Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma.

Wen Li,Fu Da,Jie Bai,Fei Jun Luo,Jing Deng,Zhu Chen,Yi Shi,Yu Liu,Liang Ma,Shan Shan Feng,Jia Li Ren,Xiao Qi Chen,Zi Jin Li,Hua Qun Yin,Xiao Xi Zeng,Duo Yan Rong

doi:10.3390/biom11020203

Abstract

Lung cancer is the world’s highest morbidity and mortality of malignant tumors, with lung adenocarcinoma (LUAD) as a major subtype. The competitive endogenous RNA (ceRNA) regulative network provides opportunities to understand the relationships among different molecules, as well as the regulative mechanisms among them in order to investigate the whole transcriptome landscape in cancer pathology. We designed this work to explore the role of a key oncogene, MYC, in the pathogenesis of LUAD, and this study aims to identify important long noncoding RNA (lncRNA)-microRNA (miRNA)- transcription factor (TF) interactions in non-small cell lung cancer (NSCLC) using a bioinformatics analysis. The Cancer Genome Atlas (TCGA) database, containing mRNA expression data of NSCLC, was used to determine the deferentially expressed genes (DEGs), and the ceRNA network was composed of WT1-AS, miR-206, and nicotinamide phosphoribosyltransferase (NAMPT) bashing on the MYC expression level. The Kaplan–Meier univariate survival analysis showed that these components may be closely related prognostic biomarkers and will become new ideas for NSCLC treatment. Moreover, the high expression of WT1-AS and NAMPT and low expression of miR-206 were associated with a shortened survival in NSCLC patients, which provided a survival advantage. In summary, the current study constructing a ceRNA-based WT1-AS/miR-206/NAMPT axis might be a novel important prognostic factor associated with the diagnosis and prognosis of LUAD.

Highlights

IntroductionLung cancer is the world’s highest morbidity and mortality of malignant tumors, a grievous menace to human health, and more than 1.8 million people died of lung cancer in 2018, according to the World Health Organization
The MYC gene expression dataset and clinical information of 515 lung adenocarcinoma (LUAD) patients were downloaded from The Cancer Genome Atlas (TCGA) database, 59 of whom had paracancer tissues corresponding to their tumor sites
According to the MYC expression level, patients with LUAD were divided into high expression levels and low expression levels (B)

Summary

Introduction

Lung cancer is the world’s highest morbidity and mortality of malignant tumors, a grievous menace to human health, and more than 1.8 million people died of lung cancer in 2018, according to the World Health Organization. With advances in technology and medical treatment, many diseases such as cardiovascular disease and infectious diseases have been effectively controlled or treated. The morbidity and mortality of lung cancer are rising year by year, which is attributed to the aggravation of environmental pollution and the lack of effective early diagnosis and treatment of lung cancer. It is necessary to explore the pathogenesis of lung cancer and find biomarkers for the early diagnosis of lung cancer [1–3]

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