ArticleBMC bioinformatics2022
Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer.
Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 16 citations in OpenAlex.
- Expression of YTHDF1 and YTHDF2 in lung squamous cell carcinoma and their correlation with PD-L1.Journal of thoracic disease · 2026Article
- RNF216 as a Promising Biomarker for Prognosis, Immunotherapy, and Chemotherapy in LIHC: A Comprehensive Pan-Cancer Analysis and Experimental Validation.Journal of Cancer · 2026Article
- RNA modifications: roles in immune cell biology and tumor regulation.Cancer cell international · 2025Review
- PSMD14 Transcriptionally Activated by MEF2A Promotes Pancreatic Cancer Development by Upregulating SPON2 Expression.The Kaohsiung journal of medical sciences · 2025Article
- Tanshinone IIA affects the proliferation of A549/Tax by affecting the expression of MMP7 through the PI3K-AKT-mTOR signaling pathway.Discover oncology · 2025Article
- Molecular mechanism of ZC3H13 -mediated ferroptosis in doxorubicin resistance of triple negative breast cancer.Cell biology and toxicology · 2025Article
- Beyond destruction: emerging roles of the E3 ubiquitin ligase Hakai.Cellular & molecular biology letters · 2025Review
- Multi-omics analysis untangles the crosstalk between intratumor microbiome, lactic acid metabolism and immune status in lung squamous cell carcinoma.Frontiers in immunology · 2025Article
- The YTH domain-containing protein family: Emerging players in immunomodulation and tumour immunotherapy targets.Clinical and translational medicine · 2024Review
- CPADS: a web tool for comprehensive pancancer analysis of drug sensitivity.Briefings in bioinformatics · 2024Article
- The role of m6A methylation in targeted therapy resistance in lung cancer.American journal of cancer research · 2024Review
- Targeting METTL3 enhances the chemosensitivity of non-small cell lung cancer cells by decreasing ABCC2 expression in an mInternational journal of biological sciences · 2024Article
- Identification of m6A-associated genes as prognostic and immune-associated biomarkers in Wilms tumor.Discover oncology · 2023Article
- Roles of RNA Methylations in Cancer Progression, Autophagy, and Anticancer Drug Resistance.International journal of molecular sciences · 2023Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFew studies have demonstrated that the relationship between m6A-related genes and the prognosis, tumor microenvironment and drug resistance of LC.
methodsThe main results were analyzed with bioinformatics methods.
resultsHence, we found 10 m6A-related genes expressed less in tumor samples in comparison with normal ones. Using consensus clustering, all LC patients were grouped into 2 subgroups according to the overall expression of 10 differential expressed m6A-related genes. In two clusters, the OS and immune characteristics were different. We analyzed the predictive potential of 10 m6A-related genes in the prognosis of LC, and obtained a risk prognosis model on the strength of ZC3H13, CBLL1, ELAVL1 and YTHDF1 as the hub candidate genes through LASSO cox. The expression of 4 hub m6A-related genes was validated by IHC in the HPA database. The infiltration level of dendritic cell, CD4+ T cell and neutrophil that were affected by CNV level of m6A-related genes in LUAD and LUSC patients. Moreover, based on GSCALite database, we found that LUSC patients with hypermethylation tended to have a better overall survival. In terms of drug sensitivity, etoposide correlated negatively with ELAVL1, HNRNPC, RBM15B, YTHDF2 and CBLL1. ZC3H13 had positively association with afatinib, while HNRNPC was positively associated with dasatinib, erlotinib, lapatinib and TGX221. Crizotinib had a negative correlation with ELAVL1, CBLL1, HNRNPC and RBM15B.
conclusionIn conclusion, m6A-related genes are important participants in LC and the expression levels of ZC3H13, CBLL1, ELAVL1 and YTHDF1 are significant for prediction and treatment of LC. Researches of drug resistance based on m6A-related genes need to pay more attention for producing new therapeutic strategies of LC and CBLL1 may contribute to target treatment for further research.
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