Liu Xinhong, Zuo Xin, Ma Lijun, Wang Qin, Zhu Lilan, Li Li, Zhao Xin
College of Biological and Chemical Engineering, Chongqing University of Education, Chongqing, People's Republic of China.
Chongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing, People's Republic of China.
Cancer Manag Res. 2021 Nov 23;13:8707-8722. doi: 10.2147/CMAR.S339032. eCollection 2021.
Lung cancer has the characteristics of early metastasis, high recurrence, and high mortality rate despite emerging advances in diagnostic. Early diagnosis can significantly improve the patient's chances of cure and survival.
This study aimed to identify and assess a prognostic lncRNA/miRNA/gene signature in patients with lung cancer.
Pearson correlation analysis, univariate Cox analysis and LASSO Cox analysis were used to construct a lung cancer prognostic risk model based on m6A-related lncRNA. The interaction between lncRNA-miRNA-gene was verified by luciferase reporter gene experiment.
The Pearson correlation analysis determined that 1655 lncRNAs significantly correlated with the expression of m6A genes. A lung cancer prognostic risk model, including 14 m6A-related lncRNAs, was constructed through univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) Cox analysis. ABALON was identified as the key lncRNA through cluster analysis and gene expression difference analysis.
It was experimentally verified that ABALON acted as a competing endogenous RNA by sponging miR-139-3p and indirectly regulated the expression of NOB1. This study provided a new biological target for the early diagnosis of lung cancer and a new direction for studying the mechanism of lung cancer.
尽管诊断技术不断进步,但肺癌仍具有早期转移、高复发率和高死亡率的特点。早期诊断可显著提高患者的治愈和生存几率。
本研究旨在识别和评估肺癌患者的一种预后lncRNA/miRNA/基因特征。
采用Pearson相关性分析、单因素Cox分析和LASSO Cox分析,基于m6A相关lncRNA构建肺癌预后风险模型。通过荧光素酶报告基因实验验证lncRNA-miRNA-基因之间的相互作用。
Pearson相关性分析确定1655个lncRNA与m6A基因的表达显著相关。通过单因素Cox分析和最小绝对收缩和选择算子(LASSO)Cox分析构建了一个包含14个m6A相关lncRNA的肺癌预后风险模型。通过聚类分析和基因表达差异分析确定ABALON为关键lncRNA。
实验证实ABALON作为竞争性内源RNA,通过吸附miR-139-3p间接调控NOB1的表达。本研究为肺癌的早期诊断提供了新的生物学靶点,为研究肺癌的发病机制提供了新的方向。