ArticlePeerJ2021
Network analysis of miRNA targeting m6A-related genes in patients with esophageal cancer.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 25 citations in OpenAlex.
- The mCells · 2026Review
- Unveiling the role of m6A modification in esophageal cancer: a new frontier in tumor innate interferon immunity.Cancer cell international · 2025Review
- Research on RNA modification in disease diagnosis and prognostic biomarkers: current status and challenges.Briefings in bioinformatics · 2025Review
- Regulatory mechanisms of m6A RNA methylation in esophageal cancer: a comprehensive review.Frontiers in genetics · 2025Review
- The implications of N6-methyladenosine (m6A) modification in esophageal carcinoma.Molecular biology reports · 2023Review
- m6A reading protein RBMX as a biomarker for prognosis and tumor progression in esophageal cancer.Translational cancer research · 2023Article
- Preliminary study using a small plasma extracellular vesicle miRNA panel as a potential biomarker for early diagnosis and prognosis in laryngeal cancer.Cellular oncology (Dordrecht, Netherlands) · 2023Article
- The diverse role of RNA methylation in esophageal cancer.Acta biochimica et biophysica Sinica · 2023Review
- Emerging Mutual Regulatory Roles between mInternational journal of molecular sciences · 2023Review
- The emerging role of mFrontiers in cell and developmental biology · 2023Review
- Effects of writers, erasers and readers within miRNA-related m6A modification in cancers.Cell proliferation · 2023Review
- CircDOCK1 Regulates miR-186/DNMT3A to Promote Osteosarcoma Progression.Biomedicines · 2022Article
- Article
- The Role of mCancers · 2022Review
- Role of main RNA modifications in cancer: NSignal transduction and targeted therapy · 2022Review
- The development of a novel signature based on the mFrontiers in genetics · 2022Article
- A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.Frontiers in genetics · 2022Article
- mMolecular cancer · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe investigated the miRNA-m6A related gene network and identified a miRNA-based prognostic signature in patients with esophageal cancer using integrated genomic analysis.
methodsWe obtained expression data for m6A-related genes and miRNAs from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Survival analysis was conducted to identify potential prognostic biomarkers. LASSO Cox regression was performed to construct the overall survival (OS) associated prediction signature. We used the Kaplan-Meier (K-M) curve and receiver operating characteristic (ROC) curves to explore the signature's efficiency and accuracy. Interactions between the m6A-related genes and miRNAs were identified in starBase3.0 and used to construct the miRNA-m6A related gene network.
resultsWe found that HNRNPC, YTHDF, ZC3H13, YTHDC2, and METTL14 were dysregulated in esophageal cancer tissues. Multivariate Cox regression analysis revealed that HNRNPC may be an independent risk factor for OS. Five hundred twenty-two potential upstream miRNAs were obtained from starBase3.0. Four miRNAs (miR-186, miR-320c, miR-320d, and miR-320b) were used to construct a prognostic signature, which could serve as a prognostic predictor independent from routine clinicopathological features. Finally, we constructed a key miRNA-m6A related gene network and used one m6A-related gene and four miRNAs associated with the prognosis. The results of our bioinformatics analysis were successfully validated in the human esophageal carcinoma cell lines KYSE30 and TE-1.
conclusionOur study identified a 4-miRNA prognostic signature and established a key miRNA-m6A related gene network. These tools may reliably assist with esophageal cancer patient prognosis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.