ArticleJournal of gastrointestinal oncology2021
Differential analysis of RNA methylation regulators in gastric cancer based on TCGA data set and construction of a prognostic model.
Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 37 citations in OpenAlex.
- mCell death & disease · 2026Article
- ITPG: an immune-related transcriptomic predictive model for gastric cancer prognosis.Translational cancer research · 2026Article
- Clinical Significance of RBM15 in Gastric Cancer: A Multi-Database Validation.Current medicinal chemistry · 2026Article
- Targeting tRNA methyltransferases: from molecular mechanisms to drug discovery.Science China. Life sciences · 2025Review
- Targeting epigenetic regulators as a promising avenue to overcome cancer therapy resistance.Signal transduction and targeted therapy · 2025Review
- Bioinformatics identification and validation of m6A/m1A/m5C/m7G/ac4 C-modified genes in oral squamous cell carcinoma.BMC cancer · 2025Article
- ALKBH3-regulated mActa pharmaceutica Sinica. B · 2025Article
- Association between TRMT61B gene polymorphism and Wilms tumor susceptibility in Chinese children.BMC cancer · 2025Article
- Impact of TRMT6 on prognosis and immune microenvironment in ovarian cancer.Frontiers in oncology · 2025Article
- Role and mechanisms of m6A demethylases in digestive system tumors.American journal of cancer research · 2025Review
- RNA 5-Methylcytosine Modification: Regulatory Molecules, Biological Functions, and Human Diseases.Genomics, proteomics & bioinformatics · 2024Review
- Clinician's Guide to Epitranscriptomics: An Example of NLife (Basel, Switzerland) · 2024Review
- Pan-cancer analysis of m1A writer gene RRP8: implications for immune infiltration and prognosis in human cancers.Discover oncology · 2024Article
- A novel m6A/m5C/m1A/m7G-related classification and risk signature predicts prognosis and reveals immunotherapy inclination in gastric cancer.Translational cancer research · 2024Article
- mBMC cancer · 2024Article
- Development of m6A/m5C/m1A regulated lncRNA signature for prognostic prediction, personalized immune intervention and drug selection in LUAD.Journal of cellular and molecular medicine · 2024Article
- Article
- Identification and validation of novel prognostic signatures based on m5C methylation patterns and tumor EMT profiles in head and neck squamous cell carcinoma.Scientific reports · 2023Article
- Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma.Cancer cell international · 2023Article
- Mitochondrial RNA methyltransferase TRMT61B is a new, potential biomarker and therapeutic target for highly aneuploid cancers.Cell death and differentiation · 2023Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMethylation is one of the common forms of RNA modification, which mainly include N6-methyladenosine (m6A), C5-methylcytidine (m5C), and N1-methyladenosine (m1A). Numerous studies have shown that RNA methylation is associated with tumor development. We aim to construct prognostic models of gastric cancer based on RNA methylation regulators.
methodsThe transcriptome and clinical data of gastric cancer and normal samples were obtained from the National Cancer Institute Genome Data Commons (NCI-GDC). Use Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis to construct risk models for different types of RNA methylation. Receiver operating characteristic (ROC) curves were generated to evaluate the predictive efficiency of risk characteristics. Cluster heat maps are used to assess the correlation with clinical information. Univariate and multivariate Cox analyses were used to analyze prognostic effects of risk scores. Gene Set Enrichment Analysis (GSEA) analyzes the functional enrichment of RNA methylation genes. And make a separate analysis of the data of Asians.
resultsThe expression of most of the 30 RNA methylation regulators were significantly different in cancer and paracancerous tissues (P<0.05). Three methylated genes (
conclusionsThe methylation prognosis model constructed in this study can effectively predict the prognosis of gastric cancer patients.
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