ArticleInternational journal of oral science2024
A novel saliva-based miRNA profile to diagnose and predict oral cancer.
Article in International journal of oral science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Circulating microRNAs: a new era in early detection of oral squamous cell carcinoma (OSCC) - a systematic review and meta-analysis.Journal of the Egyptian National Cancer Institute · 2026Pooled it
- Salivary miRNAs along with p53 and EGFR in oral exfoliated cells: a pilot study on candidate noninvasive biomarkers for the early detection of oral cancer in tobacco users.Molecular biology reports · 2026Article
- Article
- Current Trends in Diagnosis and Early Monitoring of Oral Cavity Cancer: Techniques and Biomarkers.Cancers · 2026Review
- Emerging Diagnostic Strategies for Oral Cancer and Oral Potentially Malignant Disorders: A PRISMA-Guided Scoping Review.Diagnostics (Basel, Switzerland) · 2026Review
- Rapid and noninvasive artificial intelligence-assisted diagnostic method for oral squamous cell carcinoma.NPJ digital medicine · 2026Article
- Diagnostic Accuracy and Clinical Utility of Salivary Biomarkers in Oral Squamous Cell Carcinoma: A Meta-Analysis.Cancers · 2026Review
- Review
- Comparative Meta-Analysis: Salivary, Plasma, and Serum miRNA Profiles for Oral Squamous Cell Carcinoma Detection.Journal of personalized medicine · 2026Review
- Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026Review
- Salivary biomarkers in oral cancer diagnosis: advancing conventional treatment strategies.Military Medical Research · 2026Review
- miR-205 Enhances Sensitivity to Genotoxic Agents in HNSCC Cells and Blocks Sphingosine Kinase 2 Action in Tumorigenicity.ACS omega · 2025Article
- The relationship of human tissue MicroRNAs with those from cerebrospinal fluid, tear, sweat, semen, and saliva.Scientific reports · 2025Article
- Identification of a Novel Salivary Four-miRNA Signature for Non-Invasive Diagnosis of Oral Squamous Cell Carcinoma.International journal of molecular sciences · 2025Article
- Photodynamic Therapy Modulates pri-miRNA Expression inCurrent issues in molecular biology · 2025Article
- Exploring the potential of salivary small RNAs as non-invasive biomarkers in pigs.Journal of animal science and technology · 2025Article
- Review
- Impact of HMGA1 on tumorigenesis, prognosis and immune microenvironment in HNSCC: a multi-omics study.NPJ precision oncology · 2025Article
- miRNA regulation of the Akt/mTOR pathway in oral squamous cell carcinoma: a focused review.Discover oncology · 2025Review
- Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
Abstract
Oral cancer (OC) is the most common form of head and neck cancer. Despite the high incidence and unfavourable patient outcomes, currently, there are no biomarkers for the early detection of OC. This study aims to discover, develop, and validate a novel saliva-based microRNA signature for early diagnosis and prediction of OC risk in oral potentially malignant disorders (OPMD). The Cancer Genome Atlas (TCGA) miRNA sequencing data and small RNA sequencing data of saliva samples were used to discover differentially expressed miRNAs. Identified miRNAs were validated in saliva samples of OC (n = 50), OPMD (n = 52), and controls (n = 60) using quantitative real-time PCR. Eight differentially expressed miRNAs (miR-7-5p, miR-10b-5p, miR-182-5p, miR-215-5p, miR-431-5p, miR-486-3p, miR-3614-5p, and miR-4707-3p) were identified in the discovery phase and were validated. The efficiency of our eight-miRNA signature to discriminate OC and controls was: area under curve (AUC): 0.954, sensitivity: 86%, specificity: 90%, positive predictive value (PPV): 87.8% and negative predictive value (NPV): 88.5% whereas between OC and OPMD was: AUC: 0.911, sensitivity: 90%, specificity: 82.7%, PPV: 74.2% and NPV: 89.6%. We have developed a risk probability score to predict the presence or risk of OC in OPMD patients. We established a salivary miRNA signature that can aid in diagnosing and predicting OC, revolutionising the management of patients with OPMD. Together, our results shed new light on the management of OC by salivary miRNAs to the clinical utility of using miRNAs derived from saliva samples.
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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.