ArticleScientific reports2023
Bioinformatic analysis of m6A "reader" YTH family in pan-cancer as a clinical prognosis biomarker.
Article in Scientific reports, 2023. 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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Who cites it
7 citing papers in PubMed.
- YTHDF3 Promotes the Progression of Gastric Cancer by Activating the Wnt/β-Catenin Signaling Pathway via Targeting NEK7.Journal of gastroenterology and hepatology · 2026Article
- IGF2BP3 redirects glycolytic flux to promote one-carbon metabolism and RNA methylation.Cell reports · 2025Article
- TIGD6 in gastric cancer: exploring its prognostic value and therapeutic potential through molecular and clinical investigations.European journal of medical research · 2025Article
- Comprehensive Analysis and Experimental Validation of TLL2 as a Potential New Prognostic Biomarker Associated with Immune Infiltration in Lung Adenocarcinoma.Recent patents on anti-cancer drug discovery · 2025Article
- The three YTHDF paralogs and VIRMA are strong cross-histotype tumor driver candidates among mNAR cancer · 2024Article
- The YTH domain-containing protein family: Emerging players in immunomodulation and tumour immunotherapy targets.Clinical and translational medicine · 2024Review
- Detecting the Tumor Prognostic Factors From the YTH Domain Family Through Integrative Pan-Cancer Analysis.Cancer informatics · 2024Article
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Authors and funding
9 authors.
Funding
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Abstract
The m6A methylation of mRNA has been demonstrated to interact with the "Reader". YTH domain family is one of the readers containing five members involved in the progression of multiple tumors. The present study aimed to explore the YTH family's role in seventeen cancer types. Data were downloaded from The Cancer Genome Atlas (TCGA) dataset and analyzed by Software R 3.6.3. Using different bioinformatics methods, including analyses of the overall survival (OS) and disease-free survival (DFS), Gene Set Variation Analysis (GSVA) enrichment. Genomics of Drug Sensitivity in Cancer (GDSC), CIBERSORT algorithm, multivariate and lasso cox regression analysis our results reveal that, while the expression of the YTH domain family varies distinctively in different cancer types the expression of YTH family is upregulated in most cancer types, especially in liver cancer, and the liver cancer prediction model established herein includes YTHDF1 and YTHDF2. Therefore, the results of the present study have demonstrated that the YTH domain family has the potential to predict the prognosis of cancer and the sensitivity to immunotherapy.
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