The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics

ObjectiveRNA methylation modifications play biological roles in tumorigenicity and immune response, mainly mediated by the “writer” enzyme. Lung adenocarcinoma (LUAD) development is closely related to RNA methylation. Here, the prognostic values of the “writer” enzymes and the tumor immunosurveillan...

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Main Authors: Sha Yin, Guangyan Luo, Lei Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Genetics
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Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2025.1541541/full
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author Sha Yin
Guangyan Luo
Lei Luo
author_facet Sha Yin
Guangyan Luo
Lei Luo
author_sort Sha Yin
collection DOAJ
description ObjectiveRNA methylation modifications play biological roles in tumorigenicity and immune response, mainly mediated by the “writer” enzyme. Lung adenocarcinoma (LUAD) development is closely related to RNA methylation. Here, the prognostic values of the “writer” enzymes and the tumor immunosurveillance in LUAD aim to provide new theoretical references for the research of LUAD.MethodsGenes associated with RNA methylation writer protein in LUAD were identified using The Cancer Genome Atlas Program (TCGA) data and weighted gene co-expression network analysis (WGCNA). Independent prognostic factors were screened by Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses. A prognostic risk model and a nomogram were established using these genes. Moreover, Gene Set Enrichment Analysis (GSEA) and CIBERSORTx were used to analyze the immune cell infiltration and enrichment pathways in the low- and high-risk groups, respectively. In addition, genes’ potential functions and regulatory mechanisms were explored through gene-gene interaction (GGI) networks and competing endogenous RNA (ceRNA) networks.ResultsWe selected 202 genes associated with RNA methylation writer proteins, from which we identified the three genes (CLEC3B, GRIA1, and ANOS1). A prognostic risk model was constructed based on genes associated with RNA methylation writer proteins and stage, demonstrating reliable predictive performance. GGI analysis revealed GRIA1 as a crucial gene. Enrichment analysis revealed that the high-risk group had upregulated pathways connected to cell division. Additionally, immune infiltration analysis revealed that the significantly higher levels of NK cells, activated mast cells, activated CD4 memory cells, and M0 and M1 macrophages displayed in the high-risk group, while the significantly lower levels of monocytes, dendritic cells, M2 macrophages, and inactive CD4 memory cells were in the low-risk group. Moreover, Spearman correlation analysis demonstrated that the three prognostic genes and risk scores correlated highly with various immune cells.ConclusionThis study identified three prognostic genes related to RNA methylation writer proteins in LUAD. A reliable prognostic model was constructed. The identified prognostic genes also play significant roles in immune cell infiltration in LUAD. This study provides new theoretical references for subsequent in-depth research on LUAD.
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spelling doaj-art-aa166cab31d441a29c3f44faa4e759222025-08-20T03:18:15ZengFrontiers Media S.A.Frontiers in Genetics1664-80212025-06-011610.3389/fgene.2025.15415411541541The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformaticsSha Yin0Guangyan Luo1Lei Luo2Good Clinical Practice Center, Guizhou Provincial People’s Hospital, Guiyang, ChinaDepartment of Gastroenterology, Qianxi People’s Hospital, Bijie, ChinaGood Clinical Practice Center, Guizhou Provincial People’s Hospital, Guiyang, ChinaObjectiveRNA methylation modifications play biological roles in tumorigenicity and immune response, mainly mediated by the “writer” enzyme. Lung adenocarcinoma (LUAD) development is closely related to RNA methylation. Here, the prognostic values of the “writer” enzymes and the tumor immunosurveillance in LUAD aim to provide new theoretical references for the research of LUAD.MethodsGenes associated with RNA methylation writer protein in LUAD were identified using The Cancer Genome Atlas Program (TCGA) data and weighted gene co-expression network analysis (WGCNA). Independent prognostic factors were screened by Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses. A prognostic risk model and a nomogram were established using these genes. Moreover, Gene Set Enrichment Analysis (GSEA) and CIBERSORTx were used to analyze the immune cell infiltration and enrichment pathways in the low- and high-risk groups, respectively. In addition, genes’ potential functions and regulatory mechanisms were explored through gene-gene interaction (GGI) networks and competing endogenous RNA (ceRNA) networks.ResultsWe selected 202 genes associated with RNA methylation writer proteins, from which we identified the three genes (CLEC3B, GRIA1, and ANOS1). A prognostic risk model was constructed based on genes associated with RNA methylation writer proteins and stage, demonstrating reliable predictive performance. GGI analysis revealed GRIA1 as a crucial gene. Enrichment analysis revealed that the high-risk group had upregulated pathways connected to cell division. Additionally, immune infiltration analysis revealed that the significantly higher levels of NK cells, activated mast cells, activated CD4 memory cells, and M0 and M1 macrophages displayed in the high-risk group, while the significantly lower levels of monocytes, dendritic cells, M2 macrophages, and inactive CD4 memory cells were in the low-risk group. Moreover, Spearman correlation analysis demonstrated that the three prognostic genes and risk scores correlated highly with various immune cells.ConclusionThis study identified three prognostic genes related to RNA methylation writer proteins in LUAD. A reliable prognostic model was constructed. The identified prognostic genes also play significant roles in immune cell infiltration in LUAD. This study provides new theoretical references for subsequent in-depth research on LUAD.https://www.frontiersin.org/articles/10.3389/fgene.2025.1541541/fulllung adenocarcinomaRNA methylation writer proteinsbiomarkerprognostic risk modeimmune cell infiltration
spellingShingle Sha Yin
Guangyan Luo
Lei Luo
The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics
Frontiers in Genetics
lung adenocarcinoma
RNA methylation writer proteins
biomarker
prognostic risk mode
immune cell infiltration
title The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics
title_full The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics
title_fullStr The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics
title_full_unstemmed The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics
title_short The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics
title_sort mechanism of rna methylation writing protein related prognostic genes in lung adenocarcinoma based on bioinformatics
topic lung adenocarcinoma
RNA methylation writer proteins
biomarker
prognostic risk mode
immune cell infiltration
url https://www.frontiersin.org/articles/10.3389/fgene.2025.1541541/full
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