Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinoma

Abstract Background Lung cancer is the most widespread and fatal oncological disease, with lung adenocarcinoma (LUAD) being the predominant subtype, characterized by a poor long-term survival rate. Although the N7-methylguanosone (m7G) genes have been reported to be correlated with the prognosis of...

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Main Authors: Kaijun Long, Kai Wang, Manjun Gao, Yao Wang, Yang Tang, Cheng Chen, Xixian Ke
Format: Article
Language:English
Published: BMC 2025-06-01
Series:European Journal of Medical Research
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Online Access:https://doi.org/10.1186/s40001-025-02744-8
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author Kaijun Long
Kai Wang
Manjun Gao
Yao Wang
Yang Tang
Cheng Chen
Xixian Ke
author_facet Kaijun Long
Kai Wang
Manjun Gao
Yao Wang
Yang Tang
Cheng Chen
Xixian Ke
author_sort Kaijun Long
collection DOAJ
description Abstract Background Lung cancer is the most widespread and fatal oncological disease, with lung adenocarcinoma (LUAD) being the predominant subtype, characterized by a poor long-term survival rate. Although the N7-methylguanosone (m7G) genes have been reported to be correlated with the prognosis of lung cancer, m7G gene-associated Long non-coding RNA (lncRNAs) have been poorly studied in LUAD. This study aimed to explore the prognostic value of an m7G-related lncRNAs model in LUAD. Methods Transcriptome and clinical data of LUAD patients were downloaded from the TCGA database. Pearson correlation analysis and Cox regression analysis were utilized to identify lncRNAs associated with m7G-related genes and prognosis. Then m7G-related prognostic model was constructed by LASSO regression analysis, with its accuracy and independence were validated by AUC curve, survival analysis and COX regression, respectively. Subsequently, a nomogram, KEGG analysis, GO analysis and immune infiltration analysis were applied successively to reveal potential prognosis of LUAD patients based on prognostic model. Finally, expression level of hub lncRNAs in the mode was detected by RT-qPCR, and the correlation analysis revealed the relationship between hub lncRNAs and clinical information of LUAD patients. Results The m7G-related lncRNA prognosis model for LUAD, consisting of 6 lncRNAs, stratified patients into high- and low- risk groups. High-risk patients were associated with poor prognosis, and the model’s accuracy was confirmed by ROC curves, with the AUC of all-year approaching 0.737. Expression of AC007128.1 and HNRNPUP1 were higher in tumor tissues compared to normal tissue, while the other lncRNAs showed the opposite state, supporting the model’s signature. Immune infiltration analysis indicated that patients in the low-risk group were closely related to better immune cell infiltration and more highly expressed immune checkpoint genes. Conclusions The prognosis model of six m7G-related lncRNAs can accurately predict the OS of LUAD patients and provide valuable insights for treatment strategies.
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spelling doaj-art-e966b97fe2a343ca8c029c390df6696c2025-08-20T02:39:43ZengBMCEuropean Journal of Medical Research2047-783X2025-06-0130111710.1186/s40001-025-02744-8Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinomaKaijun Long0Kai Wang1Manjun Gao2Yao Wang3Yang Tang4Cheng Chen5Xixian Ke6Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical UniversityDepartment of Thoracic Surgery, Affiliated Hospital of Zunyi Medical UniversityDepartment of Health Management, Affiliated Hospital of Zunyi Medical UniversityDepartment of Thoracic Surgery, Affiliated Hospital of Zunyi Medical UniversityDepartment of Thoracic Surgery, Affiliated Hospital of Zunyi Medical UniversityDepartment of Thoracic Surgery, Affiliated Hospital of Zunyi Medical UniversityDepartment of Thoracic Surgery, Affiliated Hospital of Zunyi Medical UniversityAbstract Background Lung cancer is the most widespread and fatal oncological disease, with lung adenocarcinoma (LUAD) being the predominant subtype, characterized by a poor long-term survival rate. Although the N7-methylguanosone (m7G) genes have been reported to be correlated with the prognosis of lung cancer, m7G gene-associated Long non-coding RNA (lncRNAs) have been poorly studied in LUAD. This study aimed to explore the prognostic value of an m7G-related lncRNAs model in LUAD. Methods Transcriptome and clinical data of LUAD patients were downloaded from the TCGA database. Pearson correlation analysis and Cox regression analysis were utilized to identify lncRNAs associated with m7G-related genes and prognosis. Then m7G-related prognostic model was constructed by LASSO regression analysis, with its accuracy and independence were validated by AUC curve, survival analysis and COX regression, respectively. Subsequently, a nomogram, KEGG analysis, GO analysis and immune infiltration analysis were applied successively to reveal potential prognosis of LUAD patients based on prognostic model. Finally, expression level of hub lncRNAs in the mode was detected by RT-qPCR, and the correlation analysis revealed the relationship between hub lncRNAs and clinical information of LUAD patients. Results The m7G-related lncRNA prognosis model for LUAD, consisting of 6 lncRNAs, stratified patients into high- and low- risk groups. High-risk patients were associated with poor prognosis, and the model’s accuracy was confirmed by ROC curves, with the AUC of all-year approaching 0.737. Expression of AC007128.1 and HNRNPUP1 were higher in tumor tissues compared to normal tissue, while the other lncRNAs showed the opposite state, supporting the model’s signature. Immune infiltration analysis indicated that patients in the low-risk group were closely related to better immune cell infiltration and more highly expressed immune checkpoint genes. Conclusions The prognosis model of six m7G-related lncRNAs can accurately predict the OS of LUAD patients and provide valuable insights for treatment strategies.https://doi.org/10.1186/s40001-025-02744-8Lung adenocarcinomaM7GLncRNAPrognostic modelGSEAImmune characteristics
spellingShingle Kaijun Long
Kai Wang
Manjun Gao
Yao Wang
Yang Tang
Cheng Chen
Xixian Ke
Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinoma
European Journal of Medical Research
Lung adenocarcinoma
M7G
LncRNA
Prognostic model
GSEA
Immune characteristics
title Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinoma
title_full Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinoma
title_fullStr Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinoma
title_full_unstemmed Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinoma
title_short Prognostic risk model of six m7 g-related lncRNAs in lung adenocarcinoma
title_sort prognostic risk model of six m7 g related lncrnas in lung adenocarcinoma
topic Lung adenocarcinoma
M7G
LncRNA
Prognostic model
GSEA
Immune characteristics
url https://doi.org/10.1186/s40001-025-02744-8
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