Li Zhiying, Chen Yingli, Zhao Yuanyuan, Li Qianzhong
Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010021, China.
Int J Mol Sci. 2025 Feb 27;26(5):2132. doi: 10.3390/ijms26052132.
Stomach adenocarcinoma (STAD) has high incidence and mortality rates. Long non-coding RNAs (lncRNAs) and angiogenesis are closely related to the pathogenesis and metastasis of STAD. Recently, emerging evidence demonstrated that DNA methylation plays crucial roles in the development of STAD. This study explored the relationship between DNA methylation and the abnormal expression of angiogenesis-related lncRNAs (ARlncRNAs) in stomach adenocarcinoma, aiming to identify prognostic biomarkers. Moreover, a Cox analysis and Lasso regression were used to establish an ARlncRNA feature set related to angiogenesis. The prognostic model was evaluated by using a Kaplan-Meier (KM) analysis, ROC curves, and nomograms. Based on the identified 18 key ARlncRNAs, a prognostic predictive model was constructed. In addition, a specific ARlncRNA with abnormal methylation in the model, LINC00511, showed significant differences in expression and methylation across different subgroups. The methylation and expression of LINC00511 were analyzed by a correlation and co-expression analysis. The correlation analysis indicated that promoter methylation may improve LINC00511 expression. Further analysis found 355 mRNAs co-expressed with LINC00511 which may interact with 6 miRNAs to regulate target gene expression. The abnormal methylation of LINC00511 could significantly contribute to the progression of stomach adenocarcinoma.
胃腺癌（STAD）的发病率和死亡率都很高。长链非编码RNA（lncRNAs）与血管生成与STAD的发病机制和转移密切相关。最近，新出现的证据表明DNA甲基化在STAD的发展中起着关键作用。本研究探讨了胃腺癌中DNA甲基化与血管生成相关lncRNAs（ARlncRNAs）异常表达之间的关系，旨在识别预后生物标志物。此外，使用Cox分析和Lasso回归建立了与血管生成相关的ARlncRNA特征集。通过Kaplan-Meier（KM）分析、ROC曲线和列线图对预后模型进行评估。基于鉴定出的18个关键ARlncRNAs，构建了预后预测模型。此外，模型中一个甲基化异常的特定ARlncRNA，即LINC00511，在不同亚组中的表达和甲基化存在显著差异。通过相关性和共表达分析对LINC00511的甲基化和表达进行了分析。相关性分析表明启动子甲基化可能上调LINC00511的表达。进一步分析发现355个mRNA与LINC00511共表达，这些mRNA可能与6个miRNA相互作用以调节靶基因表达。LINC00511的异常甲基化可能显著促进胃腺癌的进展。
