著相关(HR=0.90,P=1.20×10;HR=0.94,P=4.11×10),一对 lncRNA(ENSG00000267121.4 和 ENSG00000272369.1)对 NSCLC 生存具有显著的相互作用效应(HR=1.12,P=3.07×10;HR=1.11,P=0.0397)。我们对 lncRNA 的全面 NSCLC 预后研究为进一步的功能研究提供了人群水平的证据。

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