ArticleJournal of cellular physiology2020
Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer.
Article in Journal of cellular physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 38 citations in OpenAlex.
- Novel nomogram and decision curve analysis for predicting head and neck skin cancer risk.Scientific reports · 2025Article
- Function and Mechanism of Small Nucleolar RNAs (snoRNAs) and Their Host Genes (SNHGs) in Malignant Tumors.Biomolecules · 2025Review
- Identification of lactylation-related biomarkers in HNSC by integrating machine learning and Spatial transcriptomics analysis.Discover oncology · 2025Article
- Integrating AI and RNA biomarkers in cancer: advances in diagnostics and targeted therapies.Cell communication and signaling : CCS · 2025Review
- Small nucleolar RNAs: the hidden precursors of cancer ribosomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Small Nucleolar RNAs in Head and Neck Squamous Cell Carcinomas.Journal of dental research · 2025Review
- Recent advances in biomarker detection of oral squamous cell carcinoma.Frontiers in oncology · 2025Review
- Review
- Article
- Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography.BMC oral health · 2024Article
- The Role of Biomarkers in HPV-Positive Head and Neck Squamous Cell Carcinoma: Towards Precision Medicine.Diagnostics (Basel, Switzerland) · 2024Review
- Disulfidptosis features and prognosis in head and neck squamous cell carcinoma patients: unveiling and validating the prognostic signature across cohorts.Journal of cancer research and clinical oncology · 2024Article
- The emerging role of snoRNAs in human disease.Genes & diseases · 2023Review
- Review
- RNA-Based Liquid Biopsy in Head and Neck Cancer.Cells · 2023Review
- Review
- Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B-cell lymphoma.Cancer medicine · 2023Article
- Expression and molecular regulation of non-coding RNAs in HPV-positive head and neck squamous cell carcinoma.Frontiers in oncology · 2023Review
- Polo-like kinase 1 as a biomarker predicts the prognosis and immunotherapy of breast invasive carcinoma patients.Oncology research · 2023Article
- A prognostic signature based on snoRNA predicts the overall survival of lower-grade glioma patients.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with high mortality and poor prognosis due to a lack of predictive markers. Increasing evidence has demonstrated small nucleolar RNAs (snoRNAs) play an important role in tumorigenesis. The aim of this study was to identify a prognostic snoRNA signature of HNSCC. Survival-related snoRNAs were screened by Cox regression analysis (univariate, least absolute shrinkage and selection operator, and multivariate). The predictive value was validated in different subgroups. The biological functions were explored by coexpression analysis and gene set enrichment analysis (GSEA). One hundred and thirteen survival-related snoRNAs were identified, and a five-snoRNA signature predicted prognosis with high sensitivity and specificity. Furthermore, the signature was applicable to patients of different sexes, ages, stages, grades, and anatomic subdivisions. Coexpression analysis and GSEA revealed the five-snoRNA are involved in regulating malignant phenotype and DNA/RNA editing. This five-snoRNA signature is not only a promising predictor of prognosis and survival but also a potential biomarker for patient stratification management.
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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.