ArticleAmerican journal of cancer research2022
Development and validation of prognostic m6A-related lncRNA and mRNA model in thyroid cancer.
Article in American journal of cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
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Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- Mechanistic and Clinical Perspectives on Traditional Chinese Medicine in Thyroid Cancer Management.Biomolecules & therapeutics · 2026Review
- Molecular Subtype Identification and Prognostic Prediction of Pancreatic Cancer Based on m6A/m5C/m1A-Related Genes.Journal of cellular and molecular medicine · 2026Article
- Prognostic value of anoikis- and epithelial-mesenchymal transition-related genes and development of a prognostic risk model in thyroid cancer.Discover oncology · 2025Article
- Prediction of TNFRSF9 expression and molecular pathological features in thyroid cancer using machine learning to construct Pathomics models.Endocrine · 2024Article
- Overview of the interplay between m6A methylation modification and non-coding RNA and their impact on tumor cells.Translational cancer research · 2024Review
- Construction of an immune-related prognostic model and potential drugs screening for esophageal cancer based on bioinformatics analyses and network pharmacology.Immunity, inflammation and disease · 2024Article
- The emerging roles of N6-methyladenosine RNA modifications in thyroid cancer.European journal of medical research · 2023Review
Corrections and comments
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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
Although N6-methyladenosine (m6A) regulators and lncRNAs influence the carcinogenesis of thyroid cancer (THCA), the association between m6A-related lncRNAs and THCA remains unexplored. Therefore, we have developed and validated a prognostic model based on m6A-related lncRNAs and mRNAs in THCA. Data from the Cancer Genome Atlas were used to analyze the expression and prognostic characteristics of m6A-related lncRNAs and mRNAs in THCA. Univariate Cox regression analysis was used to screen out independent prognostic factors, while Lasso Cox regression was performed to construct m6A-related lncRNA and mRNA models. The correlation between the prognostic models and gene mutation, immune cell infiltration, tumor microenvironment score, tumor mutational burden, and microsatellite instability were assessed. The prognostic models showed excellent accuracy in predicting the prognosis of patients with THCA. Our study established an m6A-related nomogram capable of predicting the prognosis of patients with THCA. In addition, the hub lncRNAs and mRNAs provide insight into improving the prognosis of THCA. These findings can improve our understanding of m6A modifications in THCA and the prognosis and treatment strategies of THCA.
Indexed as
Identifiers
35968348PMC9360246W4300849233What OpenQuestion holds
Registered trials
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.