Cargando…
Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis
BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of nonsmall-cell lung cancer (NSCLC) and has a high incidence rate and mortality. The survival of LUAD patients has increased with the development of targeted therapeutics, but the prognosis of these patients is still poor. Long nonco...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611860/ https://www.ncbi.nlm.nih.gov/pubmed/34819106 http://dx.doi.org/10.1186/s12938-021-00952-x |
_version_ | 1784603373418315776 |
---|---|
author | Li, Yumiao Yu, Xiaoxue Zhang, Yuhao Wang, Xiaofang Zhao, Linshan Liu, Dan Zhao, Guofa Gao, Xiangpeng Fu, Jiejun Zang, Aimin Jia, Youchao |
author_facet | Li, Yumiao Yu, Xiaoxue Zhang, Yuhao Wang, Xiaofang Zhao, Linshan Liu, Dan Zhao, Guofa Gao, Xiangpeng Fu, Jiejun Zang, Aimin Jia, Youchao |
author_sort | Li, Yumiao |
collection | PubMed |
description | BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of nonsmall-cell lung cancer (NSCLC) and has a high incidence rate and mortality. The survival of LUAD patients has increased with the development of targeted therapeutics, but the prognosis of these patients is still poor. Long noncoding RNAs (lncRNAs) play an important role in the occurrence and development of LUAD. The purpose of this study was to identify novel abnormally regulated lncRNA–microRNA (miRNA)–messenger RNA (mRNA) competing endogenous RNA (ceRNA) networks that may suggest new therapeutic targets for LUAD or relate to LUAD prognosis. METHODS: We used the SBC human ceRNA array V1.0 to screen for differentially expressed (DE) lncRNAs and mRNAs in four paired LUAD samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to annotate the DE lncRNAs and mRNAs. R bioinformatics packages, The Cancer Genome Atlas (TCGA) LUAD database, and Kaplan–Meier (KM) survival analysis tools were used to validate the microarray data and construct the lncRNA–miRNA–mRNA ceRNA regulatory network. Then, quantitative real-time PCR (qRT-PCR) was used to validate the DE lncRNAs in 7 LUAD cell lines. RESULTS: A total of 2819 DE lncRNAs and 2396 DE mRNAs (P < 0.05 and fold change ≥ 2 or ≤ 0.5) were identified in four paired LUAD tissue samples. In total, 255 of the DE lncRNAs were also identified in TCGA. The GO and KEGG analysis results suggested that the DE genes were most enriched in angiogenesis and cell proliferation, and were closely related to human cancers. Moreover, the differential expression of ENST00000609697, ENST00000602992, and NR_024321 was consistent with the microarray data, as determined by qRT-PCR validation in 7 LUAD cell lines; however, only ENST00000609697 was associated with the overall survival of LUAD patients (log-rank P = 0.029). Finally, through analysis of ENST00000609697 target genes, we identified the ENST00000609697–hsa-miR-6791-5p–RASL12 ceRNA network, which may play a tumor-suppressive role in LUAD. CONCLUSION: ENST00000609697 was abnormally expressed in LUAD. Furthermore, downregulation of ENST00000609697 and its target gene RASL12 was associated with poor prognosis in LUAD. The ENST00000609697–hsa-miR-6791-5p–RASL12 axis may play a tumor-suppressive role. These results suggest new potential prognostic and therapeutic biomarkers for LUAD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-021-00952-x. |
format | Online Article Text |
id | pubmed-8611860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86118602021-11-29 Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis Li, Yumiao Yu, Xiaoxue Zhang, Yuhao Wang, Xiaofang Zhao, Linshan Liu, Dan Zhao, Guofa Gao, Xiangpeng Fu, Jiejun Zang, Aimin Jia, Youchao Biomed Eng Online Research BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of nonsmall-cell lung cancer (NSCLC) and has a high incidence rate and mortality. The survival of LUAD patients has increased with the development of targeted therapeutics, but the prognosis of these patients is still poor. Long noncoding RNAs (lncRNAs) play an important role in the occurrence and development of LUAD. The purpose of this study was to identify novel abnormally regulated lncRNA–microRNA (miRNA)–messenger RNA (mRNA) competing endogenous RNA (ceRNA) networks that may suggest new therapeutic targets for LUAD or relate to LUAD prognosis. METHODS: We used the SBC human ceRNA array V1.0 to screen for differentially expressed (DE) lncRNAs and mRNAs in four paired LUAD samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to annotate the DE lncRNAs and mRNAs. R bioinformatics packages, The Cancer Genome Atlas (TCGA) LUAD database, and Kaplan–Meier (KM) survival analysis tools were used to validate the microarray data and construct the lncRNA–miRNA–mRNA ceRNA regulatory network. Then, quantitative real-time PCR (qRT-PCR) was used to validate the DE lncRNAs in 7 LUAD cell lines. RESULTS: A total of 2819 DE lncRNAs and 2396 DE mRNAs (P < 0.05 and fold change ≥ 2 or ≤ 0.5) were identified in four paired LUAD tissue samples. In total, 255 of the DE lncRNAs were also identified in TCGA. The GO and KEGG analysis results suggested that the DE genes were most enriched in angiogenesis and cell proliferation, and were closely related to human cancers. Moreover, the differential expression of ENST00000609697, ENST00000602992, and NR_024321 was consistent with the microarray data, as determined by qRT-PCR validation in 7 LUAD cell lines; however, only ENST00000609697 was associated with the overall survival of LUAD patients (log-rank P = 0.029). Finally, through analysis of ENST00000609697 target genes, we identified the ENST00000609697–hsa-miR-6791-5p–RASL12 ceRNA network, which may play a tumor-suppressive role in LUAD. CONCLUSION: ENST00000609697 was abnormally expressed in LUAD. Furthermore, downregulation of ENST00000609697 and its target gene RASL12 was associated with poor prognosis in LUAD. The ENST00000609697–hsa-miR-6791-5p–RASL12 axis may play a tumor-suppressive role. These results suggest new potential prognostic and therapeutic biomarkers for LUAD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-021-00952-x. BioMed Central 2021-11-24 /pmc/articles/PMC8611860/ /pubmed/34819106 http://dx.doi.org/10.1186/s12938-021-00952-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Yumiao Yu, Xiaoxue Zhang, Yuhao Wang, Xiaofang Zhao, Linshan Liu, Dan Zhao, Guofa Gao, Xiangpeng Fu, Jiejun Zang, Aimin Jia, Youchao Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis |
title | Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis |
title_full | Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis |
title_fullStr | Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis |
title_full_unstemmed | Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis |
title_short | Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis |
title_sort | identification of a novel prognosis-associated cerna network in lung adenocarcinoma via bioinformatics analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611860/ https://www.ncbi.nlm.nih.gov/pubmed/34819106 http://dx.doi.org/10.1186/s12938-021-00952-x |
work_keys_str_mv | AT liyumiao identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT yuxiaoxue identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT zhangyuhao identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT wangxiaofang identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT zhaolinshan identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT liudan identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT zhaoguofa identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT gaoxiangpeng identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT fujiejun identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT zangaimin identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis AT jiayouchao identificationofanovelprognosisassociatedcernanetworkinlungadenocarcinomaviabioinformaticsanalysis |