基于 N7-甲基鸟苷修饰相关 lncRNAs 的甲状腺癌新型预后模型的构建与验证。

Construction and validation of a novel prognostic model for thyroid cancer based on N7-methylguanosine modification-related lncRNAs.

机构信息

Department of Otolaryngology Head and Neck Surgery, The Third People's Hospital of Yunnan Province, Kunming, Yunnan, China.

Department of Anesthesiology, The Third People's Hospital of Yunnan Province, Kunming, Yunnan, China.

出版信息

Medicine (Baltimore). 2022 Oct 21;101(42):e31075. doi: 10.1097/MD.0000000000031075.

DOI:10.1097/MD.0000000000031075

PMID:36281116

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9592387/

Abstract

BACKGROUND

To construct and verify a novel prognostic model for thyroid cancer (THCA) based on N7-methylguanosine modification-related lncRNAs (m7G-lncRNAs) and their association with immune cell infiltration.

METHODS

In this study, we identified m7G-lncRNAs using co-expression analysis and performed differential expression analysis of m7G-lncRNAs between groups. We then constructed a THCA prognostic model, performed survival analysis and risk assessment for the THCA prognostic model, and performed independent prognostic analysis and receiver operating characteristic curve analyses to evaluate and validate the prognostic value of the model. Furthermore, analysis of the regulatory relationship between prognostic differentially expressed m7G-related lncRNAs (PDEm7G-lncRNAs) and mRNAs and correlation analysis of immune cells and risk scores in THCA patients were carried out.

RESULTS

We identified 29 N7-methylguanosine modification-related mRNAs and 116 differentially expressed m7G-related lncRNAs, including 87 downregulated and 29 upregulated lncRNAs. Next, we obtained 8 PDEm7G-lncRNAs. A final optimized model was constructed consisting of 5 PDEm7G-lncRNAs (DOCK9-DT, DPP4-DT, TMEM105, SMG7-AS1 and HMGA2-AS1). Six PDEm7G-lncRNAs (DOCK9-DT, DPP4-DT, HMGA2-AS1, LINC01976, MID1IP1-AS1, and SMG7-AS1) had positive regulatory relationships with 10 PDEm7G-mRNAs, while 2 PDEm7G-lncRNAs (LINC02026 and TMEM105) had negative regulatory relationships with 2 PDEm7G-mRNAs. Survival curves and risk assessment predicted the prognostic risk in both groups of patients with THCA. Forest maps and receiver operating characteristic curves were used to evaluate and validate the prognostic value of the model. Finally, we demonstrated a correlation between different immune cells and risk scores.

CONCLUSION

Our results will help identify high-risk or low-risk patients with THCA and facilitate early prediction and clinical intervention in patients with high risk and poor prognosis.

摘要

背景

构建并验证一个基于 N7-甲基鸟苷修饰相关长链非编码 RNA（m7G-lncRNA）及其与免疫细胞浸润关联的甲状腺癌（THCA）新预后模型。

方法

本研究通过共表达分析鉴定 m7G-lncRNA，比较组间 m7G-lncRNA 的差异表达。然后构建 THCA 预后模型，进行 THCA 预后模型的生存分析和风险评估，进行独立预后分析和受试者工作特征曲线分析，评估和验证模型的预后价值。此外，还分析了预后差异表达 m7G 相关 lncRNA（PDEm7G-lncRNA）与 mRNAs 之间的调控关系，以及 THCA 患者中免疫细胞与风险评分的相关性分析。

结果

我们鉴定了 29 个 N7-甲基鸟苷修饰相关 mRNAs 和 116 个差异表达的 m7G 相关 lncRNA，包括 87 个下调和 29 个上调的 lncRNA。接着，我们获得了 8 个 PDEm7G-lncRNA。最终构建了一个由 5 个 PDEm7G-lncRNA（DOCK9-DT、DPP4-DT、TMEM105、SMG7-AS1 和 HMGA2-AS1）组成的优化模型。6 个 PDEm7G-lncRNA（DOCK9-DT、DPP4-DT、HMGA2-AS1、LINC01976、MID1IP1-AS1 和 SMG7-AS1）与 10 个 PDEm7G-mRNAs 呈正相关调控关系，而 2 个 PDEm7G-lncRNA（LINC02026 和 TMEM105）与 2 个 PDEm7G-mRNAs 呈负相关调控关系。生存曲线和风险评估预测了两组 THCA 患者的预后风险。森林图和受试者工作特征曲线用于评估和验证模型的预后价值。最后，我们证明了不同免疫细胞与风险评分之间的相关性。