ArticleBMC cancer2023
YTHDF3as a prognostic predictive biomarker of thyroid cancer and its correlation with immune infiltration.
Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Correlations of m6A methylation-related mRNAs with thyroid cancer.Scientific reports · 2026Article
- YTHDF3 Promoted Gastric Cancer Progression by Facilitating mAnalytical cellular pathology (Amsterdam) · 2026Article
- Synergistic potential of CDH3 in targeting CRC metastasis and enhancing immunotherapy.BMC cancer · 2025Article
- The diverse landscape of RNA modifications in cancer development and progression.Genes & genomics · 2025Review
- FTO is Associated with Patient Prognosis and Immune Infiltrates in Gastric Cancer and Regulates TGF-β Expression.Combinatorial chemistry & high throughput screening · 2025Article
- The role of epigenetic methylations in thyroid Cancer.World journal of surgical oncology · 2024Review
- Review
- RNA modifications in cancer immune therapy: regulators of immune cells and immune checkpoints.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
purposeThyroid cancer (TC) is one of the most common endocrine malignancies, and its morbidity continues to rise. N
methodRNA-seq data of TC was downloaded from the Cancer Genome Atlas (TCGA) database to screen out the differential expressed regulators. The absolute contraction selection operator (Lasso) Cox regression was used to construct the risk model of m
resultsIGF2BP2, YTHDF1 and YTHDF3 were screened out as strong independent prognostic factors of TC. Then a risk score model was established to further screen the predictors. Finally, according to the results of overall survival (OS) and clinical characteristics of TC, YTHDF3 was screened out as a potential predictor. Meanwhile, IHC and qPCR confirmed that YTHDF3 was expressed differential in TC. The expression of YTHDF3 was positively associated with the infiltration level of CD4
conclusionWe confirmed that YTHDF3 can be used as a potential prognostic biomarker of TC. It not only plays a decisive role in the initiation and development of TC, but also provides a new perspective for understanding the modification of m
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Registered trials
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