Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma
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 me...
Main Authors: | , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Biomolecules |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-273X/11/2/203 |
_version_ | 1797416768426213376 |
---|---|
author | Wen Li Yu Liu Zi Jin Li Yi Shi Jing Deng Jie Bai Liang Ma Xiao Xi Zeng Shan Shan Feng Jia Li Ren Fei Jun Luo Duo Yan Rong Xiao Qi Chen Hua Qun Yin Zhu Chen Fu Da |
author_facet | Wen Li Yu Liu Zi Jin Li Yi Shi Jing Deng Jie Bai Liang Ma Xiao Xi Zeng Shan Shan Feng Jia Li Ren Fei Jun Luo Duo Yan Rong Xiao Qi Chen Hua Qun Yin Zhu Chen Fu Da |
author_sort | Wen Li |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-09T06:07:50Z |
format | Article |
id | doaj.art-f9e4286a85c84803854a3237385a6b86 |
institution | Directory Open Access Journal |
issn | 2218-273X |
language | English |
last_indexed | 2024-03-09T06:07:50Z |
publishDate | 2021-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Biomolecules |
spelling | doaj.art-f9e4286a85c84803854a3237385a6b862023-12-03T12:01:47ZengMDPI AGBiomolecules2218-273X2021-02-0111220310.3390/biom11020203Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung AdenocarcinomaWen Li0Yu Liu1Zi Jin Li2Yi Shi3Jing Deng4Jie Bai5Liang Ma6Xiao Xi Zeng7Shan Shan Feng8Jia Li Ren9Fei Jun Luo10Duo Yan Rong11Xiao Qi Chen12Hua Qun Yin13Zhu Chen14Fu Da15College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, ChinaSchool of Resource Processing and Bioengineering, Central South University, Changsha 410083, ChinaCollege of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, ChinaLung 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.https://www.mdpi.com/2218-273X/11/2/203LUADceRNA networkWT1-AS/miR-206/NAMPT axisprognosis |
spellingShingle | Wen Li Yu Liu Zi Jin Li Yi Shi Jing Deng Jie Bai Liang Ma Xiao Xi Zeng Shan Shan Feng Jia Li Ren Fei Jun Luo Duo Yan Rong Xiao Qi Chen Hua Qun Yin Zhu Chen Fu Da Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma Biomolecules LUAD ceRNA network WT1-AS/miR-206/NAMPT axis prognosis |
title | Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma |
title_full | Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma |
title_fullStr | Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma |
title_full_unstemmed | Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma |
title_short | Unravelling the Role of LncRNA WT1-AS/miR-206/NAMPT Axis as Prognostic Biomarkers in Lung Adenocarcinoma |
title_sort | unravelling the role of lncrna wt1 as mir 206 nampt axis as prognostic biomarkers in lung adenocarcinoma |
topic | LUAD ceRNA network WT1-AS/miR-206/NAMPT axis prognosis |
url | https://www.mdpi.com/2218-273X/11/2/203 |
work_keys_str_mv | AT wenli unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT yuliu unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT zijinli unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT yishi unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT jingdeng unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT jiebai unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT liangma unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT xiaoxizeng unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT shanshanfeng unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT jialiren unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT feijunluo unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT duoyanrong unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT xiaoqichen unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT huaqunyin unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT zhuchen unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma AT fuda unravellingtheroleoflncrnawt1asmir206namptaxisasprognosticbiomarkersinlungadenocarcinoma |