ArticleFrontiers in genetics2022
Identification of a novel m5C/m6A-related gene signature for predicting prognosis and immunotherapy efficacy in lung adenocarcinoma.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- LncRNA-ATB Orchestrates Tumor Growth and Immune Responses Through the Modulation of IGF2BP2 in Non-Small-Cell Lung Cancer.IUBMB life · 2026Article
- Multi-omics and network pharmacology identify IGFBP1 as an m6A-Epigenetic target of pueraria in NSCLC therapy.PLoS computational biology · 2026Article
- RNA epitranscriptomic regulation of tumor immune evasion: mechanisms, context-dependent roles, and therapeutic implications.Frontiers in immunology · 2026Review
- ALYREF-Mediated Regulation of TBL1XR1 and KMT2E Synergistically Upregulates APOC1, Contributing to Oxaliplatin Resistance in Esophageal Cancer.Cancer research and treatment · 2025Article
- NSUN4 Facilitates the Activity of Oncogenic Protein CDC20 to Promote NSCLC Development by Mediating m5C Modification of CDC20 mRNA.Thoracic cancer · 2025Article
- Recent advances in biomarkers for predicting the efficacy of immunotherapy in non-small cell lung cancer.Frontiers in immunology · 2025Review
- Review
- Aberrant NSUN2-mediated m5C modification of exosomal LncRNA MALAT1 induced RANKL-mediated bone destruction in multiple myeloma.Communications biology · 2024Article
- Article
- Leveraging an immune cell signature to improve the survival and immunotherapy response of lung adenocarcinoma.Journal of Cancer · 2024Article
- LINC02159 promotes non-small cell lung cancer progression via ALYREF/YAP1 signaling.Molecular cancer · 2023Article
- Biomarkers for Immune Checkpoint Inhibitor Response in NSCLC: Current Developments and Applicability.International journal of molecular sciences · 2023Review
- Development and Validation of a Machine Learning Prognostic Model of m5C Related immune Genes in Lung Adenocarcinoma.Cancer control : journal of the Moffitt Cancer CenterArticle
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4 authors.
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Abstract
Lung adenocarcinoma (LUAD) is the most prevalent subtype of non-small cell lung cancer (NSCLC) and is associated with high mortality rates. However, effective methods to guide clinical therapeutic strategies for LUAD are still lacking. The goals of this study were to analyze the relationship between an m5C/m6A-related signature and LUAD and construct a novel model for evaluating prognosis and predicting drug resistance and immunotherapy efficacy. We obtained data from LUAD patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Based on the differentially expressed m5C/m6A-related genes, we identified distinct m5C/m6A-related modification subtypes in LUAD by unsupervised clustering and compared the differences in functions and pathways between different clusters. In addition, a risk model was constructed using multivariate Cox regression analysis based on prognostic m5C/m6A-related genes to predict prognosis and immunotherapy response. We showed the landscape of 36 m5C/m6A regulators in TCGA-LUAD samples and identified 29 differentially expressed m5C/m6A regulators between the normal and LUAD groups. Two m5C/m6A-related subtypes were identified in 29 genes. Compared to cluster 2, cluster 1 had lower m5C/m6A regulator expression, higher OS (overall survival), higher immune activity, and an abundance of infiltrating immune cells. Four m5C/m6A-related gene signatures consisting of HNRNPA2B1, IGF2BP2, NSUN4, and ALYREF were used to construct a prognostic risk model, and the high-risk group had a worse prognosis, higher immune checkpoint expression, and tumor mutational burden (TMB). In patients treated with immunotherapy, samples with high-risk scores had higher expression of immune checkpoint genes and better immunotherapeutic efficacy than those with low-risk scores. We concluded that the m5C/m6A regulator-related risk model could serve as an effective prognostic biomarker and predict the therapeutic sensitivity of chemotherapy and immunotherapy.
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