Cargando…

Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma

The aim of this study was to identify miRNAs in plasma exosomes as noninvasive biomarkers for the early diagnosis of lung adenocarcinoma (LUAD). First, exosomal miRNA profiling of three patients with early LUAD and three patients with benign lung disease were screened by next‐generation sequencing (...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Jing, Feng, Zian, Wang, Rui, Li, Ang, Wang, Hong, He, Xiaodong, Shen, Zuojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741994/
https://www.ncbi.nlm.nih.gov/pubmed/35585716
http://dx.doi.org/10.1002/cam4.4788
_version_ 1784848435847888896
author Wu, Jing
Feng, Zian
Wang, Rui
Li, Ang
Wang, Hong
He, Xiaodong
Shen, Zuojun
author_facet Wu, Jing
Feng, Zian
Wang, Rui
Li, Ang
Wang, Hong
He, Xiaodong
Shen, Zuojun
author_sort Wu, Jing
collection PubMed
description The aim of this study was to identify miRNAs in plasma exosomes as noninvasive biomarkers for the early diagnosis of lung adenocarcinoma (LUAD). First, exosomal miRNA profiling of three patients with early LUAD and three patients with benign lung disease were screened by next‐generation sequencing (NGS) method. Sequencing results showed that 154 exosomal miRNAs were differentially expressed in the plasma of LUAD patients, among which 68 miRNAs were up‐regulated and 86 miRNAs were down‐regulated. GSE137140 is a GEO database containing serum miRNAs sequencing data from 1566 lung cancer patients and 1774 non‐cancer patients controls. When comparing the sequencing data, it was found that most miRNAs (37/68) up‐regulated in our LUAD group were also significantly up‐regulated in GSE137140, suggesting that circulating miRNAs in lung cancer patients may be enriched in plasma exosomes. In GSE137140, the AUC of the combination of hsa‐miR‐103b, hsa‐miR‐29c‐5p and hsa‐miR‐877‐5p was 0.873, showing great potential as new tumor markers. To our knowledge, these three exosomal miRNAs have not been reported in lung cancer research. Furthermore, bioinformatics tools were used to analyze the target genes of three candidate miRNAs, which were indeed closely related to the occurrence and development of lung cancer. Bioinformatics algorithms deduced a highly conserved sequence in the 3’‐UTR of SFRP4, FOXM1 and TMEM98 that could be bound with miR‐103b/877‐5p/29c‐5p. A luciferase assay indicated that miR‐103b/877‐5p/29c‐5p directly targeted the 3’‐UTR of SFRP4, FOXM1 and TMEM98, respectively. Finally, three candidate miRNAs were validated by qRT‐PCR in 17 early LUAD samples and 17 control plasma samples. Integration of bioinformatics analysis and experimental validation identifies, this study provides novel insights into miRNA‐related networks in LUAD. Hsa‐miR‐103b, hsa‐miR‐29c‐5p, and hsa‐miR‐877‐5p may be used as diagnostic biomarkers for early LUAD.
format Online
Article
Text
id pubmed-9741994
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-97419942022-12-13 Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma Wu, Jing Feng, Zian Wang, Rui Li, Ang Wang, Hong He, Xiaodong Shen, Zuojun Cancer Med RESEARCH ARTICLES The aim of this study was to identify miRNAs in plasma exosomes as noninvasive biomarkers for the early diagnosis of lung adenocarcinoma (LUAD). First, exosomal miRNA profiling of three patients with early LUAD and three patients with benign lung disease were screened by next‐generation sequencing (NGS) method. Sequencing results showed that 154 exosomal miRNAs were differentially expressed in the plasma of LUAD patients, among which 68 miRNAs were up‐regulated and 86 miRNAs were down‐regulated. GSE137140 is a GEO database containing serum miRNAs sequencing data from 1566 lung cancer patients and 1774 non‐cancer patients controls. When comparing the sequencing data, it was found that most miRNAs (37/68) up‐regulated in our LUAD group were also significantly up‐regulated in GSE137140, suggesting that circulating miRNAs in lung cancer patients may be enriched in plasma exosomes. In GSE137140, the AUC of the combination of hsa‐miR‐103b, hsa‐miR‐29c‐5p and hsa‐miR‐877‐5p was 0.873, showing great potential as new tumor markers. To our knowledge, these three exosomal miRNAs have not been reported in lung cancer research. Furthermore, bioinformatics tools were used to analyze the target genes of three candidate miRNAs, which were indeed closely related to the occurrence and development of lung cancer. Bioinformatics algorithms deduced a highly conserved sequence in the 3’‐UTR of SFRP4, FOXM1 and TMEM98 that could be bound with miR‐103b/877‐5p/29c‐5p. A luciferase assay indicated that miR‐103b/877‐5p/29c‐5p directly targeted the 3’‐UTR of SFRP4, FOXM1 and TMEM98, respectively. Finally, three candidate miRNAs were validated by qRT‐PCR in 17 early LUAD samples and 17 control plasma samples. Integration of bioinformatics analysis and experimental validation identifies, this study provides novel insights into miRNA‐related networks in LUAD. Hsa‐miR‐103b, hsa‐miR‐29c‐5p, and hsa‐miR‐877‐5p may be used as diagnostic biomarkers for early LUAD. John Wiley and Sons Inc. 2022-05-18 /pmc/articles/PMC9741994/ /pubmed/35585716 http://dx.doi.org/10.1002/cam4.4788 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Wu, Jing
Feng, Zian
Wang, Rui
Li, Ang
Wang, Hong
He, Xiaodong
Shen, Zuojun
Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma
title Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma
title_full Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma
title_fullStr Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma
title_full_unstemmed Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma
title_short Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma
title_sort integration of bioinformatics analysis and experimental validation identifies plasma exosomal mir‐103b/877‐5p/29c‐5p as diagnostic biomarkers for early lung adenocarcinoma
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741994/
https://www.ncbi.nlm.nih.gov/pubmed/35585716
http://dx.doi.org/10.1002/cam4.4788
work_keys_str_mv AT wujing integrationofbioinformaticsanalysisandexperimentalvalidationidentifiesplasmaexosomalmir103b8775p29c5pasdiagnosticbiomarkersforearlylungadenocarcinoma
AT fengzian integrationofbioinformaticsanalysisandexperimentalvalidationidentifiesplasmaexosomalmir103b8775p29c5pasdiagnosticbiomarkersforearlylungadenocarcinoma
AT wangrui integrationofbioinformaticsanalysisandexperimentalvalidationidentifiesplasmaexosomalmir103b8775p29c5pasdiagnosticbiomarkersforearlylungadenocarcinoma
AT liang integrationofbioinformaticsanalysisandexperimentalvalidationidentifiesplasmaexosomalmir103b8775p29c5pasdiagnosticbiomarkersforearlylungadenocarcinoma
AT wanghong integrationofbioinformaticsanalysisandexperimentalvalidationidentifiesplasmaexosomalmir103b8775p29c5pasdiagnosticbiomarkersforearlylungadenocarcinoma
AT hexiaodong integrationofbioinformaticsanalysisandexperimentalvalidationidentifiesplasmaexosomalmir103b8775p29c5pasdiagnosticbiomarkersforearlylungadenocarcinoma
AT shenzuojun integrationofbioinformaticsanalysisandexperimentalvalidationidentifiesplasmaexosomalmir103b8775p29c5pasdiagnosticbiomarkersforearlylungadenocarcinoma