ArticleCancer medicine2016
Prognostic microRNA signatures derived from The Cancer Genome Atlas for head and neck squamous cell carcinomas.
Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed, 82 citations in OpenAlex.
- Article
- Core microRNAs regulate neural crest delamination and condensation in the developing trigeminal ganglion.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Potential Role of the Intratumoral Microbiota in Prognosis of Head and Neck Cancer.International journal of molecular sciences · 2023Article
- Preliminary study using a small plasma extracellular vesicle miRNA panel as a potential biomarker for early diagnosis and prognosis in laryngeal cancer.Cellular oncology (Dordrecht, Netherlands) · 2023Article
- Identification of a novel MYC target gene set signature for predicting the prognosis of osteosarcoma patients.Frontiers in oncology · 2023Article
- Scalable transcriptomics analysis with Dask: applications in data science and machine learning.BMC bioinformatics · 2022Review
- Article
- Multiple microRNA signature panel as promising potential for diagnosis and prognosis of head and neck cancer.Molecular biology reports · 2022Review
- MicroRNA-182-5p and microRNA-205-5p as potential biomarkers for prognostic stratification of p16-positive oropharyngeal squamous cell carcinoma.Cancer biomarkers : section A of Disease markers · 2022Article
- Clinical significance of the serum miR-455-5p expression in patients with neonatal sepsis.Bioengineered · 2021Article
- Identification of key genes for HNSCC from public databases using bioinformatics analysis.Cancer cell international · 2021Article
- Article
- Identifying biomolecules and constructing a prognostic risk prediction model for recurrence in osteosarcoma.Journal of bone oncology · 2021Article
- Regulation of microRNA-497 expression in human cancer.Oncology letters · 2021Review
- Prognostic nomogram based on immune scores for laryngeal squamous cell cancer.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021Article
- Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer.Journal of cellular physiology · 2020Article
- Identification of Prognosis Associated microRNAs in HNSCC Subtypes Based on TCGA Dataset.Medicina (Kaunas, Lithuania) · 2020Article
- Identification of core biomarkers associated with pathogenesis and prognostic outcomes of laryngeal squamous-cell cancer using bioinformatics analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2020Article
- A transcriptional metabolic gene-set based prognostic signature is associated with clinical and mutational features in head and neck squamous cell carcinoma.Journal of cancer research and clinical oncology · 2020Article
- Prediction of survival of HPV16-negative, p16-negative oral cavity cancer patients using a 13-gene signature: A multicenter study using FFPE samples.Oral oncology · 2020Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Identification of novel prognostic biomarkers typically requires a large dataset which provides sufficient statistical power for discovery research. To this end, we took advantage of the high-throughput data from The Cancer Genome Atlas (TCGA) to identify a set of prognostic biomarkers in head and neck squamous cell carcinomas (HNSCC) including oropharyngeal squamous cell carcinoma (OPSCC) and other subtypes. In this study, we analyzed miRNA-seq data obtained from TCGA patients to identify prognostic biomarkers for OPSCC. The identified miRNAs were further tested with an independent cohort. miRNA-seq data from TCGA was also analyzed to identify prognostic miRNAs in oral cavity squamous cell carcinoma (OSCC) and laryngeal squamous cell carcinoma (LSCC). Our study identified that miR-193b-3p and miR-455-5p were positively associated with survival, and miR-92a-3p and miR-497-5p were negatively associated with survival in OPSCC. A combined expression signature of these four miRNAs was prognostic of overall survival in OPSCC, and more importantly, this signature was validated in an independent OPSCC cohort. Furthermore, we identified four miRNAs each in OSCC and LSCC that were prognostic of survival, and combined signatures were specific for subtypes of HNSCC. A robust 4-miRNA prognostic signature in OPSCC, as well as prognostic signatures in other subtypes of HNSCC, was developed using sequencing data from TCGA as the primary source. This demonstrates the power of using TCGA as a potential resource to develop prognostic tools for improving individualized patient care.
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