ArticleCancer cell international2021
NAT10 as a potential prognostic biomarker and therapeutic target for HNSCC.
Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 82 citations in OpenAlex.
- Structure-guided identification and experimental validation of NAT10-targeting small molecules in colorectal cancer cells.Journal of computer-aided molecular design · 2026Article
- Targeting NAT10 Activates Tumor-Intrinsic Immunity and Suppresses Tumor Progression in Head and Neck Squamous Cell Carcinoma.bioRxiv : the preprint server for biology · 2026Article
- An ac4C-CDK4 regulatory axis driven by NAT10 sustains proliferative signaling in colorectal cancer.Translational oncology · 2026Article
- Quetiapine inhibits the oxidative phosphorylation in head and neck squamous cell carcinoma through suppressing NAT10-mediated ac4C modification.Translational cancer research · 2026Article
- NAT10 as a central node in cancer biology: integrating epitranscriptomic regulation, metabolic reprogramming, and immune modulation.Frontiers in immunology · 2026Review
- N4-acetylcytidine modification bridges metabolic reprogramming and immune evasion in cancer: mechanisms and therapeutic implications.Frontiers in immunology · 2026Review
- Targeting NAT10 with Remodelin in cancer drug resistance: mechanisms, preclinical evidence, and combination strategies.Frontiers in pharmacology · 2026Review
- Functional roles and mechanisms of NAT10-mediated RNA acFrontiers in cell and developmental biology · 2026Review
- NAT10: a potential factor to reverse tumor chemotherapy resistance and radioresistance (Review).Frontiers in immunology · 2026Review
- The function of NAT10-driven N4-acetylcytidine modification in cancer: novel insights and potential therapeutic targets.Cell & bioscience · 2025Review
- Targeting oncogenic acetyltransferase NAT10 to overcome anti-PD-1 resistance in nasopharyngeal carcinoma.Journal for immunotherapy of cancer · 2025Article
- Atypical R-loops in cancer: decoding molecular chaos for therapeutic gain.Journal of translational medicine · 2025Review
- Bioinformatics identification and validation of m6A/m1A/m5C/m7G/ac4 C-modified genes in oral squamous cell carcinoma.BMC cancer · 2025Article
- Single-cell imaging of N4-acetylcytidine-modified RNA using fluorine metabolic labeling mediated proximity ligation assay.Nucleic acids research · 2025Article
- Deciphering the role of acetylation-related gene NAT10 in colon cancer progression and immune evasion: implications for overcoming drug resistance.Discover oncology · 2025Article
- NAT10 inhibition alleviates astrocyte autophagy by impeding ac4C acetylation ofActa pharmaceutica Sinica. B · 2025Article
- Biological function and mechanism of NAT10 in cancer.Cancer innovation · 2025Review
- The N-acetyltransferase 10 inhibitor [EJNMMI radiopharmacy and chemistry · 2025Article
- Research progress on NAT10-mediated acetylation in normal development and disease.Frontiers in cell and developmental biology · 2025Review
- Review
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Authors and funding
6 authors at 1 institution in 3 countries.
Funding
Abstract
backgroundIncreasing evidence has demonstrated the critical roles of mRNA modification regulators on multiple types of cancers. However, it is still poorly known about the prognostic and therapeutic value of mRNA modification regulators in HNSCC.
methodsThe gene expression profile of 36 mRNA modification regulators and their corresponding clinical data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Stepwise regression in R with both directions was used to construct a model for the prognosis of HNSCC. Univariate Cox regression survival analysis was performed to identify the most significant risk gene. Gene set enrichment analysis (GSEA) was applied to determine the cancer-associated pathways with NAT10. Immunohistochemistry (IHC) staining was performed to evaluate the expression of NAT10 in formalin fixed paraffin-embedded (FFPE) samples of HNSCC. Univariate and multivariate Cox regression survival analysis performed to identify the independent risk factors associated with the OS of patients with HNSCC. HNSCC cell lines (Cal-27, FaDu, and Detroit-562) were transfected with short interfering RNA (siRNA) targeting NAT10 or treated with Remodelin, a small-molecule inhibitor of NAT10. Knockdown efficiency of siRNA was assessed by quantitative real-time PCR (qRT-PCR) and western blotting. In addition, CCK-8 assay, scratch assay and transwell assay were used to examine the proliferation, migration, and invasion abilities of the three HNSCC cell lines after NAT10 was inhibited genetically and pharmaceutically. Cell cycle and cell apoptosis assays were performed by flow cytometry. Finally, the therapeutic value of Remodelin in HNSCC was evaluated via a patient-derived xenograft (PDX) model. The statistical analysis was performed with SPSS 23.0.
resultsA risk prediction model containing 10 mRNA modification regulators was constructed and showed prognostic value in HNSCC. NAT10 was further identified as a key risk gene and independent prognostic factor in TCGA HNSCC dataset. The GSEA analysis suggested that high NAT10 expression was associated with MYC, E2F, G2M checkpoint, mTORC1, DNA repair and oxidative phosphorylation pathways. NAT10 protein expression was significantly up-regulated in tumour cells compared to normal epithelial cells in FFPE samples and increased NAT10 protein expression was correlated with poor overall survival of 267 HNSCC patients. Genetic depletion of NAT10 using siRNA or chemical inhibition of NAT10 using Remodelin resulted in reduced cell proliferation, migration and invasion abilities in Cal-27, FaDu and Detroit-562 cells. Knockdown of NAT10 using siRNA significantly increased cell cycle arrest in S/G2-phase. Remodelin significantly inhibited tumour growth and tumour cell proliferation in the PDX model of HNSCC.
conclusionsNAT10 could be a potential prognostic marker and a therapeutic target for HNSCC.
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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.