ArticlePloS one2020
Salivary microRNA miR-let-7a-5p and miR-3928 could be used as potential diagnostic bio-markers for head and neck squamous cell carcinoma.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.
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Who cites it
40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Identification of common salivary miRNA in oral lichen planus and oral squamous cell carcinoma: systematic review and meta-analysis.BMC oral health · 2024Pooled it
- Extensive comparison of salivary collection, transportation, preparation, and storage methods: a systematic review.BMC oral health · 2024Pooled it
- Diagnostic Value of Salivary miRNA in Head and Neck Squamous Cell Cancer: Systematic Review and Meta-Analysis.International journal of molecular sciences · 2021Pooled it
- Unraveling the molecular landscape: an overview on gene expression, epigenetic alterations, and therapeutic challenges in head and neck squamous cell carcinoma.Molecular genetics and genomics : MGG · 2026Review
- MiR-3928 functions as a tumor suppressor and prognostic factor in colorectal cancer.Discover oncology · 2026Article
- Mechanism of action of MiR-330-5p targeting ITGA5 in the regulation of proliferation, migration, and invasionof gastric cancer.BMC cancer · 2026Article
- Current and Emerging Protein Biomarkers for the Diagnosis and Prognosis of Head and Neck Cancer.Genes · 2025Review
- Identification of a Novel Salivary Four-miRNA Signature for Non-Invasive Diagnosis of Oral Squamous Cell Carcinoma.International journal of molecular sciences · 2025Article
- MicroRNA let-7a mitigates the progression of oral submucous fibrosis by targeting high-mobility group AT-hook 2.Journal of dental sciences · 2025Article
- Differential Expressions of Immunoregulatory microRNAs in Breast Milk of Mothers of Preterm Versus Term Infants: A Preliminary Study.Medicina (Kaunas, Lithuania) · 2025Article
- Salivaomic Biomarkers-An Innovative Approach to the Diagnosis, Treatment, and Prognosis of Oral Cancer.Biology · 2025Review
- Diagnostic Potential of NEAT1, hsa-let-7a-5p, and miR-506-3p in Early-stage Parkinson's Disease.Current medicinal chemistry · 2025Article
- Mir-let-7a Differential Expression in Oral Squamous Cell Carcinoma and Oral Lichen Planus: Insights for Early Diagnostic Biomarker Development.Reports of biochemistry & molecular biology · 2025Article
- The role and targeting strategies of non-coding RNAs in immunotherapy resistance in oral squamous cell carcinoma.Frontiers in cell and developmental biology · 2025Review
- Review
- Downregulation of salivary miR-3928 as a potential biomarker in patients with oral squamous cell carcinoma and oral lichen planus.Clinical and experimental dental research · 2024Article
- Salivary Biomarkers for Oral Cancer Detection: An Exploratory Systematic Review.International journal of molecular sciences · 2024Article
- Diversity and compositional differences in the oral microbiome of oral squamous cell carcinoma patients and healthy controls: a scoping review.Frontiers in oral health · 2024Article
- Salivary biomarkers in non-invasive oral cancer diagnostics: a comprehensive review.Journal of applied oral science : revista FOB · 2024Review
- Unraveling the significance of exosomal circRNAs in cancer therapeutic resistance.Frontiers in pharmacology · 2023Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundsMicroRNAs (miRNA) are a class of non-protein-coding RNAs that have significant biological and pathological functions. The importance of miRNAs as potential cancer diagnostic biomarkers is gaining attention due to their influence in the regulation of cellular processes such as cell differentiation, proliferation and apoptosis. The aim of this study was to identify significant miRNAs from saliva as potential diagnostic biomarkers in the early diagnosis and prognosis of head and neck squamous cell carcinoma (HNSCC). MATERIALS AND
methodsFive differentially expressed miRNAs (miR-7703, miR- let-7a-5p, miR- 345-5p, miR- 3928 and miR- 1470) were selected from Next Generation Sequencing (NGS) miRNA data generated from our previous study using saliva of 12 HNSCC patients and 12 healthy controls. Their differential expressed miRNAs were subsequently validated by RT-qPCR using saliva samples from healthy controls (n = 80) and HNSCC patients (n = 150). Total RNA was isolated from 150 saliva samples of HNSCC patients and was transcripted into cDNA by TaqMan MicroRNA Reverse Transcription Kit. Using quantitative RT-PCR analysis, salivary miRNAs were identified in HNSCC patients (n = 150) and healthy controlled cases (n = 80). T-tests were used to compare the differences among the various clinical variants.
resultsOn average 160 ng/μl was isolated from 500 μl of saliva. Overall, a good correlation observed between the HNSCC and some of miRNAs expression levels. Salivary miR-let-7a-5p (P<0.0001) and miR-3928 (P< 0.01) were significantly down regulated in saliva of HNSCC patients relative to age and sex-matched healthy controls. A number of salivary miRNAs (miR-let-7a-5p and miR-3928) were correlated with lymph node metastasis (p = 0.003, p = 0.049) and tumour size (p = 0.01, p = 0.02), respectively. However, our preliminary analysis showed no significant differences in salivary miR-1470, miR-345-5p or miR-7703 expression between patients and healthy controls. Most notably, our analysis showed that salivary miR-let-7a-5p and miR-3928 expression levels have significant sensitivity and specificity to distinguish between patients with HNSCC and healthy controls.
conclusionThis study concluded that salivary miR-let-7a-5p and miR-3928 has the potential to be novel non-invasive biomarkers for early detection and prognosis of 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.