Abstract
Introduction
Non-small cell lung cancer was one of the most common and deadly cancers worldwide. Long non-coding RNAs had been implicated in multiple human cancers, including non-small cell lung cancer. In this study, we focused on a novel long non-coding RNA, HAGLROS, in non-small cell lung cancer.
Material and methods
In this study, we used GEPIA dataset to analyse the expression levels of HAGLROS in non-small cell lung cancer samples and normal tissues. Then, we analysed Kaplan–Meier Plotter database to reveal the association between HAGLROS expression and overall survival time in patients with non-small cell lung cancer. Moreover, we used small interfering RNA-mediated knockdown to reduce HAGLROS expression in A549 and H1299 cells. Cell Counting Kit-8 assay was used to detect the effect of HAGLROS on cell proliferation. Transwell assays were used to determine the effect of HAGLROS on cell migration and invasion. Co-expression analysis and bioinformatics analysis were conducted to predict the potential functions of HAGLROS in non-small cell lung cancer.
Results
We identified HAGLROS was significantly overexpressed in non-small cell lung cancer samples compared to normal tissues. Higher expression of HAGLROS was significantly associated with shorter overall survival time in patients with non-small cell lung cancer. Moreover, we found knockdown of HAGLROS in non-small cell lung cancer cells remarkably suppressed tumour proliferation, migration and invasion. By conducting bioinformatics analysis, we found HAGLROS was involved in regulating multiple cancer-related pathways, including Spliceosome, DNA replication, cell cycle, chromosome segregation and sister chromatid segregation.
Conclusions
Our results for the first time demonstrated HAGLROS may serve as a target for new therapies in non-small cell lung cancer.
Survival-based bioinformatics analysis to identify hub genes and key pathways in non-small cell lung cancer
