Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration

Abstract Our aim was to investigate the potential value of immune-related miRNA signaling in predicting clinical prognosis and immunotherapy. We first identified immune-related miRNAs in lung adenocarcinoma (LUAD), and then constructed a miRNA-based risk model by lasso regression modeling. Finally,...

Full description

Saved in:
Bibliographic Details
Main Authors: Huanzhang Yang, Jingli Hua, Yanxia Han, Dong Chang, Wenlong Zheng
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-84128-2
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841559632456187904
author Huanzhang Yang
Jingli Hua
Yanxia Han
Dong Chang
Wenlong Zheng
author_facet Huanzhang Yang
Jingli Hua
Yanxia Han
Dong Chang
Wenlong Zheng
author_sort Huanzhang Yang
collection DOAJ
description Abstract Our aim was to investigate the potential value of immune-related miRNA signaling in predicting clinical prognosis and immunotherapy. We first identified immune-related miRNAs in lung adenocarcinoma (LUAD), and then constructed a miRNA-based risk model by lasso regression modeling. Finally, we validated our findings using RT-qPCR in serum from LUAD patients and normal patients. Weighted gene co-expression network analysis (WGCNA) was used to screen the aberrantly expressed genes associated with immune scores, and then correlation analysis and prognostic analysis were used to identify and immune-associated miRNAs, and lasso-cox regression was used to construct an immune-associated 5-miRNA model. Risk score as an independent prognostic factor could accurately predict the prognosis of LUAD patients. Immunotherapy analysis revealed that patients with low-risk scores benefited more from anti-PD-1 and CTLA-4 therapy. Experimental validation showed that only miRNA-200b-3p was significantly differentially expressed in 91 cases of clinically collected cancer tissues and normal tissue serum. We constructed a 5-miRNA model that can be used for risk stratification of LUAD patients. Targeted therapy against miRNA-200b-3p is expected to be a prospective new strategy for the clinical treatment of LUAD.
format Article
id doaj-art-fefc357d581c42cab5cbf0d13d173ff1
institution Kabale University
issn 2045-2322
language English
publishDate 2025-01-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-fefc357d581c42cab5cbf0d13d173ff12025-01-05T12:20:36ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-024-84128-2Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltrationHuanzhang Yang0Jingli Hua1Yanxia Han2Dong Chang3Wenlong Zheng4Department of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical CenterAbstract Our aim was to investigate the potential value of immune-related miRNA signaling in predicting clinical prognosis and immunotherapy. We first identified immune-related miRNAs in lung adenocarcinoma (LUAD), and then constructed a miRNA-based risk model by lasso regression modeling. Finally, we validated our findings using RT-qPCR in serum from LUAD patients and normal patients. Weighted gene co-expression network analysis (WGCNA) was used to screen the aberrantly expressed genes associated with immune scores, and then correlation analysis and prognostic analysis were used to identify and immune-associated miRNAs, and lasso-cox regression was used to construct an immune-associated 5-miRNA model. Risk score as an independent prognostic factor could accurately predict the prognosis of LUAD patients. Immunotherapy analysis revealed that patients with low-risk scores benefited more from anti-PD-1 and CTLA-4 therapy. Experimental validation showed that only miRNA-200b-3p was significantly differentially expressed in 91 cases of clinically collected cancer tissues and normal tissue serum. We constructed a 5-miRNA model that can be used for risk stratification of LUAD patients. Targeted therapy against miRNA-200b-3p is expected to be a prospective new strategy for the clinical treatment of LUAD.https://doi.org/10.1038/s41598-024-84128-2Lung adenocarcinomamiRNA-200b-3pPrognosisImmune infiltrationBiomarker
spellingShingle Huanzhang Yang
Jingli Hua
Yanxia Han
Dong Chang
Wenlong Zheng
Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration
Scientific Reports
Lung adenocarcinoma
miRNA-200b-3p
Prognosis
Immune infiltration
Biomarker
title Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration
title_full Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration
title_fullStr Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration
title_full_unstemmed Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration
title_short Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration
title_sort development and preliminary validation of five mirnas for lung adenocarcinoma prognostic model associated with immune infiltration
topic Lung adenocarcinoma
miRNA-200b-3p
Prognosis
Immune infiltration
Biomarker
url https://doi.org/10.1038/s41598-024-84128-2
work_keys_str_mv AT huanzhangyang developmentandpreliminaryvalidationoffivemirnasforlungadenocarcinomaprognosticmodelassociatedwithimmuneinfiltration
AT jinglihua developmentandpreliminaryvalidationoffivemirnasforlungadenocarcinomaprognosticmodelassociatedwithimmuneinfiltration
AT yanxiahan developmentandpreliminaryvalidationoffivemirnasforlungadenocarcinomaprognosticmodelassociatedwithimmuneinfiltration
AT dongchang developmentandpreliminaryvalidationoffivemirnasforlungadenocarcinomaprognosticmodelassociatedwithimmuneinfiltration
AT wenlongzheng developmentandpreliminaryvalidationoffivemirnasforlungadenocarcinomaprognosticmodelassociatedwithimmuneinfiltration